c-ECO INSTITUTESYSTEMIC INTELLIGENCE LIBRARY · MIN

c-ECO SYSTEM / DOMAIN LIBRARY

MIN · Domain knowledge

Mining & Mineral Extraction

Risks · Response · Governance · Calibration
Scenarios · Recovery · Sources

c-ECO Institute crest

A domain library connecting systemic risks, monitoring, governance and recovery. Explore nine parts and 35 sections with mechanisms, observations, evidence matrices and documented cases.

English research and learning edition · Scientific references, domain cases and reproducible exercises. Methodological notes →

READING AND EVIDENCE

How to use this library

The library combines domain research, a c-ECO analytical teaching structure and original exercises. References identify mechanisms, methods and documented cases; inclusion does not validate a complete TFP application.

N1 · Analytical and simulated material
The risk–TFP associations, candidate observations, scenario designs and exercise parameters organize inquiry. They are not measured local results, approved operational thresholds or estimates of event frequency. The case must define its function, observations and criteria.
N2 · Reproducible laboratory
Section 20 specifies a synthetic model, assumptions, dependence and random seed. Its Q output is a pedagogical index, separate from SPS. Numerical summaries describe only that declared experiment.
N3 · Sources and scope
Research papers, official documents and case records have distinct roles. This is a curated teaching library, not an exhaustive systematic review. Dynamic sources require a cited version or extraction date; applicability of a legal or technical instrument depends on the actual jurisdiction and activity.
N4 · Governance and learning
The library establishes no statutory power, quorum, emergency command, provider certification, partnership or institutional endorsement. A learning case may be real or simulated. Completion, optional credentialing, permission to submit and licensing remain distinct. Projects and data contributions to the SIL require an associated fellow and applicable review.

PART I

Domain intelligence profile

SECTION 01

Domain overview and system boundary

A mine is best represented as a linked material-and-water system rather than a point on a commodity map. Define ore, waste rock, tailings, process water and receiving environments separately, with boundaries that follow plausible pathways. Compare extraction stages with the post-closure state: reduced production can coincide with increasing water rebound or diminishing treatment capability. For the case dossier, draw a mass-balance diagram and identify which stocks remain hazardous after commercial output ends. This makes long-lived liabilities visible before selecting indicators [M02; M10; M11].

Mining transforms a geological resource into concentrates, metals and construction materials through extraction, beneficiation, transport and waste storage. Its analytical boundary must include exploration, development, operations, temporary suspension, closure and the long post-closure period. Open pits, underground workings, waste rock, tailings, heap-leach facilities and processing plants have distinct failure mechanisms. A mineral-production statistic cannot establish whether these systems remain environmentally or socially recoverable.

The central anticipatory question is when an accumulating disturbance becomes difficult to reverse within the affected watershed, community or ecosystem. A sudden tailings release and decades of acid drainage are different trajectories of the same stewardship problem: material remains after production stops, while receptors and institutions change. The learning case therefore identifies source inventories, transport pathways, exposed receptors, operating decisions and the evidence needed to interrupt a damaging sequence before response options disappear.

Minerals used in renewable energy and digital infrastructure require the same scrutiny as other commodities. Climate benefits at the product-use stage do not establish acceptable local extraction impacts. The library connects mine engineering, geochemistry, hydrogeology, biodiversity, occupational and community exposure, rights, supply chains and closure obligations. TFP applications treat observed conditions, rates of change, uncertainty and restoration capacity as separate analytical quantities rather than substituting a single ESG score for technical investigation.

A domain label is not yet a case boundary. Separate the condition of a resource or asset from the function delivered to users. A nominally available installation may fail to deliver usable service, and a system-wide average can conceal localized loss. Preserve the original physical or institutional unit alongside any normalized representation. The boundary should make it possible to ask what enters, what changes, what leaves and who experiences the consequences.

Case-analysis method
Case fieldRecord
FunctionDescribe the outcome delivered, affected users and the minimum useful unit of service.
BoundaryRecord spatial, technical, organizational and temporal boundaries, including excluded processes.
Reference conditionState what counts as functional performance and which evidence defines that condition.
Exposure and distributionIdentify which groups, assets and ecological functions can be affected differently.
DependenciesIdentify prerequisites, substitutes and common points of failure.
ObservationConnect each important claim to a source, method, scale and update interval.

Section readings [M02; M10; M11]

SECTION 02

Historical development and changing conditions

Mining history is a history of changing waste volumes, processing methods, access infrastructure and expectations of responsibility. Old workings may connect to newer pits, while abandoned waste deposits become sources during redevelopment. A chronology should therefore record construction changes and ownership transitions alongside spills. Compare historical maps, monitoring series and engineering revisions before explaining an event as unprecedented. The analytical objective is to distinguish a genuinely new loading condition from a familiar mechanism that institutions failed to characterize or act upon [M02; M16; M19].

A historical baseline must be examined for changes in exposure, technology, operating practice and observation. Compare episodes using their mechanisms and evidence, rather than treating all events with a similar label as exchangeable observations. A reconstruction should show what was known at each time; later explanations should not be presented as information available to the original decision maker. Recovery and long-term change may require a separate timeline from the initiating incident.

Historical comparison: documented records for further study
Case and periodMechanism to examineComparison questionSource
Mount Polley, Canada / 2014Tailings facility breach investigated through foundation and engineering evidenceAsk which geological assumptions were tested and who could challenge them[M16]
Fundão, Brazil / 2015Tailings release propagated along river systems with physical and ecological effectsFollow sediment, water supply and restoration times across the whole watershed[M17]
Gold King Mine, United States / 2015Investigation triggered an unexpected release of contaminated mine waterIntervention itself needs a hydraulic failure scenario and downstream notification plan[M18]
Butte / Berkeley Pit, United States / post-mining legacyFlooded workings and contaminated groundwater require long-term controlModel post-closure water rebound and stewardship rather than assuming production cessation ends risk[M19]

Section readings [M02; M16; M19]

SECTION 03

Actors, institutions and decision responsibilities

Map institutions by the decisions they can make: an operator controls production, an engineer interprets stability, an environmental authority regulates releases, and communities hold rights and local knowledge. These roles can overlap without becoming interchangeable. A disclosure portal improves access to information but cannot itself validate a facility or compel corrective action. In the learning case, trace one warning from observation to interpretation, independent challenge, operational decision and public communication. Record where evidence or authority could be lost between organizations [M05; M15; M22].

Map actors by the function they perform and the responsibility they actually hold in the case. The same organization may observe a condition, supply a service and participate in a decision; those roles should remain distinguishable. Examine information access, resources, expertise, affected users and accountability together. A list of institution names is not an operating governance arrangement. Record the evidence for each responsibility and the process for resolving a disagreement or correcting a record.

Case-analysis method
FunctionActors to identifyReviewable output
ObserveOperators, observation networks, laboratories and affected usersTimestamped records and methods.
InterpretAnalysts and relevant subject specialistsMechanism hypotheses, alternatives and uncertainty.
ReviewQualified reviewers with declared interestsDocumented assessment and unresolved disagreements.
Decide and executeThe actor with the applicable mandateReasons, authorized action and verifiable completion.
CommunicateResponsible institutions and accessible public channelsMessage, receipt, corrections and feedback.
UpdateData custodians and the review functionVersion, new evidence and conditions for revision.

Section readings [M05; M15; M22; C07]

PART II

Systemic risk intelligence

SECTION 04

Primary systemic risks

Primary risks should be organized by physical mechanism and receptor, not by an undifferentiated high-risk label. Tailings instability depends on geometry, loading, pore pressure and material response; acid drainage depends on mineralogy and geochemical pathways; groundwater drawdown depends on hydraulic connection. Each mechanism demands different observations and response lead times. Build a source–pathway–receptor chain for the selected occurrence and identify the weakest causal link. A comprehensive risk register is useful only when it directs measurement and decisions at that specific link [M01; M03; M04].

The inventory is a structured set of research hypotheses. It separates a threatening condition from the mechanism of loss and from its consequences. The proposed TFP association indicates which question to investigate; it is not evidence that a particular indicator predicts the event. Risk importance depends on the defined function, exposure, duration and usable alternatives. Do not infer frequency, severity or priority from the position of a row in the table.

Thirty domain-specific risk hypotheses
#Risk or threatening conditionMechanism to examineProposed TFP inquiry
1Tailings liquefactionLoss of effective stress permits rapid mobilization of saturated tailingsP: stability margin; ΔV: pore-pressure/displacement trend; Lr: containment and warning access
2Foundation weaknessUnrecognized weak layers invalidate design assumptionsP: strength/loading relation; σ: characterization coverage
3OvertoppingStorage, storm inflow and blocked outlets exceed freeboardP: remaining freeboard; ΔV: rise rate
4Internal erosionSeepage transports particles and enlarges flow pathwaysΔV: seepage/turbidity acceleration
5Spillway obstructionDebris or deformation reduces discharge capacityP: available conveyance; Lr: clearing access
6Pit-wall collapseDiscontinuities, water pressure and excavation destabilize slopesP: deformation/strength model; ΔV: acceleration
7Underground inundationWater ingress exceeds isolation and pumping capabilityP: inflow versus capacity; Lr: redundant pumping
8SubsidenceVoid migration or dewatering changes ground supportΔV: surface movement; σ: unobserved workings
9Acid drainage onsetSulfide oxidation exceeds neutralization capacityP: geochemical potential; ΔV: sulfate/acidity load
10Neutral metalliferous drainageMetals mobilize even without strongly acidic pHP: dissolved concentrations; σ: speciation gaps
11Saline drainageSoluble salts impair freshwater receptorsP: conductivity/ionic composition
12Arsenic mobilizationGeochemical changes release arsenic to water or dustP: species-specific exposure; σ: sampling design
13Mercury releaseAmalgamation and contaminated tailings disperse mercuryP: process emissions; Lr: alternatives and cleanup
14Cyanide loss of containmentProcess solution escapes engineered barriersP: process inventory; ΔV: leak rate
15Tailings dustExposed surfaces emit fine particles containing contaminantsP: respirable fraction; ΔV: wind-driven emission
16Silica exposureDrilling/crushing generates respirable crystalline silicaP: exposure distribution; Lr: source control
17Diesel exhaust accumulationPoor ventilation concentrates combustion productsP: ventilation/exposure ratio
18Groundwater drawdownPumping lowers heads and disconnects wells or ecosystemsΔV: head decline; Lr: replacement supply
19Brine-system disruptionExtraction alters salar water balances and gradientsP: hydrogeological balance; σ: connectivity
20River sedimentationErosion or spills increase sediment loads and habitat burialΔV: suspended/bed sediment flux
21Stream diversion failureDiversions erode or exceed capacity under changed flowsP: design-flow relation; Lr: safe bypass
22Habitat fragmentationRoads and pits interrupt movement and increase edge effectsP: connectivity; ΔV: disturbed area growth
23Induced deforestationAccess and settlement extend land-use effects beyond leasesΔV: external clearing; σ: causal attribution
24Biodiversity recovery failureRevegetation does not restore composition or ecological functionLr: reference-based recovery; σ: long monitoring lags
25Loss of customary accessOperations displace land/water practices and livelihoodsP: documented access; Lr: rights-respecting alternatives
26Cultural-site lossExcavation or inundation damages non-substitutable placesP: exposure boundary; Lr: prevention before irreversible loss
27Water-treatment interruptionPower, reagents or maintenance fail while contaminated inflow continuesLr: autonomy and redundancy
28Legacy liability abandonmentAn operator exits before long-term controls are securedLr: enforceable stewardship capacity
29Critical-mineral supply disruptionConcentrated production transmits local failures to usersΔV: inventory drawdown; Lr: diversified substitution
30Cumulative watershed burdenMultiple facilities jointly exceed receptor toleranceP: combined load; σ: missing inter-operator data

Section readings [M01; M03; M04]

SECTION 05

Amplification mechanisms and secondary risks

Amplifiers alter the relationship between an initiating disturbance and its consequences. A storm may simultaneously increase inflow, damage access and interrupt power; a price downturn may reduce maintenance while closure liabilities persist. Treat these as correlated conditions rather than multiply several independent probabilities. Ask whether the controls themselves share a failure cause: two pumps supplied by one switchboard do not provide the same redundancy as independent power and drainage arrangements. This interpretation links engineering contingency analysis to organizational capacity and downstream exposure [M01; M08; M19].

An amplifier changes the consequences of an initiating condition without necessarily causing the initiating event. Useful counterfactuals hold the threat constant and vary concentration, maintenance, access, information or response capacity. Document the mechanism and the observation that would distinguish it from an alternative explanation. Several amplifiers may share the same upstream cause; counting each one as independent evidence exaggerates confidence.

Amplification mechanisms
AmplifierPropagation mechanism
Extreme rainfall after prolonged wettingRaises water storage and pore pressures together; stress-test drainage and spillways
Drought and competing usersReduces dilution and replacement-water options while increasing conflict
Power loss during stormsPumping, monitoring and treatment fail under the same initiating event
Falling commodity pricesMaintenance and closure resources may shrink before physical hazard decreases
Sparse historical recordsUndocumented workings and waste inventories hide hydraulic connections
Contractor fragmentationResponsibility for design, monitoring and response becomes discontinuous
Road isolationEmergency access and reagent deliveries fail during the period of greatest need
Cumulative neighboring operationsShared watershed load and correlated production pressures invalidate single-site assumptions

Section readings [M01; M08; M19]

SECTION 06

Emerging risks and research horizons

New extraction technologies and expanding transition-mineral demand change the assessment boundary without eliminating familiar environmental mechanisms. Direct lithium extraction may change chemical use, energy needs and spent-brine management; tailings reprocessing may disturb previously contained materials. Compare alternatives using the same functional unit and include residual stocks after the process ends. An emerging-risk assessment should specify what is newly uncertain, which conventional measurements remain valid and what evidence would discriminate among competing mechanisms. Technology labels are poor substitutes for site-specific process balances [M09; M10; M11].

A research horizon is tied to the time needed to investigate, prepare or change a system. It is not a date at which an emerging threat is predicted to occur. Record the reason for concern, the strength of evidence, the exposed function and the observation that would change the priority. Distinguish a newly observed mechanism from a known mechanism whose exposure, scale or institutional context is changing.

Emerging research agenda
Research topicMechanism or knowledge gap
Energy-transition mineral expansionAssess newly accessible deposits and biodiversity/community overlap, rather than assuming climate purpose guarantees local acceptability
Direct lithium extractionCompare chemical, water, energy and spent-brine pathways with conventional processes; performance is site specific
Tailings reprocessingResource recovery can reduce one stock while disturbing stable contaminants and changing containment
Remote/autonomous operationsReduced local staffing changes failure detection, maintenance and incident response dependencies
New rainfall extremesDesign assumptions based on stationary records may underestimate compound loading
Abandoned digital monitoringSensors without long-term calibration, replacement and data custody create false assurance

Section readings [M09; M10; M11]

SECTION 07

Cascades and cross-domain dependencies

A cascade begins when a mine disturbance changes another system's operating conditions. Tailings entering a river may interrupt water treatment; road loss may delay reagents; power failure may stop both pumping and monitoring. Draw directed edges with an explicit transmitted quantity or service, expected delay and receptor. Separate physical transfer from information and contractual dependencies. The network should support an intervention question: which edge can be interrupted before an irreversible receptor loss? Geographic proximity alone does not establish causal dependence [M01; M07; M14; M18].

Sulfide oxidation can generate acidity, liberate metals and continue after a mine closes. Neutralization capacity may delay visible acidification, making a stable pH an incomplete indicator of future drainage. Mineralogical characterization, kinetic testing and drainage chemistry must be interpreted together [M02; M03; M04].

Tailings instability emerges through interactions among material behavior, foundation conditions, pore pressure, geometry and loading history. The initiating event need not be an exceptional storm. Monitoring should test the engineering model, including foundation hypotheses and drainage assumptions, rather than merely compare instruments with historical averages [M01; M05; M16].

Contaminants move as dissolved constituents, colloids and suspended particles. Partitioning changes with pH, redox state and water chemistry; deposited sediment can become a delayed source during later floods. A plume map therefore needs a time axis and sediment compartments [M01; M18].

For each directed dependency, specify the function supplied, the destination, the propagation time and the substitute. Shared-cause failure, interacting threats and cascading propagation are different structures. A directed arrow becomes an explanatory claim only when the timing and mechanism are supported. Test apparent redundancy by removing the common access route, platform, energy supply or specialist on which both alternatives depend.

Directed dependency hypotheses
DependencyMechanism and directionVerification or TFP inquiry
WATDewatering, contamination and treatment link mining to drinking-water and ecosystem flowsSource-load and groundwater-gradient evidence
ENEElectricity and fuel sustain ventilation, pumping and treatmentBackup capacity at actual critical loads
INFDams, roads and bridges carry wastes and response accessShared storm and ground-instability scenarios
CHEReagent manufacture, transport and storage enable processing and remediationChemical inventory and safe alternatives
FORRoad access and clearing propagate habitat and carbon impactsLand-change attribution beyond leases
AGRWater, soil and sediment effects alter irrigation and food pathwaysReceptor-specific exposure and soil sampling
HEAOccupational and community exposures require distinct surveillanceExposure pathways, not ecological concentrations alone
LOGConcentrate transport and reagent delivery create corridor dependenciesAlternative routes and seasonal access
FINCommodity cycles and secured closure resources affect long-term controlsDocumented available capacity and liabilities
GOVPermits, rights and independent review shape response authorityJurisdiction and responsibility map

Section readings [M01; M07; M14; M18; C01; C02]

PART III

Systemic response intelligence

SECTION 08

Readiness and response protocols

Response protocols must be tied to observed mechanisms and safe actions. A displacement alarm, rising seepage turbidity and downstream chemistry excursion require different immediate interpretations. For each trigger, specify observation quality, confirming evidence, authority, communication route and a conservative action while uncertainty is resolved. Avoid implying that an analytic dashboard can authorize engineering work or evacuation. In a simulated mine case, participants can compare monitoring-led operational restriction, precautionary downstream protection and full emergency response using an explicit account of uncertainty and response time [M15; M16; M18].

Preparedness connects a signal to a responsible actor, an available measure and a condition of completion. This learning architecture does not grant emergency command or operational authority to the c-ECO Institute or a course participant. A useful protocol distinguishes checking the signal, protecting exposed functions and verifying recovery. A paper plan contributes to usable capacity only when its relevant assumptions have been tested.

Case-analysis method
StageAction to prepareEvidence
PrepareDefine critical functions, contacts, alternatives and observation coverage.A tested readiness record.
VerifyCheck the signal, the instrument and plausible alternative explanations.A traceable observation and uncertainty statement.
ProtectSelect and implement measures within the responsible actor’s authority.Coverage of priority functions and evidence of execution.
RecoverVerify usable performance before treating the function as restored.Recorded return criteria, monitoring and decision owner.

Section readings [M15; M16; M18]

SECTION 09

Scientific review and decision records

Independent technical review is most valuable before a narrow operating narrative becomes accepted fact. Reviewers need access to original measurements, design assumptions, revisions and dissenting interpretations; a polished summary alone can conceal critical uncertainty. In the exercise, assign separate roles for observation, interpretation and challenge, then test how the recommendation changes when a foundation hypothesis or drainage assumption is disputed. Record the rationale and unresolved evidence rather than manufacturing consensus. The exercise is about review design, not a claim that c-ECO holds statutory dam-safety authority [M05; M16; M22].

A review record separates observation, inference and decision. Record the data version, methods, alternative explanations, relevant expertise, conflicts of interest and unresolved disagreement. Review should be matched to the question and its consequences. Scientific analysis can inform a competent actor without replacing that actor’s mandate. No membership size, quorum or institutional power is established by this teaching library.

Case-analysis method
Review itemQuestion and record
QuestionWhat specific claim is being evaluated?
EvidenceWhich observations, sources and transformations support it?
AlternativesWhat other process could explain the same observation?
IndependenceWhich interests or shared data origins affect review?
DecisionWho can act, on what basis and with which constraints?
RevisionWhat new observation or failure of an assumption reopens the analysis?

Section readings [M05; M16; M22; C05; C07]

SECTION 10

Communication and observation continuity

Communication should distinguish a measured condition from a forecast consequence and a precautionary action. A downstream resident needs location, timing, safe water alternatives and a contact route; a regulator also needs methods, raw data and uncertainty. Publish concentration and sampling time together, explaining whether the result represents a moving plume, background condition or deposited stock. Delayed or inaccessible communication can become a dependency failure itself. The Gold King documentation is useful for comparing sampling networks, interjurisdictional notifications and changing information during an incident [M18; M20].

Continuity of observation should be tested alongside continuity of the function itself. Losing data may increase uncertainty before the physical process visibly changes. Redundancy must be demonstrated against common causes, including power, location, communications, credentials and specialist availability. During disconnected operation, preserve the last reliable observation, record the uncertainty that follows and reconcile timestamps and authorship when information paths return.

Case-analysis method
Continuity capabilityTest
Observation pathTest sensor availability, power, timing and independent confirmation.
Alternative communicationTest actual reach, autonomy and the ability to contact responsible people.
Degraded operationSpecify what can remain usable safely under loss of information or connectivity.
Offline recordKeep controlled copies of essential maps, contacts, definitions and procedures.
Accessible messagesCheck language, disability access, delivery and routes for correction.
ReconciliationPreserve timestamps and authorship when disconnected records are merged.

Section readings [M18; M20; C01]

PART IV

Governance and legal architecture

SECTION 11

International instruments and technical references

International standards and conventions address different objects. Tailings guidance concerns facility lifecycle and accountability; mercury instruments address production, trade, emissions and artisanal processing; rights protections constrain decisions affecting land and communities. They should not be merged into a fictitious global permit. In the learning case, identify each instrument's scope, implementation route and relevant technical requirement before comparing performance. The point is to understand how international expectations influence decisions through specific jurisdictions, contracts and institutions, while preserving the distinction between guidance, binding law and verified compliance [M15; M20; M21].

Classify each instrument before using it. A scholarly article supports an inference, a technical guide describes a method, a standard has a defined scope, and a legal instrument may create obligations only where applicable. The case record should identify the specific provision or method, its version and the activity to which it relates. A source’s institutional reputation cannot by itself establish applicability or demonstrate compliance.

Technical and institutional documents: identify their actual function
ReferenceDocumentUse and scope
[M15]Global Industry Standard on Tailings ManagementTechnical and governance reference; its requirements must be interpreted with applicable jurisdiction and facility context.
[M16]Mount Polley Tailings Storage Facility Breach: Independent Expert Engineering Investigation and ReviewPrimary forensic record for foundation characterization, design assumptions and independent review.
[M17]Laudo técnico preliminar: impactos ambientais decorrentes do desastre de FundãoPrimary environmental assessment documenting downstream damage; distinguish preliminary findings from later attribution.
[M18]Summary Report: EPA Internal Review of the August 5, 2015 Gold King Mine BlowoutPrimary internal investigation of the intervention and release sequence; use its documented findings rather than infer every later transport or health consequence.
[M19]Butte Mine Flooding and current site statusPrimary documentation of mine flooding, contaminated groundwater and long-term treatment obligations.
[M20]Reducing Mercury Use in Artisanal and Small-Scale Gold Mining: A Practical GuidePractical exposure-reduction guidance with process-specific constraints.
[M21]Guidance on developing a national action plan to reduce and, where feasible, eliminate mercury use in artisanal and small-scale gold miningConnects inventories, health strategy and formalization; guidance does not itself authorize mining.

Section readings [M15; M20; M21]

SECTION 12

Jurisdiction-specific responsibilities and requirements

National and regional rules determine permits, safety classifications, monitoring duties, closure requirements and enforcement. Their applicability can change with mine type, facility status, watershed and land tenure. Build an obligations register around the actual case jurisdiction and keep the technical threshold separate from the legal reporting threshold. When comparing countries, normalize the function being regulated rather than assuming that similarly named certificates mean equivalent protection. The domain library supplies an analytical method; local legal interpretation requires current official texts and appropriately qualified review [M15; M16; M21].

The register should cover the actual activity and location, including interfaces between organizations and jurisdictions. Separate responsibility for observing, supervising, deciding and executing. Retain the official source, version consulted and evidence needed to assess a condition. Conflicting definitions and overlapping mandates are analytical findings to investigate. A general library cannot create a universal legal threshold for all settings.

Case-analysis method
Register fieldInformation to preserve
Instrument and versionOfficial title, scope, jurisdiction and date consulted.
Actor and functionThe competent authority, operator, owner or custodian for the relevant activity.
ConditionThe requirement, decision trigger or performance obligation actually applicable.
EvidenceThe observation or document needed to evaluate that condition.
InterfaceOverlaps, conflicts, shared duties and coordination procedures.
ReviewHow changes in the instrument, activity or evidence affect applicability.

Section readings [M15; M16; M21]

SECTION 13

Causation, accountability and cascading consequences

Responsibility extends beyond identifying the immediate release source. Designers, operators, contractors and successor owners may hold different duties, while remediation involves continuing exposure and multiple affected groups. Scientifically, preserve the evidence needed to distinguish source contribution, transport and receptor effects; legally, do not infer liability from correlation alone. A learning dossier should maintain chronology, versioned engineering decisions, sampling custody and the provenance of causal claims. This helps independent review without turning an educational risk analysis into a legal adjudication [M17; M18; M22].

A technical chain of consequences is not automatically a legal allocation of liability. Separate evidence of causation from the duties, control and decisions relevant to each actor. A case may contain direct damage, dependent service interruption and persistent environmental or social consequences on different timescales. The analysis should show which links are documented and which need further investigation, without presuming an institutional restoration fund, mandatory levy or insurance mechanism.

Case-analysis method
LayerAnalytical question
Technical sequenceSeparate the initiating condition, failure mechanism, propagation and consequence.
Duty and controlIdentify the applicable responsibility and the actor able to influence the relevant process.
ExposureTrace the connection between a change of state and an affected function or population.
Alternative explanationsIdentify concurrent conditions and missing evidence relevant to attribution.
Recovery resourcesIdentify documented resources and their access conditions, without assuming an institutional fund or levy.

Section readings [M17; M18; M22]

SECTION 14

Cross-boundary coordination

Watersheds and commodity chains cross administrative boundaries in different ways. A contaminant plume physically moves, whereas a supply disruption travels through inventories, contracts and substitute technologies. Governance must match the pathway: coordinated sampling and upstream notification for rivers; provenance and substitution assessment for mineral sourcing. Compare a transboundary river incident with a concentrated mineral-supply scenario and identify which data must be shared, at what latency and under whose authority. Shared exposure does not imply that every institution controls the source [M08; M09; M18].

Processes and dependencies often cross administrative, organizational or national boundaries. Coordination requires compatible definitions, useful timing, authorized exchange and an identifiable decision interface. Sharing data does not by itself resolve disagreements over objectives, risk allocation or resources. An exercise should expose which decision can be coordinated under existing arrangements and which would require an additional agreement or competent determination.

Coordination across functional boundaries
Boundary / dependencyMechanism to coordinateCase record
WATDewatering, contamination and treatment link mining to drinking-water and ecosystem flowsIdentify the actors, notification time, information definition and decision interface for this boundary.
ENEElectricity and fuel sustain ventilation, pumping and treatmentIdentify the actors, notification time, information definition and decision interface for this boundary.
INFDams, roads and bridges carry wastes and response accessIdentify the actors, notification time, information definition and decision interface for this boundary.
CHEReagent manufacture, transport and storage enable processing and remediationIdentify the actors, notification time, information definition and decision interface for this boundary.
FORRoad access and clearing propagate habitat and carbon impactsIdentify the actors, notification time, information definition and decision interface for this boundary.
AGRWater, soil and sediment effects alter irrigation and food pathwaysIdentify the actors, notification time, information definition and decision interface for this boundary.

Section readings [M08; M09; M18; C07]

PART V

TFP calibration intelligence

SECTION 15

Position (P): candidate observations

A pressure indicator should represent a mechanism-specific distance from unacceptable performance. Freeboard measures storage margin, pore pressure contributes to effective-stress interpretation, and contaminant load combines flow with chemistry. None is an interchangeable measurement of a universal mining pressure. State direction, baseline, receptor and intended use before normalizing an indicator. If several variables are combined for an educational P score, retain their original units and disclose weights. A low average must not cancel a critical geotechnical or toxicological condition [M01; M03; M05].

P represents position relative to a specified loss of function. The raw observation, reference condition, direction of deterioration and boundary of failure must remain explicit. A candidate monotone transformation can help compare states within a defined case, but it does not establish the threshold or validate an aggregate index. Capacity, delivered performance and exposure may require different indicators even when they concern the same installation.

Thirty candidate observations for P and related case questions
#Candidate observationUnit or definitionInterpretation and data requirement
1Tailings freeboardmSurvey water and crest elevations consistently; reference approved design and storm storage
2Pore-water pressurekPaUse location-specific piezometer elevations and calibration; interpret against effective stress model
3Slope displacementmmTrack instrument geometry and reference stability; absolute movement alone is insufficient
4Seepage dischargeL/sMeasure drainage location and season; rising flow needs chemistry and structural interpretation
5Seepage turbidityNTUUse with particle sampling; a proxy for internal erosion is not a diagnosis
6Tailings saturation% or water contentSpecify laboratory or field method and material zone
7Factor of safety estimatedimensionlessReport load cases, constitutive assumptions and uncertainty; not a directly measured certainty
8Drainage aciditymg/L as CaCO3Measure acidity/alkalinity and flow; distinguish concentration from contaminant load
9Net neutralization potentialkg CaCO3/tInterpret mineralogy, sampling representativeness and test limitations
10Sulfate concentrationmg/LTrack source and background; dilution can conceal increasing production
11Dissolved arsenicµg/LSpecify filtration, speciation where relevant and analytical detection limit
12Dissolved metal loadkg/dayCombine discharge and concentration with propagated uncertainty
13Electrical conductivityµS/cmUse temperature compensation and ion-specific validation
14Receiving-water pHpH unitsRecord timing, calibration and diel variability; pH is logarithmic
15Dissolved oxygenmg/LMeasure depth and temperature; interpret oxygen demand and habitat context
16Groundwater headm elevationUse common vertical datum and screened interval
17Spring dischargeL/sRetain seasonal reference and competing abstraction information
18Wetland water levelcm relative datumPair hydrology with vegetation and extraction histories
19Brine extractionm³/daySeparate brine and freshwater streams; reconcile meters with process balances
20Freshwater withdrawalm³/dayReport source, consumptive fraction and environmental allocations
21Suspended sedimentmg/LPair storm sampling with discharge and upstream controls
22Contaminant sediment inventorykg or mg/kg with volumeCharacterize spatial heterogeneity and remobilization potential
23Respirable dustmg/m³Specify particle fraction, location and exposure duration
24Respirable crystalline silicamg/m³Use validated occupational sampling and task records
25Mercury in process balanceg/unit product or kg/yearDistinguish purchase, inventory, release and recovery; include informal pathways
26Disturbed landhaSeparate active footprint, indirect change and successfully rehabilitated land
27Habitat connectivitydefined graph metricDeclare habitat model, species and spatial resolution
28Treatment uptime% and outage durationInclude bypasses, untreated flow and maintenance records
29Reagent autonomydays at stated flow/loadCheck physical stock, delivery routes and usable condition
30Post-closure monitoring completeness% scheduled observationsReport missing critical locations rather than only an aggregate completion rate

A didactic monotone transformation for an indicator that worsens as it rises is p = clip[(x − x_ref)/(x_failure − x_ref), 0, 1]. Reverse the direction for a reserve that deteriorates as it falls. The expression makes the reference points visible; it does not choose those points, prove comparability or establish an operational aggregate. Retain x in its original unit and justify the function separately for each case.

Section readings [M01; M03; M05]

SECTION 16

Velocity (ΔV): rates and trajectory

Rates of change help reveal when decision time is contracting. Accelerating displacement can require faster engineering assessment, while a groundwater decline trend may support a seasonal management decision. Calculate changes over intervals appropriate to sensor precision and process dynamics; dividing two noisy readings by a short interval can create a misleading alarm. Distinguish seasonal cycles, operational steps and sustained change. The case exercise should compare decisions made from an absolute threshold with those made from a forecast lead time, while retaining uncertainty in the extrapolation [M01; M04; M11].

ΔV describes direction and rate of change over a declared interval. Two systems at the same apparent position may have different reaction times because their trajectories differ. Compare rates using consistent units, observation windows and reference systems. Check seasonality, missing periods, reporting changes and process acceleration before extrapolating. A time-to-boundary calculation is conditional on its trajectory assumption; it is not a general forecast.

Ten families of rate-of-change observations
ProcessRate / unitInterpretation
Pore-pressure risekPa/dayCompare matched instruments and rainfall/drainage conditions
Slope accelerationmm/day²Filter noise and retain raw series; require engineering interpretation
Freeboard depletionm/dayProject inflow and pumping under an explicit forecast horizon
Acidity-load growthkg CaCO3-equivalent/day²Use flow-weighted chemistry and consistent sampling
Groundwater declinem/yearSeparate seasonal cycles, pumping response and long-term trend
Pit-water reboundm/dayCompare post-closure rise with overflow elevations and treatment readiness
Sediment remobilizationkg/hourEvent-scale flux depends on discharge and sediment availability
External forest clearingha/monthCompare lease, access corridor and matched reference areas
Treatment capacity erosionm³/day per monthTrack outages, fouling and changed influent load
Restoration trajectoryreference-metric change/yearCompare multiple ecological functions; fast cover gain need not mean composition recovery

Section readings [M01; M04; M11]

SECTION 17

Uncertainty (σ): evidence and model limits

Mining uncertainty includes unsampled geology, instrument error, model structure and incomplete institutional records. These components cannot always be collapsed into one symmetric percentage. Separate parameter ranges from alternative causal models, such as different groundwater connections or foundation geometries. Ask which new observation could reduce consequential uncertainty before the next irreversible action. Published disclosure inventories support screening, but their completeness and reporting consistency need independent examination. In the dossier, preserve missing data explicitly rather than treating an unreported facility characteristic as a safe value [M05; M12; M13].

Uncertainty should be recorded by object and source. Measurement uncertainty, sampling limitations, parameter uncertainty, model structure, future scenarios and institutional ambiguity cannot be replaced by one unsupported percentage. More simulation samples can reduce numerical sampling error without resolving a missing mechanism. Identify which uncertainty changes the decision and which further observation, comparison or test could reduce it.

Case-analysis method
Source of uncertaintyObject affectedTreatment
MeasurementInstrument error, drift, reference system and quality controls.Calibration, cross-check and traceable metadata.
SamplingSpatial, temporal or population coverage.A design matched to the decision and exposed groups.
ParametersValues weakly identified by available observations.Estimation, sensitivity and alternatives.
Model structureProcesses excluded or represented inadequately.Competing models and tests outside the fitting conditions.
ScenarioUncertain future demand, environment or operating practice.A declared set of plausible trajectories.
DependenceCorrelated conditions or failures treated as independent.Joint analysis and explicit common-cause hypotheses.
InstitutionsUnverified duties, access or resource availability.Documentary checks and mobilization tests.
Unknown mechanismsA plausible process with insufficient evidence.A research question and decisions robust to the unresolved gap.

Section readings [M05; M12; M13; C06]

SECTION 18

Reversibility liquidity (Lr): usable recovery resources

Restoration capacity depends on the continuing source as well as the receptor. A treatment plant may reduce dissolved loads while a sediment stock remains; revegetation may stabilize surfaces without restoring ecological composition. Define a recovery objective, feasible pathway, time horizon and resource dependency for each affected function. Include post-closure inflow, reagent delivery and monitoring access under adverse conditions. Lr can then represent evidence-backed capacity in the educational analysis, with non-substitutable cultural or ecological losses recorded outside any compensatory average [M02; M03; M14; M19].

Lr examines resources that can preserve, contain or recover the defined function within the relevant time. A resource listed in an inventory is different from a resource that is accessible, compatible, staffed and mobilizable. Record capacity, useful arrival time, duration, dependencies and evidence of testing. Avoid averaging away an essential bottleneck. Recovery of a service does not necessarily restore ecological condition, accumulated losses or public trust.

Recovery resources to verify in the case
Recovery resourceAvailability or mobilization questionVerification or dependency
Geotechnical expertiseCharacterize materials and stability before re-entry or earthworksQualified independent interpretation with site access
Hydrogeological teamMap pathways, rebound and receptorsWells, datums and pumping histories
Water-treatment trainsControl continuing contaminated dischargeInfluent envelope, redundancy and residual management
Reagent stockMaintain treatment during access disruptionUsable quantity and alternative supply chains
Emergency containmentIntercept limited releases without shifting harm downstreamEngineering design and safe siting
Analytical laboratoriesVerify metals, speciation and exposure changesMethods, detection limits and chain of custody
Sediment management capabilityAddress deposited stocks and remobilizationCharacterization and disposal compatibility
Ecological restoration teamRecover functions with reference trajectoriesNative material, soils and multi-year monitoring
Community liaison and rights supportDesign accessible warnings and restoration outcomesParticipation, language and grievance access
Post-closure stewardship arrangementsSustain monitoring and controls after extraction stopsNamed responsibilities and independently reviewable evidence

Section readings [M02; M03; M14; M19]

PART VI

Scenario and simulation intelligence

SECTION 19

Stress scenarios and comparative strategies

Scenario design should vary causal structure, not only inflate all inputs together. Compare extreme inflow with blocked drainage, dry windy conditions over exposed tailings, and post-closure water rebound after treatment interruption. Include a case in which measurements appear normal because monitoring misses the relevant compartment. Specify initiating conditions, operating decisions, exposed receptors and response time. The resulting scenarios teach why a facility can be robust to one hazard yet vulnerable to another, and why operational closure does not imply environmental recovery [M01; M11; M16; M19].

A stress scenario states the initiating condition, prior state, time sequence, exposed function, shared dependencies and feasible responses. Its purpose is to reveal when a strategy loses usefulness and why. Compare alternatives across several conditions, including absent substitutes and simultaneous demand. Scenarios should lead to observations, tests and resource questions; assigning a precise event probability requires a separate justified model and evidence.

Five domain-anchored stress-test designs · N1
ScenarioInitiating mechanismObservation designStrategy comparison
A · Tailings liquefactionLoss of effective stress permits rapid mobilization of saturated tailingsCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
B · Internal erosionSeepage transports particles and enlarges flow pathwaysCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
C · Neutral metalliferous drainageMetals mobilize even without strongly acidic pHCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
D · Groundwater drawdownPumping lowers heads and disconnects wells or ecosystemsCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.
E · Loss of customary accessOperations displace land/water practices and livelihoodsCheck which observation distinguishes onset, propagation and loss of the defined function.Compare current practice, improved readiness and a structural alternative; remove one shared prerequisite.

Section readings [M01; M11; M16; M19]

SECTION 20

Reproducible simulation and sensitivity analysis

A stochastic mining exercise requires a defined outcome: overtopping, receptor-load exceedance or treatment interruption, rather than an ambiguous global collapse probability. Sample uncertain inputs only where distributions are defensible and retain alternative models where knowledge is structural. Storm inflow, power disruption and access loss may be dependent. A useful comparison contrasts independent and common-cause assumptions to show how a convenient simplification changes conclusions. Synthetic results should support reasoning about evidence and controls, with no claim to be an operational mine forecast [M01; M05; M15].

Simulation is an explicit transformation of assumptions. Input distributions, dependencies, parameter estimation, output definition and testing must be documented. Numerical convergence does not establish model validity. Examine sensitivity to the function used, the weights selected, dependence assumptions and conditions outside the fitting data. The reproducible laboratory below is a synthetic exercise, separated from SPS and from any claim about real-event frequency.

Reproducible synthetic laboratory · N2
ElementSpecification
Samples and seed10,000 samples; Python Random; seed 527410934.
Reference centersP = 0.72; ΔV = 0.62; σ = 0.40; Lr = 0.38.
Latent dispersion0.40, 0.45, 0.30, 0.40, respectively.
Common-factor loading0.65, 0.55, 0.35, −0.45, respectively.
Dependence constructionz_j = a_j g + √(1 − a_j²) ε_j; g and ε_j are independent standard normal draws.
Bounded transformationx_j = logistic[logit(m_j) + s_j z_j].
Learning outputQ = 0.35P + 0.25ΔV + 0.15σ + 0.25(1 − Lr).
Comparison conditionQ ≥ 0.70, selected only for this synthetic laboratory.
Calculated outputs under the declared assumptions
StatisticValue
Mean0.617
5th percentile0.515
Median0.620
95th percentile0.712
Fraction with Q ≥ 0.707.97%

The factor loadings define association on the latent scale. Correlations after the nonlinear transform should be estimated from the simulated samples. Q is a teaching index and is not SPS. Its exceedance fraction concerns the generated sample under these assumptions; it is not the probability of a real event or a forecast over a stated number of years. A temporal forecast would require a separately specified process and observation model.

Reproduce the calculation in Python
from random import Random
from math import log, exp, sqrt
from statistics import mean
rng = Random(527410934)
m = [.72, .62, .40, .38]
s = [.40, .45, .30, .40]
a = [.65, .55, .35, -.45]
q = []
for _ in range(10000):
    g = rng.gauss(0, 1)
    x = []
    for mj, sj, aj in zip(m, s, a):
        z = aj*g + sqrt(1-aj*aj)*rng.gauss(0, 1)
        x.append(1/(1+exp(-(log(mj/(1-mj))+sj*z))))
    p, v, u, lr = x
    q.append(.35*p+.25*v+.15*u+.25*(1-lr))
q.sort()
print(mean(q), q[499], (q[4999]+q[5000])/2, q[9499])
print(sum(x >= .70 for x in q)/len(q))

Sensitivity exercise: remove the common factor, vary one dispersion, change the weight of recovery resources, and compare the ranking of the selected strategies. Then state which domain observations would be needed to replace each illustrative assumption. Use a suitable estimator when inputs are dependent; the common-factor experiment is a dependence check, not a claim that a particular Sobol estimator applies unchanged.

Section readings [M01; M05; M15; C03; C06]

SECTION 21

Restoration and performance verification

Recovery simulation should track stocks and bottlenecks. Water treatment removes a load at a finite rate, while upstream generation and sediment remobilization can replenish it; ecological function follows different timescales. Model source reduction, containment, treatment and receptor recovery separately. Test whether an intervention merely transfers contaminants into sludge requiring secure management. Participants should identify conditions under which the proposed sequence fails, such as continued inflow or loss of access. The objective is an intelligible process model, not an unsupported promise of return to baseline [M02; M03; M18].

Restoration follows prerequisites and verification conditions rather than a universal fixed clock. Tasks may proceed in parallel only where they do not compete for the same people, access, equipment or information. Protect essential functions while the critical path is addressed. Define what is measured before returning service, who can make that determination and which effects require continued observation after a technical restart.

Case-analysis method
StageAction and prerequisiteEvidence of usable progress
Protect essential usersProvide a feasible interim function while restoration proceeds.Coverage and actual receipt.
Restore prerequisitesRecover access, inputs, energy, information and competent personnel.Verified availability for the next task.
Restore the processRepair and operate the affected function within its relevant constraints.Technical tests matched to the failure mechanism.
Verify performanceMeasure the delivered outcome and remaining exposure.A predeclared verification record.
Authorize and communicateRecord who can declare the relevant return condition.Clear status, limitations and notification.
Follow upMonitor persistent effects and resolve causal and monitoring gaps.A review record and tracked corrective actions.

Section readings [M02; M03; M18]

PART VII

Restoration and recovery architecture

SECTION 22

Recovery provider capability

Provider qualification should follow the task's mechanism and consequences. Geotechnical stability review, metal speciation, hydrological modeling and ecological restoration require different expertise, equipment and independence. Request demonstrable methods, comparable experience and the capacity to document uncertainty. Commercial availability does not establish fitness for a specific waste chemistry or habitat. For the exercise, evaluate a proposed team against the failure chain and identify missing capabilities. This is a due-diligence learning method and does not assert that an institutional c-ECO provider-certification program is already operating [M03; M15; M16].

Capability assessment must be specific to the task, place and stress conditions. A training certificate cannot demonstrate that a team can mobilize and deliver the required function. Inspect competence, safety, compatibility, relevant experience and actual availability. Define the verification method and limits of recognition. This teaching library does not establish a c-ECO provider certification scheme or substitute for professional or regulatory requirements.

Case-analysis method
CapabilityVerification
Technical capabilityEvidence relevant to the specific task, process and failure mechanism.
MobilizationA demonstrated route, team, equipment and useful arrival time.
CompatibilityProof that resources can work with the installation, data and local constraints.
Safety and responsibilitiesRelevant professional duties, safe work and accountable supervision.
VerificationPerformance tests, records and independent review proportionate to the task.
ContinuitySubstitutes and supplies under simultaneous demand or extended interruption.

Section readings [M03; M15; M16]

SECTION 23

Recovery sequencing and time constraints

The order of intervention can determine whether restoration remains feasible. First protect people and avoid secondary failures, then control the continuing source, stabilize pathways and address exposed receptors. Sampling must continue through earthworks because disturbance can release previously immobile contaminants. Compare removal, isolation and monitored recovery against site conditions rather than treating excavation as inherently superior. A phased plan should contain decision points where new evidence changes the next action. The Gold King and Fundão records illustrate why immediate visible cleanup and long-term watershed recovery are different tasks [M17; M18].

A recovery time objective is a decision criterion to test against real capacity. Distinguish mobilization, work, verification and decision time, and identify dependencies between tasks. Shared resources can prevent apparently parallel activities from proceeding together. Repeating the sequence with unavailable access, a specialist or a verification service reveals where a target relies on an untested assumption.

Case-analysis method
Sequencing itemCase requirement
Task and functionDefine the outcome, prerequisites and critical users.
Time componentsSeparate mobilization, execution, verification and decision time.
Shared resourcesIdentify people, equipment, access and systems needed by more than one task.
Parallel workDemonstrate that tasks can proceed together without competing for the same bottleneck.
Completion conditionSpecify the observation that permits the next task or return of the function.
SensitivityRepeat with unavailable resources or longer lead times to expose the critical path.

Section readings [M17; M18]

SECTION 24

Equipment, inputs and replenishment

An inventory must describe usable capability, not a nominal equipment count. Pumps need compatible power, treatment units need the right influent envelope, laboratories need relevant detection limits, and personnel need safe access. Record location, condition, deployment time, autonomy and shared dependencies for each resource. Then test the inventory against a plausible simultaneous power-and-road outage. Materials stored nearby may be exposed to the same event as the mine. The recovery exercise should make these constraints visible before declaring a response capacity adequate [M03; M15; M19].

Inventory analysis connects each item to a protected function. Use condition, compatibility, accessibility and consumption under stress rather than a nominal stock count alone. Replenishment time must include procurement, transport, installation and verification where relevant. A substitute that depends on the same supplier or platform may disappear in the same event. Keep the last inspection date and the evidence supporting usable availability.

Case-analysis method
Inventory fieldVerification
SpecificationIdentity, quantity, condition, compatibility and installation requirements.
AvailabilityLocation, access rights, expiry where relevant and verification date.
Stress consumptionUseful stock under the conditions studied, including losses and surge demand.
ReplenishmentSupplier, lead time, transport constraints and alternatives.
Common dependenceOther stocks or substitutes that share a supplier, access route, platform or energy source.
TestEvidence from inspection, deployment or a representative mobilization exercise.

Section readings [M03; M15; M19]

SECTION 25

Mutual aid and cooperation arrangements

Mutual aid is credible when organizations can share the required technical capability under the actual incident conditions. A neighboring operation may possess equipment but face the same storm, power shortage or reagent disruption. Define mobilization, access, compatibility, information sharing and responsibilities in advance. Include community water supply and specialist laboratories alongside heavy machinery. A learning agreement can specify questions to resolve without implying a signed institutional arrangement. The analytical task is to compare nominal regional resources with the resources that remain available during a correlated event [M15; M18; M19].

Cooperation contributes to recovery when its scope, activation, resources and practical availability are demonstrated. Record who requests support, who authorizes it, the useful arrival time, responsibility for the work and conditions of return. Consider simultaneous demand across participants. A reference to an organization or network in the literature does not imply that c-ECO or a case partner has joined it or secured a deployment commitment.

Case-analysis method
Agreement elementQuestion
ActivationWho can request and authorize support, and on what documented basis?
ResourceWhat can actually be supplied, at what capacity and for how long?
DeliveryWhich access, transport, compatibility, information and safety conditions apply?
SimultaneityWhat happens when several participants need the resource at the same time?
ResponsibilityWhich actor controls the task and its records, verification and constraints?
ReviewHow are performance, remaining gaps and revised arrangements recorded?

Section readings [M15; M18; M19]

PART VIII

Research and source library

SECTION 26

Source classification and evidence quality

Source classification describes who produces a record and for what purpose; it is not an automatic quality ranking. An operator's high-frequency piezometer series may be essential but require calibration and independent interpretation, while a global peer-reviewed mining map may be unsuitable for a small unrecorded facility. Evaluate spatial resolution, temporal coverage, method, incentive and reproducibility separately. Preserve original records alongside derived indicators. The strongest learning dossier combines engineering, environmental and community evidence while documenting disagreements instead of selecting a convenient single source [M05; M12; M13].

Source classes organize origin and function; they do not form an automatic hierarchy of evidential strength. An official statistic, an operational record and a causal study answer different questions. Classify the product, not only the organization. Detect shared data origins so that a dashboard, article and secondary report based on one observation are not counted as three independent confirmations.

Case-analysis method
Source classContributionQuality criterion
A · Institutional / officialOfficial statistics, instruments, technical guidance and investigation records.Mandate, method, version, scope and actual applicability.
B · Operational / technicalMeasurements, process records, assets, inventories and delivered performance.Traceability, coverage, quality controls and usable access.
C · Academic / independentResearch designs, mechanism studies, models and independent observations.Methods, inference, reproducibility and fit to the question.

Section readings [M05; M12; M13; C04; C05]

SECTION 27

Institutional, regulatory and technical sources

Regulatory and intergovernmental sources supply standards, incident records, permits and comparative inventories. Match the product to the question: technical guidance defines an assessment process, while a laboratory result reports a sampled condition. Neither proves general compliance on its own. For a historical case, distinguish preliminary environmental assessments from final forensic conclusions and later monitoring updates. Record publication date and investigation stage. This practice enables meaningful international comparison without assuming that institutional authority removes every uncertainty in an individual source [M15; M16; M17; M18; M21].

Institutional sources should be selected by product, method and scale. Record whether the source defines a requirement, observes a condition, reports an investigation or synthesizes a literature. A current portal may contain several editions and methods; cite the actual version used. Public access does not establish accuracy for a different question, and a restricted source can still be used only under its authorized conditions.

Institutional and technical source register
IDProduct / documentWhy it matters
[M15]Global Industry Standard on Tailings ManagementTechnical and governance reference; its requirements must be interpreted with applicable jurisdiction and facility context.
[M16]Mount Polley Tailings Storage Facility Breach: Independent Expert Engineering Investigation and ReviewPrimary forensic record for foundation characterization, design assumptions and independent review.
[M17]Laudo técnico preliminar: impactos ambientais decorrentes do desastre de FundãoPrimary environmental assessment documenting downstream damage; distinguish preliminary findings from later attribution.
[M18]Summary Report: EPA Internal Review of the August 5, 2015 Gold King Mine BlowoutPrimary internal investigation of the intervention and release sequence; use its documented findings rather than infer every later transport or health consequence.
[M19]Butte Mine Flooding and current site statusPrimary documentation of mine flooding, contaminated groundwater and long-term treatment obligations.
[M20]Reducing Mercury Use in Artisanal and Small-Scale Gold Mining: A Practical GuidePractical exposure-reduction guidance with process-specific constraints.
[M21]Guidance on developing a national action plan to reduce and, where feasible, eliminate mercury use in artisanal and small-scale gold miningConnects inventories, health strategy and formalization; guidance does not itself authorize mining.

Section readings [M15; M16; M17; M18; M21]

SECTION 28

Operational observations and monitoring products

Operational records contain the temporal detail needed to reconstruct a failure trajectory: loading, water balance, maintenance, instrument outages and changes in production. Their value depends on continuity, calibration and preservation of revisions. Compare a reported summary against raw measurements and engineering context where available. The exercise should ask which observations were missing when a decision was made, rather than judge only with hindsight. Industry disclosures can support comparative screening, but verification and access to the underlying engineering basis remain necessary [M05; M10; M22].

Operational observations should show what the system delivered, not merely that an asset was declared available. Inspect the acquisition process, sensor or reporting changes, gaps, coverage and quality controls. Compare records with independent observations where feasible. Aggregated performance, a status dashboard and user experience can diverge because they concern different units, locations, periods or definitions of availability.

Observation products to obtain for the case
ObservationUnitInterpretationProvenance record
Tailings freeboardmSurvey water and crest elevations consistently; reference approved design and storm storageRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Pore-water pressurekPaUse location-specific piezometer elevations and calibration; interpret against effective stress modelRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Slope displacementmmTrack instrument geometry and reference stability; absolute movement alone is insufficientRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Seepage dischargeL/sMeasure drainage location and season; rising flow needs chemistry and structural interpretationRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Seepage turbidityNTUUse with particle sampling; a proxy for internal erosion is not a diagnosisRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Tailings saturation% or water contentSpecify laboratory or field method and material zoneRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Factor of safety estimatedimensionlessReport load cases, constitutive assumptions and uncertainty; not a directly measured certaintyRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Drainage aciditymg/L as CaCO3Measure acidity/alkalinity and flow; distinguish concentration from contaminant loadRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Net neutralization potentialkg CaCO3/tInterpret mineralogy, sampling representativeness and test limitationsRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Sulfate concentrationmg/LTrack source and background; dilution can conceal increasing productionRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Dissolved arsenicµg/LSpecify filtration, speciation where relevant and analytical detection limitRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.
Dissolved metal loadkg/dayCombine discharge and concentration with propagated uncertaintyRecord acquisition, coverage, timestamp, reference, quality controls and the responsible custodian.

Section readings [M05; M10; M22]

SECTION 29

Academic research and independent evidence

Academic and civil-society research can reveal indirect effects and challenge narrow operating boundaries. Spatial comparisons may identify forest loss associated with infrastructure, while community-led observations reveal access and exposure changes missed by formal networks. Examine study design, counterfactual, sampling coverage and rights over contributed information. Peer review supports scrutiny but does not turn a global association into site-specific proof. Use these sources to generate testable mechanisms and improve monitoring, documenting both their explanatory contribution and the evidence still required for a local decision [M06; M07; M08; M14].

Read the research design before transferring a conclusion. Identify the question, unit of analysis, method, comparison, result, limitations and conditions that matter for the case. Foundational concepts, empirical studies, critical replications and technical syntheses serve different functions. A literature-supported mechanism may justify a hypothesis without validating a local threshold, forecasting performance or a complete TFP application.

Academic reading map: mechanisms and methods
IDResearch workContribution and limit
[M01]Mine tailings dams: Characteristics, failure, environmental impacts, and remediationConnects tailings composition, release pathways and remediation; useful for distinguishing structural failure from contaminant mobility.
[M02]Mine Wastes: Past, Present, FutureFrames mine waste as a persistent geological and societal legacy rather than an operational by-product only.
[M03]Acid mine drainage remediation options: a reviewCompares active and passive treatment and the conditions limiting their reliability.
[M04]Acid Mine Drainage (AMD): causes, treatment and case studiesExplains why mineralogy, water and oxygen determine site-specific drainage potential.
[M05]Tailings facility disclosures reveal stability risksUses disclosed facility data; teaches both comparative analysis and the limits of self-reported inventories.
[M06]Renewable energy production will exacerbate mining threats to biodiversitySpatial screening of potential overlap; mapped influence zones are not measured impact at every location.
[M07]Mining drives extensive deforestation in the Brazilian AmazonShows why roads, settlement and processing links extend analysis beyond lease boundaries.
[M08]The social and environmental complexities of extracting energy transition metalsExamines co-occurring environmental, social and governance pressures across deposits.
[M09]Sustainable minerals and metals for a low-carbon futureConnects transition demand to justice, extraction governance and material efficiency.
[M10]Energy and greenhouse gas impacts of mining and mineral processing operationsLife-cycle framing helps identify process energy burdens and functional-unit effects.
[M11]Lithium recovery from brines: A vital raw material for green energies with a potential environmental impact in its mining and processingLinks brine extraction technologies to hydrological and environmental assessment requirements.
[M12]A global-scale data set of mining areasProvides mapped footprints; absence from an inventory is not evidence of absent mining.
[M13]An update on global mining land useUpdated spatial inventory supporting reproducible exposure overlays and change assessment.
[M14]Resource extraction and infrastructure threaten forest cover and community rightsExamines infrastructure expansion and forest-community rights as linked governance processes.
[M22]Tailings facility failures in the global mining industry: Will a ‘transparency turn’ drive change?Explores why disclosure must be linked to accountability and organizational change.
[C01]Identifying, understanding, and analyzing critical infrastructure interdependenciesDistinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.
[C02]Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic FrameworkProvides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.
[C03]Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity indexMethodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.
[C04]The FAIR Guiding Principles for scientific data management and stewardshipGuides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.
[C07]A general framework for analyzing sustainability of social-ecological systemsSupports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

Section readings [M06; M07; M08; M14]

PART IX

Evidence matrices and historical intelligence

SECTION 30

Source–variable correspondence

Build the source-to-variable map from the observation process upward. A piezometer measures hydraulic head or pressure at a screened location; it does not directly measure overall stability. A satellite product detects mapped land change; it does not establish its social cause. For every proposed TFP input, record the transformation from source measurement to interpretation, including units, lag and uncertainty. This makes it possible to challenge a pressure score without losing the underlying evidence and prevents indicators from acquiring more authority than their measurements support [M05; M11; M12; M13].

The source–variable matrix exposes the path from an observation to an analytical representation. Preserve the raw unit, time, location, method, transformation and uncertainty. Multiple derived variables may share one observation and therefore share its limitations. Record the code or reproducible procedure, authorized access and version. A score should remain inspectable through its originating evidence rather than replacing that evidence.

Source–variable design matrix
ObservationUnitSource requirementCandidate analytical questionTransformation and limit
Tailings freeboardmSurvey water and crest elevations consistently; reference approved design and storm storageP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Pore-water pressurekPaUse location-specific piezometer elevations and calibration; interpret against effective stress modelP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Slope displacementmmTrack instrument geometry and reference stability; absolute movement alone is insufficientσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Seepage dischargeL/sMeasure drainage location and season; rising flow needs chemistry and structural interpretationLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Seepage turbidityNTUUse with particle sampling; a proxy for internal erosion is not a diagnosisP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Tailings saturation% or water contentSpecify laboratory or field method and material zoneP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Factor of safety estimatedimensionlessReport load cases, constitutive assumptions and uncertainty; not a directly measured certaintyσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Drainage aciditymg/L as CaCO3Measure acidity/alkalinity and flow; distinguish concentration from contaminant loadLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Net neutralization potentialkg CaCO3/tInterpret mineralogy, sampling representativeness and test limitationsP / stateVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Sulfate concentrationmg/LTrack source and background; dilution can conceal increasing productionP and ΔV / trajectoryVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Dissolved arsenicµg/LSpecify filtration, speciation where relevant and analytical detection limitσ / evidence qualityVerify whether the observation supports this analytical use; preserve the raw record and transformation.
Dissolved metal loadkg/dayCombine discharge and concentration with propagated uncertaintyLr / usable resourcesVerify whether the observation supports this analytical use; preserve the raw record and transformation.

Section readings [M05; M11; M12; M13; C04; C05]

SECTION 31

Source–risk correspondence

The source-to-risk matrix tests coverage of the failure chain. A rainfall forecast informs loading, a water-level series informs storage, and an engineering model links these to facility performance. Downstream chemistry may detect a release only after prevention options have narrowed. Mark whether each source informs initiation, propagation, exposure or recovery, and where confirmation comes too late. The matrix should expose risks supported only by proxy data. A large bibliography is less useful than a short, traceable evidence chain with a clearly identified observational gap [M01; M15; M18].

A source–risk matrix should cover the threat, the observed state, the mechanism and the consequences separately. Evidence that an event occurred does not alone show why a function failed or who was affected. Use a chronology and alternative explanations to test the chain. A citation becomes useful when the specific part of the claim it supports and its limits are visible.

Source–risk evidence matrix
RiskProposed mechanismEvidence chainInvestigation requirement
Tailings liquefactionLoss of effective stress permits rapid mobilization of saturated tailingsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Foundation weaknessUnrecognized weak layers invalidate design assumptionsThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
OvertoppingStorage, storm inflow and blocked outlets exceed freeboardThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Internal erosionSeepage transports particles and enlarges flow pathwaysThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Spillway obstructionDebris or deformation reduces discharge capacityThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Pit-wall collapseDiscontinuities, water pressure and excavation destabilize slopesThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Underground inundationWater ingress exceeds isolation and pumping capabilityThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
SubsidenceVoid migration or dewatering changes ground supportThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Acid drainage onsetSulfide oxidation exceeds neutralization capacityThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.
Neutral metalliferous drainageMetals mobilize even without strongly acidic pHThreat / state → mechanism → consequence.Specify the dated observation for each link and at least one alternative explanation.

Section readings [M01; M15; M18]

SECTION 32

Monitoring gaps and research priorities

Monitoring gaps often cluster at boundaries: informal workings, closed facilities, deep groundwater, downstream sediment and communities outside the permit footprint. Prioritize gaps by their effect on decisions and reversibility, not simply by the ease of collecting data. A missing foundation investigation can matter more than another regional land-cover layer. For each gap, state the possible mistaken decision, the observation needed and the time required to obtain it. Keep an interim protective approach visible where decisive evidence cannot arrive before a consequential action [M05; M12; M16; M20].

Prioritize a gap by its consequence for the decision. The next observation may be a targeted measurement, an independent comparison, a capability test or a correction of incompatible definitions. More data of the same kind may not resolve structural uncertainty. Specify the question, required observation, responsible custodian, time of collection and condition under which the gap is considered sufficiently addressed.

Case-analysis method
Monitoring gapDecision consequenceInvestigation
Spatial coverageExposed locations, groups or assets are not represented.Targeted observations matched to exposure.
Temporal resolutionA change occurs faster than the collection interval.A sampling interval fitted to the process and useful decision time.
Missing periodA critical part of the trajectory is absent.Independent backup and transparent missing-data handling.
Changing methodA sensor, reference or reporting practice changes.Overlap, comparison and version metadata.
Unmeasured mechanismImportant inputs or consequences are not observed.A mechanism-specific investigation and appropriate measurement.
Unverified resourcesA listed capacity has not been mobilized.Inspection and a representative deployment test.
Incompatible definitionsDatasets describe different populations, units or conditions.A documented harmonization and retained original values.
Access restrictionEvidence cannot be inspected or reused under current conditions.An authorized access and review arrangement.
Unequal representationSome users or effects disappear in aggregates.Disaggregated observation and a suitable participatory protocol.
Post-event follow-upReturn of service masks persistent effects.A monitoring period appropriate to the mechanism and affected function.

Section readings [M05; M12; M16; M20; C03]

SECTION 33

Dependency matrix and propagation tests

A dependency matrix should distinguish direction and operating state. Mining may supply a critical metal to energy systems while depending on electricity for dewatering; these are different edges with different timescales. Add capacity, substitute availability and response lag rather than marking every sector as connected. Then test the matrix during operation, shutdown and post-closure. Some supply dependencies weaken after shutdown, but treatment and stewardship dependencies persist. This temporal view helps participants identify a small number of controls whose failure can create disproportionate downstream consequences [M08; M09; M10; M19].

Groundwater abstraction and dewatering alter hydraulic gradients. Water losses, wetlands and springs can respond outside the operational footprint and with substantial delay. For salar systems, brine and freshwater interactions require site-specific hydrogeological models rather than treating all extracted fluid as equivalent freshwater consumption [M11].

Vegetation clearing, access roads and settlement can propagate habitat loss beyond the lease. Direct excavation and induced land-use change must be mapped separately so that attribution remains defensible and restoration responsibilities are not confused [M07; M14].

Processing intensity changes as ore characteristics change. Declining grades or harder material can increase waste and energy requirements per unit product, but process configuration and recovery also matter. Mass and energy balances provide a stronger diagnostic than production tonnage alone [M10].

A dependency matrix should be directional and time-specific. Record the supplying function, receiving function, mechanism, useful delay, substitute and evidence. Test the destination when the origin becomes unavailable for different periods. Then remove a common prerequisite of the substitute. The resulting structure describes the case; it does not establish all connections in a global architecture or validate an edge weight.

Dependency matrix for case testing
DependencyMechanism and directionVerification or TFP inquiry
WATDewatering, contamination and treatment link mining to drinking-water and ecosystem flowsSource-load and groundwater-gradient evidence
ENEElectricity and fuel sustain ventilation, pumping and treatmentBackup capacity at actual critical loads
INFDams, roads and bridges carry wastes and response accessShared storm and ground-instability scenarios
CHEReagent manufacture, transport and storage enable processing and remediationChemical inventory and safe alternatives
FORRoad access and clearing propagate habitat and carbon impactsLand-change attribution beyond leases
AGRWater, soil and sediment effects alter irrigation and food pathwaysReceptor-specific exposure and soil sampling
HEAOccupational and community exposures require distinct surveillanceExposure pathways, not ecological concentrations alone
LOGConcentrate transport and reagent delivery create corridor dependenciesAlternative routes and seasonal access
FINCommodity cycles and secured closure resources affect long-term controlsDocumented available capacity and liabilities
GOVPermits, rights and independent review shape response authorityJurisdiction and responsibility map

For each relationship, add the measured delay, duration of tolerable interruption, substitute and observation supporting the directed edge. Repeat the test for short, intermediate and extended unavailability. A generic list of linked sectors is not an estimated network, and no edge weight is validated by inclusion in this table.

Section readings [M08; M09; M10; M19; C01; C02]

SECTION 34

Documented cases, near misses and recovery

Historical cases are comparative tests of mechanisms, not a catalogue of sensational outcomes. Mount Polley supports examination of foundation assumptions; Fundão and Gold King illuminate downstream transport and response; Butte makes post-closure water management visible. Compare the evidence available before the event with knowledge produced afterward. Record which lesson transfers and which depends on geology, institutions or receptors. Repeated observations from one incident are not independent events, and several apparently similar tailings failures should not be assigned a common probability without an explicit population and denominator [M16; M17; M18; M19].

Historical analysis distinguishes observed loss, protective response, near miss and recovery. Several records can concern one event without becoming independent events. Preserve what the source actually investigated and avoid adding unsupported casualty, cost or restoration-time estimates. Compare cases by mechanism and evidence quality; the fact that one response was associated with an outcome does not alone establish a general causal effect.

Documented cases and comparative learning
Case / periodDocumented mechanism or study objectLearning and transfer questionSource
Mount Polley, Canada / 2014Tailings facility breach investigated through foundation and engineering evidenceAsk which geological assumptions were tested and who could challenge them[M16]
Fundão, Brazil / 2015Tailings release propagated along river systems with physical and ecological effectsFollow sediment, water supply and restoration times across the whole watershed[M17]
Gold King Mine, United States / 2015Investigation triggered an unexpected release of contaminated mine waterIntervention itself needs a hydraulic failure scenario and downstream notification plan[M18]
Butte / Berkeley Pit, United States / post-mining legacyFlooded workings and contaminated groundwater require long-term controlModel post-closure water rebound and stewardship rather than assuming production cessation ends risk[M19]
Brazilian Amazon mining regions / 2005–2015 study periodMining-associated forest loss extended beyond lease boundariesDistinguish direct footprint from infrastructure-induced change using spatial comparisons[M07]
Artisanal gold processing / process comparisonMercury use creates release and exposure pathways through processing and tailingsEvaluate alternatives against local ore, training and exposure conditions, not equipment provision alone[M20]
Lithium brine systems / comparative technology studyExtraction connects brine processing to water balance and waste streamsSeparate saline and freshwater compartments and disclose hydrogeological uncertainty[M11]

Section readings [M16; M17; M18; M19]

SECTION 35

Integrated review, transfer and learning portfolio

Cross-domain evidence is necessary because restoration goals are expressed in human and ecological functions, not mine-performance metrics alone. Water data describe exposure pathways, health evidence interprets doses, forest observations reveal land change, and logistics records explain response constraints. Build a shared chronology and spatial reference so these observations can be compared without erasing their different uncertainties. The final case synthesis should identify an actionable dependency, a non-substitutable loss to prevent and an evidence gap that changes the decision. Scientific integration is strongest when those limits remain explicit [M07; M08; M09; M14; M18].

The integrated portfolio should allow a reviewer to move from the question to observations, transformations, mechanism tests, scenarios and proposed monitoring. Make the strongest competing explanation and the most consequential unresolved gap visible. Transfer requires checking mechanisms, exposure and recovery resources in the new setting. Formation, optional credentialing, submission permission and licensing remain distinct processes; no case or data contribution enters the SIL without an associated fellow and applicable review.

Case-analysis method
Review stepEvidence requirement
SpecifyState the function, claim, exposed group, location and period.
TraceIdentify original observations, shared origins and transformations.
HarmonizeCompare units, reference systems, sampling and versions.
ChallengeTest alternative explanations and seek counter-evidence.
Evaluate uncertaintyIdentify which assumptions change the conclusion or recommended action.
Test transferCheck equivalence of mechanisms, exposure and recovery resources in another setting.
Record and updatePreserve reasons, limits, responsibility and the next review condition.

Section readings [M07; M08; M09; M14; M18; C04; C05]

RESEARCH AND READING PATHS

Annotated scientific and technical bibliography

The section citations connect domain mechanisms, methods and cases to the underlying sources. Read each reference for its question, design, findings and limits. Technical guides, case investigations and scholarly articles do not provide interchangeable forms of evidence.

  1. M01 · peer-reviewed

    Kossoff, D. et al. (2014). Mine tailings dams: Characteristics, failure, environmental impacts, and remediation. Applied Geochemistry 51, 229–245.

    Original publication / source ↗

    Connects tailings composition, release pathways and remediation; useful for distinguishing structural failure from contaminant mobility.

  2. M02 · peer-reviewed

    Hudson-Edwards, K. A.; Jamieson, H. E.; Lottermoser, B. G. (2011). Mine Wastes: Past, Present, Future. Elements 7(6), 375–380.

    Original publication / source ↗

    Frames mine waste as a persistent geological and societal legacy rather than an operational by-product only.

  3. M03 · peer-reviewed

    Johnson, D. B.; Hallberg, K. B. (2005). Acid mine drainage remediation options: a review. Science of the Total Environment 338, 3–14.

    Original publication / source ↗

    Compares active and passive treatment and the conditions limiting their reliability.

  4. M04 · peer-reviewed

    Akcil, A.; Koldas, S. (2006). Acid Mine Drainage (AMD): causes, treatment and case studies. Journal of Cleaner Production 14, 1139–1145.

    Original publication / source ↗

    Explains why mineralogy, water and oxygen determine site-specific drainage potential.

  5. M05 · peer-reviewed

    Franks, D. M. et al. (2021). Tailings facility disclosures reveal stability risks. Scientific Reports 11, 5353.

    Original publication / source ↗

    Uses disclosed facility data; teaches both comparative analysis and the limits of self-reported inventories.

  6. M06 · peer-reviewed

    Sonter, L. J.; Dade, M. C.; Watson, J. E. M.; Valenta, R. K. (2020). Renewable energy production will exacerbate mining threats to biodiversity. Nature Communications 11, 4174.

    Original publication / source ↗

    Spatial screening of potential overlap; mapped influence zones are not measured impact at every location.

  7. M07 · peer-reviewed

    Sonter, L. J. et al. (2017). Mining drives extensive deforestation in the Brazilian Amazon. Nature Communications 8, 1013.

    Original publication / source ↗

    Shows why roads, settlement and processing links extend analysis beyond lease boundaries.

  8. M08 · peer-reviewed

    Lèbre, É. et al. (2020). The social and environmental complexities of extracting energy transition metals. Nature Communications 11, 4823.

    Original publication / source ↗

    Examines co-occurring environmental, social and governance pressures across deposits.

  9. M09 · peer-reviewed

    Sovacool, B. K. et al. (2020). Sustainable minerals and metals for a low-carbon future. Science 367, 30–33.

    Original publication / source ↗

    Connects transition demand to justice, extraction governance and material efficiency.

  10. M10 · peer-reviewed

    Norgate, T.; Haque, N. (2010). Energy and greenhouse gas impacts of mining and mineral processing operations. Journal of Cleaner Production 18, 266–274.

    Original publication / source ↗

    Life-cycle framing helps identify process energy burdens and functional-unit effects.

  11. M11 · peer-reviewed

    Flexer, V.; Baspineiro, C. F.; Galli, C. I. (2018). Lithium recovery from brines: A vital raw material for green energies with a potential environmental impact in its mining and processing. Science of the Total Environment 639, 1188–1204.

    Original publication / source ↗

    Links brine extraction technologies to hydrological and environmental assessment requirements.

  12. M12 · peer-reviewed

    Maus, V. et al. (2020). A global-scale data set of mining areas. Scientific Data 7, 289.

    Original publication / source ↗

    Provides mapped footprints; absence from an inventory is not evidence of absent mining.

  13. M13 · peer-reviewed

    Maus, V. et al. (2022). An update on global mining land use. Scientific Data 9, 433.

    Original publication / source ↗

    Updated spatial inventory supporting reproducible exposure overlays and change assessment.

  14. M14 · peer-reviewed

    Bebbington, A. J. et al. (2018). Resource extraction and infrastructure threaten forest cover and community rights. PNAS 115, 13164–13173.

    Original publication / source ↗

    Examines infrastructure expansion and forest-community rights as linked governance processes.

  15. M15 · technical standard

    UNEP; PRI; ICMM (2020). Global Industry Standard on Tailings Management. Global Tailings Review.

    Original publication / source ↗

    Technical and governance reference; its requirements must be interpreted with applicable jurisdiction and facility context.

  16. M16 · case report

    Independent Expert Engineering Investigation and Review Panel (2015). Mount Polley Tailings Storage Facility Breach: Independent Expert Engineering Investigation and Review. Independent panel report.

    Original publication / source ↗

    Primary forensic record for foundation characterization, design assumptions and independent review.

  17. M17 · case report

    IBAMA (2015). Laudo técnico preliminar: impactos ambientais decorrentes do desastre de Fundão. Federal environmental assessment.

    Original publication / source ↗

    Primary environmental assessment documenting downstream damage; distinguish preliminary findings from later attribution.

  18. M18 · case report

    US EPA (2015). Summary Report: EPA Internal Review of the August 5, 2015 Gold King Mine Blowout. EPA internal review, 24 August 2015.

    Original publication / source ↗

    Primary internal investigation of the intervention and release sequence; use its documented findings rather than infer every later transport or health consequence.

  19. M19 · case documentation

    US EPA (2024). Butte Mine Flooding and current site status. Superfund site documentation.

    Original publication / source ↗

    Primary documentation of mine flooding, contaminated groundwater and long-term treatment obligations.

  20. M20 · technical guidance

    UNEP (2012). Reducing Mercury Use in Artisanal and Small-Scale Gold Mining: A Practical Guide. Global Mercury Partnership.

    Original publication / source ↗

    Practical exposure-reduction guidance with process-specific constraints.

  21. M21 · technical guidance

    UNEP / Minamata Convention Secretariat (2022). Guidance on developing a national action plan to reduce and, where feasible, eliminate mercury use in artisanal and small-scale gold mining. Minamata Convention guidance.

    Original publication / source ↗

    Connects inventories, health strategy and formalization; guidance does not itself authorize mining.

  22. M22 · peer-reviewed

    Kemp, D.; Owen, J. R.; Lèbre, É. (2021). Tailings facility failures in the global mining industry: Will a ‘transparency turn’ drive change?. Business Strategy and the Environment.

    Original publication / source ↗

    Explores why disclosure must be linked to accountability and organizational change.

  23. C01 · peer-reviewed

    Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine, 21(6), 11–25.

    Original publication / source ↗

    Distinguishes physical, cyber, geographic and logical dependencies; use the categories to formulate a case-specific dependency hypothesis.

  24. C02 · peer-reviewed

    Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis, 38, 2245–2257.

    Original publication / source ↗

    Provides distinctions for examining interacting risks and propagation; a plausible pathway still needs evidence in the case.

  25. C03 · peer-reviewed

    Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.

    Original publication / source ↗

    Methodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.

  26. C04 · peer-reviewed

    Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.

    Original publication / source ↗

    Guides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.

  27. C05 · standard

    W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.

    Original publication / source ↗

    Represents provenance through entities, activities and agents; useful for connecting a result to its transformations and responsible contributors.

  28. C06 · technical guide

    JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.

    Original publication / source ↗

    A methodological basis for propagating input distributions through a specified model, rather than treating simulated frequency as an observed event probability.

  29. C07 · peer-reviewed

    Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.

    Original publication / source ↗

    Supports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.

External sources are cited for research and learning. Their inclusion implies no partnership, certification or institutional endorsement.