基于风险的不准确的补救后土壤质量目标
Dominique Guyonnet1, Aline Coftier1, Philippe Bataillard1
1BRGM, Orléans, France.
The Science of the total environment
|March 5, 2024
概括
本研究引入了一种针对受污染土地的新风险评估方法,该方法包含了随机和认识系统的不确定性. 这种方法以间隔的方式产生土壤质量目标,增强补救后监测保障.
科学领域:
- 环境科学 环境科学
- 风险评估 风险评估
- 土壤修复土壤的修复.
背景情况:
- 污染土地的基于风险的管理对于可持续的整治至关重要.
- 不确定性,无论是随机的 (aleatoric) 还是认识的,都是风险评估固有的.
- 认识体系的不确定性经常被忽视,导致精确的,单一价值的土壤质量目标.
研究的目的:
- 为了证明如何联合处理随机和认识不确定性可以导致基于间隔的土壤质量目标.
- 展示间隔目标如何为补救后监测提供更好的基于风险的保障.
- 应用和说明拟议的方法,使用真实世界污染土壤的案例研究.
主要方法:
- 风险评估包括随机和认识系统的不确定性.
- 开发基于间隔的土壤质量目标.
- 对法国东北部污染土壤的案例研究分析,包括采样,化学表征和生物可访问性分析.
主要成果:
- 共同处理不确定性导致以间隔呈现的土壤质量目标,而不是精确的值.
- 基于间隔的目标为补救后的监测提供了更强大的保障.
- 该案例研究成功地说明了将部分或不准确的信息纳入风险分析的方法.
结论:
- 考虑到随机和认识的不确定性,为受污染的土地管理提供了更现实的和保护性的方法.
- 基于间隔的土壤质量目标提高了修复工作的可靠性.
- 该方法适用于复杂污染和数据限制的地点.
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