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Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Risk forecasting and evaluating model of environmental pollution accident
Wei-hu Zeng1, Sheng-tong Cheng
1School of Environment, State Key Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing 100875, China. zengwh@bnu.edu.cn
Journal of Environmental Sciences (China)
|November 22, 2005
Summary
Environmental risk factors can lead to environmental pollution accidents (EPA) when control mechanisms fail. This study presents a model for forecasting and evaluating EPA, aiding in prevention and emergency response.
Area of Science:
- Environmental Science
- Risk Management
- Environmental Engineering
Background:
- Environmental risk (ER) factors originate from sources and are managed by primary control mechanisms (PCM).
- PCM failure, due to internal issues or external triggers, allows ER factors to form an environmental risk field.
- An environmental pollution accident (EPA) occurs only when ER receptors are exposed to and damaged by this ER field.
Purpose of the Study:
- To research the general laws governing the evolution from environmental risk to EPA.
- To introduce a conceptual model for the forecasting and evaluation of EPA.
- To provide scientific methods for EPA risk evaluation, prevention, and emergency response.
Main Methods:
- Conceptual modeling of environmental risk evolution.
- Risk analysis framework for EPA forecasting and evaluation.
- Development of scientific methods for risk management and emergency preparedness.
Main Results:
- A conceptual model illustrating the transition from environmental risk to EPA.
- Identification of key stages and factors in EPA development.
- Established scientific methods for risk assessment and mitigation.
Conclusions:
- The developed model enhances the understanding of EPA formation.
- The model offers practical guidance for public safety and enterprise risk management.
- It contributes to the theory of environmental safety and emergency response systems.
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