Document Type : Research Paper
Authors
1 PhD Graduated in Watershed management engineering
2 Department of Drought & Climate change, Soil Conservation & Watershed Management Research Institute (SCWMRI)
3 3. Department of Forest, Range and Watershed Management, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University
4 Assistant professor, Watershed management Department, SRIAU
Abstract
The drought is one of the climatological phenomena which affects vast majority of Iran including Fars Province in terms of metrological, hydrological, agricultural and socio-economical aspects. In order to monitor the drought, temperature, precipitation and evaporation data of 113 meteorological stations during the statistical period (1966-2016) were used. After collecting the data using run test, double mass and Kolmogorov-Smirnov tests, the results of randomness, homogeneity and normality of the data showed that annual rainfall data of most selected stations are normal, homogeneous and random. Drought was then monitored using 9 drought indicators including SPEI, SIAP, DI, SPI, PN, MCZI, CZI, RDI and ZSI. Evaluation of different indices also showed that SPEI index has the lowest difference between different drought classes compared to other indices based on the normal distribution method. According to the cross-correlation method, ZSI index has the highest correlation and similarity with SPI index. Also, the minimum rainfall method showed that all indicators in the years of minimum rainfall show very severe and severe drought classes and this method cannot be a criterion for selecting the appropriate drought index. Also, the minimum rainfall method showed that all indicators in the years of minimum rainfall show very severe and severe drought classes and this method cannot be a criterion for selecting the appropriate drought index.
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