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首页> 外文期刊>International journal of hydrology science and technology >Application of L-moment for evaluating drought indices of cumulative precipitation deficit (CPD) and maximum precipitation deficit (MPD) based on regional frequency analysis
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Application of L-moment for evaluating drought indices of cumulative precipitation deficit (CPD) and maximum precipitation deficit (MPD) based on regional frequency analysis

机译：基于区域频率分析的L矩在干旱累积降水量（CPD）和最大降水量（MPD）指标评估中的应用

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摘要

Two indices of cumulative precipitation deficit and maximum precipitation deficit are used for assessing the severity of drought of a certain year such that a regional frequency analysis has been carried out by L-moment. In this paper, 11 synoptic stations in Isfahan province, Iran with a semi-arid environment have been used. Hosking homogeneity test is applied for identifying a homogeneous region and Hosking goodness of fit test is performed for selecting the best regional distribution. According to the two tests, generalised logistic (GL) for the two of the drought indices is selected as the best regional distribution. Therefore, severity of drought with various return periods is estimated for CPD and MPD using GL. The results show that, Ardestan, Naeen and Shargh Isfahan stations have the most severity drought. Using the outcome of this study, drought severity is quantitatively evaluated and the required water volume for agriculture can be determined in this province for surviving drought.
机译：累积降水赤字和最大降水赤字的两个指标用于评估某年干旱的严重程度，以便通过L矩进行区域频率分析。本文使用了半干旱环境的伊朗伊斯法罕省的11个天气观测站。应用Hosking均匀性测试来识别均匀区域，并进行Hosking拟合优度测试以选择最佳区域分布。根据这两项测试，选择了两个干旱指数的广义Logistic（GL）作为最佳区域分布。因此，使用GL估算了CPD和MPD在不同返回期的干旱严重程度。结果表明，Ardestan，Naeen和Shargh Isfahan站的干旱最严重。利用这项研究的结果，可以对干旱的严重程度进行定量评估，并可以确定该省要生存的干旱所需的农业用水量。

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