Critical materials • Global base layer

The world's metal mines, by water risk

The reported world · Finland deep-dive · one mine's water

Three layers. Every satellite-mapped mining footprint on earth (Maus 2022) is the faint completeness backdrop, so China and the other heavily-mined countries read true. On top, the named producers we have commodity and production for (FINEPRINT) are coloured by the water risk their ore type implies. The country shading is whether that risk can be independently checked from open data, the half of the method that exists in only a handful of jurisdictions. A high-risk mine in a country no one can audit is the gap this whole project is built around. The dot colour is the ore class's predicted load, not a site measurement; the Finnish pages are where that inference is tested against real water.

How to read this page: ● measured sourced data · ◐ inferred analyst reading, basis linked · ○ projected anchored to a real starting point. Bracketed citations link to the sources at the foot of the page.

Dots, water risk

Loading mine data…

Country shadingFull reported-vs-realIndependent ambient onlyPartialBlind spot

Three layers. The faint grey mining areas are every satellite-mapped mining footprint on earth (~44,900 of them, Maus 2022), the completeness backdrop. The larger coloured dotsare the named producers we have commodity and production for (FINEPRINT), coloured by the water risk their ore type implies. The country shading is whether that risk can be independently checked from open data. A high-risk dot on a red country is the case for going to look: real hazard, no public way to verify it. Coal is excluded; see the coal-mines map. ○ projected water-risk colour is ore-class behaviour, not a site measurement.

The colour, explained

From commodity to water signature

A mine's water risk is largely set before it is built, by the chemistry of its ore. Sulphide ores can generate acid and hold metals in solution; oxide ores are mostly inert. The source gives a coarse commodity class, so each mine inherits the dominant archetype for its commodity, the same model the Finnish page grounds in real monitoring. A given mine can sit either side of its class once an actual ore and discharge are read.

Commodity
Ore archetype
Nickel
Mafic / sulphide nickel
Ni, Co, Cu mobile unless buffered to neutral
● Acid-drainage prone
Copper
Sulphide copper (porphyry / VMS)
Cu, Zn, Cd, Fe dissolved at low pH
● Acid-drainage prone
Zinc
Massive sulphide (Zn-Pb-Cu)
Zn, Cd, Cu mobile; the classic acid-mine-drainage host
● Acid-drainage prone
Other (poly)-metallic
Polymetallic sulphide
Mixed sulphide; acid drainage and multi-metal load likely
● Acid-drainage prone
Gold
Orogenic / epithermal gold
Arsenic, antimony mobile; cyanide on site
● Conditional
Silver
Silver, base-metal-hosted
Sulphide base metals; arsenic and lead the watch items
● Conditional
Aluminium
Bauxite (laterite oxide)
Low acid drainage; caustic red-mud tailings the hazard
● Conditional
Iron
Iron oxide
Largely inert; sediment the main issue
● Largely inert
Other mine
Unclassified
Needs a site read
● Unclassified

◐ The archetype mapping is deposit-model science[4]; the read of any single mine is an inference from its commodity class until its ore and discharge are measured, as on the Terrafame worked example.

What this layer is, and is not

This is the reported baseline: a frozen, manually verified snapshot of where the world's metal mines are and what they produce, current to 2021. It is deliberately one half of the method. The other half, whether a mine's actual discharge matches what its ore predicts, exists as open data in only a handful of rich jurisdictions. The verification gap is the product, and it is widest exactly where the measured half is thin. From here the next country deep-dives extend the Finnish method, the United States first, where reported, self-reported and independently measured discharge can be set side by side.

The long-form argument runs through the Finnish opportunity-and-risk page and the brief it anchors, Finland's mining advantage is trust you can audit.

Sources and method (22)
  1. [1] Jasansky, S., Lieber, M., Giljum, S., Maus, V. (2023). An open database on global coal and metal mine production. Scientific Data 10, 52.
  2. [2] FINEPRINT open database on global coal and metal mine production, v2 (dataset). Zenodo, CC BY 4.0, DOI 10.5281/zenodo.7369478.
  3. [3] Global Energy Monitor, Global Coal Mine Tracker (CC BY 4.0).
  4. [4] USGS, Mineral Deposit Models and the geochemistry of acid mine drainage (Nordstrom, 2011; USGS critical-mineral deposit science).
  5. [5] A1AYN, Finnish mining opportunity and risk, and the Terrafame mine-water worked example.
  6. [6] US EPA Enforcement and Compliance History Online (ECHO) and Discharge Monitoring Reports (DMR), the self-reported NPDES effluent layer.
  7. [7] US Water Quality Portal (USGS NWIS + EPA WQX), public-domain independent ambient water chemistry.
  8. [8] Environment and Climate Change Canada, Metal and Diamond Mining Effluent Regulations (MDMER) and Environmental Effects Monitoring.
  9. [9] European Environment Agency, Waterbase, plus national APIs (Sweden SLU MVM, Norway Vannmiljo) for open ambient chemistry.
  10. [10] Chile Registro de Emisiones y Transferencias de Contaminantes (RETC) and DGA water data; comparable national open-data audits (Brazil, Peru OEFA, Australia state EPAs, South Africa).
  11. [11] Ireland EPA open data: Water Framework Directive water quality (CC BY 4.0, API) and the LEAP licensed-facility / enforcement portal.
  12. [12] Poland GIOS (Chief Inspectorate for Environmental Protection) water monitoring portal; facility releases via the EU E-PRTR.
  13. [13] Spain MITECO Censo Nacional de Vertidos (national discharge census) and the river-basin authorities' (Confederaciones Hidrograficas) water-quality networks.
  14. [14] Portugal SNIRH (Sistema Nacional de Informacao de Recursos Hidricos), APA: public water-quality database; discharge licensing via APA.
  15. [15] New Zealand Land, Air, Water Aotearoa (LAWA): regional-council water-quality monitoring and consent compliance, much under CC BY 4.0.
  16. [16] India Central Pollution Control Board: National Water Quality Monitoring Programme and the Online Continuous Effluent Monitoring System (OCEMS).
  17. [17] Mexico CONAGUA water-quality monitoring (RNMCA) and SEMARNAT Registro de Emisiones y Transferencia de Contaminantes (RETC).
  18. [18] Kazakhstan PRTR (acceded to the UNECE Protocol on Pollutant Release and Transfer Registers, 2020) and the national water-monitoring network.
  19. [19] A1AYN open mine-water monitoring audit (2026), drawing on national environmental-agency portals (Roshydromet, SInIA, WRC, ZEMA, EMA, CEPA, NEMC, CIAPOL, NCEC, DIMENC and others) and the UNEP/GRID Interactive Country Fiches.
  20. [20] Sweden: SLU MVM open ambient water chemistry, and Naturvardsverket 'Utslapp i siffror' (the Swedish PRTR via SMP), facility-level emissions to water for ~1,300 facilities.
  21. [21] Norway: Miljodirektoratet 'Norske utslipp', facility discharges to water with linked permits and inspection reports, and the Vannmiljo ambient water database.
  22. [22] Maus, V. et al. (2022). Global-scale mining polygons (Version 2). PANGAEA, CC BY 4.0, DOI 10.1594/PANGAEA.942325. 44,929 satellite-mapped mining areas worldwide, the completeness backdrop.

Completeness backdrop (44,929 satellite-mapped mining areas) from Maus et al. 2022 (CC BY 4.0, PANGAEA), centroid per polygon, no commodity. Named-producer dots and production from the FINEPRINT open database (Jasansky et al. 2023, CC BY 4.0), non-coal facilities with verified coordinates, a curated major-producer set frozen at 2021, not a complete inventory. The ore-archetype and water-signature tagging is an inferred proxy from the source commodity class, grounded in USGS deposit-model geochemistry and tested against measured monitoring on the Finnish pages. The country verifiability tiers are A1AYN's open mine-water monitoring audit (2026): the full and ambient claims are cross-checked against the cited national portals (direct portal fetches are often blocked by government anti-bot, so confirmation is via the portals' own documentation); partial and blind calls, and the smaller producers, carry lower confidence. The choropleth also covers major mining jurisdictions FINEPRINT omits. Country outlines from Natural Earth. URLs to be re-checked before publication.

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