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

Year 2021, , 65 - 72, 29.06.2021

Selma Boyacı , Hande Küçükönder

https://doi.org/10.22531/muglajsci.836438

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 (MCDM) techniques, Entropy, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and MAUT (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 (20.41%), 6 of them were moderate drought (12.24%), and 1 year was serious drought (2.04%). The results of MAUT method showed that 11 of 17 years were weak drought (22.45%), 5 were moderate drought (10.20%) and 1 was serious drought (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

References

• Andiç, C., “Agricultural Ecology”. Atatürk University Faculty of Agriculture Lecture Notes. No: 106. Erzurum, 1993.
• Ağaoğlu, Y.S., Çelik, H., Çelik, M., Fidan, Y., Gülşen, Y., Günay, A., Halloran, N., Köksal, A.İ. and Yanmaz, R., “General Horticultural Books”. Ankara University Publication No: 595, 2019.
• Anonymous., “United Nations Convention to Combat Desertification”. Ministry of Environment Publications, Ankara, 1997.
• Kadıoğlu, M., “The drought problem”, Cumhuriyet Science and Technology Journal, p.17-24, Istanbul, 2001.
• Graedel, T.E. and Crutzen, P.G., “Atmosphere, Climate and Change”. Scientific American Library, New York, 1995.
• Childers, F.N., Morris, J.R., Sibbeut, G.S., “Modern Fruit Science”. Horticultural publications 3906 NW 31 Place. Gainesville, Florida, 1995.
• Kavurmacı, M.M., Üstün, A.K., “Water quality assessment using multi criteria decision analysis and geographic information system (GIS)”. KSU Journal Nature Science, 19(2), 208-220, 2016.
• Mercan, Y., Yılmaz, E., Sezgin, F. and Ünal, H.B., “Multi criteria decision analysis applications supported by geographical information system in the selection of agricultural farm locations”. Gaziosmanpasa Journal of Scientific Research. 6: Special Issue: 88-102, 2017.
• Tanrıverdi, Ç., Değirmenci, H., Tekinerdoğan, M., Gönen, E., Arslan, F. and Atılgan, A., “Precision of drought based on the TOPSIS method”. Scientific Papers. Series A. Agronomy, Vol. LXI, No. 1, 2018.
• Özfidaner, M., Gönen, E. and Kartal, S., “Drought analysis with TOPSIS method in Adana”. Mediterranean Agricultural Sciences. 33(1): 101-106, 2020.
• Dedeoğlu, M., Başayiğit, L. and Yüksel, M., “Multiple criteria decision making analysis for agricultural purposes land quality index based application in Turkey”. Agricultural Research Journal, 6(3): 295-307, 2019.
• Jozi, S.A., Saffarian, S. and Shafiee, M., “Environmental risk assessment of a gas power plant exploitation unit using integrated TOP-EFMEA method”, Polish Journal Environmental Studies, 21(1): 95-105, 2012.
• Anonymous., Turkey (2017-2023) National Drought Management Strategy Document and Action Plan. https://www.tarimorman.gov.tr, 2021a.
• Anonymous., MGM., Kırşehir Meteorology Regional Directorate General Directorate of Meteorology, www.mgm.gov.tr, 2021b.
• Perçin, S., and Çakır, S., “AB measurement of R&D performance in countries using integrated entropy weight-TOPSIS method” Journal of Uludağ University Faculty of Economics and Administrative Sciences, 32(1), 77-95, 2013.
• Bakır, M. and Akan, Ş., “Evaluation of service quality at airports with entropy and TOPSIS methods: An application on the busiest airports of the Europe”. Electronic Journal of Social Sciences 17:66, 632-651, 2018.
• Opricovic, S. and Tzeng, G.H “Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS”, European Journal of Operational Research, 156(2):445–455, 2004.
• Uygurtürk, H. and Korkmaz, T. “Determination of financial performance using TOPSIS multi criteria decision making method: an application on basic metal industry enterprises”. Eskisehir Osmangazi University Journal of FEAS 7(2), 95-115, 2012.
• Yıldırım, B.F. and Önder, E., “Multi-criteria decision making methods”, Bursa Dora Printing-Publication Distribution, Bursa, 2015.
• Uludağ, A.S. and Doğan, H., “A service quality application focused on comparison of multi criteria decision making methods”. Çankırı Karatekin University Journal of the Faculty of Economics and Administrative Sciences 6(2): 17-47, 2016.
• Zietsman, J., Rilett, L.R. and Kim, S.J., “Transportation corridor decision-making with multi-attribute utility theory”, International Journal of Management and Decision Making, 7 (2/3), 254-266, 2006.
• Alp, İ., Öztel, A. and Köse, M.S., “Entropi tabanli maut yöntemi ile kurumsal sürdürülebilirlik performansı ölçümü bir vaka çalışması”. Ekonomik ve Sosyal Araştırmalar Dergisi, 11(2), 65–81, 2015.
• Demir, Ö., Atay, H., Eskioğlu, O., Tuvan, A., Demircan, M. and Akçakaya, A., “The S-temperature and precipitation projections in Turkey according to the RCP 4.5 scenario”. III. Turkey Climate Change Congress, Istanbul 3-5 June Turkey, 2013.
• Šircelj, H., Tausz, M., Gril, D., Batič, F., “Detecting different levels of drought stress in apple trees (Malus domestica Borkh.) with selected biochemical and physiological parameters”. Scientia Horticulturae 113:362 – 369, 2007.
• Shalaby, E.E., Epstein, E. and Qualset, C.O., “Variation in salt tolerance among some wheat and triticale genotypes”. Journal Agronomy and Crop Science. 171 (298-304), 1993.
• Boyacı, S., Akyüz, A., Baytorun, A.N. and Çaylı, A., “Determination of greenhouse agriculture potential of Kırşehir province”. Nevşehir Science and Technology Journal Vol 5(2) 142-157. DOI: 10.17100/nevbiltek.284738, 2016.
• Kıymaz, S., “Determination of drought periods of Seyfe lake with standardized rainfall Index”. Gaziosmanpaşa University, Journal of the Faculty of Agriculture, 28(1), 91-102, 2011.