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Risk analysis for environmental health triage
1Lawrence Livermore National Laboratory, University of California, Livermore, CA 94550, USA. bogen@LLNL.gov
Risk Analysis : an Official Publication of the Society for Risk Analysis
|November 22, 2005
Summary
Emergency response planning requires accurate casualty prediction, not just risk zones. Current methods using Acute Exposure Guideline Levels (AEGLs) are misleading for triage decisions in toxic exposure events.
Area of Science:
- Environmental Health
- Risk Assessment
- Emergency Preparedness
Background:
- The Homeland Security Act mandates a national, risk-based system for managing emergencies involving toxic exposures.
- Current emergency response systems define consequences by mapping areas exceeding Acute Exposure Guideline Levels (AEGLs).
- AEGLs are protective but do not estimate expected risks, potentially misguiding consequence management.
Purpose of the Study:
- To highlight the limitations of AEGLs in predicting casualties for emergency response triage.
- To advocate for a new assessment approach focusing on estimated casualties for effective chemical risk management.
- To emphasize the need for federal agency coordination in developing new triage methods.
Main Methods:
- Analysis of current emergency response consequence management strategies.
- Evaluation of the utility of AEGLs in predicting casualties under resource constraints.
- Identification of the need for novel assessment approaches for environmental health triage.
Main Results:
- AEGL-exceedance zones are insufficient for aggregating, comparing, or calculating expected casualties.
- Current methods based on AEGLs can mislead critical triage decisions in toxic exposure scenarios.
- Existing environmental health tools are inadequate for chemical risk triage.
Conclusions:
- Effective chemical risk triage necessitates a shift from individual risk bounds to best estimates of likely casualties.
- New methods are required to support environmental health triage in emergency response.
- Federal agencies must collaborate to develop and implement these new risk-based consequence management approaches.