Evaluation and zoning the desertification destructive effects using IMPDA model and clustering (case study: Normashir and Rahmatabad plain)

Document Type : Research Article



Practical activities in controlling desertification must be based on current desertification situation and its severity. Based on this theory, in this study, the destructive ability of desertification was analyzed for the Bam Normashir and Rahmatabad (Kerman Province) plain aquifer using the IMDPA model and geographical information system (GIS). In this study, using the quantitative (water table depth) and qualitative (Electrical conductivity (EC), Cl and SAR) indicators as well as the soil erosion magnitudes in the studied locations, severity classes of degradation were evaluated. Then, the destruction map of the studied region was prepared by taking into consideration the maximum limitation in qualitative indices. Cluster analysis Ward and K-means method were utilized for testing the models. The results indicated that the desertification destructive in 90.81% and 8.61% of the aquifer is at severe hazard and very severe hazard class, respectively. Overall, 62% of the model results (IMDPA) was reported significant with clustering.


[1]. Roux P, Preez C.C, Strydo M.G. Significance of soil modifiers in naturally degraded Vertisols of the Peninsular Indian in redefining the sodic soils. Journal of Geoderma. 2007; 136(1-2): 210-228.
[2]. Zarei H, Akhondali E. The evaluation of quality trend of water resource in Abolabads reservoir river basin and irrigation and drainage network. Network Management Articles National Conference of Irrigation and Drainage, martyr Chamran University. 2006; 3: 1626-1620. (In Persian)
[3]. The Department of Environment and Conservation (NSW).2007. Guidelines for the Assessment and Management of groundwater Contamination. Published by: Department of Environment and Conservation NSW, Website:www.environment.nsw.gov.au.
[4]. Vahabzadeh E. Understanding the environment: planet earth live. Sixth Edition. University of Mashhad Press. 2009.
[5]. Mahdavi M. Applied Hydrology. Volume II Tehran University Press. 2005.
[6]. Rizzo D.M, Mouser J.M. Evaluation of Geostatistics for Combined Hydrochemistry and Microbial Community Fingerprinting at a Waste Disposal Site. 2000; 1-11.
[7]. Thapinta A, Hudak P. Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. Journal of Environmental International. 2003; 29: 87-93.
[8]. Tabatabaeefar SM, Zehtabian Gh.R, Rahimi M, Khosravi H, Nikoo Sh. The impact assessment of temporal variation of climatological and groundwater condition on desertification intensity in Garmsar Plain. Journal of Desert Management. 2013; 2:39-48. (In Persian)
[9]. Nateghi S, Zehtabian Gh.R, Ahmadi H. Evaluation of desertification intensity in Segzi Plain using IMDPA model. J. Range Water Manage. 2009; 62(3):419-430. (In Persian)
[10].            Zolfaghari F. Identification of present desertification status in Sistan plain using IMDPA method. M.Sc thesis, Faculty of Natural Resources. University of Zabol. 2010. (In Persian)
[11].            Niko S.H. Assessment of potential desertification, land degradation to identify the effective factors by using IMDPA method (Case study: Damghan region). A thesis of Ph.D. in combating desertification, University of Tehran. 2011; 233p. (In Persian)
[12].            Pahlavanravi A, Moghaddamnia A.R, Hashemi Z, Javadi M.R, Miri, A, Evaluation of desertification intensity with wind erosion criterion using MICD and FAO-UNEP models in Zahak region of Sistan. Iranian Journal of Range and Desert Reseach. 2012; 19(4): 624- 639. (In Persian)
[13].            Mesbahzadeh T, Ahmadi H, Zehtabian Gh, Sarmadian F, Moghimi Nezhad F. Calibration of IMDPA model with regarding to land criteria to present regional model for desertification intensity (Case study: Abuzaidabad, Kashan). Journal of Range and Watershed Management. 2013; 66(3): 469-476.
[14].            Shokoohi E.S, Zehtabian Gh.R, Tavili A. Study of desertification status using IMDPA model with emphasis on water and soil criteria (Case study: Khezr Abad - Elah Abad of Yazd plain). Journal of Range and Watershed Management. 2013; 65(4): 517-528.
[15].            Silakhori A, Ownegh M, Saad Eddin A, Fylhksh A. Comparing the efficiency of the Iranian model of desertification potential assessment (IMDPA) and MICD models, case study: Sabzevar area. Journal of Preceding studies soil and water conservation. 2014; 4(21): 1-28. (In Persian)
[16].            Vly A.A, Mousavi S.H, Ahmadi S.M. Assessment of desertification in Masjed Soleiman basin by using IMDPA model. Journal of Engineering desert ecosystem. 2015; 4(9):43-56. (In Persian)
[17].            Ahmadi, H. Iranian Model of Desertification Potential Assessment. Faculty of Natural Resources, University of Tehran.2004. (In Persian)
[18].            Ward Jr. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Asssociation. 1963; 58 (301): 236-244.
[19].            Macqueen J. Some methods for classtification and analysis ofmultivariate observation. In Proceeding of the 5th Berkeley symposiumon mathematical statistics and probability. Berkeley, CA: University of California. 1967; 1: 297-2871.
[20].            Moameni M. clustering data. 2nd ed. Tehran: 2014. (In Persian)
[21].            Rousseeuw P.J. Silhouette: A graphical aid to the interpretation and validation of cluster analasis, Journal of Computational and Applied Mathematics.1987; 20: 53-65.
[22].            Zakeri nazhad R, Masoudi M, Fallah Shamsi SR, Afzali SF. Evaluation of severity of desertification, groundwater assessment criteria and using geographic information system (Case study: Zarindasht plain). Journal of Irrigation and Water. 2008; 2(0):8-87. (In Persian)
[23].            Masoudi M, Barzegar S. Assessment and Mapping of Qualitatative and Quantitative Severity Degradation of Groundwater Resourses using the Modified IMDPA Desertification Model and GIS (Case Study: Firuz-abad Plain of Fars province). Journal of Irrigation and Water. 2015; 5(20):88-95. (In Persian)
[24].            Johnson C.W, Gebhardt K.A. Predicting sediment yields from saga brush rangeland in, Proceedings of the workshop on estimating erosion and sediment yield on rangeland Department of agriculture ARM-W. 1982. 26:145-156.
Volume 5, Issue 1
April 2018
Pages 123-134
  • Receive Date: 25 April 2017
  • Revise Date: 21 May 2017
  • Accept Date: 20 June 2017
  • First Publish Date: 21 March 2018