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Attribution Analysis of Seasonal Runoff in the Source Region of the Yellow River Using Seasonal Budyko Hypothesis

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  • Guangxing Ji

    (College of Resources and Environmental Sciences, Henan Agricultural University, Zhengzhou 450002, China
    Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China)

  • Leying Wu

    (Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education & Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China)

  • Liangdong Wang

    (Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education & Key Research Institute of Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China)

  • Dan Yan

    (Center for Energy, Environment & Economy Research, Zhengzhou University, No. 100 Science Avenue, Gaoxin District, Zhengzhou 450001, China
    Tourism Management School, Zhengzhou University, No. 100 Science Avenue, Gaoxin District, Zhengzhou 450001, China)

  • Zhizhu Lai

    (Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China)

Abstract

Previous studies mainly focused on quantifying the contribution rate of different factors on annual runoff variation in the source region of the Yellow River (SRYR), while there are few studies on the seasonal runoff variation. In this study, the monthly water storage and monthly actual evaporation of SRYR were calculated by the monthly ABCD model, and then a seasonal Budyko frame was constructed. Finally, the contribution rate of climatic and anthropic factors on the seasonal runoff variation in Tangnaihai hydrological station were quantitatively calculated. It turned out that: (1) The changing point of runoff data at Tangnaihai hydrological station is 1989. (2) The ABCD monthly hydrological model could well simulate the monthly runoff variation of Tangnaihai hydrological station. (3) Anthropic factors play a major role in runoff change in spring, summer, and winter, while climatic factors play a major role in runoff change in autumn.

Suggested Citation

  • Guangxing Ji & Leying Wu & Liangdong Wang & Dan Yan & Zhizhu Lai, 2021. "Attribution Analysis of Seasonal Runoff in the Source Region of the Yellow River Using Seasonal Budyko Hypothesis," Land, MDPI, vol. 10(5), pages 1-14, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:542-:d:557968
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    References listed on IDEAS

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    Cited by:

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    2. Shuaijun Yue & Guangxing Ji & Junchang Huang & Mingyue Cheng & Yulong Guo & Weiqiang Chen, 2023. "Quantitative Assessment of the Contribution of Climate and Underlying Surface Change to Multiscale Runoff Variation in the Jinsha River Basin, China," Land, MDPI, vol. 12(8), pages 1-16, August.
    3. Guangxing Ji & Huiyun Song & Hejie Wei & Leying Wu, 2021. "Attribution Analysis of Climate and Anthropic Factors on Runoff and Vegetation Changes in the Source Area of the Yangtze River from 1982 to 2016," Land, MDPI, vol. 10(6), pages 1-13, June.
    4. Cheng Zhang & Chuansen Wu & Zedong Peng & Shengyang Kuai & Shanghong Zhang, 2022. "Synergistic Effects of Changes in Climate and Vegetation on Basin Runoff," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3265-3281, July.
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    6. Mengru Wei & Zhe Yuan & Jijun Xu & Mengqi Shi & Xin Wen, 2022. "Attribution Assessment and Prediction of Runoff Change in the Han River Basin, China," IJERPH, MDPI, vol. 19(4), pages 1-22, February.

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