Evaluation of desertification hazard in the Jaz_Murian aquifer based on analysis of climate and groundwater criteria
Paper Details
Evaluation of desertification hazard in the Jaz_Murian aquifer based on analysis of climate and groundwater criteria
Abstract
Desertification is a major concern of this century and occurs as a result of climatic and human induced factors. The current work aims to depict the desertification hazard map in the Jaz_Murian region using an Iranian Model of Desertification Potential Assessment (IMDPA) based on groundwater and climate criteria. For the evaluation of groundwater criterion, four indices included Electrical Conductive (Ec), Sodium Absorption Ratio (SAR), Chloride (CL), and groundwater depletion are usually used. As well as, two climatic (precipitation and aridity) indices were considered. As the groundwater quality data are collected in a much-dispersed network of wells, this problem is moderated by various geostatistical methods that have been developed to predict values at the unmeasured locations. This paper used Kriging’s method to interpolate groundwater quality variables. In order to better understanding the groundwater level of Jaz_Murian aquifer, the groundwater hydrograph was generated. The results showed that the groundwater level depleted about 6.8 meter during the last 11 years. Moreover, evaluation of desertification based on climatic indices showed that the Jaz_Murian aquifer faces a critical desertification hazard. Results have shown that about 49% of the area fell into the moderate category and the rest (51%) fell into the high category for desertification hazard. Decrease in precipitation and severe utilization of groundwater particularly in the agricultural sector led to desertification that calls for urgent establishment of watershed management projects in this region.
Anagnostopoulos SA. 2006. A brief report on research needs for natural hazards. Department of civil engineering, university of Patras. Based on the workshop “Climate Change-Research Challenges” on Feb. 2-3 in Brussels.
Batterbury SPJ, Warren A. 2001. Desertification, in: international encyclopedia of the social and behavioral sciences, edited by: Smelser N, and Baltes P, Elsevier Press 3526–3529.
Bowyer C, Withana S, Fenn I, Bassi S, Lewis M, Cooper T, Benito P, Mudgal Sh. 2009. Land Degradation and Desertification, Policy Department Economic and Scientific Policy 102p.
Childs C. 2004. Interpolating surfaces in Arc GIS spatial analyst. ESRI Education Services. www. esri.com.
FAO. 1984. Provisional methodology for assessment and mapping of desertification/Food and Agriculture Organization of the United Nations [and] United Nations Environment Programme, Global Environ-mental Monitoring System. Rome, Italy 84 p.
Frantzova A. 2010. Remote sensing, GIS and disaster management. 3rd International Conference on Cartography and GIS, 15-20 June, Nessebar Bulgaria.
Hrnjak I, Gavrilov MB, Markovic SB, Lukić T, Tosic I, Unkasevic M. 2013. Special software for aridity indices calculation (aics); vojvodina, serbia case study. Theory and methods of natural hazards research. UDC: 007:551.577(497.113).
Mahdavi M. 2007. Applied Hydrology, 2nd ed, Tehran University Press, Vol. 2, 289. (In Persian).
Nachtergaele OFF, Licona-Manzur C. 2008. The Land Degradation Assessment in Drylands (LADA) Project: Reflections on Indicators for Land Degra-dation Assessment. The Future of Drylands. DOI: 10.1007/978-1-4020-6970-3_33. pp 327-348.
Oldeman LR, Hakkeling RTA, Sombroek WG. 1990. Wageningen: International Soil Reference and Information Centre; Nairobi: United Nations Environment Programme, Publish in cooperation with Win and Staring Centre, International Society of Soil Science, Food and Agricultural Organization of the United Nations, International Institute for Aerospace Survey and Earth Sciences ISBN 90-6672-046-8.
Oliver MA, Webster R. 1999. Kriging: a method of interpolation for geographical information systems. International Journal of Geographical Information Systems. 4(3), 313-332.
Shakerian A, Zehtabin GHR, Azarnivand H, Khosavi H. 2011. Evaluation of desertification intensity based on soil and water criteria in Jarghooyeh region. Desert Journal 16, 23-32.
Tahmoures M, Jafaria M, Ahmadi H, Naghiloo M. 2013. An integrated methodology for assessment and mapping of land degradation risk in Markazi province. Desert Journal 18, 27-43.
Taylor Charles J, Alley William M. 2001. Groundwater level monitoring and the importance of long-term water level data. U.S. Geological Survey Circular 1217.
Transeau EN. 1905. Forest centers of eastern America. American Naturalist, 39(468), 875-889.
UNEP. 1993. World Atlas of Desertification. The United Nations Environment Programme (UNEP) London.
UN-ISDR. 2004. Terminology of disaster risk reduction. United Nationas, International Strategy for Disaster Reduction, Geneva Switzerland.
Van Westen CJ. 2002. Remote sensing and geographic information systems for natural disaster management. In: Skidmore A., (Ed), Environmental modeling with GIS and remote sensing, London: CRC Press pp, 200-226.
Verón SR, Paruelo JM, Oesterheld M. 2006. Assessing desertification. Journal of Arid Environments 66(4), 751-763.
World Ecology Report (WER). 2009. Critical issue in health and environment. Vol XXI, No 1.
World Meteorological Organization (WMO). 2007. Climate Change and Desertification. www.wmo.int.
Zehtabian Gh, Khosravi H, Masoudi R. 2014. Models of desertification assessment (criteria and indices). University of Tehran press, 268. (in Persian).
Mojtaba Soleimani Sardo, Abolfazl Ranjbar Fordoei, Seyed Hojjat Mousavi, 2016. Evaluation of desertification hazard in the Jaz_Murian aquifer based on analysis of climate and groundwater criteria. J. Biodiv. Environ. Sci., 9(1), 337-347.
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