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Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales

Author

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  • Xin Zhang

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Yuqi Liu

    (State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lin Zhou

    (College of Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China)

Abstract

Non-point source pollution is the main factor causing water quality deterioration. Landscape patterns affect the transmission of non-point source pollutants. Many studies have been carried out to analyze the correlation between landscape patterns and water quality, while most former studies neglected the scale effect. The Jiulong River basin in southeast China was selected as the study area. Based on a landscape cover map generated from satellite images, we determined the riparian buffer zones with different widths, set the catchment as the complementary scale, and then established the multiple linear regression models to explore the relationship between landscape metrics and water quality indices at different scales. The degree of significance of the effect of various landscape metrics on the water quality at different scales was quantitatively analyzed in this paper by using multiple linear regression analysis. The results showed that not only the impact of landscape metrics but also the influence of land cover type on the water quality indices would vary when the spatial scale changed. The credible regression models established in this study can help regional managers understand the correlation between landscape and water quality, and the regression results can be used for land use allocation in a watershed.

Suggested Citation

  • Xin Zhang & Yuqi Liu & Lin Zhou, 2018. "Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales," IJERPH, MDPI, vol. 15(8), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1606-:d:160584
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    References listed on IDEAS

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    1. Madan Jha & Alivia Chowdhury & V. Chowdary & Stefan Peiffer, 2007. "Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(2), pages 427-467, February.
    2. Li, Yi & Li, Yangfan & Qureshi, Salman & Kappas, Martin & Hubacek, Klaus, 2015. "On the relationship between landscape ecological patterns and water quality across gradient zones of rapid urbanization in coastal China," Ecological Modelling, Elsevier, vol. 318(C), pages 100-108.
    3. Bahman Amiri & Kaneyuki Nakane, 2009. "Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 931-956, March.
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    Cited by:

    1. Mehdi Aalipour & Naicheng Wu & Nicola Fohrer & Yusef Kianpoor Kalkhajeh & Bahman Jabbarian Amiri, 2023. "Examining the Influence of Landscape Patch Shapes on River Water Quality," Land, MDPI, vol. 12(5), pages 1-15, May.
    2. Xuewen Liang & Yue Pan & Cunwu Li & Weixiong Wu & Xusheng Huang, 2023. "Evaluating the Influence of Land Use and Landscape Pattern on the Spatial Pattern of Water Quality in the Pearl River Basin," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
    3. Xin Zhang & Qiong Zheng & Lin Zhou & Jiawei Wei, 2018. "Nonpoint Pollution Source-Sink Landscape Pattern Change Analysis in a Coastal River Basin in Southeast China," IJERPH, MDPI, vol. 15(10), pages 1-20, September.

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