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估计综合下水道溢出对表面水质在监测稀疏的地区的影响

Daan Bertels¹, Joke De Meester¹, Geert Dirckx²

¹KU Leuven, Department of Civil Engineering, Hydraulics and Geotechnics Section, Kasteelpark Arenberg 40 - box 2448, Leuven 3001, Belgium.

|August 28, 2023

概括

一个新的高效模型评估了综合下水道溢出 (CSO) 对地表水质的影响. 这种方法为数据稀缺地区的水资源管理提供了关键的见解,确保了生态健康和饮用水生产.

科学领域:

环境工程环境工程
水资源管理水资源管理
废水处理废水处理

背景情况:

综合下水道溢出 (CSO) 严重降低了地表水质,影响了饮用水生产.
评估CSO影响的传统详细的水文和水力动力学模型通常受到数据和计算需求的限制.
需要计算效率高的方法来评估民间社会组织的影响,特别是在数据稀缺的领域.

研究的目的:

提出和评估一个计算效率高,综合模型来评估民间社会组织对地表水量和质量的影响.
在当前条件下,评估民间社会组织对饮用水生产中心的抽水区域的影响.
提供适用于数据稀缺地区的方法,以了解采集区层面的民间社会组织影响.

主要方法:

开发了一个概念模型方法来估计CSO排放.
利用经验模型,根据污水处理厂 (WWTP) 影响数据估计CSO污染物度.
对于下水道系统和接收地表水的综合水量和水质模型.
根据观察结果验证了拟议的方法,并建立了参考模型.

主要成果:

提出的概念模型产生了与详细的水力动力学模型相似的结果,涉及每日WWTP废水和CSO频率.
积累的CSO数量估计与更复杂的模型中的估计相似.
从经验模型中估计的污染物度与高分辨率样本溢出数据对齐.

结论:

这种计算效率高的方法有效地评估了民间社会组织在一个水域层面对地表水质的影响.
这种方法对于计划监测活动和分析数据稀缺地区的水供应有价值.
该模型提供了关于民间社会组织对水资源的当前和未来影响的见解.

关键词:

综合下水道溢出综合下水道溢出概念模型是一个概念模型.数据稀缺性数据稀缺性经验模型是一种实证模型.水的质量水的质量

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