{"title":"平原水库水质评价、污染源划分及环境管理对策——以天河为例","authors":"Jing Gao , Jian Li , Tianheng Tong , Jianying Chao , Zhiqiang Dong , Jianmin Zhan","doi":"10.1016/j.ecolind.2025.113491","DOIUrl":null,"url":null,"abstract":"<div><div>Tianhe Lake serves as the sole emergency reserve drinking water source for Bengbu City’s 1.16 million residents. Recently, the lake’s water has shown significant signs of eutrophication and contamination. In order to understand the change rules and driving factors behind of water quality degradation, this study conducted water quality monitoring and evaluation of the lake. The study results revealed that the water quality index (WQI) of Tianhe Lake ranged from 60.560 to 81.724, indicating overall water quality fluctuating between “good” and “moderate”. The average trophic level index (TLI) of lake water was 63.23, characterized by moderate eutrophication. Influenced by climatic factors and anthropogenic activities, water quality exhibited significant seasonal and spatial distribution characteristics. Principal component analysis/factor analysis (PCA/FA) results indicated that the key water quality indicators included Chlorophyll-a (Chla), five-day biochemical oxygen demand (BOD<sub>5</sub>), ammonium nitrogen (NH<sub>3</sub>-N), total nitrogen (TN), and total phosphorus (TP). The minimal water quality index (WQI<sub>min</sub>) models developed using these five indicators and relative weights exhibited higher accuracy in water quality assessment, with the coefficient of determination (R<sup>2</sup>) and Root Mean Square Error (RMSE) values of 0.886 and 2.586, respectively. Pollution source apportionment analysis suggested that agricultural runoff and domestic sewage discharge were the predominant contributors to pollutant loads. Endogenous release of nitrogen (N) and phosphorus (P) from lake bottom sediments was identified as a secondary source. This study can enhance public awareness regarding safe water supply from small-scale reservoirs and provide new references and benefits for the environment management of plain reservoirs.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"175 ","pages":"Article 113491"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China\",\"authors\":\"Jing Gao , Jian Li , Tianheng Tong , Jianying Chao , Zhiqiang Dong , Jianmin Zhan\",\"doi\":\"10.1016/j.ecolind.2025.113491\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Tianhe Lake serves as the sole emergency reserve drinking water source for Bengbu City’s 1.16 million residents. Recently, the lake’s water has shown significant signs of eutrophication and contamination. In order to understand the change rules and driving factors behind of water quality degradation, this study conducted water quality monitoring and evaluation of the lake. The study results revealed that the water quality index (WQI) of Tianhe Lake ranged from 60.560 to 81.724, indicating overall water quality fluctuating between “good” and “moderate”. The average trophic level index (TLI) of lake water was 63.23, characterized by moderate eutrophication. Influenced by climatic factors and anthropogenic activities, water quality exhibited significant seasonal and spatial distribution characteristics. Principal component analysis/factor analysis (PCA/FA) results indicated that the key water quality indicators included Chlorophyll-a (Chla), five-day biochemical oxygen demand (BOD<sub>5</sub>), ammonium nitrogen (NH<sub>3</sub>-N), total nitrogen (TN), and total phosphorus (TP). The minimal water quality index (WQI<sub>min</sub>) models developed using these five indicators and relative weights exhibited higher accuracy in water quality assessment, with the coefficient of determination (R<sup>2</sup>) and Root Mean Square Error (RMSE) values of 0.886 and 2.586, respectively. Pollution source apportionment analysis suggested that agricultural runoff and domestic sewage discharge were the predominant contributors to pollutant loads. Endogenous release of nitrogen (N) and phosphorus (P) from lake bottom sediments was identified as a secondary source. This study can enhance public awareness regarding safe water supply from small-scale reservoirs and provide new references and benefits for the environment management of plain reservoirs.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"175 \",\"pages\":\"Article 113491\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25004212\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25004212","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Water quality evaluation, pollution sources apportionment, and environment management strategies in plain reservoirs: A case study of Tianhe Lake, China
Tianhe Lake serves as the sole emergency reserve drinking water source for Bengbu City’s 1.16 million residents. Recently, the lake’s water has shown significant signs of eutrophication and contamination. In order to understand the change rules and driving factors behind of water quality degradation, this study conducted water quality monitoring and evaluation of the lake. The study results revealed that the water quality index (WQI) of Tianhe Lake ranged from 60.560 to 81.724, indicating overall water quality fluctuating between “good” and “moderate”. The average trophic level index (TLI) of lake water was 63.23, characterized by moderate eutrophication. Influenced by climatic factors and anthropogenic activities, water quality exhibited significant seasonal and spatial distribution characteristics. Principal component analysis/factor analysis (PCA/FA) results indicated that the key water quality indicators included Chlorophyll-a (Chla), five-day biochemical oxygen demand (BOD5), ammonium nitrogen (NH3-N), total nitrogen (TN), and total phosphorus (TP). The minimal water quality index (WQImin) models developed using these five indicators and relative weights exhibited higher accuracy in water quality assessment, with the coefficient of determination (R2) and Root Mean Square Error (RMSE) values of 0.886 and 2.586, respectively. Pollution source apportionment analysis suggested that agricultural runoff and domestic sewage discharge were the predominant contributors to pollutant loads. Endogenous release of nitrogen (N) and phosphorus (P) from lake bottom sediments was identified as a secondary source. This study can enhance public awareness regarding safe water supply from small-scale reservoirs and provide new references and benefits for the environment management of plain reservoirs.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.