一个基于Copula的时空概率模型,用于饮用水源中的重金属污染事件
Jing Liu1, Xiaojuan Xu1, Yushun Qi2
1Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Nanjing 210042, China.
Ecotoxicology and environmental safety
|October 15, 2024
概括
一个新的模型评估了污染事件期间饮用水的安全性. 它发现水的数量和质量是负相关的,洪水季节的风险更高,突出了关键的污染源.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 风险评估 风险评估
背景情况:
- 饮用水源,主要是中国的河流和湖泊,容易受到污染事件的影响.
- 水污染严重威胁到公众健康和生活质量.
- 了解水量和水质之间的相互作用对于源保护至关重要.
研究的目的:
- 开发基于Copula的时空概率模型,以评估流域规模的饮用水源.
- 调查污染事件期间控制水质和水量动态的内部机制.
- 为南京市长江下游流域进行联合概率评估.
主要方法:
- 构建一个时空分布模拟模型来预测水排放和污染物变化.
- 应用Copula函数用于对水量和水质的联合概率评估.
- 对长江下游流域的分析,确定关键风险源和高暴露性饮用水源.
主要成果:
- 在水紧急情况期间,水排放和污染物度之间观察到显著的负相关性.
- 水量与水质的联合概率分布在洪水季节 (0.8523) 与干旱季节 (0.4460) 相比,在洪水季节显著更高.
- 在研究区域确定了五个关键风险源 (N1-N5) 和两个高暴露饮用水源 (W3-W4).
结论:
- 拟议的模型提供了一种综合方法,用于管理意外污染的饮用水源的水量和质量.
- 这些发现强调了洪水季节的风险增加,需要有针对性的管理策略.
- 识别特定的风险来源和易受影响的摄入水是有效饮用水安全的关键.
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