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建模空间时空的家用废水变化:对测量处理效率的影响

Néstor DelaPaz-Ruíz¹, Ellen-Wien Augustijn¹, Mahdi Farnaghi¹

¹Department of Geo-Information Processing (GIP), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Drienerlolaan 5, 7522 NB, Enschede, the Netherlands.

Journal of environmental management

|December 6, 2023

概括

了解家用废水 (DW) 的变化是精确测量废水处理厂 (WWTP) 效率的关键. 我们的模型显示,时空DW变化可能导致效率的显著高估或低估,影响卫生管理.

科学领域:

环境工程环境工程
废水处理废水处理
环境卫生管理环境卫生管理

背景情况:

持续监测废水处理厂 (WWTP) 的效率对于卫生进展至关重要.
目前对分散的WWTP的规定往往依赖于零星抽样,忽视了国内废水 (DW) 的变化,特别是在低收入和中等收入国家.
有限的研究存在于建模和理解时空空间DW变化.

研究的目的:

开发和校准一个基于代理的模型 (ABM),以了解空间和时间的DW变化.
评估DW波动对估计的WWTP效率的影响.
为改善分散卫生卫生中的采样法规提供建议.

主要方法:

开发并校准了一个基于代理的模型 (ABM).
在墨西哥Santa Ana Atzcapotzaltongo的各种时空分辨率上模拟DW变化 (COD和TSS).
分析了DW可变性对WWTP效率估计的影响.

主要成果:

随着更高的时空分辨率,DW变异性会增加.
零星抽样可以导致高达25%的高估或低估WWTP效率.
建议使用特定的采样间隔 (6分钟超过3小时) 和报告标准 (捕捞区,人口,采样时间).

结论:

该ABM是一个有价值的工具,以了解DW变化及其对WWTP效率的影响.
改进的抽样策略和监管报告对于准确的WWTP绩效评估至关重要.
该模型可以为WWTP的设计和运行提供信息,并加强分散的卫生法规.

关键词:

基于代理的模型模型.分散的净化厂分散的净化厂卫生卫生条例卫生卫生条例空间时间分辨率.时间序列时间序列水的质量水的质量

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