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- Title
基于APCS-MLR 的水库型 饮用水源水质污染源识别与贡献率分析.
- Authors
夏志昌; 夏继红; 陈晓蕾; 蔡旺炜; 陈敬润
- Abstract
Reservoir-based drinking water sources play an important role in human drinking water safety. The accurate assessment of water quality and accurate tracing of water pollution sources are the necessary basis for refining water quality management in reservoir-based drinking water sources. How to combine water quality assessment and pollution source tracing is still a very challenging problem. Benefit by the extensive application of Absolute Principal Component Score (APCS) and Multivariate Linear Regression (MLR) in environmental pollution assessment and tracing, this paper combines the APCS with MLR to establish a method of APCS-MLR for water quality quantitative assessment and water pollution tracing analysis of a reservoir-based drinking water source. Taking Shanxi Reservoir (total storage capacity 1.824 billion m3) in Wenzhou, Zhejiang Province, China as the study area, continuous water environment monitoring is carried out at 25 fixed monitoring sample sites during 2017-2022 AD, and the water quality dataset of 550 sample sizes including the water quality factors of pH, Dissolved Oxygen, Permanganate Index, Total Phosphorus, Total Nitrogen, Redox Potential, Fecal Escherichia Coli and Turbidity have been obtained. Based on the above basic data, the APCS-MLR method is used to quantitatively evaluate the water quality of Shanxi Reservoir, identify the types of water pollution sources, and quantitatively analyze the distribution and contribution rate of different types of pollution sources. The results show that ① the water quality of Shanxi Reservoir is generally good, but there is a risk of water pollution; ② the main sources of water pollution risk are urban domestic pollution, rural non-point source pollution and soil erosion, and the unknown pollution sources that cannot be ignored;③ the distribution of water pollution sources has significant temporal and spatial variability; ④ water quality factors such as Permanganate Index, Total Phosphorus and Total Nitrogen are mainly affected by rural non-point source pollution and meteorological conditions. Fecal Escherichia Coli is mainly affected by urban domestic pollution, and the contribution of unknown pollution sources to other water quality factors is noteworthy. The analysis shows that the unknown pollution source is most likely from the livestock and poultry industry. This study shows that it is reasonable and feasible to identify the types and contributions of water pollution sources of reservoir-based drinking water sources based on APCS-MLR.
- Publication
China Rural Water & Hydropower, 2023, Issue 12, p113
- ISSN
1007-2284
- Publication type
Article
- DOI
10.12396/znsd.230863