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Budyko’s Based Method for Annual Runoff Characterization across Different Climatic Areas: an Application to United States

Author

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  • Domenico Caracciolo

    (Università di Cagliari
    Regional Environmental Protection Agency of Sardinia (ARPAS))

  • D. Pumo

    (Università di Palermo)

  • F. Viola

    (Università di Cagliari)

Abstract

Runoff data knowledge is of fundamental importance for a wide range of hydrological, ecological, and socioeconomic applications. The reconstruction of annual runoff is a fundamental task for several activities related to water resources management, especially for ungauged basins. At catchment scales, the Budyko’s framework provides an extremely useful and, in some cases, accurate estimation of the long-term partitioning of precipitation into evapotranspiration and runoff as a function of the prevailing climatic conditions. Recently the same long-term partitioning rules have been successfully used to describe water partitioning also at the annual scale and calculate the annual runoff distribution within a simple analytic framework in arid and semi-arid basins. One of the main advantages of the latter method is that only annual precipitation and potential evapotranspiration statistics, and the Fu’s equation parameter ω are required to obtain the annual runoff probability distribution. The aim of this study is to test the limit and potentialities of the aforementioned method under different climatic conditions. To this aim, the model is applied to more than four hundred basins located in the United States. Catchments were grouped into five different samples, following the subdivision of the continental region in five homogeneous climatic zones according to Köppen-Geiger classification. The theoretical probability distribution of annual runoff at each basin has been compared with that derived from historical observations. The results confirm the capability of the tested technique to reproduce the empirical annual runoff distributions with similar and satisfactory performances across different areas, revealing a good option also in cases characterized by climate and hydrological conditions very different from those hypothesized during the original analytical model design, thus extending the geographical and conceptual limits of applicability of the framework.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:9:d:10.1007_s11269-018-1984-7
    DOI: 10.1007/s11269-018-1984-7
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    1. 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.
    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. Shuai Li & Tao Du & Christopher James Gippel, 2022. "A Modified Fu (1981) Equation with a Time-varying Parameter that Improves Estimates of Inter-annual Variability in Catchment Water Balance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1645-1659, March.
    4. 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.
    5. 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.
    6. Arash Malekian & Bahram Choubin & Junguo Liu & Farzaneh Sajedi-Hosseini, 2019. "Development of a New Integrated Framework for Improved Rainfall-Runoff Modeling under Climate Variability and Human Activities," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2501-2515, May.

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