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首页> 外文期刊>International Journal of Environmental Research and Public Health >Community, State, and Federal Approaches to Cumulative Risk Assessment: Challenges and Opportunities for Integration
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Community, State, and Federal Approaches to Cumulative Risk Assessment: Challenges and Opportunities for Integration

机译：社区，州和联邦累积风险评估方法：整合的挑战和机遇

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摘要

Community, state, and federal approaches to conventional and cumulative risk assessment (CRA) were described and compared to assess similarities and differences, and develop recommendations for a consistent CRA approach, acceptable across each level as a rigorous scientific methodology, including partnership formation and solution development as necessary practices. Community, state, and federal examples were described and then summarized based on their adherence to CRA principles of: (1) planning, scoping, and problem formulation; (2) risk analysis and ranking, and (3) risk characterization, interpretation, and management. While each application shared the common goal of protecting human health and the environment, they adopted different approaches to achieve this. For a specific project-level analysis of a particular place or instance, this may be acceptable, but to ensure long-term applicability and transferability to other projects, recommendations for developing a consistent approach to CRA are provided. This approach would draw from best practices, risk assessment and decision analysis sciences, and historical lessons learned to provide results in an understandable and accepted manner by all entities. This approach is intended to provide a common ground around which to develop CRA methods and approaches that can be followed at all levels.
机译：描述并比较了社区，州和联邦对常规和累积风险评估（CRA）的方法，以评估相似性和差异，并提出了关于一致的CRA方法的建议，该方法在每个级别上都可以作为严格的科学方法接受，包括建立伙伴关系和解决方案发展是必要的做法。描述了社区，州和联邦的示例，然后根据它们对CRA原则的遵守情况进行了总结：（1）规划，范围界定和问题制定; （2）风险分析和排名，以及（3）风险特征，解释和管理。尽管每个应用程序都有保护人类健康和环境的共同目标，但他们采用了不同的方法来实现这一目标。对于特定地点或实例的特定项目级分析，这可能是可以接受的，但是为了确保长期适用性和对其他项目的可移植性，提供了开发一致的CRA方法的建议。这种方法将借鉴最佳实践，风险评估和决策分析科学，以及汲取的历史教训，以所有实体可以理解和接受的方式提供结果。此方法旨在为开发CRA方法和可在所有级别上遵循的方法提供一个共同基础。

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