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An advanced data collection procedure in bivariate drought frequency analysis
Hydrological Processes ( IF 3.2 ) Pub Date : 2020-08-03 , DOI: 10.1002/hyp.13866
Babak Amirataee 1 , Majid Montaseri 1 , Hossein Rezaie 1
Affiliation  

In recent years, the bivariate frequency analysis of drought duration and severity using independent drought events and copula functions has been under extensive application. Meanwhile, emphasis on the procedure of independent drought data collection leads to the omission of the actual potential of short‐term extreme droughts within a long‐term independent drought. However, a long‐term individual continuous drought as an Unconnected Drought Runs can be considered as a combination of short‐term Connected Drought Runs. Thus, an advanced and new procedure of data collection in the bivariate drought characteristics analysis has been developed in this study. The results indicated a high relative advantage of the new proposed procedure in analysing bivariate drought characteristics (i.e., drought duration and severity frequency analysis). This advantage has been reflected in the more appropriate determination of the best copula and significant reduction in the uncertainty of bivariate drought frequency analysis.

中文翻译:

双变量干旱频率分析中的高级数据收集程序

近年来,利用独立的干旱事件和copula函数对干旱持续时间和严重程度进行双变量频率分析已得到广泛应用。同时,对独立干旱数据收集程序的重视导致长期独立干旱中短期极端干旱的实际潜力被忽略。但是,长期的连续干旱作为非关联干旱运行可以被视为短期关联干旱运行的组合。因此,本研究开发了一种在双变量干旱特征分析中收集数据的先进新方法。结果表明,该新程序在分析双变量干旱特征(即干旱持续时间和严重程度频率分析)方面具有较高的相对优势。
更新日期:2020-08-03
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