APPLICATION OF WATER QUANTITY AND QUALITY JOINT CONTROL MODEL IN QIANSHAN RIVER BASIN

WU Mengli; ZHANG Xianghan; WANG Hongyu; XU Dongjian; CHEN Wufen

doi:10.13205/j.hjgc.202311025

Volume 41 Issue 11

Nov. 2023

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(11): 160-164

WU Mengli, ZHANG Xianghan, WANG Hongyu, XU Dongjian, CHEN Wufen. APPLICATION OF WATER QUANTITY AND QUALITY JOINT CONTROL MODEL IN QIANSHAN RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 160-164. doi: 10.13205/j.hjgc.202311025

Citation:

WU Mengli, ZHANG Xianghan, WANG Hongyu, XU Dongjian, CHEN Wufen. APPLICATION OF WATER QUANTITY AND QUALITY JOINT CONTROL MODEL IN QIANSHAN RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(11): 160-164. doi: 10.13205/j.hjgc.202311025

Citation:

PDF( 8334 KB)

APPLICATION OF WATER QUANTITY AND QUALITY JOINT CONTROL MODEL IN QIANSHAN RIVER BASIN

doi: 10.13205/j.hjgc.202311025

1. Zhuhai Water Supply and Drainage Pollution Control Center, Zhuhai 519020, China;
2. Zhuhai Zhuobang Technology Co., Ltd., Zhuhai 519070, China;
3. Pearl River Water Resources Research Institute, Guangzhou 510611, China

Received Date: 2023-08-02
Available Online: 2023-12-25

Abstract

Abstract

Urban rivers are the carriers of the urban water ecological environment. Due to the increasing expansion of urban areas, the ecological impact of human activities on rivers is gradually increasing. A large number of urban rivers are facing problems, such as water pollution, ecological imbalance, reduced river flow capacity, and river sedimentation. This paper took the Qianshan River Basin in Zhuhai city as an example, and designed four sets of optimization scheduling plans to meet the need for basin optimization scheduling. By constructing a joint regulation model for water quantity and quality in the Qianshan River Basin, the scheduling effectiveness of the four optimization scheduling plans was analyzed. The results showed that the optimal scheduling effect is to build new water gates in the Qianshan River and Zhizhouchong River, which can isolate the Tanzhou water system from the Zhuhai water system. Tanzhou water system will become completely closed after the closure of the water gate and not be affected by salt tides. A unidirectional flow pattern will be formed in the Zhuhai water system, with inflow by Guangchang and Hongwan water gates, and drainage by Shijiaozui water gate on the Qianshan River.
- water pollution,
- water quantity and quality,
- joint regulation,
- urban rivers

FullText(HTML)

References(16)

References

[1]	王磊, 陈石磊, 张恒飞, 等.基于水动力水质模型的梁滩河水环境监管系统设计与实现[J].水利水电快报, 2023, 44(5):128-133.
[2]	项飞, 郝瑞霞, 张倩楠.一二维耦合的水动力水质模型在闸汾河控河段的应用[J].太原理工大学学报, 2023, 54(2):332-340.
[3]	陈黎明, 俞欣, 金哲, 等.基于水动力水质模型的金川河流域水质长效达标分析[J].人民珠江, 2023, 44(7):71-79.
[4]	王爱杰, 许冬件, 钱志敏, 等.我国智慧水务发展现状及趋势[J].环境工程, 2023, 41(9):46-53.
[5]	袁行知, 许雪峰, 俞亮亮, 等.基于水动力水质模型的平原河网排污模拟分析[J].中国农村水利水电, 2022(12):39-46.
[6]	张家鸣, 刘继艳.基于一维水动力水质模型的纳污能力分段核定研究:以江门市江海区礼乐河为例[J].人民珠江, 2017, 38(7):85-88.
[7]	CHENG Y, LI Y, WANG Y, et al.Uncertainty and sensitivity analysis of spatial distributed roughness to a hydrodynamic water quality model:a case study on Lake Taihu, China[J].Environmental science and pollution research international, 2021, 29(9).
[8]	PYO J C, KWON Y S, MIN J H, et al.Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models[J].Journal of Environmental Management, 2021, 294.
[9]	何黎艳.基于河道水动力水质模型的福州南台岛补水优化调度研究[J].中国高新科技, 2021(12):135-136.
[10]	李松萍.非规则断面明渠与伏流一维水动力水质模拟[D].武汉:华中科技大学, 2021.
[11]	吴凡杰, 吴钢锋, 董平等.基于三维水动力水质数值模型的象山港排污策略研究[J].海洋环境科学, 2021, 40(1):24-33.
[12]	MAN X, LEI C, CAREY C C, et al.Relative Performance of 1-D Versus 3-D Hydrodynamic, Water-Quality Models for Predicting Water Temperature and Oxygen in a Shallow, Eutrophic, Managed Reservoir[J].Water, 2021, 13(1).
[13]	伊学农, 吴跃颖.水文-水动力-水质模型耦合应用现状综述[J].中国水运(下半月), 2020, 20(4):41-43.
[14]	邵世保, 吴雁, 张德辉, 等.基于EFDC水动力-水质模型的建立:以慈湖河为例[J].环境与发展, 2020, 32(2):103-105 , 109.
[15]	杜文娟, 陈黎明, 陈炼钢, 等.水动力水质模型在温黄平原河网入河污染负荷削减中的应用[J].水利水电技术, 2018, 49(6):109-117.
[16]	Artificial Neural Networks.Study data from Vanderbilt University provide new insights into artificial neural networks hydropower optimization using artificial neural network surrogate models of a high-fidelity hydrodynamics and water quality model[J].Ecology Environment, Conservation, 2018:716-726.