Water Environment Quality Evaluation and Pollutant Source Analysis in Tuojiang River Basin, China

Kai Zhang, Shunjie Wang, Shuyu Liu, Kunlun Liu, Jiayu Yan and Xuejia Li
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Kai Zhang: School of Chemistry and Environment, China University of Mining and Technology (Beijing), Beijing 100083, China
Shunjie Wang: School of Chemistry and Environment, China University of Mining and Technology (Beijing), Beijing 100083, China
Shuyu Liu: School of Chemistry and Environment, China University of Mining and Technology (Beijing), Beijing 100083, China
Kunlun Liu: Xinjiang Energy Co., Ltd. of State Energy Group, Wulumuqi 830000, China
Jiayu Yan: School of Chemistry and Environment, China University of Mining and Technology (Beijing), Beijing 100083, China
Xuejia Li: School of Chemistry and Environment, China University of Mining and Technology (Beijing), Beijing 100083, China

Sustainability, 2022, vol. 14, issue 15, 1-17

Abstract: A water environment quality evaluation and pollution source analysis can quantitatively examine the relationship among water pollution, resources, and the economy, and investigate the main factors affecting water quality. This paper took COD, NH 3 -N, and TP of the Tuojiang River as the research objects. The water environment quality evaluation and pollution source analysis of the Tuojiang River Basin were conducted based on the grey water footprint, decoupling theoretical model, and correlation analysis method. The results showed that grey water footprint decreased, and the water environment quality improved. Among the pollution sources of the grey water footprint, TP accounted for the highest proportion. Moreover, the economic development level and the water environment were generally in a state of high-quality coordination. Farmland and stock breeding pollution accounted for the largest proportion of agricultural pollution and were thus the main source of the grey water footprint. The results of Pearson’s correlation analysis indicated that the source of the pollutants were the imported pollution from the tributaries and agricultural pollution (especially stock breeding and farmland irrigation). These results showed that the quality of the water environment was improving, and the main factors affecting the water environment were stock breeding and farmland pollution in agriculture. This study presents a decision-making basis for strengthening the ecological barrier in the Yangtze River.

Keywords: water environment quality evaluation; pollution source analysis; grey water footprint; decoupling theoretical model; correlation analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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