Framework of wind joint analysis for different lake regions and its effects on the water quality

Wei He; Qinglin Zeng; Sheng Chen; Chao Ma; Hui Xu

doi:10.1016/j.scitotenv.2023.167003

Framework of wind joint analysis for different lake regions and its effects on the water quality

Sci Total Environ. 2023 Dec 20:905:167003. doi: 10.1016/j.scitotenv.2023.167003. Epub 2023 Sep 14.

Authors

Wei He¹, Qinglin Zeng², Sheng Chen³, Chao Ma⁴, Hui Xu²

Affiliations

¹ College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu, China; Collaborative Innovation Center on Water Safety and Water Science, Hohai University, Nanjing 210098, China; National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; Key Laboratory of Water Grid Project and Regulation of Ministry of Water Resources, Changjiang Design Group Limited Company, Wuhan 430010, China.
² College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu, China; Collaborative Innovation Center on Water Safety and Water Science, Hohai University, Nanjing 210098, China; National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China.
³ College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, Jiangsu, China; Collaborative Innovation Center on Water Safety and Water Science, Hohai University, Nanjing 210098, China; National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China. Electronic address: chensheng@hhu.edu.cn.
⁴ State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China.

PMID: 37714351
DOI: 10.1016/j.scitotenv.2023.167003

Abstract

Water quality of Lake Taihu (LT) is paid wide attention, and the wind field makes wind-induced flow, significantly impacting the water quality. As a wide lake, the wind field suffers spatial and temporal changes. The correlated relationship among the wind fields for different lake regions has not been studied, and the joint effects of wind field on the water quality is still unknown. Hence, this paper proposed a framework of wind joint analysis for different lake regions and modelling its effects on the water quality, including joint analysis of wind field for different lake regions using Copula function, random time series generation of wind field using Monte-Carlo simulation, and hydrodynamic and water quality numerical simulation. Taking the Lake Taihu (LT) as study case, the joint relationships of wind field for four lake regions were analyzed, and the COD_MN, TP and TN distributions under different wind fields were simulated. This paper showed the following: (1) The relationship between the wind speed and direction was weak, and the correlated relationships among the wind fields for four lake regions were significant (ρ > 0.5). (2) The water quality of LT was more influenced by the wind direction rather than the wind speed, with an impacting ratio of ∼4.5. (3) The discharged weighted angle of runoff outflow (DWARO) was a practical index to improve the water quality. When regulating the input/output runoff discharge, water diversion project and water intakes in practice, the administrations should make the DWARO less than or equal to the average wind direction, to decrease the average pollutant concentration and improve the water quality of lake and intake. The proposed framework and results of LT could be extended to other wide shallow lakes to support the environmental management and basin runoff regulation.

Keywords: Copula joint analysis; Hydrodynamic; Lake Taihu; Monte-Carlo simulation; Water quality; Water quality model; Wind field.