Integrating material flow analysis into hydrological model for water environment management of large-scale urban-rural mixed catchment

被引:1
|
作者
Jia, Qimeng [1 ]
Jia, Haifeng [1 ,2 ]
Sun, Mingzhuang [1 ]
Wang, Chenyang [1 ]
Shi, Xiaoyu [1 ]
Zhou, Bingyi [1 ]
Cai, Zibing [1 ]
机构
[1] School of Environment, Tsinghua University, Beijing,100084, China
[2] Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatment, Suzhou University of Science and Technology, Suzhou,215009, China
基金
中国国家自然科学基金;
关键词
Catchments - Pollution control;
D O I
10.1016/j.scitotenv.2024.177251
中图分类号
学科分类号
摘要
Simultaneous simulation of urban and rural hydrological processes is important for water environment management of mixed land-uses catchments. However, the discharge paths of pollution in the urban drainage system are not described in traditional catchment hydrological models. In this study, an urban-rural water environment (URWE) model is developed through incorporating the material flow analysis (MFA) and the soil and water assessment tool (SWAT) into a general framework. The URWE model is an advancement with respect to traditional hydrological models in terms of simultaneously simulating the urban organized and rural decentralized discharges of pollution. Due to the low data requirement and high computational efficiency of MFA, URWE model is applicable to large-scale catchment with wide urban area. The URWE model is applied to a typical urban-rural mixed catchment, the Dianchi Catchment (China), where the pollution characteristics are analyzed and the pollution control measures are investigated. Results indicate that the URWE model outperforms the conventional SWAT model for both water quantity and quality simulations, with an 8.5 % improvement in average coefficient of determination (R2) and a 67.4 % improvement in average Nash coefficient (NSE). Rural best management practice, rainwater-sewage separation, and storage capacity expansion are identified as the most cost-effective measures for COD, TN, and TP reduction, respectively. Contributions of this study are to improve the accuracy of water environment simulation in urban-rural mixed catchment, as well as to help decision-makers develop synergistic urban-rural water environment management measures. © 2024 Elsevier B.V.
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