Volume 23, Issue 2 (Summer 2019)                   jwss 2019, 23(2): 433-446 | Back to browse issues page

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Ekhtiary Khajeh S, Negahban F, Dinpashoh Y. Comparing Univariate and Multivariate Indices in Drought Monitoring. jwss 2019; 23 (2) :433-446
URL: http://jstnar.iut.ac.ir/article-1-3647-en.html
1. Department of Water Resource Engineering, Agriculture Faculty, Tabriz University, Tabriz, Iran. , Shiva.ekhtiary@gmail.com
Abstract:   (4906 Views)
In this study, drought characteristics of Arak, Bandar Anzali, Tabriz, Tehran, Rasht, Zahedan, Shiraz and Kerman stations during the statistical period of 1956 to 2015 were studied by Reconnaissance Drought Index (RDI) and Standardized Precipitation Index. Precipitation and temperature data were needed to calculate RDI. Precipitation data was also required to estimate SPI. In this study, Drinc software was used to calculate RDI, SPI and potential evapotranspiration (PET). The software calculated PET by the Thornthwaite method. One of the main challenges in drought monitoring is to determine the indicator that has a high reliability based on its monitoring purpose. Therefore, in this research, two methods used for selecting the appropriate index based on the minimum rainfall and normal distribution were evaluated. The results of the evaluation of the minimum rainfall method for selecting the appropriate index showed that most drought indices with the occurrence of minimum rainfall level indicated severe or very severe drought situations; in most cases, it could not lead to selecting an exact and unique index. Based on the results of the normal distribution method for the stations of Arak, Tabriz, Rasht, Zahedan, Shiraz and Kerman, SPI index, and for the stations of Bandar Anzali and Tehran, RDI index were selected as the most appropriate ones.
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Type of Study: Research | Subject: Ggeneral
Received: 2018/01/17 | Accepted: 2018/09/30 | Published: 2019/09/1

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