Water Quality Variation Law and Prediction Method of a Small Reservoir in China

Yu Yu, Yu Bai (), Yingying Ni, Yi Luo and Shafique Junejo
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Yu Yu: School of Water Conservancy and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310000, China
Yu Bai: School of Water Conservancy and Environmental Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310000, China
Yingying Ni: Ningbo Hydrological Station, Ningbo 315000, China
Yi Luo: Ningbo Hydrological Station, Ningbo 315000, China
Shafique Junejo: Department of Geography, University of SIndh, Jamshoro 76080, Pakistan

Sustainability, 2022, vol. 14, issue 21, 1-14

Abstract: Compared with the attention of large reservoirs, the water quality of small reservoirs also needs attention. In recent years, the problem of reservoir water quality has become increasingly serious. How to predict reservoir water quality may be an urgent problem to be solved. Taking the Yangmeiling reservoir as an example, this paper collects the hydrological and water quality data of the Yangmeiling reservoir in the last ten years, analyzes the relationship between hydrological and water quality data, and uses a machine learning method to simulate the relationship between water quality and hydrological data. The results show that the water quality of small reservoirs can be simply linked with hydrological data and can be predicted through hydrological data, and has high simulation accuracy. This method can be popularized in the simulation and prediction of the water quality of small reservoirs; it does not provide a theoretical basis for the water quality management of small reservoirs.

Keywords: reservoir; machine learning method; phosphorus; nitrogen; hydrological data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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