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Toxic Release Inventory Analysis/Evidence
Method evidence record

Toxic Release Inventory Analysis

Toxic Release Inventory (TRI) analysis uses mandatory facility-level reports of industrial chemical releases to measure how the burden of toxic pollution is distributed across social groups. Rather than counting raw pounds of emissions, which treat a ton of an innocuous solvent the same as a ton of a potent carcinogen, the modern approach weights releases by toxicity and models how they disperse to populations. Michael Ash and T. Robert Fetter's 2004 study showed how the EPA's Risk-Screening Environmental Indicators (RSEI) model, built on TRI, can be used to assign toxicity- and exposure-weighted pollution to neighborhoods and to test for disparities. They found consistent income and racial gradients: lower-income people and African Americans are exposed to more industrial air pollution, both across and within cities. The analysis combines the spatial-disparity logic of environmental justice with a chemical-specific account of harm. The result is a far more defensible burden measure than emission counts alone.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Toxic Release Inventory Analysis (Toxicity-Weighted Disproportionate Burden Assessment)
Taxonomic method record · process-pipeline / environmental-sociology
  • Ash, M., & Fetter, T. R. (2004). Who Lives on the Wrong Side of the Environmental Tracks? Evidence from the EPA's Risk-Screening Environmental Indicators Model. Social Science Quarterly, 85(2), 441-462. · DOI 10.1111/j.0038-4941.2004.08502011.x
  • Mohai, P., & Saha, R. (2006). Reassessing Racial and Socioeconomic Disparities in Environmental Justice Research. Demography, 43(2), 383-399. · DOI 10.1353/dem.2006.0017
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Used in the same domainEJ Screening Index (EJScreen-Style)machine-suggested · Relational suggestion, not evidence.Same method familyEnvironmental Commodity Chain Analysismachine-suggested · Relational suggestion, not evidence.Same method familyEnvironmental Justice Spatial Analysismachine-suggested · Relational suggestion, not evidence.Same method familyLand-Change Driver Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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