Assessing the Water Quality of Rivers of a Small Town in Wangwenzhuang, Tianjin, China, Using the PCA–WQI min Method

Hui Yuan, Haojie Zhai, Shaoqiang Han, Ye Tian and Jiahong Liu ()
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Hui Yuan: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
Haojie Zhai: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
Shaoqiang Han: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
Ye Tian: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
Jiahong Liu: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China

Sustainability, 2025, vol. 17, issue 7, 1-20

Abstract: The deterioration of the water environment in small towns in China due to urbanization has posed a significant challenge to their socioeconomic sustainability. Therefore, this study aims to employ an integrated assessment method based on the principal component analysis–minimal water quality index model (PCA–WQI min ) to objectively evaluate the water quality and analyze the pollution characteristics of Wangwenzhuang in Tianjin, thereby providing a scientific basis and decision-making support for the sustainable development of small towns. This study’s findings reveal that the PCA–WQI min method identified four key water quality parameters essential for a comprehensive assessment of water quality across seasonal and spatial variations. The analysis revealed that the water quality in the investigated region remained at a “poor” level, with relatively consistent levels across the four catchments, ranked from poorest to best as the Xingchilong catchment area (29.61) < Jianxinpaigan catchment area (31.03) < Chilong catchment area (32.94) < Machangjian catchment area (39.61). This study revealed that the average WQI min values slightly increased in the wet season relative to those in the dry season. This research highlights the critical importance of effectively managing domestic rural sewage and aquaculture pollution to increase surface water quality in small towns. Pollution prevention policies and multiple sources of pollution evaluation will be considered the focus of future studies.

Keywords: water quality crucial index; principal component analysis; water quality assessment; pollution distribution characteristic; small town (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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