Parametric and Non-Parametric Trend of Drought in Arid and Semi-Arid Regions Using RDI Index

Abdol Rassoul Zarei (), Mohammad Mehdi Moghimi and Mohammad Reza Mahmoudi
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Abdol Rassoul Zarei: Fasa University
Mohammad Mehdi Moghimi: Fasa University
Mohammad Reza Mahmoudi: Fasa University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 14, No 31, 5479-5500

Abstract: Abstract Drought is the most damaging environmental phenomenon, especially in arid and semiarid regions where there are considerable issues in regard to water resources management. In this study, trend of changes in drought severity based on the application of Reconnaissance Drought Index (RDI) evaluated (from 1980 to 2010 at 16 synoptic stations). For assessment drought severity, using linear regression, Mann-Kendall and Spearman’s Rho tests at the 5 % significance level, the trends in different time series of RDI (1, 3, 6 and 12 monthly time series) were investigated. According to results: based on linear regression, the Most droughts occurred in monthly (March) and annually time scale (at 37.5 % of stations). Based on Mann-Kendall and Spearman’s Rho tests, the most of droughts occurred in monthly time scale (July), in this month respectively 43.7 and 50 % of stations have significant decreasing trend in RDI index. Results indicated the frequent decreasing trends in RDI time series for short term time series more (one monthly time series) than long term ones. Decreasing trend in RDI time series means the increasing trend in drought severity.

Keywords: RDI; Parametric trend; Non-Parametric trend; Drought; Iran (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11269-016-1501-9

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