IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i5p542-d557968.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/5/542/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/5/542/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guangxing Ji & Zhizhu Lai & Haibin Xia & Hao Liu & Zheng Wang, 2021. "Future Runoff Variation and Flood Disaster Prediction of the Yellow River Basin Based on CA-Markov and SWAT," Land, MDPI, vol. 10(4), pages 1-19, April.
    2. P. C. D. Milly & K. A. Dunne & A. V. Vecchia, 2005. "Global pattern of trends in streamflow and water availability in a changing climate," Nature, Nature, vol. 438(7066), pages 347-350, November.
    3. Li Gong & Chunling Jin, 2009. "Fuzzy Comprehensive Evaluation for Carrying Capacity of Regional Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2505-2513, September.
    4. Shannon M. Sterling & Agnès Ducharne & Jan Polcher, 2013. "The impact of global land-cover change on the terrestrial water cycle," Nature Climate Change, Nature, vol. 3(4), pages 385-390, April.
    5. Domenico Caracciolo & D. Pumo & F. Viola, 2018. "Budyko’s Based Method for Annual Runoff Characterization across Different Climatic Areas: an Application to United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3189-3202, July.
    6. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huan Wang & Chao Zhang & Li Li & Wenju Yun & Jiani Ma & Lulu Gao, 2021. "Delimitating the Ecological Spaces for Water Conservation Services in Jilin Province of China," Land, MDPI, vol. 10(10), pages 1-17, September.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Shuaijun Yue & Junchang Huang & Yali Zhang & Weiqiang Chen & Yulong Guo & Mingyue Cheng & Guangxing Ji, 2023. "Quantitative Evaluation of the Impact of Vegetation Restoration and Climate Variation on Runoff Attenuation in the Luan River Basin Based on the Extended Budyko Model," Land, MDPI, vol. 12(8), pages 1-14, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Guangxing Ji & Junchang Huang & Yulong Guo & Dan Yan, 2022. "Quantitatively Calculating the Contribution of Vegetation Variation to Runoff in the Middle Reaches of Yellow River Using an Adjusted Budyko Formula," Land, MDPI, vol. 11(4), pages 1-12, April.
    4. Nekruz Gulahmadov & Yaning Chen & Aminjon Gulakhmadov & Moldir Rakhimova & Manuchekhr Gulakhmadov, 2021. "Quantifying the Relative Contribution of Climate Change and Anthropogenic Activities on Runoff Variations in the Central Part of Tajikistan in Central Asia," Land, MDPI, vol. 10(5), pages 1-29, May.
    5. Xiang Li & Dongqin Yin & Xuejun Zhang & Barry F.W. Croke & Danhong Guo & Jiahong Liu & Anthony J. Jakeman & Ruirui Zhu & Li Zhang & Xiangpeng Mu & Fengran Xu & Qian Wang, 2019. "Mapping the Distribution of Water Resource Security in the Beijing-Tianjin-Hebei Region at the County Level under a Changing Context," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    6. ChaoJun Gu & Yongqing Zhu & Renhua Li & He Yao & Xingmin Mu, 2021. "Effects of different soil and water conservation measures on hydrological extremes and flood processes in the Yanhe River, Loess Plateau, China," 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. 109(1), pages 545-566, October.
    7. Lai, Chengguang & Chen, Xiaohong & Zhong, Ruida & Wang, Zhaoli, 2022. "Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change," Agricultural Water Management, Elsevier, vol. 259(C).
    8. Qingqing Li & Yanping Cao & Shuling Miao & Xinhe Huang, 2022. "Spatiotemporal Characteristics of Drought and Wet Events and Their Impacts on Agriculture in the Yellow River Basin," Land, MDPI, vol. 11(4), pages 1-20, April.
    9. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    10. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    11. Bu, Lingduo & Chen, Xinping & Li, Shiqing & Liu, Jianliang & Zhu, Lin & Luo, Shasha & Lee Hill, Robert & Zhao, Ying, 2015. "The effect of adapting cultivars on the water use efficiency of dryland maize (Zea mays L.) in northwestern China," Agricultural Water Management, Elsevier, vol. 148(C), pages 1-9.
    12. Wenfeng Chi & Yuanyuan Zhao & Wenhui Kuang & Tao Pan & Tu Ba & Jinshen Zhao & Liang Jin & Sisi Wang, 2021. "Impact of Cropland Evolution on Soil Wind Erosion in Inner Mongolia of China," Land, MDPI, vol. 10(6), pages 1-16, June.
    13. John Quiggin, 2010. "Agriculture and global climate stabilization: a public good analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 41(s1), pages 121-132, November.
    14. Xu, Ying & Findlay, Christopher, 2019. "Farmers’ constraints, governmental support and climate change adaptation: Evidence from Guangdong Province, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    15. Zhongen Niu & Huimin Yan & Fang Liu, 2020. "Decreasing Cropping Intensity Dominated the Negative Trend of Cropland Productivity in Southern China in 2000–2015," Sustainability, MDPI, vol. 12(23), pages 1-14, December.
    16. Francesco Viola & X. Feng & D. Caracciolo, 2019. "Impacts of Hydrological Changes on Annual Runoff Distribution in Seasonally Dry Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2319-2333, May.
    17. Siyu Gao & Haixiang Guo & Jing Yu, 2021. "Urban Water Inclusive Sustainability: Evidence from 38 Cities in the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 13(4), pages 1-32, February.
    18. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    19. Alvaro Calzadilla & Katrin Rehdanz & Richard Betts & Pete Falloon & Andy Wiltshire & Richard Tol, 2013. "Climate change impacts on global agriculture," Climatic Change, Springer, vol. 120(1), pages 357-374, September.
    20. Andrew John & Avril Horne & Rory Nathan & Michael Stewardson & J. Angus Webb & Jun Wang & N. LeRoy Poff, 2021. "Climate change and freshwater ecology: Hydrological and ecological methods of comparable complexity are needed to predict risk," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 12(2), March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:542-:d:557968. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.