Research on Water Pollution Monitoring and Qualitative Source Identification in a Typical Coastal River Network

This study focuses on a rapidly urbanizing coastal plain where river networks serve as critical pathways for pollutant transport to nearshore waters. Under frequent sluice control and sluggish hydrodynamics, pollutants accumulate in channels and are subsequently flushed during intense rainfall or sluice-opening events, increasing pollutant loads in downstream estuaries. Based on 2017–2024 water quality monitoring data, integrated multi-source environmental factor analysis and unmanned patrol boat technology, systematic water quality assessment and pollution source identification were conducted. Significant spatial heterogeneity was observed: phosphorus and nitrogen pollution dominated in the eastern region, whereas the permanganate index was more prominent in the western part of the network. Identification of abrupt water quality change sections revealed industrial wastewater as the primary contributor to phosphorus and nitrogen, whereas permanganate index pollution originated widely from aquaculture, agriculture, and industrial discharges. Atmospheric deposition likely provides a non-negligible contribution to phosphorus and nitrogen input, with fluxes strongly correlated to rainfall. Sediment release posed internal risks of carbon and phosphorus, with intensity positively linked to pollution levels. This study elucidates the water quality characteristics and multi-source pollution mechanisms in typical coastal river networks under rapid economic development. Therefore, it provides a scientific basis for precise regional water environment management and coastal water quality protection.

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Publication Details

Journal
Environments
Published
2025-12-19
DOI
https://doi.org/10.3390/environments13010001
Citations
1
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.82
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article

Research on Water Pollution Monitoring and Qualitative Source Identification in a Typical Coastal River Network

Yunfei He, Hangjun Zhang, Jiafeng Ding, Budi Zhao et al.
1 citations
Environments
Water Quality and Pollution Assessment
0.82
article

Research on Water Pollution Monitoring and Qualitative Source Identification in a Typical Coastal River Network

Yunfei He, Hangjun Zhang, Jiafeng Ding, Budi Zhao, Ranyun Xu, Ziming Wang, Pengcheng Yao, Yangyang Luo, Min Cao, Rong Guan, Shi Ying, Mingyu Xuan
article en
1 citations

Abstract

This study focuses on a rapidly urbanizing coastal plain where river networks serve as critical pathways for pollutant transport to nearshore waters. Under frequent sluice control and sluggish hydrodynamics, pollutants accumulate in channels and are subsequently flushed during intense rainfall or sluice-opening events, increasing pollutant loads in downstream estuaries. Based on 2017–2024 water quality monitoring data, integrated multi-source environmental factor analysis and unmanned patrol boat technology, systematic water quality assessment and pollution source identification were conducted. Significant spatial heterogeneity was observed: phosphorus and nitrogen pollution dominated in the eastern region, whereas the permanganate index was more prominent in the western part of the network. Identification of abrupt water quality change sections revealed industrial wastewater as the primary contributor to phosphorus and nitrogen, whereas permanganate index pollution originated widely from aquaculture, agriculture, and industrial discharges. Atmospheric deposition likely provides a non-negligible contribution to phosphorus and nitrogen input, with fluxes strongly correlated to rainfall. Sediment release posed internal risks of carbon and phosphorus, with intensity positively linked to pollution levels. This study elucidates the water quality characteristics and multi-source pollution mechanisms in typical coastal river networks under rapid economic development. Therefore, it provides a scientific basis for precise regional water environment management and coastal water quality protection.

EnvironmentsVol. 13(1)
Hangzhou Normal University (CN), Zhejiang Institute of Hydraulics & Estuary (CN)
Openalex Percentile: Top 20%
Water Quality and Pollution Assessment
0.82
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