Water Quality Evaluation, Spatial Distribution Characteristics, and Source Analysis of Pollutants in Wanquan River, China
-
Published:2023-07-07
Issue:13
Volume:13
Page:7982
-
ISSN:2076-3417
-
Container-title:Applied Sciences
-
language:en
-
Short-container-title:Applied Sciences
Author:
An Mengyang1, Song Yanwei2, Jiang Junyi2, Fu Guowei2ORCID, Wang Yang2, Wan Xiaoming2
Affiliation:
1. School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China 2. Haikou Marine Geological Survey Center, China Geological Survey, Haikou 571127, China
Abstract
Surface water quality assessment is an important component of environmental protection and sustainable development. In this study, 24 sampling sites were arranged in the Wanquan River area of Hainan Island, China, in 2021, and nine water quality indicators were measured. The water quality of the Wanquan River was assessed using the single factor pollution index method and the Nemerow pollution index method; the spatial distribution characteristics of pollutants were revealed, and the sources of pollution were further analyzed using factor analysis. The results show that the overall water quality of the Wanquan River basin is good, with the average values of all indicators meeting China’s Class III water quality standards. The results of the single factor pollution index method showed that 29% of the sampling sites were in the no pollution class, 38% in the slight pollution class, 25% in the light pollution class, and 8% in the moderate pollution class. The results of the Nemerow pollution index showed that 25% of the sampling sites were in the clean category, 17% in the cleaner category, 42% in the light category, and 17% in the moderate category. The results of the factor analysis show that agricultural activities and domestic sewage discharge are the main sources of pollution, with nitrogen and phosphorus being the most important factors affecting water quality. This paper proposes several measures to reduce water pollution in the Wanquan River, including improving agricultural activities, improving wastewater treatment, and strengthening environmental monitoring. The findings have practical implications for reducing water pollution in rivers and lakes and can provide a reference for policy decisions related to water resource management and environmental protection.
Funder
Comprehensive Survey of Natural Resources in Haichengwen Coastal Zone
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference35 articles.
1. A holistic assessment of water quality condition and spatiotemporal patterns in impounded lakes along the eastern route of China’s South-to-North water diversion project;Qu;Water Res.,2020 2. Spring water quality assessment using water quality index in villages of Barwari Bala, Duhok, Kurdistan Region, Iraq;Ameen;Appl. Water Sci.,2019 3. Assessment of heavy metal pollution and water quality characteristics of the reservoir control reaches in the middle Han River, China;Zhang;Sci. Total Environ.,2021 4. Water quality assessment, multivariate analysis and human health risks of heavy metals in eight major lakes in Kenya;Githaiga;J. Environ. Manag.,2021 5. Agrawal, P., Sinha, A., Kumar, S., Agarwal, A., Banerjee, A., Villuri, V.G.K., Annavarapu, C.S.R., Dwivedi, R., Dera, V.V.R., and Sinha, J. (2021). Exploring artificial intelligence techniques for groundwater quality assessment. Water, 13.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|