• Login
    View Item 
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    •   DSpace Home
    • ASCE
    • Journal of Hydrologic Engineering
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Copula-Based Risk Analysis of Agricultural Water Shortage under Natural Precipitation Conditions in the Guanzhong Plain, a Drought-Prone Region of China

    Thumbnail
    View/Open
    %28ASCE%29HE.1943-5584.0002084.pdf (1.864Mb)
    Date
    6/1/2021
    Author
    Lu Zhao
    Ningbo Cui
    Jing Guan
    Pu Du
    Yaling Zhang
    Shouzheng Jiang
    Metadata
    Show full item record
    Abstract
    Accurate risk forecasting of agricultural water shortages has important implications for the prevention and reduction of disasters in regional agricultural production. Encountering effective precipitation (Pe) and crop water requirements (ETc) can determine the regional agricultural water shortage risk under natural precipitation supply conditions. The Guanzhong Plain (GP) of China, divided into the Eastern Guanzhong Plain (EGP) and the Western Guanzhong Plain (WGP), is sensitive to water shortage due to the local semihumid and drought-prone climate. Based on the daily meteorological data at six representative weather stations in the GP from 1962 to 2016, Pe and ETc (marked as Pey, Pew, and Pes, and ETcy, ETcw, and ETcs over a hydrological year, winter wheat growth period, and summer maize growth period, respectively) were computed, and copula functions were employed to model the joint distribution of Pe and ETc. The results showed that the mean values of Pey, Pew, and Pes (533, 245, and 287 mm) in the EGP were smaller than those of Pey, Pew, and Pes (599, 274, and 325 mm) in the WGP. However, the mean values of ETcy, ETcw, and ETcs (997, 494, and 502 mm) in the EGP were greater than those of ETcy, ETcw, and ETcs (895, 417, and 477 mm) in the WGP. The Frank copula was identified as the most suitable model for the joint modeling of Pe and ETc series. According to the joint probability distribution, the asynchronous encounter probability of Pe and ETc was around three or fourfold of the synchronous encounter probability in the GP. The occurrence probabilities of severe and extreme agricultural water shortage under natural precipitation supply condition were 0.24–0.27 and 0.04–0.06 in the EGP, while the corresponding values were 0.20–0.23 and 0.03–0.04 in the WGP. This study proved that natural precipitation could not meet crop water demand, and the joint encounter probability of low effective precipitation and high crop water demand was high, so irrigation and optimum agricultural water resource allocation are thus necessary for agricultural production in the semihumid and drought-prone region.
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4271599
    Collections
    • Journal of Hydrologic Engineering

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV