ArticleEnvironmental monitoring and assessment2017
Using multivariate techniques to assess the effects of urbanization on surface water quality: a case study in the Liangjiang New Area, China.
Article in Environmental monitoring and assessment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Sensitive assessment of groundwater-associated, multi-exposure health hazards in a fluoride-enriched region of West Bengal, India.Environmental geochemistry and health · 2021Article
- Spatiotemporal variation of nitrogen and phosphorus and its main influencing factors in Huangshui River basin.Environmental monitoring and assessment · 2021Article
- Temporal and spatial variations of surface water quality in the Nile River of Damietta Region, Egypt.Environmental monitoring and assessment · 2021Article
- Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil.Environmental monitoring and assessment · 2018Article
- Characterization of spatial and temporal patterns in surface water quality: a case study of four major Lebanese rivers.Environmental monitoring and assessment · 2018Article
- Assessment of water quality using multivariate techniques in River Sosiani, Kenya.Environmental monitoring and assessment · 2017Article
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Authors and funding
7 authors.
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Abstract
Rapid urbanization in China has been causing dramatic deterioration in the water quality of rivers and threatening aquatic ecosystem health. In this paper, multivariate techniques, such as factor analysis (FA) and cluster analysis (CA), were applied to analyze the water quality datasets for 19 rivers in Liangjiang New Area (LJNA), China, collected in April (dry season) and September (wet season) of 2014 and 2015. In most sampling rivers, total phosphorus, total nitrogen, and fecal coliform exceeded the Class V guideline (GB3838-2002), which could thereby threaten the water quality in Yangtze and Jialing Rivers. FA clearly identified the five groups of water quality variables, which explain majority of the experimental data. Nutritious pollution, seasonal changes, and construction activities were three key factors influencing rivers' water quality in LJNA. CA grouped 19 sampling sites into two clusters, which located at sub-catchments with high- and low-level urbanization, respectively. One-way ANOVA showed the nutrients (total phosphorus, soluble reactive phosphorus, total nitrogen, ammonium nitrogen, and nitrite), fecal coliform, and conductivity in cluster 1 were significantly greater than in cluster 2. Thus, catchment urbanization degraded rivers' water quality in Liangjiang New Area. Identifying effective buffer zones at riparian scale to weaken the negative impacts of catchment urbanization was recommended.
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