Spatial and temporal characteristics of pollution loads in Tuojiang River watershed located in Sichuan Province, Southwest of China

Yuting Xiao (), Min Fan (), Jing Yao (), Xiaoying Liang (), Can Cai (), Yuanzhe Wang () and Weiguo Tu ()
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Yuting Xiao: Southwest University of Science and Technology
Min Fan: Southwest University of Science and Technology
Jing Yao: Southwest University of Science and Technology
Xiaoying Liang: Southwest University of Science and Technology
Can Cai: Southwest University of Science and Technology
Yuanzhe Wang: Southwest University of Science and Technology
Weiguo Tu: Sichuan Academy of Natural Resources Sciences - Sichuan Productivity Promotion Center

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 4, No 84, 10283-10309

Abstract: Abstract Tuojiang River watershed is the water supply area of Chengdu plain which is located in southwestern Sichuan Province, China, its safety of water environment directly impacts on social–economic sustainable development. In this study, we firstly used pollution discharge coefficient method to estimate the pollution loads of chemical oxygen demand (COD), ammonia nitrogen (NH3-N), total nitrogen (TN) and total phosphorus (TP) of main pollution sources in 28 districts (counties) of Tuojiang River watershed from 2007 to 2017. We then adopted principle component analysis and k-means cluster analysis to determine categories of pollution sources. We finally recognized pollution risk areas through global and local spatially autocorrelation analysis. The results suggested that the COD was the primary pollutant whose pollution load value can be up to 44.99 × 104 t. The livestock and poultry breeding, and urban life pollution sources were main pollution sources. The pollution loads were correlated to climate and intensive agricultural activities. The pollution sources types related to agricultural activities changed into pollution sources types related to urbanization levels because of changes in population and agricultural driving factors. The Yanjiang district located in the middle of study watershed was always in higher pollution risk, and the pollution of Fushun county located in the downstream of watershed had a spillover effect on its surrounding counties because of its high pollution risk. Therefore, it is vital to help environment decision makers make strategies of water environment management across watershed through quantification of temporal and spatial characteristics of main pollution loads and their driving factors.

Keywords: Pollution loads; Spatial and temporal characteristics; Multiple statistical analysis; Spatial autocorrelation; Tuojiang River watershed (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03147-7

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