Volume 3, Issue 2 (Winter 2018 -- 2018)                   HDQ 2018, 3(2): 113-120 | Back to browse issues page

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1- Disaster and Emergency Management Center, Kerman University of Medical Sciences, Kerman, Iran. , khadem115@yahoo.com
2- Disaster and Emergency Management Center, Kerman University of Medical Sciences, Kerman, Iran.
3- Department of Health Management, Faculty of Management and Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
4- Kerman Agriculture Jihad Organization, Kerman, Iran.
Abstract:   (1573 Views)
Background: Drought can be considered as a characteristic deviation from the normal climatic conditions that manifest itself in variables like rainfall, soil moisture and level of water rivers and underground water. According to the National Drought Monitoring and Warning Center of Iran and based on the SPI index, by February 2017, around 60% of Kerman Province was involved in severe drought, and about 16% suffered from severe drought. The risk of drought is a function of the intensity and duration of drought as well as the vulnerability of the community against the drought. This study aims to comprehensively evaluate the risk of drought and its mapping in Kerman Province. 
Materials and Methods: This is a qualitative study that besides determining the risk of drought, assess the level of vulnerability of Kerman Province against drought. In order to evaluate the risk of drought, we used the equation DRI=DHI * DVI. Using the relationship DHI=(MDr * MDw)+(VSDr * VSDw)+(SDr * SDw), the Drought Hazard Index was extracted. The data obtained from the study was mapped by using ArcGIS 9.0.
Results:  Based on the study results, 6.3% of Kerman Province, 11581 Km2, was involved in severe drought. This province with mean drought vulnerability index of 4.5, has low tolerance against drought and the consequences could affect dramatically the communities in this province.
Conclusion: The measures to reduce the vulnerability in social, economic, ecologic, and health areas not only lower the risk in the drought-affected areas, but also prevent secondary damages like immigration, marginalization, and social, cultural problems in large and capital cities of the province. 
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Type of Study: Research | Subject: Special
Received: 2017/05/4 | Accepted: 2017/10/1 | Published: 2018/01/1

1. Haines A. Health effects of climate change. JAMA. 2004 Jan 7; 291(1):99. doi: 10.1001/jama.291.1.99 [DOI:10.1001/jama.291.1.99]
2. van Lanen HA, Tallaksen L, Rees G. Droughts and climate change. Brussels: Commission of the European Communities; 2007.
3. Tallaksen LM, Van Lanen HA. Hydrological drought: Processes and estimation methods for streamflow and groundwater. Amsterdam: Elsevier; 2004.
4. Duclos P, Vidonne O, Beuf P, Perray P, Stoebner A. Flash flood disaster-nîmes, France, 1988. European Journal of Epidemiology. 1991; 7(4):365–71. doi: 10.1007/bf00145001 [DOI:10.1007/BF00145001]
5. Bouma MJ, Kovats RS, Goubet SA, Cox JS, Haines A. Global assessment of El Ni-o's disaster burden. The Lancet. 1997; 350(9089):1435-8. doi: 10.1016/s0140-6736(97)04509-1 [DOI:10.1016/S0140-6736(97)04509-1]
6. World Health Organization. The management of nutrition in major emergencies. Geneva: World Health Organization; 2000.
7. Iglesias A, Cancelliere A, Wilhite DA, Garrote L, Cubillo F. Coping with drought risk in agriculture and water supply systems. Springer Netherlands; 2009; doi: 10.1007/978-1-4020-9045-5 [DOI:10.1007/978-1-4020-9045-5]
8. Shahid S, Behrawan H. Drought risk assessment in the western part of Bangladesh. Natural Hazards. 2008; 46(3):391–413. Doi: 10.1007/s11069-007-9191-5 [DOI:10.1007/s11069-007-9191-5]
9. Guttman NB. Accepting the standardized precipitation index: A calculation algorithm. JAWRA Journal of the American Water Resources Association. 1999; 35(2):311–22. doi: 10.1111/j.1752-1688.1999.tb03592.x [DOI:10.1111/j.1752-1688.1999.tb03592.x]
10. Hayes MJ. Drought indices. New Jersey: John Wiley & Sons, Inc.; 2006. [DOI:10.1002/0471743984.vse8593]
11. Ghazanfar Pour H, Kamandari M, Mohammadi Soleimani M. [A study of the impact of geographical factors on the pattern of rural housing via, in kerman province (Persian)]. Quarterly Geographical Journal of Chashmandaz-E-Zagros. 2014; 5(18):125-42.
12. Synoptic stations of the Meteorological Organization and basic aerometric stations - Ministry of Energy. [Report of precipitation and temperature, drought and seasonal forecast (Persian)]. Tehran: Iran Meteorological Organization; 2017.