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Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed

Author

Listed:
  • Xin Zhang

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

  • Lin Zhou

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

Abstract

Changes in landscape patterns in a river basin play a crucial role in the change on load of non-point source pollution. The spatial distribution of various land use types affects the transmission of non-point source pollutants on the basis of source-sink theory in landscape ecology. Jiulong River basin in southeast of China was selected as the study area in this paper. Aiming to analyze the correlation between changing landscape patterns and load of non-point source pollution in this area, traditional landscape metrics and the improved location-weighted landscape contrast index based on the minimum hydrological response unit (HRULCI) were applied in this study, in combination with remote sensing and geographic information system (GIS) technique. The results of the landscape metrics showed the enhanced fragmentation extent and the decreasing polymerization degree of the overall landscape in the watershed. High values of HRULCI were concentrated in cultivated land, while low HRULCI values mostly appeared in forestland, indicating that cultivated land substantially enhanced non-point source pollution, while forestland inhibited the pollution process.

Suggested Citation

  • Xin Zhang & Lin Zhou & Yuqi Liu, 2018. "Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed," IJERPH, MDPI, vol. 15(8), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:8:p:1593-:d:160279
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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. Mark Torre Jorgenson & Guido Grosse, 2016. "Remote Sensing of Landscape Change in Permafrost Regions," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 27(4), pages 324-338, October.
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    Cited by:

    1. Xinyi Li & Xiong Wang & Xiaoqing Song, 2021. "Impacts of Agricultural Capitalization on Regional Paddy Field Change: A Production-Factor Substitution Perspective," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    2. Zhenghong Zhang & Fu Zhang & Zhengzhong Zhang & Xuhu Wang, 2023. "Study on Water Quality Change Trend and Its Influencing Factors from 2001 to 2021 in Zuli River Basin in the Northwestern Part of the Loess Plateau, China," Sustainability, MDPI, vol. 15(8), pages 1-21, April.

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