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    Water Surplus Variability Index as an Indicator of Drought

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 002
    Author:
    Milan Gocic
    ,
    Slavisa Trajkovic
    DOI: 10.1061/(ASCE)HE.1943-5584.0001008
    Publisher: American Society of Civil Engineers
    Abstract: Drought assessment requires considering not only precipitation but also the other meteorological parameters such as an evapotranspiration. This paper presents the water surplus variability index (WSVI) as an indicator of drought. The calculation procedure incorporates both precipitation and reference evapotranspiration through the estimation of water surplus at different timescales. The WSVI is compared with the standardized precipitation index (SPI) and the reconnaissance drought index (RDI) based on 1-month, 3-month, 6-month, and 12-month timescales using data from four weather stations located in humid and subhumid climate. To approve the proposed procedure, the graphical and statistical tools such as the scatter plots, the linear trend, the coefficient of determination
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      Water Surplus Variability Index as an Indicator of Drought

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    http://yetl.yabesh.ir/yetl1/handle/yetl/71389
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    contributor authorMilan Gocic
    contributor authorSlavisa Trajkovic
    date accessioned2017-05-08T22:06:10Z
    date available2017-05-08T22:06:10Z
    date copyrightFebruary 2015
    date issued2015
    identifier other28119338.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/71389
    description abstractDrought assessment requires considering not only precipitation but also the other meteorological parameters such as an evapotranspiration. This paper presents the water surplus variability index (WSVI) as an indicator of drought. The calculation procedure incorporates both precipitation and reference evapotranspiration through the estimation of water surplus at different timescales. The WSVI is compared with the standardized precipitation index (SPI) and the reconnaissance drought index (RDI) based on 1-month, 3-month, 6-month, and 12-month timescales using data from four weather stations located in humid and subhumid climate. To approve the proposed procedure, the graphical and statistical tools such as the scatter plots, the linear trend, the coefficient of determination
    publisherAmerican Society of Civil Engineers
    titleWater Surplus Variability Index as an Indicator of Drought
    typeJournal Paper
    journal volume20
    journal issue2
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001008
    treeJournal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 002
    contenttypeFulltext
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