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GCRI · Advanced Industry and Robotics

Circular economy and pollution

Industry extracts materials, transforms them and releases waste and pollution. A circular economy aims to keep materials in use through design, reuse, repair and recycling, while pollution control limits harmful emissions to air, water and soil. This page sets out how materials flow through industry, how circularity and pollution are measured, and what evidence serves the regulators, firms and communities involved.

01Register

Circular economy and pollution on the record.

02The question

Circular economy and pollution: how the risk develops.

Industrial circularity, pollution management and cross-system effects. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Most materials are used once

Large shares of extracted materials end as waste or emissions after a single use. Design for durability and recycling changes this only gradually.

Mechanism

Recycling depends on quality and markets

Recycled materials compete with virgin ones on price and quality. Mixed and contaminated waste is hard to recycle well.

Mechanism

Permits set emission limits

Industrial permits based on best available techniques limit pollutants. Enforcement and monitoring determine their effect.

Mechanism

Pollution burdens are local

Communities living near industrial sites bear most of the exposure to pollution, and they are often low-income communities.

03Geography

Infrastructure exposure in Germany.

Night lights, population density and haze over Germany, from NASA GIBS. Each layer carries its own date.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Infrastructure exposure, for this page

About this layer
Evidence
Observed
Source
VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
Provider
NASA LAADS DAAC
Licence
NASA open data
Vintage
daily; Satellite radiance, corrected for moonlight and atmosphere
Newest at build
2026-10-12
Resolution
about 500 m grid
Uncertainty
Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
Provider
NASA SEDAC (CIESIN, Columbia University)
Licence
CC BY 4.0
Vintage
null; Census-based estimate, static (2020)
Resolution
about 1 km grid
Uncertainty
Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS NOAA-20 Deep Blue AOD (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 2 km grid
Uncertainty
Satellite measure of haze, smoke and dust through the whole air column on the day shown; an exposure indicator, not ground-level PM2.5, an air quality index or a health warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed
Source
VIIRS NOAA-20 corrected reflectance (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite image
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Infrastructure exposure, framed on Germany.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · U.S. Geological Survey · NASA JPL OPERA DIST-ALERTSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
  • MODIS and VIIRS atmosphere products, NASA LANCE and LAADS DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • Live: NASA EONET Events are indicative, not authority warnings.
  • Live: U.S. Geological Survey Events are indicative, not authority warnings.
  • Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (12 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Aerosol optical depth, daily: VIIRS NOAA-20 Deep Blue AOD, NASA LANCE · 13 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

04Across the domains

Circular practices reduce pressure on every domain.

05Monitor

Energy and circularity board.

The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.

Energy and circularity board

Circular economy and pollution · Industrial park A · Year 2

On planGCRI · Advanced Industry and Robotics

Material flows

  • Recycled
  • Recovered
  • Landfill

Targets

Waste recycled, %65 of 70 requiredWater reused, %31 of 50 requiredEnergy from renewables, %26 of 60 required
Energy and circularity board: the screen’s structure, terms and states for Circular economy and pollution.Example names and illustrative values; a design, not a record or a live system.
06Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Circular material use ratepercent of material use from recycled sourcesannualMaterial flow accountsESTIMATED
Industrial waste generatedtonnes by sectorannualWaste statisticsPublished statistics
Recycling rate of industrial wastepercentannualWaste statisticsPublished statistics
Pollutant releases from industrial facilitiestonnes by pollutantannualPollutant release and transfer registersPublished statistics
Permit compliance ratepercent of inspected installationsannualRegulator recordsPublished statistics
Domestic material consumptiontonnes per capitaannualMaterial flow accountsESTIMATED
07Twin and cascade simulator

Model circular economy and pollution as a system. Run the cascade.

Assembled from the Nexus Standards area profile Industry and manufacturing: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.

Hazards

  • Natech event
  • Dam failure
  • River flood (set off downstream)
  • Flash flood (set off downstream)
  • Mass displacement (set off downstream)
  • Chemical spill or leak (set off downstream)
  • Emergency-response overload (set off downstream)
  • Widespread power outage (set off downstream)
  • Water supply shortfall (set off downstream)
  • Toxic gas release (set off downstream)
  • Industrial fire (set off downstream)

Controls

  • NS-0 Constitution and principles
  • NS-9 Contextual UNIs (deployments, instances, programme instances)
  • NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)
  • NS-12 Software, model and AI/ML artefacts (supply chain, model cards, dataset sheets)
  • NRS-H60 Hazard family: Supply-chain and flow disruption (NHS-1 sys.supply-chain)
  • NRS-H50 Hazard family: Industrial and process accidents (NHS-1 infra.industrial)
  • NRS-H109 Hazard family: Energy-transition technology failures (NHS-1 tech.energy-transition)
  • NRS-X10 Chemical, industrial, nuclear and radiological safety
  • NRS-H54 Hazard family: Signal and platform disruption (NHS-1 cyber.platform)
  • NRS-K14 Domain pack profile: Manufacturing industrial (DOMAIN-014)

Observation

  • eMARS Major Accident Reporting System (listed for reference)
  • World Development Indicators (listed for reference)
  • ILOSTAT (listed for reference)
  • Manufacturing value added as a proportion of GDP and per capita
  • CO2 emission per unit of value added
  • Manufacturing, value added (% of GDP)
  • Direct economic loss to all other damaged or destroyed productive assets attributed to disasters

Example geography

  • The Strait of Malacca: 227 hexagonal cells
  • Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
  • Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
  • Rain rate, last half hour (IMERG), NASA GIBS
  • Surface soil moisture (SMAP), NASA GIBS
08Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
Pollutant release and transfer registers, such as E-PRTR and US TRIFacility-level releases of pollutantsPublic, terms per register
Eurostat circular economy indicatorsCircular material use rate and waste statisticsOpen, Eurostat reuse policy
UNEP International Resource Panel global material flows databaseMaterial extraction and consumptionPublic, UNEP terms
EU Best Available Techniques reference documentsTechniques and emission levels for industriesPublic, EU terms
OECD materials and waste statisticsMaterial productivity and wastePublic, OECD terms
09Methods and evidence

How circular economy and pollution is modelled, measured and tested.

The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.

System model

The couplings between the systems in circular economy and pollution: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−++IndustryWorkTradeCommunitiesEconomyR reinforcingB balancing
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
FAIR guiding principles · GO FAIR and FORCE11W3C PROV · World Wide Web ConsortiumGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
10Decisions

Who decides, and what the evidence serves.

Advanced Industry and Robotics prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Environmental regulatorsWhich permits and inspections to prioritiseRelease trends; compliance evidence
Industrial firmsWhich circular measures and pollution controls to adoptOption assessments
Communities and local governmentsHow to address pollution burdensExposure evidence

Outputs this topic produces

  • Material flow analyses for industrial sectors
  • Pollution release trend analyses from registers
  • Circularity option assessments
  • Evidence notes on community exposure
11Core questions

What experts ask.

  1. 01

    Where do materials leak?

    Which stages of production and use generate the most waste and pollution.

  2. 02

    What circular strategies work?

    Evidence on design for disassembly, remanufacturing, recycling and industrial symbiosis.

  3. 03

    What are the trade-offs?

    Energy use, contamination and hazardous substances in recycled materials.

  4. 04

    Who bears pollution?

    How emissions and waste burdens fall on communities near industrial sites.

12Mechanisms

What drives the risk.

Industrial pollution affects air, water and soil. Some pollutants act locally and quickly, others persist and accumulate, such as certain metals and persistent organic chemicals. Health burdens often fall on communities with less influence over siting decisions.

Circularity reduces demand for virgin materials and waste, but not automatically. Recycling consumes energy, may concentrate hazardous substances and can degrade material quality. Strategies higher in the hierarchy, such as longer product life and reuse, usually save more.

Supply-chain resilience and circularity can reinforce each other. Recovered materials provide an alternative source when primary supply is disrupted.

Waste trade moves pollution across borders. Exported waste may be processed with weaker controls, shifting burdens rather than reducing them.

Pollution and accidents connect. Poorly managed waste stores, tailings and legacy contamination can become sources of acute release when floods or fires reach them.

13Methods and limits

How evidence is gathered, and where it stops.

Method or dataWhat it showsIts limit
Material flow analysisWhere materials go and leakData gaps in informal sectors
Emissions monitoringPollutant releasesCoverage and reporting vary
Life-cycle assessmentNet environmental effects of strategiesBoundary and data choices
Exposure studiesHealth effects on nearby communitiesAttribution and confounding
15Where this page’s references

Where this page’s references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

16Questions

Questions and answers.

What is a circular economy?
An economic system that keeps materials and products in use for as long as possible through design, reuse, repair, remanufacturing and recycling.
What is a pollutant release and transfer register?
A public database of releases of specified pollutants to air, water and land, and transfers of waste, reported by facilities.
What are best available techniques?
The most effective techniques for preventing or reducing emissions that are technically and economically viable for an industry, used to set permit conditions in the EU.
Is recycling always better for the environment?
Usually, but not always. It depends on energy use, contamination and what it replaces. Longer product life and reuse typically save more.
Does the platform monitor pollution at specific sites?
No. Monitoring and enforcement belong to environmental regulators. The platform publishes research.
How does circularity relate to supply resilience?
Recovered materials can provide an alternative to disrupted primary supply, reducing dependence on concentrated sources.
ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

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