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Volume 16
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10.3390/w16010051
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Article

A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM

by
Junbo Wen
1,2,
Mengdie Ju
1,2,
Zichen Jia
1,2,
Lei Su
3,
Shanshan Wu
3,
Yuting Su
3,
Wenxiao Liufu
3 and
Hailong Yin
1,2,*
1
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
2
State Key Laboratory of Pollution Control and Resource Reuse Research, Tongji University, Shanghai 200092, China
3
Guangzhou Resource Environmental Protection Technology Co., Ltd., Guangzhou 510075, China
*
Author to whom correspondence should be addressed.
Water 2024, 16(1), 51; https://doi.org/10.3390/w16010051
Submission received: 19 November 2023 / Revised: 14 December 2023 / Accepted: 18 December 2023 / Published: 22 December 2023
(This article belongs to the Special Issue Management and Optimization of Urban Water Networks)
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Abstract

Worldwide abatement of untreated sewage discharge into surface water is a challenging task. Sewage discharging into surface waters has a detrimental impact on water quality. This paper presents a MATLAB (R2018b) framework designed to identify sewage flow discharges into rivers from an inverse problem-solving perspective. The computational tool integrates a hydrodynamic model using the Hydrologic Engineering Center’s River Analysis System (HEC-RAS 5.0.0) and an open-source toolbox for Differential Evolution Adaptive Metropolis (DREAM) as the inverse problem method. The proposed framework can effectively infer discharge sources in scenarios of highly transient flow based on hydraulic data at pre-set monitoring sites. To validate its capabilities, one hypothetical case and two real cases of sewage flow discharges entering a river were used to test the developed modeling framework. The results based on three performance metrics showed that this mathematical tool can be extended to simulate complex hydrodynamic flow patterns. This accomplishment underscores its potential as a valuable asset for environmental monitoring and water quality restoration efforts.
Keywords: mathematic modeling; model integration; HEC-RAS; inverse problem; source flow tracking mathematic modeling; model integration; HEC-RAS; inverse problem; source flow tracking

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MDPI and ACS Style

Wen, J.; Ju, M.; Jia, Z.; Su, L.; Wu, S.; Su, Y.; Liufu, W.; Yin, H. A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM. Water 2024, 16, 51. https://doi.org/10.3390/w16010051

AMA Style

Wen J, Ju M, Jia Z, Su L, Wu S, Su Y, Liufu W, Yin H. A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM. Water. 2024; 16(1):51. https://doi.org/10.3390/w16010051

Chicago/Turabian Style

Wen, Junbo, Mengdie Ju, Zichen Jia, Lei Su, Shanshan Wu, Yuting Su, Wenxiao Liufu, and Hailong Yin. 2024. "A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM" Water 16, no. 1: 51. https://doi.org/10.3390/w16010051

APA Style

Wen, J., Ju, M., Jia, Z., Su, L., Wu, S., Su, Y., Liufu, W., & Yin, H. (2024). A Computational Tool to Track Sewage Flow Discharge into Rivers Based on Coupled HEC-RAS and DREAM. Water, 16(1), 51. https://doi.org/10.3390/w16010051

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