Spatial–temporal variations of river water quality under human-induced land use changes in large river basins

Land use patterns and anthropogenic activities exert diverse impacts on river water quality and ecosystem health across spatial and temporal scales. Under ongoing pressures from human activities and climate change, it is urgently needed to understand the pollution mechanisms and associated ecological risks in surface waters through cross-basin assessments that incorporate a broad set of water quality parameters. This study investigated the spatial-temporal variations of 22 water quality parameters, including physico-biochemical indicators, nutrients, and heavy metals, at 39 sampling sites across the Daliao River (DLR), Shuangtaizi River (STR), and Naoli River (NLR). Field observations were conducted in September 2019, December 2020, and June 2020, covering the wet, dry, and agricultural seasons to assess the influencing mechanisms of natural factors and human activities on river water quality and human health. Principal Component Analysis revealed a notable seasonal variation in water quality components for DLR and STR, which indicated substantially high concentrations of TN, NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup> in the dry season. The heavy metal risk for children was calculated at 8.44E-05 year<sup>-1</sup> in NLR during the agricultural season, which exceeded the maximum acceptable limit, with carcinogenic arsenic being the primary contributor. Redundancy analysis (RDA) was employed to examine the influence of land use patterns on water quality across different seasons and spatial scales. DO and COD showed a strong correlation with dry land and woodland, while nutrients and Chl-a were strongly correlated with paddy fields and building areas. This study underscores the critical role of land use management in harmonizing development with ecological sustainability and provides scientific evidence supporting the achievement of Sustainable Development Goal 6 (SDG 6), which focuses on clean and safe water.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-10-22
DOI
https://doi.org/10.1038/s41598-025-20876-z
Citations
7
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
5.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial–temporal variations of river water quality under human-induced land use changes in large river basins

Xiaojing Zhang, Chi Zhang, Ming Cong, Bing Yu et al.
7 citations
Scientific Reports
Water Quality and Pollution Assessment
5.72
article

Spatial–temporal variations of river water quality under human-induced land use changes in large river basins

Xiaojing Zhang, Chi Zhang, Ming Cong, Bing Yu, Zhuohang Xin
article en
7 citations

Abstract

Land use patterns and anthropogenic activities exert diverse impacts on river water quality and ecosystem health across spatial and temporal scales. Under ongoing pressures from human activities and climate change, it is urgently needed to understand the pollution mechanisms and associated ecological risks in surface waters through cross-basin assessments that incorporate a broad set of water quality parameters. This study investigated the spatial-temporal variations of 22 water quality parameters, including physico-biochemical indicators, nutrients, and heavy metals, at 39 sampling sites across the Daliao River (DLR), Shuangtaizi River (STR), and Naoli River (NLR). Field observations were conducted in September 2019, December 2020, and June 2020, covering the wet, dry, and agricultural seasons to assess the influencing mechanisms of natural factors and human activities on river water quality and human health. Principal Component Analysis revealed a notable seasonal variation in water quality components for DLR and STR, which indicated substantially high concentrations of TN, NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup> in the dry season. The heavy metal risk for children was calculated at 8.44E-05 year<sup>-1</sup> in NLR during the agricultural season, which exceeded the maximum acceptable limit, with carcinogenic arsenic being the primary contributor. Redundancy analysis (RDA) was employed to examine the influence of land use patterns on water quality across different seasons and spatial scales. DO and COD showed a strong correlation with dry land and woodland, while nutrients and Chl-a were strongly correlated with paddy fields and building areas. This study underscores the critical role of land use management in harmonizing development with ecological sustainability and provides scientific evidence supporting the achievement of Sustainable Development Goal 6 (SDG 6), which focuses on clean and safe water.

Scientific ReportsVol. 15(1)
Dalian University of Technology (CN), Dalian University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 4%
Water Quality and Pollution Assessment
5.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.