Document Type : Original Article
Authors
1 Master's student in Irrigation and Drainage Engineering, Faculty of Engineering and Water Sciences, Azad Islamic University, Torbat Heydarieh Branch
2 Assistant Professor, Department of Water Engineering, Azad Islamic University, Torbet Heydarieh Branch
Abstract
Iran is one of the driest countries in the world and is exposed to severe droughts. Drought is the result of the mutual effects of natural and social surroundings. In addition to affecting agricultural production, it also affects all living organisms at the same time. In this research, the prioritization of the factors affecting drought using the Fuzzy Analytical Hierarchy Process technique has been investigated in Torbat Heydarieh city. The statistical community included experts in this field and agricultural experts with more than 10 years of work experience in the group of 15 individuals. Interviews and expert opinions were used to confirm the validity of the questionnaire, and Cronbach's alpha test was used to confirm its reliability. The experts identified 19 sub-indices in the form of 5 main ones that influence drought in Torbat Heydarieh city after reviewing the theoretical literature of the research. The priority of the main indices that affect drought in this city according to their importance using the fuzzy Analytical Hierarchy Process method is presented in the following form: "human factors", "cultural factors", "social factors", "climatic factors" and "geographical factors". Based on the obtained results, it was found that among the 19 investigated sub-indices, the sub-indices of "excessive use of water resources" has the highest degree of importance, the sub-indices of "population growth", "lack of awareness about water shortage", "Reduction of rainfall", "Increase in temperature", "Increase in unauthorized dams and wells" and "Unsuitable and intensive agricultural crops" were placed in the next grade.
Keywords
- Increase in water consumption
- Population growth
- Precipitation reduction
- Temperature increase
- weak management
Main Subjects
Arboni, Z., Mohammadi Yeghaneh, B., Einali, J., Farahani, H. & Cheraghi, M. (2022). Scenarios affecting the capacity building of villagers to reduce the effects of drought Case study: Zanjan townership, Rural Development strategies, 9 (2), 259-276. [In Persian]. https://doi.org/10.22048/rdsj.2022.289553.1950
Ataee, M. (2013). Investigating the effective factors in the occurrence of drought in Lake Urmia in recent years. The first national conference on environmental protection and planning, Hamedan, Iran, [In Persian]. Azar, A. & Faraji, H. (2016). Fuzzy management science, Mehraban nashr publishing, Tehran, Iran, [In Persian]. DOI:10.18869/acadpub.jemr.7.25.91
Babaee, M., Hosseini, Z. & Fijani, E. (2022). Assessing the role of meteorological and hydrological droughts on the drying up of the Bakhtegan and Tashk lakes, Journal of Natural Environmental Hazards, 11 (34), 79-100, [In Persian].
Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research, 95, 649-655. https://doi.org/10.1016/0377-2217(95)00300-2
Cui, L., Zhang, Ch., Yao, Ch., Luo, Zh., Wang, X. & Li, Q. (2021). Analysis of the influencing factors of drought events based on GRACE data under different climatic conditions: A case study in Mainland China, Water, 13(18), 2575. https://doi.org/10.3390/w13182575
Ebadi Nehari, Z., Erfanian, M. & Kazempour Choursi, S. (2023). A new method for evaluation and comprehensive drought Monitoring in the Urmia Lake Basin using a Synthesized Drought Index (SDI), Journal of Applied researches in Geographical Sciences, 23 (68), 243-257, [In Persian]. DOI:10.52547/jgs.23.68.243
Harris, L. M., Nelson, D. R., Finnegan, G. & Gerrard, A. (2017). Irrigation and culture: The impact of institutions on water management in the Canadian Prairie, Water Alternatives, 10(3), 397-417.
Heydari Alamdarloo, E., Khosravi, H., Nasabpour, S. & Gholami, A. (2021). Assessment of drought hazard, vulnerability and risk in Iran using GIS techniques, Journal of Arid Land, 12, 984-1000.DOI:10.1007/s40333-020-0096-4
Hosseini-Moghari, S.M., Araghinejad, S. & Azarnivand, A. (2017). Fuzzy analytic hierarchy process approach in drought management: cases study of Gorganrood basin, Iran. Journal of Water Supply: Research and Technology—AQUA, 66(3), 207-218. http://dx.doi.org/10.2166/aqua.2017.099
Jehanzaib, M., Sattar, M.N., Lee, J.H. & Kim, T.W. (2020). Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections. Stochastic Environmental Research and Risk Assessment, 34, 7-21. https://doi.org/10.1038/nclimate1633
Kavakebi, Gh., Mousavi Baygi, M., Mosaedi, A. & Jabari Noghabi, M. (2015). Determining of most Effective Factors on drought Useing of Panel Data Analyse (Khorasan Razavi Province), Journal of Water and Soil, 28 (6), 1298-1310, [In Persian].
KhakiFirouz, Z., Niknami, M., Keshavarz, M. & Sabouri, M.S. (2022). Factors affecting of farmers resilience to drought:the case of Sistan plain, Iran Agricultural Extension and Education Journal, 18 (1), 161-179, [In Persian].
Kiani Salmi, S. & Amini Faskhoodi, A. (2018). Identifying the Social factors of drought and uncovering its effect, Spatial Planning, 7(4), 1-18, [In Persian]. DOI :10.22108/sppl.2017.81267.0
Liu, Y., Eckert, C.M. & Earl, C. (2020). Areview of fuzzy AHP methods for decision-making with subjective judgements‚ Expert Systems with Applications, 161, 113738. https://doi.org/10.1016/j.eswa.2020.113738
Mansuri Moghadam, S., Zalaghi, E. & Mehrjoo, F. (2000). Investigating the causes of drought crisis in Khuzestan and providing a solution in this field. The 5th international conference of new horizons in agricultural sciences, natural resources and environment, Tehran, Iran, [In Persian].
Maryanaji, Z. (2021). Investigating the effects of geographical factors on drought and agricultural development in Asadabad city. The first national conference of community-oriented researches in agriculture, natural resources and environment, Hamedan, Iran, [In Persian].
Momeni. M. & Sharifisalim, A. (2015). Multi-indicator decision making models and software, Mehraban nashr publishing, Tehran, Iran, [In Persian].
Mozafari, M., GHaderi, R., Bedraghnejad., A. & Azad falah, Z. (2017). Identifying and prioritizing factors affecting the drying up of Lake Urmia based on the Delphi model, Physical Geography Quarterly, 10 (35), 101-114, [In Persian].
Mukherjee, S., Mishra, A. & Trenberth, K.E. (2018). Climate change and drought: a perspective on drought indices, Current climate change reports, 4, 145-163.
Razmkhah, H., Rostaee, R., Rostami Ravari, A. & Fararoee, A.R. (2022). Investigating the effectiveness of meteorological drought profiles in assessing drought in Fars province. The 4th National Hydrology Conference, Shahrkord, Iran, [In Persian].
Shafeie, B., Barghi, H. & Ghanbari, Y. (2019). Analysis of the Effective Factors on Drought Management in Rural Areas, from the Viewpoint of Households (Case study: Eslamaban Gharb), Physical Geography Research Quarterly, 51(3), 403-416, [In Persian]. DOI:10.22059/jphgr.2019.274830.1007334
Shiravand, H. & Bayat, A. (2023). Vulnerability and drought risk assessment in Iran based on fuzzy logic and hierarchical analysis, Theoretical and Applied Climatology, 1-13. DOI:10.1007/s00704-022-04323-x
Staal, A., Flores, B.M., Aguiar, A.P.D., Bosmans, J.H., Fetzer, I. & Tuinenburg, O.A. (2020). Feedback between drought and deforestation in the Amazon., Environmental Research Letters, 15(4), 044024. DOI:10.1088/1748-9326/ab738e
Tajri, A.R., Babanejad, M., Kardel, F. & Soleymani, K. (2015). Inspection of factorsthat influence the hydrological drought (Case study: Lorestan watershed province), Geographical Planning of Space Quarterly Journal, 5 (16), 151-164, [In Persian].
Ullah, I., Ma, X., Yin, J., Saleem, F., Syed, S., Omer, A., ... & Arshad, M. (2022). Observed changes in seasonal drought characteristics and their possible potential drivers over Pakistan, International journal of climatology, 42(3),1576-1596. DOI:10.1002/joc.7321
Wijitkosum, S. & Sriburi, T. (2019). Fuzzy AHP integrated with GIS analyses for drought risk assessment: A case study from upper Phetchaburi River basin, Thailand, Water, 11(5), 939.
Wijitkosum, S. (2021). Factor influencing land degradation sensitivity and desertification in a drought prone watershed in Thailand, International Soil and Water Conservation Research, 9(2), 217-228. DOI:10.1016/j.iswcr.2020.10.005 Zalaghi, E., Zalaghi, E. & Kidkhorde, A. (2013). Investigating the causes of drought crisis in Khuzestan and providing a solution in this field. The 5th Water Resources Management Conference, Tehran, Iran, [In Persian].
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