Investigation of Vulnerability and Spatial Analysis of Drought Risk in the Agricultural Sector in Iran

Document Type : Research Article

Authors

1 Professor of Climatology, Faculty of Geographical Sciences, Tehran University, Iran

2 PhD Student of Climatology, Faculty of Geographical Sciences, Tehran University, Iran

Abstract

The nature of the drought is multidimensional and dynamic, and drought risk management plays a vital role in studying drought risk and vulnerability. Iran is always facing this meteorological phenomenon by being in the middle latitudes. Drought risk is defined as the risk index and vulnerability index function. In this study, vulnerability index with physical components including altitude, water system, land use and socio-economic components, the ratio of net production to total production, population density in agriculture, population density, the ratio of rainfed land to total land and number of livestock (1000 heads Per square meter) using standardized fuzzy membership functions and criteria, and each is given a specific weight according to the AHP method. All the maps are combined, and the map of land vulnerability to drought is obtained. According to the results, the southern, southeastern, and central regions are relatively less vulnerable to drought. As we move west, north, and northeast of the country, the number of vulnerabilities increases, the causes of which can be significantly affected by the characteristics. He knew the climate and physics of these areas. Finally, the drought risk map was drawn with the SPI index for 12 months, and after weighing and converting it into a fuzzy map, it was combined with the vulnerability index map. The drought risk map indicates the prevalence of relatively high drought risk in a large area of Iran. With the help of these maps, it is possible to develop micro or macro development plans, especially in the agricultural sector for each part of the country.

Keywords

Main Subjects


References (in Persian)
Biliani Saeed, Khosravi Younes, Abbasi Semnani Alireza. (2015). Zoning of rainfall hazards leads to drought and floods in the Hilleh and Mand catchments. Spatial analysis of environmental hazards. 2016; 3 (4): 34-13. [In Persian]
Ebrahimi, Mehrzad. (2020). Social, economic, and environmental vulnerability of farmers to drought: Bakan Eghlid plain. Agricultural Economics and Development, 28 (1), 171-192. [In Persian]
Ekrami, Mohammad, Fatehi Marj, Ahmad, Barkhordari, Jalal. (2015). Assessment of agricultural drought vulnerability in arid and semi-arid climates using GIS and Analytic Hierarchy Process (AHP); Case study of Taft city of Yazd. Iranian Journal of Irrigation and Water Engineering, 5 (20), 107-117. [In Persian]
Ghaseminejad S, Soltani S, Soffianian A. (2014). Drought Risk Assessment in Isfahan Province. 18 (68) :213-226. [In Persian]
Hassaninejad, Asia; Taqdisi, Ahmad; Noori, Syed Hedayatullah; Akbarian Ronizi, Saeed Reza. (2018). The Role of Drought Risk Management in Reducing the Vulnerability of Farmers (Case Study: Zarrin Dasht County), 9 (2), 264-277. [In Persian]
Khalili, Seyed Mohammad; Naji Azimi, Zahra; Harthi, Samira. (2018). Agricultural drought risk management using fuzzy multi-indicator decision-making methods in Ferdows city. Agricultural Economics and Development, 27 (1), 274-237. [In Persian]
Markan, A., Darvishzadeh, R., Hosseiniasl, A., Ebrahimi khusfid, M., Ebrahimi khusfie, Z. (2011). Knowledge-based drought risk zonation in arid regions using GIS (Case study: Sheitoor, Yazd). Journal of Climate Research, 2 (56), 103-116. [In Persian]
Naderi, Sasan; Ghanbari Movahed, Rezvan; Gholamrezaei, Saeed (2020). Assessing the social vulnerability of farmers to drought (Case study: Kermanshah). Geographical Studies of Mountainous Areas, 1 (2): 91-105. [In Persian]
Sidi Shahivandi, Muslim; Khaledi, Shahriar; Shakiba, Alireza; Mirbagheri, Babak. (2013). Zoning of grain maize agricultural climate in Lorestan province using geographic information system technologies, 29 (2), 195-214. [In Persian]
 
References (in English)
Adger, W. N. (2006). Vulnerability. Global environmental change, 16(3), 268-281.
Arnold, M., Robert S. Chen, Uwe Deichmann, Maxx Dilley, Arthur L. Lerner-Lam, Randolph E. Pullen, Zoe Trohanis (2006), Natural Disaster Hotspots Case Studies, The World Bank Hazard Management Unit 2006 Washington, D.C. ISBN 0-8213-6332-8, http://hdl.handle.net/10986/7091.
Brooks, N., Adger, W. N., & Kelly, P. M. (2005). The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Global environmental change, 15(2), 151-163.
Carrão, H., Naumann, G., & Barbosa, P. (2016). Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure, and vulnerability. Global Environmental Change, 39, 108-124.
De Souza, K., Kituyi, E., Harvey, B., Leone, M., Murali, K. S., & Ford, J. D. (2015). Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. Regional Environmental Change, 15(5), 747-753.
Eriyagama, N., Smakhtin, V. Y., & Gamage, N. (2009). Mapping drought patterns and impacts: a global perspective (Vol. 133). Iwmi.
Evans, B. M., & Myers, W. L. (1990). A GIS-based approach to evaluating regional groundwater pollution potential with DRASTIC. Journal of Soil and Water Conservation, 45(2), 242-245.
Fan, G., Zhang, Y., He, Y., & Wang, K. (2017). Risk assessment of drought in the Yangtze River Delta based on natural disaster risk theory. Discrete Dynamics in Nature and Society, 2017, https://doi.org/10.1155/2017/5682180.
Güneralp, B., Güneralp, İ., & Liu, Y. (2015). Changing global patterns of urban exposure to flood and drought hazards. Global environmental change, 31, 217-225.
Hallegatte, S., Mook Bangalore, Laura Bonzanigo,Marianne Fay, Tamaro Kane, Ulf Narloch, Julie Rozenberg, David Treguer, and Adrien Vogt-Schilb. 2016. Shock Waves: Managing the Impacts of Climate Change on Poverty. Climate Change and Development Series. Washington, DC: World Bank. License: Creative Commons Attribution CC BY 3.0 IGO, https://openknowledge.worldbank.org/handle/10986/22787 License: CC BY 3.0 IGO.
Hinkel, J. (2011). “Indicators of vulnerability and adaptive capacity”: towards a clarification of the science-policy interface. Global environmental change, 21(1), 198-208.
Huang, L., Yang, P., & Ren, S. (2013, September). The vulnerability assessment method for Beijing Agricultural Drought. In International Conference on Computer and Computing Technologies in Agriculture (pp. 269-280). Springer, Berlin, Heidelberg.
Jianping Yan, (2010). Drought Risk Assessment: Mapping the Vulnerability of Agricultural Systems, Training Workshop on Drought Risk Assessment for the Agricultural Sector - Ljubljana, Slovenia, Sept. 20-24.
Kim, H., Park, J., Yoo, J., & Kim, T. W. (2015). Assessment of drought hazard, vulnerability, and risk: A case study for administrative districts in South Korea. Journal of Hydro-environment Research, 9(1), 28-35.
Massam, B. H. 1988. Multi-criteria decision-making technique in planning. Plan. Program 30: 1-89.
McKee, T. B., N. J. Doesken, and J. Kleist, 1993: The relationship of drought frequency and duration to time scales. Preprints, Eighth Conf. on Applied Climatology, Anaheim, CA, Amer. Meteor. Soc., 179-184.
Mishra, A. K., and V. P. Singh, 2010: A review of drought concepts. J. Hydrol.,391, 202-216.
Moazezi Zadeh Tehrani, M. R. (2014). Vulnerability measures for flood and drought and the application in hydrometric network design (Master's thesis, University of Waterloo), http://hdl.handle.net/10012/8559.
Móring, A., Németh, A., & Bihari, Z. (2012). Estimation and mapping of drought vulnerability based on climate, land use, and soil parameters using the GIS technique. At the Final conference of the DMCSEE project, Ljubljana.
Naumann, G., Barbosa, P., Garrote, L., Iglesias, A. and J. Vogt. (2013). Exploring drought vulnerability in Africa: an indicator-based analysis to be used in early warning systems, Hydrology and Earth System Sciences, Hydrol. Earth Syst. Sci., 18, 1591-1604, 2014.
O'Brien, K., Leichenko, R., Kelkar, U., Venema, H., Aandahl, G., Tompkins, H., ... & West, J. (2004). Mapping vulnerability to multiple stressors: climate change and globalization in India. Global environmental change, 14(4), 303-313.
Polsky C, Neff R, Yarnal B, 2007. Building comparable global change vulnerability assessments: The vulnerability scoping diagram. Global Environmental Change, 17(3-4): 472-485.
Saaty, T. L. (1980). The analytic hierarchy process McGraw-Hill. New York, 324, DOI: 10.4236/jss.2019.74025.
Shahid, S., & Behrawan, H. (2008). Drought risk assessment in the western part of Bangladesh. Natural hazards, 46(3), 391-413.
Stone, R. C., & Potgieter, A. (2008). Drought risks and vulnerability in rainfed agriculture: example of a case study in Australia. Options Mediterranean’s, 29-40.
Strzepek, K., Yohe, G., Neumann, J. and B. Boehlert, Characterizing changes in drought risk for the United States from climate change, Environmental Research Letters, vol. 5, no. 4, Article ID 044012, 2010.
Wilhite, D.A., Svoboda, M.D., Hayes, M.J., 2007. Understanding the complex impacts of drought: a key to enhancing drought mitigation and preparedness. Water Resour. Manag. 21, 763-774.
Wisner, B. Vulnerability in Disaster Theory and Practice: From Soup to Taxonomy, then to Analysis and Finally Tool. International Work-Conference Disaster Studies of Wageningen University and Research Centre, 2001; Available online.
World Bank. 2013. Turn Down the Heat: Climate Extremes, Regional Impacts, and the Case for Resilience. A report for the World Bank by the Potsdam Institute for Climate Impact Research and Climate Analytics. Washington, DC: World Bank. License: Creative Commons Attribution - Noncommercial-NoDerivatives3.0 Unported license (CC BY-NC-ND 3.0).
Zarafshania, Kiumars, Lida Sharafia, Hossein Azadib,Gholamhossein Hosseininiac, Philippe De Maeyerb, Frank Witloxb, (2012), Drought vulnerability assessment: The case of wheat farmers in Western Iran, Global, and Planetary Change, Volumes 98-99, December 2012, Pages 122-130.
  • Receive Date: 01 April 2022
  • Revise Date: 29 June 2022
  • Accept Date: 02 August 2022
  • First Publish Date: 02 August 2022
  • Publish Date: 22 June 2023