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Sadeghiravesh M H. Zoning potential of desertification intensity using Moora and Aras scoring models. Journal of Spatial Analysis Environmental Hazards 2024; 11 (3)
URL: http://jsaeh.khu.ac.ir/article-1-3441-fa.html
URL: http://jsaeh.khu.ac.ir/article-1-3441-fa.html
صادقی روش محمد حسن. پهنهبندی پتانسیل شدت بیابانزایی با استفاده از مدل‌های امتیازی مورا و آراس. تحلیل فضایی مخاطرات محیطی. ۱۴۰۳; ۱۱ (۳)
دانشگاه آزاد ، mh.sadeghiravesh@iau.ac.ir
چکیده: (۲۰۲۸ مشاهده)
پهنهبندی پدیدهها به منظور شناخت و ارزیابی وضع کنونی، به عنوان پایه تصمیمگیری، از ملزومات مدیریت علمی منابع طبیعی میباشد، بنابراین در مدیریت عرصههای بیابانی نیز به منظور پیشگیری از پرداخت هزینههای گزاف تصمیمگیری نادرست نیاز به روشهای قوی و مستدلی در شناخت وضع فعلی و روند توسعه میباشیم، براین مبنا هدف اصلی پژوهش حاضر، ارائه مدلی مناسب جهت پهنهبندی توزیع فضایی خطر بیابانزایی با استفاده از تکنیکهای امتیازی مورا، آراس و استفاده از سامانه اطلاعات جغرافیایی در زیرحوضه یزد- خضرآباد میباشد. از این رو در ابتدا پس از تعیین واحدهای کاری به روش ژئومرفولوژی، اهمیت شاخصها در هر واحد بر مبنای روش دلفی به دست آمد و اهمیت شاخصها نسبت به هم از روش آنتروپی شانون برآورد شد، سپس ماتریس تصمیم شکل گرفت و بعد از موزونسازی، پتانسیل شدت بیابانزایی با محاسبه ضریب مطلوبیت از روش امتیازی مورا و آراس برآورد شد. نتایج حاصل از تحلیلهای صورت گرفته از هر دو مدل نشان داد که واحد اراضی کشاورزی کوهستانی و کشاورزی دشتی، واجد بیشترین پتانسیل بیابانزایی میباشند که 7135 هکتار (11/9 %) از کل منطقه مطالعاتی را در برگرفتهاند. بیشترین اراضی منطقه، تحت تاثیر بیابانزایی با شدت نسبتاً متوسط (III) قرار دارد و ارزش کمی پتانسیل بیابانزایی برای کل منطقه از مجموع شاخصها در کلاس متوسط (IV) به دست آمد.. بنابراین پیشنهاد میشود که در طرحهای کنترل و کاهش اثرات بیابانزایی و احیاء اراضی تخریب یافته، نتایج و رتبهبندی به دست آمده مورد توجه قرار گیرد.
واژه‌های کلیدی: آراس، پهنه بندی، بیابان زایی، تصمیم گیری چند معیاره، ساختار سلسله مراتبی، مدل های امتیازی، مورا.
فهرست منابع
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7. Azar, A. 1999. Development of Shannon Entropy Method for Data Processing in Content Analysis. Alzahra University Journal of Science, 37-38: 1-18.
8. Azar, A.; and h. Faraji. 2016. Science of fuzzy management. Mehraban press, Tehran, Iran.
9. Azar, A; and A. Rajabzadeh. 2017. Applied Decision Making with an Approach of Multi-Attribute Decision Making (MADM). Publication of Negah Danesh, Tehran, Iran.
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11. Bednarik, M.; B. Magulova, M. Matys, and M. Marschalko. 2010. Landslide Susceptibility Assessment of the Kral Ovany–Liptovsky Mikulas Railway Case Study, Physics and Chemistry of the Earth, 35(3-5):162-171.
12. Bidgoli, R. D.; H. Koohbanani, M. Yazdani, and J. Dashti Amirabad. 2019. Risk assessment of land destruction and desertification severity using fuzzy method (case study: Miyandehi, Khorasan Razavi province), Iranian Journal of Range and Desert Research, 25(4): 877-887.
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26. Nachtergaele, F.O.F.; and C. Licona-Manzur. 2009. The Land Degradation Assessment in Drylands (LADA) Project: Reflections on Indicators for Land Degradation Assessment, the Future of Drylands, January 01: 327-348
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28. Rayegani, B.; G. H. Zehtabian, and S. Barati. 2013. Surveying of Iranian Model of Desertification Potential Assessment. Iranian Journal of Applied Ecology, 2(4):73-99.
29. Sadeghiravesh, M. H. 2014. Zoning the potential of desertification hazard using the MADM approach and Shannon entropy model in the Khezrabad region, Yazd province. Iranian Journal of Soil Research, 28(3): 572-588.
30. Sadeghiravesh, M. H. 2016. Zoning the potential of desertification hazard using the principal component analysis model in the Khezrabad region. Journal of geographic space, 16 (56): 241-261.
31. Sadeghiravesh, M. H. 2020. Desertification hazard zoning using Multi-Attribute Utility Theory (MAUT) model. Environmental Recerches, 10 (20):177-194.
32. Sadeghiravesh, M. H. 2023. Sensitivity analysis of combat desertification strategies in Fuzzy environment in Yazd-Khezrabad sub-catchment (Saduq County). Journal of Watershed Management Research, 13(26): 203-214. doi: http://dx.doi.org/10.52547/jwmr.13.26.203
33. Sadeghiravesh, M. H.; and H. Ahmadi. 2014. Zoning desertification Potential risk in Abozydabad region by using modified numerical taxonomy model. Geographical Space, 14(47): 83-99.
34. Sadeghiravesh, M. H.; and H. Ahmadi, G. R. Zehtabian, M. Rehayi Khoram. 2009. Development of the Numerical Taxonomy (MNT) model to assess desertification: an example of modeling intensity in central Iran. Philippine Agricultural Scientist, Vol 92(2), pp. 213- 227.
35. Sadeghiravesh, M. H.; and H. Khosravi. 2012. Zoning wind erosion potential risk in central Iran using modified numerical taxonomy model. American-Eurasian Journal of Agricultural and Environmental Sciences, 12 (1): 91-99.
36. Sadeghiravesh, M. H.; and H. Khosravi. 2022. Assessment the hazard of desertification using fuzzy TOPSIS logic in GIS environment, Journal of Environmental Sciences and Technalogy, 24(3): 221-229.
37. Sadeghiravesh, M. H.; H. Khosravi, A. Abolhasani, M. Ghodsi, and A. Mosavi. 2021. Fuzzy logic model to assess desertification intensity based on vulnerability indices. Acta Polytechnica Hungarica, 18(3): 7-24.
38. Sadeghiravesh, M. H.; G. H. Zehtabian, and T. Tahmores. 2012. A vulnerability assessment of environmental issue to desertification risk (case study: Khezrabad region, Yazd). Journal of Watershed Management Research, 96 (1): 75-87.
39. Silakhori, E.; M. Ownegh, and M. Soleimani sardo. 2019. Assessment of risk and hazard desertification using Topsis-GIS method (case study: Bashtin, Sabzevar, Razavi province). Journal of Arid Regions Geographics Studies, 9 (35): 44-59.
40. Shannon, C. E. 1948. A Mathematical Theory of Communication. Bell System Technical Journal, 27 (3): 379–423.
41. Sharifi, M.; and Z. Farahbakhsh. 2016. Investigation about temperature and humidity anomalies between pleistocene and present times؛ reconstruction of climate condition using geomorphic evidence (case study: Khezrabad-Yazd). Physical Geography Researches, 47(4): 583-605. Doi: 10.22059/JPHGR.2015.56051
42. Soleimani-damaneh, M; and M. Zarepisheh. 2009. Shannons Entropy Combining the Efficiency Results of Different DEA Models: Method and application. Journal of Expert System with Applications. 36(3): 5146-5150.
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45. Wang, Y.; J. Zhang, E. Guo, and Z. Sun. 2015. Fuzzy comprehensive evaluation- based disaster risk assessment of desertification in Horqin Sand land, China, International Journal of Environmental Research and Public Health, 12: 1703 –1725.
46. Zak, J. 2005. The Comparison of Multi-Objective Ranking Methods Applied to Solve the Mass Transit Systems Decision Problems. Proceeding of 16th Mini Euro Conferences and 10th Meeting of the Euro Working Group of Transportation (EWGT). Poznan, Poland: 926-941.
47. Zehtabian, G. R .; H. Ahmadi, M. R. Ekhtesasi, and R. Jafari. 2002. Itensity Determination of Wind Erosion in Kashan Area by the Desertification Model. Iranian Journal of Natural Resources, 55(2):145-157
48. Abrisham, E. 2004. Evaluation and mapping of desertification condition in Fakhrabad--Mehriz region with the FAO-UNEP and MICD models. (M.Sc Thesis), University of Tehran. Tehran, Iran.
49. Ahmadi, H.; E. Abrisham, M. R. Ekhtesasi, M. Jafari, and A. Gokarian. 2005. Evaluation and mapping of desertification condition in FAKHRABAD-MEHRIZ region with the ICD and MICD models. BIABAN, 10(1-1): 37-50.
50. Ahmadi, H.; G. H. Zehtabian, M. Jafari, H. Azarnivand. 2006. Iranian model of potential desertification assessment. Faculty of Natural Resources, University of Tehran, Tehran, Iran.
51. Asgharizadeh, E.; and A. Mohammadi Balani. 2021. Multi-attribute decision making techniques. Publication of Tehran University, Tehran, Iran.
52. Asgharpour, M. J. 2014. Multi-Criteria Decision Making. Publication of Tehran University, Tehran, Iran.
53. Aslinezhad, N.; A. Pahlavanravi, N. Basirani, M. Ebrahimi, and R. Kharazmi. 2014. Assessment of land degradation and desertification with use of IMDPA model (Case Study; Chah-hashm Plain, Iran). International journal of Advanced Biological and Biomedical Research, 2: 2644-2650.
54. Azar, A. 1999. Development of Shannon Entropy Method for Data Processing in Content Analysis. Alzahra University Journal of Science, 37-38: 1-18.
55. Azar, A.; and h. Faraji. 2016. Science of fuzzy management. Mehraban press, Tehran, Iran.
56. Azar, A; and A. Rajabzadeh. 2017. Applied Decision Making with an Approach of Multi-Attribute Decision Making (MADM). Publication of Negah Danesh, Tehran, Iran.
57. Bakhshandehmehr, L. 2008. Quantitive assessment of desertification present status in east of Isfahan and a regional model development with emphasis on MEDALUS method. M.sc. Dissertation, University of Isfahan.
58. Bednarik, M.; B. Magulova, M. Matys, and M. Marschalko. 2010. Landslide Susceptibility Assessment of the Kral Ovany–Liptovsky Mikulas Railway Case Study, Physics and Chemistry of the Earth, 35(3-5):162-171.
59. Bidgoli, R. D.; H. Koohbanani, M. Yazdani, and J. Dashti Amirabad. 2019. Risk assessment of land destruction and desertification severity using fuzzy method (case study: Miyandehi, Khorasan Razavi province), Iranian Journal of Range and Desert Research, 25(4): 877-887.
60. D’Odorico, P.; A. Bhattachan, K. Davis, S. Ravi, and C. Runyan. 2013. Global desertification: Drivers and feedbacks. Advances in Water Resources, 51, 326– 344. [DOI:10.1016/j.advwatres.2012.01.013]
61. Ekhtesasi, M. R.; and S. Mohajeri. 1995. Classification of the Type and Severity of Desertification in Iran. Proceeded In 2th National Conference on Desert Areas Issues, Kerman, Iran.
62. EC. 1999. Mediteranean Desertification and Land Use (MEDALUS). London, England, MEDALUS office.
63. FAOUNEP. 1984. Provisional Methodology for Assessment and Mapping of Desertification. Rome, Italy, Food and Agriculture Organization of the United Nations, United Nations Environmental Program.
64. Gharachelo, S.; M. R. Ekhtesasi, M. Zareian Jahromi, and. M. B. Samadi. 2021. Evaluation of current condition of desertification using I.C.D Model, case study: Khezrabad, Yazd. Iranian Journal of Range and Desert Reseach, 17(3): 402-420.
65. Jafari, R.; and L. Bakhshandehmehr. 2016. Quantitative mapping and assessment of environmentally sensitive areas to desertification in central Iran. Land Degradation and Development. 27: 108-119. DOI: 10.1002.ldr.2227.
66. Kardavani, P. 2010. Arid areas, climatic features, drought causes, water issues, Volume I. Publication of Tehran University, Tehran, Iran.
67. Kirkby, M. J.; R. Abrahart, M. D. McMahon, J. Shao, and J. B. Thornes. 1998. MEDALUS soil erosion models for global change, Journal of Geomorphology, 24: 35–49.
68. Koohbanani, H.; J. Dashti Amirabad, S. Nikoo, and A. Taya. 2017. Desertification-intensity zoning through Fuzzy-Logic approach: a case study of Deyhook-Tabas, Iran. Quarterly journal of Environmental Erosion Research, 25(1): 35-49.
69. Koohafkan, A. P.; D. Lantieri, and F. Nachtergaele. 2003. Land Degradation Assessment in Drylands (LADA) guidelines for a methodological approach. Food and Agriculture Organization (FAO), Rome, Italy. www.fao.org/ag/agl/agll/lada/bckgrdocs.stm
70. Lamchin, M.; J. Y. Lee, W. K. Lee, E. J. Lee, M. Kim, C. H. Lim, H. A. Choi, and S. R. Kim. 2015. Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia. Advances in Space Research, 57: 64-77.
71. Maged, E. G.; L. M. Chang, and L. Zang. 2005. Utility- Function Model for Engineering Performance Assessment. Journal of Construction Engineering and Management, 131(5): 558-565.
72. Meixner, O. 2009. Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. In 10th International Symposium on the Analytic Hierarchy/Network Process, 2009: Pittsburgh, USA (Vol. 29).
73. Nachtergaele, F.O.F.; and C. Licona-Manzur. 2009. The Land Degradation Assessment in Drylands (LADA) Project: Reflections on Indicators for Land Degradation Assessment, the Future of Drylands, January 01: 327-348
74. Oldeman, L.R.; R. T. A. Hakkeling, and W. G. Sombroek. 1991. World Map of the Status of Human Induced Soil Degradation. ISRIC/UNEP, Wageningen, Netherlands.
75. Rayegani, B.; G. H. Zehtabian, and S. Barati. 2013. Surveying of Iranian Model of Desertification Potential Assessment. Iranian Journal of Applied Ecology, 2(4):73-99.
76. Sadeghiravesh, M. H. 2014. Zoning the potential of desertification hazard using the MADM approach and Shannon entropy model in the Khezrabad region, Yazd province. Iranian Journal of Soil Research, 28(3): 572-588.
77. Sadeghiravesh, M. H. 2016. Zoning the potential of desertification hazard using the principal component analysis model in the Khezrabad region. Journal of geographic space, 16 (56): 241-261.
78. Sadeghiravesh, M. H. 2020. Desertification hazard zoning using Multi-Attribute Utility Theory (MAUT) model. Environmental Recerches, 10 (20):177-194.
79. Sadeghiravesh, M. H. 2023. Sensitivity analysis of combat desertification strategies in Fuzzy environment in Yazd-Khezrabad sub-catchment (Saduq County). Journal of Watershed Management Research, 13(26): 203-214. doi: http://dx.doi.org/10.52547/jwmr.13.26.203
80. Sadeghiravesh, M. H.; and H. Ahmadi. 2014. Zoning desertification Potential risk in Abozydabad region by using modified numerical taxonomy model. Geographical Space, 14(47): 83-99.
81. Sadeghiravesh, M. H.; and H. Ahmadi, G. R. Zehtabian, M. Rehayi Khoram. 2009. Development of the Numerical Taxonomy (MNT) model to assess desertification: an example of modeling intensity in central Iran. Philippine Agricultural Scientist, Vol 92(2), pp. 213- 227.
82. Sadeghiravesh, M. H.; and H. Khosravi. 2012. Zoning wind erosion potential risk in central Iran using modified numerical taxonomy model. American-Eurasian Journal of Agricultural and Environmental Sciences, 12 (1): 91-99.
83. Sadeghiravesh, M. H.; and H. Khosravi. 2022. Assessment the hazard of desertification using fuzzy TOPSIS logic in GIS environment, Journal of Environmental Sciences and Technalogy, 24(3): 221-229.
84. Sadeghiravesh, M. H.; H. Khosravi, A. Abolhasani, M. Ghodsi, and A. Mosavi. 2021. Fuzzy logic model to assess desertification intensity based on vulnerability indices. Acta Polytechnica Hungarica, 18(3): 7-24.
85. Sadeghiravesh, M. H.; G. H. Zehtabian, and T. Tahmores. 2012. A vulnerability assessment of environmental issue to desertification risk (case study: Khezrabad region, Yazd). Journal of Watershed Management Research, 96 (1): 75-87.
86. Silakhori, E.; M. Ownegh, and M. Soleimani sardo. 2019. Assessment of risk and hazard desertification using Topsis-GIS method (case study: Bashtin, Sabzevar, Razavi province). Journal of Arid Regions Geographics Studies, 9 (35): 44-59.
87. Shannon, C. E. 1948. A Mathematical Theory of Communication. Bell System Technical Journal, 27 (3): 379–423.
88. Sharifi, M.; and Z. Farahbakhsh. 2016. Investigation about temperature and humidity anomalies between pleistocene and present times؛ reconstruction of climate condition using geomorphic evidence (case study: Khezrabad-Yazd). Physical Geography Researches, 47(4): 583-605. Doi: 10.22059/JPHGR.2015.56051
89. Soleimani-damaneh, M; and M. Zarepisheh. 2009. Shannons Entropy Combining the Efficiency Results of Different DEA Models: Method and application. Journal of Expert System with Applications. 36(3): 5146-5150.
90. UNCCD. 1994. United Nations Convention to Combat Desertification. Paris, France, UNCCD press, 56pp.https://www.unccd.int/sites/default/files/relevant-inks/201701/UNCCD_Convention_ENG_0.pdF
91. Van Lynden, G. W. J.; and L. R. Oldeman. 1997. The Assessment of the Status of Human-induced Soil Degradation in South and South East Asia. ISRIC, Wageningen, Netherlands. https://edepot.wur.nl/287427
92. Wang, Y.; J. Zhang, E. Guo, and Z. Sun. 2015. Fuzzy comprehensive evaluation- based disaster risk assessment of desertification in Horqin Sand land, China, International Journal of Environmental Research and Public Health, 12: 1703 –1725.
93. Zak, J. 2005. The Comparison of Multi-Objective Ranking Methods Applied to Solve the Mass Transit Systems Decision Problems. Proceeding of 16th Mini Euro Conferences and 10th Meeting of the Euro Working Group of Transportation (EWGT). Poznan, Poland: 926-941.
94. Zehtabian, G. R .; H. Ahmadi, M. R. Ekhtesasi, and R. Jafari. 2002. Itensity Determination of Wind Erosion in Kashan Area by the Desertification Model. Iranian Journal of Natural Resources, 55(2):145-157
95. Abrisham, E. 2004. Evaluation and mapping of desertification condition in Fakhrabad--Mehriz region with the FAO-UNEP and MICD models. (M.Sc Thesis), University of Tehran. Tehran, Iran.
96. Ahmadi, H.; E. Abrisham, M. R. Ekhtesasi, M. Jafari, and A. Gokarian. 2005. Evaluation and mapping of desertification condition in FAKHRABAD-MEHRIZ region with the ICD and MICD models. BIABAN, 10(1-1): 37-50.
97. Ahmadi, H.; G. H. Zehtabian, M. Jafari, H. Azarnivand. 2006. Iranian model of potential desertification assessment. Faculty of Natural Resources, University of Tehran, Tehran, Iran.
98. Asgharizadeh, E.; and A. Mohammadi Balani. 2021. Multi-attribute decision making techniques. Publication of Tehran University, Tehran, Iran.
99. Asgharpour, M. J. 2014. Multi-Criteria Decision Making. Publication of Tehran University, Tehran, Iran.
100. Aslinezhad, N.; A. Pahlavanravi, N. Basirani, M. Ebrahimi, and R. Kharazmi. 2014. Assessment of land degradation and desertification with use of IMDPA model (Case Study; Chah-hashm Plain, Iran). International journal of Advanced Biological and Biomedical Research, 2: 2644-2650.
101. Azar, A. 1999. Development of Shannon Entropy Method for Data Processing in Content Analysis. Alzahra University Journal of Science, 37-38: 1-18.
102. Azar, A.; and h. Faraji. 2016. Science of fuzzy management. Mehraban press, Tehran, Iran.
103. Azar, A; and A. Rajabzadeh. 2017. Applied Decision Making with an Approach of Multi-Attribute Decision Making (MADM). Publication of Negah Danesh, Tehran, Iran.
104. Bakhshandehmehr, L. 2008. Quantitive assessment of desertification present status in east of Isfahan and a regional model development with emphasis on MEDALUS method. M.sc. Dissertation, University of Isfahan.
105. Bednarik, M.; B. Magulova, M. Matys, and M. Marschalko. 2010. Landslide Susceptibility Assessment of the Kral Ovany–Liptovsky Mikulas Railway Case Study, Physics and Chemistry of the Earth, 35(3-5):162-171.
106. Bidgoli, R. D.; H. Koohbanani, M. Yazdani, and J. Dashti Amirabad. 2019. Risk assessment of land destruction and desertification severity using fuzzy method (case study: Miyandehi, Khorasan Razavi province), Iranian Journal of Range and Desert Research, 25(4): 877-887.
107. D’Odorico, P.; A. Bhattachan, K. Davis, S. Ravi, and C. Runyan. 2013. Global desertification: Drivers and feedbacks. Advances in Water Resources, 51, 326– 344. [DOI:10.1016/j.advwatres.2012.01.013]
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