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Spatial-Temporal Variations of Water Quality and Its Relationship to Land Use and Land Cover in Beijing, China

Author

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  • Xiang Chen

    (State Key laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Rd., Haidian District, Beijing 100085, China
    University of Chinese Academy of Sciences, No.19A Yuquan Rd., Beijing 100049, China)

  • Weiqi Zhou

    (State Key laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Rd., Haidian District, Beijing 100085, China
    University of Chinese Academy of Sciences, No.19A Yuquan Rd., Beijing 100049, China)

  • Steward T. A. Pickett

    (Cary Institute of Ecosystem Studies, Box AB, 2801 Sharon Turnpike, Millbrook, NY 12545, USA)

  • Weifeng Li

    (State Key laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Rd., Haidian District, Beijing 100085, China)

  • Lijian Han

    (State Key laboratory for Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No.18 Shuangqing Rd., Haidian District, Beijing 100085, China)

Abstract

Rapid urbanization with intense land use and land cover (LULC) change and explosive population growth has a great impact on water quality. The relationship between LULC characteristics and water quality provides important information for non-point sources (NPS) pollution management. In this study, we first quantified the spatial-temporal patterns of five water quality variables in four watersheds with different levels of urbanization in Beijing, China. We then examined the effects of LULC on water quality across different scales, using Pearson correlation analysis, redundancy analysis, and multiple regressions. The results showed that water quality was improved over the sampled years but with no significant difference ( p > 0.05). However, water quality was significantly different among nonurban and both exurban and urban sites ( p < 0.05). Forest land was positively correlated with water quality and affected water quality significantly ( p < 0.05) within a 200 m buffer zone. Impervious surfaces, water, and crop land were negatively correlated with water quality. Crop land and impervious surfaces, however, affected water quality significantly ( p < 0.05) for buffer sizes greater than 800 m. Grass land had different effects on water quality with the scales. The results provide important insights into the relationship between LULC and water quality, and thus for controlling NPS pollution in urban areas.

Suggested Citation

  • Xiang Chen & Weiqi Zhou & Steward T. A. Pickett & Weifeng Li & Lijian Han, 2016. "Spatial-Temporal Variations of Water Quality and Its Relationship to Land Use and Land Cover in Beijing, China," IJERPH, MDPI, vol. 13(5), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:5:p:449-:d:69038
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    References listed on IDEAS

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    3. C. J. Vörösmarty & P. B. McIntyre & M. O. Gessner & D. Dudgeon & A. Prusevich & P. Green & S. Glidden & S. E. Bunn & C. A. Sullivan & C. Reidy Liermann & P. M. Davies, 2010. "Global threats to human water security and river biodiversity," Nature, Nature, vol. 467(7315), pages 555-561, September.
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    Cited by:

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    2. Wenjing Bo & Xiaoke Wang & Qianqian Zhang & Yi Xiao & Zhiyun Ouyang, 2017. "Influence of Land Use and Point Source Pollution on Water Quality in a Developed Region: A Case Study in Shunde, China," IJERPH, MDPI, vol. 15(1), pages 1-9, December.
    3. Tianma Yuan & Kiran Kumar Vadde & Jonathan D. Tonkin & Jianjun Wang & Jing Lu & Zimeng Zhang & Yixin Zhang & Alan J. McCarthy & Raju Sekar, 2019. "Urbanization Impacts the Physicochemical Characteristics and Abundance of Fecal Markers and Bacterial Pathogens in Surface Water," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    4. Meichen Ji & Sijia Li & Jiquan Zhang & Hui Di & Fengxu Li & Tianji Feng, 2018. "The Human Health Assessment to Phthalate Acid Esters (PAEs) and Potential Probability Prediction by Chromophoric Dissolved Organic Matter EEM-FRI Fluorescence in Erlong Lake," IJERPH, MDPI, vol. 15(6), pages 1-18, May.
    5. Han-Saem Lee & Su-Jin Lim & Byung-Ran Lim & Hong-Seok Kim & Heung-Soo Lee & Tae-Ung Ahn & Hyun-Sang Shin, 2022. "Spatiotemporal Evaluation of Water Quality and Hazardous Substances in Small Coastal Streams According to Watershed Characteristics," IJERPH, MDPI, vol. 19(2), pages 1-14, January.
    6. Liang Pei & Chunhui Wang & Yiping Zuo & Xiaojie Liu & Yanyan Chi, 2022. "Impacts of Land Use on Surface Water Quality Using Self-Organizing Map in Middle Region of the Yellow River Basin, China," IJERPH, MDPI, vol. 19(17), pages 1-14, September.

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