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一个基于DFN的框架,用于概率评估破裂含水层地下水污染情况
Cheng Du1, Xinxin Li1, Wenping Gong1
1Faculty of Engineering, China University of Geosciences, Wuhan, Hubei 430074, China.
Chemosphere
|June 26, 2023
概括
由于断裂不确定性,评估破裂含水层地下水污染是复杂的. 本研究引入了使用离散断裂网络 (DFN) 建模来量化风险和改进污染评估的概率框架.
科学领域:
- 水文地质学 水文地质学
- 环境科学 环境科学
- 地质科学是地球科学.
背景情况:
- 断层含水层对地下水污染风险评估构成重大挑战,原因是复杂的断层网络和固有的不确定性.
- 了解流体岩石相互作用和断裂几何学对于准确的风险评估至关重要.
研究的目的:
- 提出一个新的概率评估框架,用于地下水污染在破裂的含水层.
- 量化与断裂几何学相关的不确定性及其对污染物运输的影响.
- 用水质指数 (WQI) 和危害指数 (HI) 来概率分析环境和健康风险.
主要方法:
- 独立断裂网络 (DFN) 建模以表示含水层复杂性.
- 蒙特卡洛模拟技术用于量化断裂几何学的不确定性.
- 概率分析整合了污染物运输,WQI和HI.
主要成果:
- 污染物运输行为受到裂纹网络的分布和特征的重大影响.
- 拟议的框架有效地考虑了大众运输过程中的不确定性.
- 概率风险评估为地下水污染提供了更现实的评估.
结论:
- 开发的概率框架提高了对破裂水层地下水污染风险的评估.
- 这种方法为管理水文地质风险评估中的不确定性提供了一种实际方法.
- 更好地了解破裂系统中的污染物运输对于环境保护至关重要.
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