Spatiotemporal Characteristics of Water Quality in Qiantang River Basin: An Analysis Based on the WQI Model and Multivariate Statistics

Global river water quality degradation severely impairs aquatic ecosystem stability and human health, highlighting the urgency of spatiotemporal analysis for management guidance. Based on 2014–2024 monitoring data from the Quzhou Section of Qiantang River Basin, this study adopted the Water Quality Index (WQI) and statistical methods (PCA, Mann–Kendall test) to explore the spatiotemporal characteristics of water quality across the basin. Results showed an overall mean WQI of 79.26 (classified as “Good”), with general stability, localized fluctuations, and a stable-then-declining trend, mirroring an imbalance between governance effects and emerging pollution pressures. It identifies a critical governance phase focused on securing the current good water quality and curbing the trend of further deterioration. Water quality exhibited distinct variations: upper reaches > lower reaches, tributaries > mainstreams, with priority required for the Wuxi River’s declining WQI and the Qu River’s persistently low WQI. TN, TP, and NH3-N were identified as key factors coupled with land use patterns. A differentiated strategy prioritizing nitrogen control, synergizing phosphorus–oxygen management, and reducing organics is thus proposed. This study provides scientific references for water quality assessment and targeted aquatic ecological governance in the basin and similar river networks.

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Publication Details

Journal
Water
Published
2026-02-02
DOI
https://doi.org/10.3390/w18030386
Primary Topic
Water Quality and Pollution Assessment
Type
article
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article

Spatiotemporal Characteristics of Water Quality in Qiantang River Basin: An Analysis Based on the WQI Model and Multivariate Statistics

Wenhai Luo, Jing Cheng, Danxia Liu, Jing Chen
Water
Water Quality and Pollution Assessment
article

Spatiotemporal Characteristics of Water Quality in Qiantang River Basin: An Analysis Based on the WQI Model and Multivariate Statistics

Wenhai Luo, Jing Cheng, Danxia Liu, Jing Chen
article en

Abstract

Global river water quality degradation severely impairs aquatic ecosystem stability and human health, highlighting the urgency of spatiotemporal analysis for management guidance. Based on 2014–2024 monitoring data from the Quzhou Section of Qiantang River Basin, this study adopted the Water Quality Index (WQI) and statistical methods (PCA, Mann–Kendall test) to explore the spatiotemporal characteristics of water quality across the basin. Results showed an overall mean WQI of 79.26 (classified as “Good”), with general stability, localized fluctuations, and a stable-then-declining trend, mirroring an imbalance between governance effects and emerging pollution pressures. It identifies a critical governance phase focused on securing the current good water quality and curbing the trend of further deterioration. Water quality exhibited distinct variations: upper reaches > lower reaches, tributaries > mainstreams, with priority required for the Wuxi River’s declining WQI and the Qu River’s persistently low WQI. TN, TP, and NH3-N were identified as key factors coupled with land use patterns. A differentiated strategy prioritizing nitrogen control, synergizing phosphorus–oxygen management, and reducing organics is thus proposed. This study provides scientific references for water quality assessment and targeted aquatic ecological governance in the basin and similar river networks.

WaterVol. 18(3)
Hohai University (CN), Quzhou University (CN), Zhejiang Tongji Vocational College of Science and Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 71%
Water Quality and Pollution Assessment
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