IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v33y2019i7d10.1007_s11269-019-02250-7.html
   My bibliography  Save this article

Impacts of Hydrological Changes on Annual Runoff Distribution in Seasonally Dry Basins

Author

Listed:
  • Francesco Viola

    (University of Cagliari)

  • X. Feng

    (University of Minnesota)

  • D. Caracciolo

    (Regional Environmental Protection Agency of Sardinia)

Abstract

Runoff is expected to change due to climate and land use change. Because it constitutes a large component of the terrestrial water budget, we need to develop new policies for managing regional water resources. To do so, we must first attribute changes in the natural flow regime to either climate or land use change. In this context, the Budyko’s curve has previously been adopted to separate the impacts of climate and land use change on runoff by using long term hydrological variables. In this study, a framework based on Fu’s equation (which describes Budyko’s curve) is used to separate the impacts of climate and land use change on annual runoff distributions. Specifically, this framework is based on a recently developed method to obtain annual runoff probability density function (pdf) in seasonally dry basins—such as those in Mediterranean regions—from climate statistics and Fu’s equation parameter ω. The effect of climate change is captured through variations in the first order statistics of annual rainfall and potential evapotranspiration, while land use change is represented by changes in Fu’s equation parameter ω. The effects of these two drivers (i.e., climate and land use change) are analyzed by reconstructing the annual runoff pdfs for the current period and for likely future scenarios, based on predictions from global circulation models and urbanization trajectories. The results show that climate change can lead to a strong reduction in mean annual runoff, a shift of the runoff pdf toward lower values, and a decrease in its variance. Concurrent changes in climate and land use almost always result in a reduction in the mean annual runoff, due to the greater impact of climate change on the runoff pdf.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:waterr:v:33:y:2019:i:7:d:10.1007_s11269-019-02250-7
    DOI: 10.1007/s11269-019-02250-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-02250-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11269-019-02250-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    2. Lanie A. Alejo & Arlen S. Alejandro, 2022. "Changes in Irrigation Planning and Development Parameters Due to Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1711-1726, March.
    3. Xiangang Luo & Jianqing Li & Shuang Zhu & Zhanya Xu & Zhibin Huo, 2020. "Estimating the Impacts of Urbanization in the Next 100 years on Spatial Hydrological Response," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1673-1692, March.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.

    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:spr:waterr:v:33:y:2019:i:7:d:10.1007_s11269-019-02250-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.