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Hydrological Responses to Climate and Land Use Changes in a Watershed of the Loess Plateau, China

Author

Listed:
  • Rui Yan

    (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
    Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Yanpeng Cai

    (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
    Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Beijing Engineering Research Center for Watershed Environmental Restoration and Integrated Ecological Regulation, Beijing Normal University, Beijing 100875, China)

  • Chunhui Li

    (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
    Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Xuan Wang

    (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
    Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Qiang Liu

    (State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China
    Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China)

Abstract

This study researched the individual and combined impacts of future LULC and climate changes on water balance in the upper reaches of the Beiluo River basin on the Loess Plateau of China, using the scenarios of RCP4.5 and 8.5 of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). The climate data indicated that both precipitation and temperature increased at seasonal and annual scales from 2020 to 2050 under RCP4.5 and 8.5 scenarios. The future land use changes were predicted through the CA-Markov model. The land use predictions of 2025, 2035, and 2045 indicated rising forest areas with decreased agricultural land and grassland. In this study, three scenarios including only LULC change, only climate change, and combined climate and LULC change were established. The SWAT model was calibrated, validated, and used to simulate the water balance under the three scenarios. The results showed that increased rainfall and temperature may lead to increased runoff, water yield, and ET in spring, summer, and autumn and to decreased runoff, water yield, and ET in winter from 2020 to 2050. However, LULC change, compared with climate change, may have a smaller impact on the water balance. On an annual scale, runoff and water yield may gradually decrease, but ET may increase. The combined effects of both LULC and climate changes on water balance in the future were similar to the variation trend of climate changes alone at both annual and seasonal scales. The results obtained in this study provide further insight into the availability of future streamflow and can aid in water resource management planning in the study area.

Suggested Citation

  • Rui Yan & Yanpeng Cai & Chunhui Li & Xuan Wang & Qiang Liu, 2019. "Hydrological Responses to Climate and Land Use Changes in a Watershed of the Loess Plateau, China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1443-:d:212220
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    References listed on IDEAS

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    1. Junyu Qi & Sheng Li & Qi Yang & Zisheng Xing & Fan-Rui Meng, 2017. "SWAT Setup with Long-Term Detailed Landuse and Management Records and Modification for a Micro-Watershed Influenced by Freeze-Thaw Cycles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3953-3974, September.
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    Cited by:

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    2. Hu, Kejia & Tan, Qian & Zhang, Tianyuan & Wang, Shuping, 2020. "Assessing technology portfolios of clean energy-driven desalination-irrigation systems with interval-valued intuitionistic fuzzy sets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Gebdang B. Ruben & Ke Zhang & Zengchuan Dong & Jun Xia, 2020. "Analysis and Projection of Land-Use/Land-Cover Dynamics through Scenario-Based Simulations Using the CA-Markov Model: A Case Study in Guanting Reservoir Basin, China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    4. Satiprasad Sahoo & Anirban Dhar & Anupam Debsarkar & Biswajeet Pradhan & Abdullah M. Alamri, 2020. "Future Water Use Planning by Water Evaluation and Planning System Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4649-4664, December.
    5. Zahra Emlaei & Sharareh Pourebrahim & Hamidreza Heidari & Khai Ern Lee, 2022. "The Impact of Climate Change as Well as Land-Use and Land-Cover Changes on Water Yield Services in Haraz Basin," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
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    7. Jiayue Wang & Liangjie Xin & Xue Wang & Min Jiang, 2022. "The Impact of Climate Change and Grain Planting Structure Change on Irrigation Water Requirement for Main Grain Crops in Mainland China," Land, MDPI, vol. 11(12), pages 1-22, November.

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