首页|InfoWorks ICM-Delft 3D耦合模型在排水体系中点源污染溯源研究

InfoWorks ICM-Delft 3D耦合模型在排水体系中点源污染溯源研究

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城市排水的点源污染是引起黑臭水体的重要原因之一,该研究借助多元监测体系获得的水质数据,结合InfoWorks ICM-Delft 3D耦合模型及差分进化算法(DE)构建了污染溯源模型。以中山市某区域为研究对象,验证了耦合模型与DE算法对污染溯源的有效性。研究表明,连续排放污染源的位置、流量、污染物浓度的溯源精度较高,相对误差均在±0。12的范围内,并且污染溯源精度随着污染源流量增大而下降;随着污染流量增大,瞬时排放污染流量与浓度溯源的相对误差逐渐减小,模型对高流量污染事件的溯源精度较高。该模型体系的构建和应用为城市排水点源污染的溯源提供了科学指导。
Application of InfoWorks ICM-Delft 3D Coupling Model for Point Pollution Traceability in Urban Drainage System
The occurrence of point source pollution in urban drainage system leads to urban black-odor water.Based on the water quality data obtained from the multiple monitoring system,a pollution tracing system was established by combining InfoWorks ICM-Delft 3D coupling model and the differential evolution(DE)algorithm.Taking a region of Zhongshan City as the research objective,the effectiveness of coupling model and DE algorithm for pollution source tracing was verified.The results suggested that for single point source continuous emission pollution tracing,the accuracy of pollution source location,flow and pollutant concentration was high.The relative error was kept within±0.12,and the accuracy of pollution tracing decreases with the increase of pollution source flow.With the increase of the pollution flow,the relative error of flow and concentration tracing decreases gradually,and the accuracy of tracing of the model for high flow pollution events was higher.The developed point pollution traceability system provides scientific guidance for the further research of urban drainage point source pollution tracing.

urban point pollution traceabilityInfoWorks ICMDelft 3Dcoupling modeldifferential evolution algorithm

孙连鹏、储峰、林健新、朱津君、李险峰、祝新哲

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中山大学环境科学与工程学院,广东 广州 510006

广东爱科环境科技有限公司,广东 中山 528400

澳门科技大学计算机科学与工程学院,中国 澳门 999078

城市点源污染溯源 InfoWorks ICM Delft 3D 耦合模型 差分进化算法

国家重点研发计划澳门市科学技术发展基金

2019YFE01114000079/2019/AMJ

2024

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCD北大核心
影响因子:0.943
ISSN:1003-6504
年,卷(期):2024.47(1)