Modeling water quantity and quality for a typical agricultural plain basin of northern China by a coupled model

被引:35
作者
Xue, Baolin [1 ,2 ]
Zhang, Hanwen [1 ]
Wang, Yuntao [1 ,2 ]
Tan, Zhongxin [1 ]
Zhu, Yi [1 ,2 ]
Shrestha, Sangam [3 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Xinjiekouwai St 19, Beijing 100875, Peoples R China
[2] Beijing Key Lab Urban Hydrol Cycle & Sponge City, Beijing, Peoples R China
[3] Asian Inst Technol, Sch Engn & Technol, Pathum Thani, Thailand
基金
中国国家自然科学基金;
关键词
Model coupling; Hydrological model; SWAT; Water quality model; HEC-RAS; Xiaoqing River Basin; NONPOINT-SOURCE POLLUTION; CLIMATE-CHANGE IMPACTS; LAND-USE; SURFACE-WATER; RIVER-BASIN; SWAT MODEL; HYDROLOGICAL MODELS; NUTRIENT LOSSES; ASSESSMENT-TOOL; CATCHMENT;
D O I
10.1016/j.scitotenv.2021.148139
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water crisis across the globe has placed high pressure on social development due to the need to balance the water consumption between sustainable economy and functioning ecosystem. Integrated process-based modeling has been reported as an effective tool to better understand the complex mechanisms of water issues on a basin scale. Considering that it is still relatively difficult to simulate the water quantity-quality processes simultaneously, this study proposed an integrated modeling framework by coupling a hydrological model with a water quality model. Taking the Xiaoqing River Basin in the Shandong Province of northern China as an example, this study coupled a distributed hydrological model, SWAT, with a one-dimensional hydrodynamic-water quality model, HEC-RAS, to investigate its ability to simulate water quality and quality at the basin scale. The coupling of the two models adopted the "output-input" scheme, where the runoff modeling results from SWAT are input into HEC-RAS for hydrodynamic and water quality simulations of the river channel. The results show that the SWAT model can adequately reproduce runoff with accepted accuracy for the calibration and validation periods with acceptable R2 and Nash-Sutcliffe coefficients for the two hydrological stations. Further analysis also shows that the coupled model can simulate the concentration of ammonia nitrogen (NH4-N) and the chemical oxygen demand (COD) in the middle and upper stream of the river for both low and high flow periods. The coupling of the hydrological and hydraulic models in this study provides a good tool for identifying the spatial patterns of the water pollutants over the basin and, thus, helps simplify precision water management. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:14
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