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Impacts of Climate Change and Human Activity on the Runoff Changes in the Guishui River Basin

Author

Listed:
  • Meilin Wang

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

  • Yaqi Shao

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

  • Qun’ou Jiang

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
    Key Laboratory of Soil and Water Conservation and Desertification Prevention, Beijing Forestry University, Beijing 100083, China
    Jinyun Forest Ecosystem Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China)

  • Ling Xiao

    (School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
    Key Laboratory of Soil and Water Conservation and Desertification Prevention, Beijing Forestry University, Beijing 100083, China)

  • Haiming Yan

    (School of Land Resources and Urban & Rural Planning, Digital Territory Experiment Center, Hebei GEO University, Shijiazhuang 050031, China)

  • Xiaowei Gao

    (Beijing Institute of Water, Beijing 100048, China)

  • Lijun Wang

    (Beijing Institute of Water, Beijing 100048, China)

  • Peibin Liu

    (Beijing Institute of Water, Beijing 100048, China)

Abstract

Guishui River Basin in northwestern Beijing has ecological significance and will be one of the venues of the upcoming Beijing Winter Olympic Games in 2022. However, accelerating climate change and human disturbance in recent decades has posed an increasing challenge to the sustainable use of water in the basin. This study simulated the runoff of the Guishui River Basin using the Soil and Water Assessment Tool (SWAT) model to reveal the spatio-temporal variations of runoff in the basin and the impacts of climate change and human activities on the runoff changes. The results showed that annual runoff from 2004 to 2018 was relatively small, with an uneven intra-annual runoff distribution. The seasonal trends in runoff showed a decreasing trend in spring and winter while an increasing trend in summer and autumn. There was a first increasing and then decreasing trend of average annual runoff depth from northwest to southeast in the study area. In addition, the contributions of climate change and human activities to changes in runoff of the Guishui River Basin were 60% and 40%, respectively, but with opposite effects. The results can contribute to the rational utilization of water resources in the Guishui River Basin.

Suggested Citation

  • Meilin Wang & Yaqi Shao & Qun’ou Jiang & Ling Xiao & Haiming Yan & Xiaowei Gao & Lijun Wang & Peibin Liu, 2020. "Impacts of Climate Change and Human Activity on the Runoff Changes in the Guishui River Basin," Land, MDPI, vol. 9(9), pages 1-20, August.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:9:p:291-:d:402839
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    References listed on IDEAS

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    1. Xiangzheng Deng & Fan Zhang & Zhan Wang & Xing Li & Tao Zhang, 2014. "An Extended Input Output Table Compiled for Analyzing Water Demand and Consumption at County Level in China," Sustainability, MDPI, vol. 6(6), pages 1-20, May.
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    3. Angshuman M. Saharia & Arup Kumar Sarma, 2018. "Future climate change impact evaluation on hydrologic processes in the Bharalu and Basistha basins using SWAT model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1463-1488, July.
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    Cited by:

    1. Omidreza Mikaeili & Mojtaba Shourian, 2023. "Assessment of the Analytic and Hydrologic Methods in Separation of Watershed Response to Climate and Land Use Changes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2575-2591, May.
    2. Ling Xiao & Li Cui & Qun’ou Jiang & Meilin Wang & Lidan Xu & Haiming Yan, 2020. "Spatial Structure of a Potential Ecological Network in Nanping, China, Based on Ecosystem Service Functions," Land, MDPI, vol. 9(10), pages 1-18, October.

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