Optimization of Water Environment Assessment Model and Exploration of Driving Factors in Xiangjiang River Basin,Hunan Province
Taking the Xiangjiang River Basin of Hunan Province as the research object,the water environment sta-tus and driving factors of the Xiangjiang River basin were discussed by analyzing 21 water quality indexes of 77 monitoring points in 2023.The methods of cluster analysis,principal component analysis(PCA)and optimized water quality index WQImin model are used to systematically evaluate water quality data.The results show that the water quality of Xiangjiang River basin presents obvious spatial differences and seasonal changes,among which Changzhutan area faces serious organic pollution and nutrient salt pollution,while Loudi area has significant heavy metal pollution.Longitudinal data from 2017 to 2023 shows an overall improvement in water quality,though flood season levels remain lower.Further analysis of driving factors revealed that GDP growth,urbaniza-tion rate and industrial output value were the main socio-economic factors affecting water quality,while forest coverage rate played a positive regulating role.This study provides scientific basis for water environment manage-ment and policy formulation in Xiangjiang River Basin.
Xiangjiang River Basinwater environment assessmentWQImin modeldriving factors
万方数据
维普
