ArticleInternational journal of environmental research and public health2018
The Impacts of Spatiotemporal Landscape Changes on Water Quality in Shenzhen, China.
Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Transcriptionally active ammonia-oxidizing nitrifiers in a surface flow constructed wetland.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026Article
- Response of river water quality to landscape features in a subtropical hilly region.Scientific reports · 2025Article
- Modeling solutions for microbial water contamination in the global south for public health protection.Frontiers in microbiology · 2025Review
- Characterizing landscape fragmentation of Koitobos river sub-basin, Trans-Nzoia, Kenya.Heliyon · 2024Article
- Eukaryotic communities in coastal water from Shenzhen in South China.Ecotoxicology (London, England) · 2021Article
- High-throughput sequencing reveals the spatial distribution variability of microbial community in coastal waters in Shenzhen.Ecotoxicology (London, England) · 2021Article
- Hydrochemical Analysis and Fuzzy Logic Method for Evaluation of Groundwater Quality in the North Chengdu Plain, China.International journal of environmental research and public health · 2019Article
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Authors and funding
2 authors.
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Abstract
The urban landscape in China has changed rapidly over the past four decades, which has led to various environmental consequences, such as water quality degradation at the regional scale. To improve water restoration strategies and policies, this study assessed the relationship between water quality and landscape change in Shenzhen, China, using panel regression analysis. The results show that decreases in natural and semi-natural landscape compositions have had significant negative effects on water quality. Landscape composition and configuration changes accounted for 39⁻58% of the variation in regional water quality degradation. Additionally, landscape fragmentation indices, such as patch density (PD) and the number of patches (NP), are important indicators of the drivers of water quality degradation. PD accounted for 2.03⁻5.44% of the variability in water quality, while NP accounted for -1.63% to -4.98% of the variability. These results indicate that reducing landscape fragmentation and enhancing natural landscape composition at the watershed scale are vital to improving regional water quality. The study findings suggest that urban landscape optimization is a promising strategy for mitigating urban water quality degradation, and the results can be used in policy making for the sustainable development of the hydrological environment in rapidly urbanizing areas.
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