Abstract

The aim of this research is compare between nine drought indices and evaluate their performance with respect to predict and monitoring drought over Middle Euphrates region during period from 1988 to 2017.These indices are RDI, Normal SPI, Gamma SPI, Log SPI, CZI, MCZI, RAI, PN, and DI.Season and annual time scale were used to calculate all indices at Dewaniya, Hilla, Karbala, Najaf, and Semawa stations. The Pearson correlation coefficient between nine drought indices were analyzed. Annual and seasonal results illustrated that the maximum value of correlation between RDI and the other indices was noted with Gamma SPI and Log SPI at all stations. In annual time scale, the correlation coefficient reached to (0.99) at all stations except Hilla station, where it reached to (0.98), while in seasonal time scale the correlation coefficient reached to (0.98) at all stations. The RDI, Gamma SPI and Log SPI indices have similarity of classes and frequencies for drought. They also have similarity of frequencies for wet but there are minimum differences between wet classes compared to other indices. The RDI, Gamma SPI and Log SPI are good indices to predict and monitoring drought in study area in comparison to other indices which mentioned above.

Highlights

  • The aim of this research is compare between nine drought indices and evaluate their performance with respect to predict and monitoring drought over Middle Euphrates region during period from 1988 to 2017.These indices are Reconnaissance Drought Index (RDI), Normal Standardized Precipitation Index (SPI), Gamma SPI, Log SPI, China-Z index (CZI), modified CZI (MCZI), Rainfall anomaly index (RAI), precipitation Index (PN), and Deciles Index (DI).Season and annual time scale were used to calculate all indices at Dewaniya, Hilla, Karbala, Najaf, and Semawa stations

  • UNDP (2008) characterizes dry spell as wonder that happens normally when precipitation is underneath normally recorded dimensions, causing genuine hydrological disturbances that contrarily impact on Earth asset creation frameworks (Babu, 2016)

  • This research focused on comparison between known nine meteorological drought indices (RDI, Gamma SPI, Log SPI,Normal SPI,CZI, MCZI, RAI, PN, DI) over five stations of middle Euphrates region during period 1988 to 2017.These stations are Dewaniya,Hilla,Karbala,Najaf,and Semawa

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Summary

Introduction

The aim of this research is compare between nine drought indices and evaluate their performance with respect to predict and monitoring drought over Middle Euphrates region during period from 1988 to 2017.These indices are RDI, Normal SPI, Gamma SPI, Log SPI, CZI, MCZI, RAI, PN, and DI.Season and annual time scale were used to calculate all indices at Dewaniya, Hilla, Karbala, Najaf, and Semawa stations. Usage of dry season files is important for watching and anticipating dry season These files empower to assess dry spell peril. The dry season checking framework is affected by an exact decision of lists for dry spell location, giving target depiction of dry spell conditions In this way, it is basic the appropriateness of various dry season lists be evaluated and the best record be chosen (Eshghabad et al, 2014). It is basic the appropriateness of various dry season lists be evaluated and the best record be chosen (Eshghabad et al, 2014) In this exploration, nine meteorological dry spell lists were utilized, to be specific the RDI List, Typical SPI list, Log SPI record, Gamma SPI list, CZI list, MCZI file, RAI list, PN List and DI file.

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