LAUSR

Drought is one of the natural hazards affecting all activities of living things. High and low droughts occur in different parts of the country, and their effects are more noticeable in arid and semiarid regions. One of these areas is the south-west of Iran. The purpose of this study is drought modelling and analysis in the south-west of Iran. To do this, climatic parameters were first used, including precipitation, temperature, sunshine, relative humidity and wind speed in the period of 32 years (1987–2018) at 15 stations in the south-west of Iran. For modelling the TIBI fuzzy index, at first, four indices (SET, SPI, SEB and MCZI) were fuzzy in MATLAB software, and then the indices were compared and finally SAW multivariate decision-making model was used to prioritize areas affected by drought. The results of this study showed that the highest frequency of drought at 6- and 12-month scale occurred in Islamabad Gharb station and the lowest frequency was in Hamedan airport station. The T.I.B.I index accurately reflects the four indicators: SET, SPI, SEB and MCZI. Based on the modelling, T.I.B.I fuzzy index showed relative superiority to the SPEI fuzzy index. Finally, according to the SAW multivariate decision-making method, the Islamabad Gharb station with a score of 1 was more prone to drought occurrence.