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Impact of Urbanization-Driven Land Use Changes on Runoff in the Upstream Mountainous Basin of Baiyangdian, China: A Multi-Scenario Simulation Study

Author

Listed:
  • Yuan Gong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xin Geng

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ping Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Shi Hu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xunming Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Urbanization in the Haihe River Basin in northern China, particularly the upstream mountainous basin of Baiyangdian, has significantly altered land use and runoff processes. The runoff is a key water source for downstream areas like Baiyangdian and the Xiong’an New Area, making it essential to understand these changes’ implications for water security. However, the exact implications of these processes remain unclear. To address this gap, a simulation framework combining SWAT+ and CLUE-S was used to analyze runoff responses under different land use scenarios: natural development (ND), farmland protection (FP), and ecological protection (EP). The model simulation results were good, with NSE above 0.7 for SWAT+. The Kappa coefficient for CLUE-S model validation was 0.83. The further study found that from 2005 to 2015, urban construction land increased by 11.50 km 2 per year, leading to a 0.5–1.3 mm rise in annual runoff. Although urban expansion continued, the other scenarios, which emphasized farmland and forest preservation, slowed this growth. Monthly runoff changes were most significant during the rainy season, with annual runoff in ND, FP, and EP varying by 8.9%, 10.9%, and 7.7%, respectively. While the differences in annual runoff between scenarios were not dramatic, these findings provide a theoretical foundation for future water resource planning and management in the upstream mountainous area of Baiyangdian and offer valuable insights for the sustainable development of Xiong’an New Area. Additionally, these results contribute to the broader field of hydrology by highlighting the importance of considering multiple land use scenarios in runoff change analysis.

Suggested Citation

  • Yuan Gong & Xin Geng & Ping Wang & Shi Hu & Xunming Wang, 2024. "Impact of Urbanization-Driven Land Use Changes on Runoff in the Upstream Mountainous Basin of Baiyangdian, China: A Multi-Scenario Simulation Study," Land, MDPI, vol. 13(9), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:9:p:1374-:d:1465451
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    References listed on IDEAS

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    1. N. M. Sabitha & Santosh G. Thampi & D. Sathish Kumar, 2023. "Application of a Distributed Hydrologic Model to Assess the Impact of Climate and Land-use Change on Surface Runoff from a Small Urbanizing Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2347-2368, May.
    2. Kuaile Feng & Jianzhong Zhou & Yi Liu & Chengwei Lu & Zhongzheng He, 2019. "Hydrological Uncertainty Processor (HUP) with Estimation of the Marginal Distribution by a Gaussian Mixture Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 2975-2990, July.
    3. Wang, Wei & Wu, Xiaohong & Yin, Chunmei & Xie, Xiaoli, 2019. "Nutrition loss through surface runoff from slope lands and its implications for agricultural management," Agricultural Water Management, Elsevier, vol. 212(C), pages 226-231.
    4. Sabita Shrestha & Shenghui Cui & Lilai Xu & Lihong Wang & Bikram Manandhar & Shengping Ding, 2021. "Impact of Land Use Change Due to Urbanisation on Surface Runoff Using GIS-Based SCS–CN Method: A Case Study of Xiamen City, China," Land, MDPI, vol. 10(8), pages 1-18, August.
    5. Shanshan Wen & Buda Su & Yanjun Wang & Jianqing Zhai & Hemin Sun & Ziyan Chen & Jinlong Huang & Anqian Wang & Tong Jiang, 2020. "Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China," Climatic Change, Springer, vol. 163(3), pages 1207-1226, December.
    6. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Author Correction: Global land change from 1982 to 2016," Nature, Nature, vol. 563(7732), pages 26-26, November.
    7. Celray James Chawanda & Jeffrey Arnold & Wim Thiery & Ann Griensven, 2020. "Mass balance calibration and reservoir representations for large-scale hydrological impact studies using SWAT+," Climatic Change, Springer, vol. 163(3), pages 1307-1327, December.
    8. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    9. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    10. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2018. "Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 564(7735), pages 249-253, December.
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