ASSESSMENT OF DROUGHT PROCESS WITH INTEGRATED MULTI-CRITERIA DECISION-MAKING METHODS

Authors : Selma BOYACI, Hande KÜÇÜKÖNDER

Pages : 65-72

Doi:10.22531/muglajsci.836438

View : 18 | Download : 7

Publication Date : 2021-06-29

Article Type : Research Paper

Abstract :This study aimed to prioritize the factors affecting the drought, which is an important issue for the sustainability of agricultural production, and classify the factors by the severity of dry periods. An integrated decision model based on multi-criteria decision making insert ignore into journalissuearticles values(MCDM); techniques, Entropy, TOPSIS insert ignore into journalissuearticles values(Technique for Order Preference by Similarity to Ideal Solution); and MAUT insert ignore into journalissuearticles values(Multi Attribute Utility Theory); methods, was presented in the study. The proposed decision model was applied on a numerical case study to determine the drought periods, considering some climatic parameters between 1971 and 2019 in Kırşehir province. The Entropy-weighted results relative to TOPSIS and MAUT methods indicated 17 drought years within the last 49 years, and the drought severity in 17 years was classified in three different levels as weak, moderate and severe. Ten out of 17 years were weakly drought insert ignore into journalissuearticles values(20.41%);, 6 of them were moderate drought insert ignore into journalissuearticles values(12.24%);, and 1 year was serious drought insert ignore into journalissuearticles values(2.04%);. The results of MAUT method showed that 11 of 17 years were weak drought insert ignore into journalissuearticles values(22.45%);, 5 were moderate drought insert ignore into journalissuearticles values(10.20%); and 1 was serious drought insert ignore into journalissuearticles values(2.04%);. The results revealed that the use of multi-criteria decision making models such as Entropy, TOPSIS and MAUT can support the decision analysis for combating agricultural drought in fruit growing by using long-term climatic factors.
Keywords : Agriculture, Drought, Entropy, Maut, Topsis