TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS AND DRIVING FACTORS OF SURFACE WATER QUALITY IN HUNAN PROVINCE, CHINA

GAO Wenyuan; ZOU Lin; ZHU Junyi; XIAO Tongjue; YU Yi; SHEN Jianlin

doi:10.13205/j.hjgc.202408003

Volume 42 Issue 8

Aug. 2024

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GAO Wenyuan, ZOU Lin, ZHU Junyi, XIAO Tongjue, YU Yi, SHEN Jianlin. TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS AND DRIVING FACTORS OF SURFACE WATER QUALITY IN HUNAN PROVINCE, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(8): 17-24. doi: 10.13205/j.hjgc.202408003

Citation:

GAO Wenyuan, ZOU Lin, ZHU Junyi, XIAO Tongjue, YU Yi, SHEN Jianlin. TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS AND DRIVING FACTORS OF SURFACE WATER QUALITY IN HUNAN PROVINCE, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(8): 17-24. doi: 10.13205/j.hjgc.202408003

Citation:

GAO Wenyuan, ZOU Lin, ZHU Junyi, XIAO Tongjue, YU Yi, SHEN Jianlin. TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS AND DRIVING FACTORS OF SURFACE WATER QUALITY IN HUNAN PROVINCE, CHINA[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(8): 17-24. doi: 10.13205/j.hjgc.202408003

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TEMPORAL AND SPATIAL VARIATION CHARACTERISTICS AND DRIVING FACTORS OF SURFACE WATER QUALITY IN HUNAN PROVINCE, CHINA

doi: 10.13205/j.hjgc.202408003

GAO Wenyuan¹,
ZOU Lin¹,
ZHU Junyi^{2,3
,
,},
XIAO Tongjue¹,
YU Yi¹,
SHEN Jianlin^{2,3
,}

1. Ecology and Environment Monitoring Centre of Hunan, Changsha 410014, China;
2. Institute of Subtropical Agricultural, Chinese Academy of Sciences, Changsha 410125, China;
3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100094, China

Received Date: 2024-02-15
Available Online: 2024-12-02

Abstract

Abstract

Regional water quality monitoring and cause analysis are important prerequisites for controlling water pollution. Based on the surface water quality data of 547 monitoring sections in Hunan Province from 2021 to 2022, and the GB 3838—2002 Surface Water Environmental Quality Standard, the temporal variation patterns and regional differences in surface water quality in Hunan Province were analyzed. The principal component analysis method was used to identify the main pollution indicators, and the grey relational analysis method was applied to explore the main factors driving the heterogeneity of water quality. The results showed that from 2021 to 2022, the overall surface water quality in Hunan Province was good, with the proportion of Class I to II sections not less than 70% each month. The monthly variation characteristics of surface water quality in Hunan Province showed that the quality in summer was inferior to other seasons. Compared with 2021, the water quality improved in 2022. The main pollution indicators in Hunan Province are the permanganate index, ammonia nitrogen, total phosphorus, and dissolved oxygen. Among the various driving factors, the total industrial water intake, urban sewage discharge, gross regional product, and urban population had an average grey relational grade greater than 0.8 with water quality indicators, which are key factors driving the heterogeneity of surface water quality in different cities and closely related to the water environmental quality of industrial cities.
- Hunan Province,
- water quality assessment,
- driving factors,
- principal component analysis,
- grey correlation degree

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References(40)

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