Numerical modeling of water diversion impacts on water quality improvement in Lake Dianchi

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Environmental Modelling & Software Pub Date : 2025-02-15 DOI:10.1016/j.envsoft.2025.106375

Xin-qiang Zhou , Yong-ming Shen , Jun Tang

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引用次数: 0

Abstract

A coupled hydrodynamic-water quality model was employed to investigate water quality improvement in Waihai of Lake Dianchi under different water diversion scenarios, including different volumes, inflow/outflow locations, and seasonal allocations. The accuracy of coupled model was reasonably validated against observed data on water level and temperature, total phosphorus (TP), total nitrogen (TN), dissolved oxygen (DO) and chlorophyll-a (Chl-a) concentrations. Further analysis reveals water diversion significantly improves Waihai's water quality. In northern Waihai, the annual average TP and TN concentrations decrease by 27.2% and 26.1%. The average Chl-a concentration decreases by 36.8% during wet season. Increasing water diversion volume emerges as the most effective strategy for improving water quality. Designating the Panlong River as the inlet and the Jiezhi Gate as the primary outlet for diverted water proves more advantageous in reducing TP, TN, and Chl-a concentrations. Concentrating diverted water during wet season leads to more substantial reductions in Chl-a concentrations.

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滇池引水对水质改善影响的数值模拟

采用水动力-水质耦合模型，对滇池外海在不同调水方案下的水质改善情况进行了研究。结合水位、温度、总磷（TP）、总氮（TN）、溶解氧（DO）和叶绿素a （Chl-a）浓度的实测数据，合理验证了耦合模型的准确性。进一步分析表明，引水对外海水质有显著改善。外海北部TP和TN的年平均浓度分别下降了27.2%和26.1%。雨季平均Chl-a浓度下降36.8%。增加引水量是改善水质最有效的策略。以盘龙江为进水口，以结枝门为引水主要出水口，对降低总磷、总氮和Chl-a浓度更有利。在雨季集中引水会导致Chl-a浓度更大幅度的降低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Environmental Modelling & Software 工程技术-工程：环境

CiteScore

9.30

自引率

8.20%

发文量

241

审稿时长

60 days

期刊介绍： Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.