نوع مقاله : علمی - پژوهشی

نویسندگان

گروه مهندسی منابع طبیعی و محیط زیست، دانشکده کشاورزی، دانشگاه شیراز، شیراز

چکیده

آمایش سرزمین علمی است که با توجه به ویژگیهای اکولوژیک سرزمین و شرایط اقتصادی اجتماعی آن، نوع استفاده بهینه از سرزمین را مشخص می سازد. غالب روش های ارزیابی توان مورد بررسی مانند روش های ارائه شده توسط سازمان فائو و همچنین روش اکولوژیکی آمایش سرزمین در ایران با توجه به نوع نگرش به محیط و بررسی اجزای آن و نیز برآورد توان بدون پیش داوری و تنها بر اساس توان ذاتی سرزمین استوار است. لیکن این نگرش های محض به محیط، عوامل اقتصادی اجتماعی را نادیده گرفته و برآوردی ناقص در توان واقعی سرزمین بعمل می آورند. در این تحقیق به بررسی توان های اکولوژیک با استفاده از سامانه اطلاعات جغرافیایی و با مدل پیشنهادیEMOLUP (میانگین هندسی و کالیبره) پرداخته شده است. سپس مقایسه ای بین مدل های توان اکولوژیک (مخدوم)، اصلاح شده آن و میانگین حسابی برای کاربری های مختلف صورت گرفته است. نتایج نشان داد که مدل پیشنهادیEMOLUP از قابلیت بالاتری به منظور برآورد توان واقعی سرزمین در شهرستان جهرم با اقلیم خشک و نیمه خشک برخوردار است.

کلیدواژه‌ها

عنوان مقاله [English]

Suggestion a new model as EMOLUP to land capability evaluation ‎ ‎(A case study: Jahrom Township)‎

نویسندگان [English]

  • Masoud Masoudi
  • Parviz Jokar

Department of Natural Resources and Environmental Engineering, Faculty of Agriculture, University of Shiraz, Shiraz

چکیده [English]

Land use planning is a science that specifies the optimized use of land based on its ecological and socio-economic characteristics. Most assessment methods such as that used by FAO, the Iranian method of land capability survey of the environment and its components and also evaluation calculations without prejudice are all based solely on the inherent territory. However, these methods ignore socio-economic factors and estimate land capability incompletely. In this study, we survey the land capability evaluation using GIS and the EMOLUP (geometric mean and calibration methods) model. Then, comparison was undertaken between the different capability evaluation models, such as makhdoum, its revision and arithmetic method for different uses. The results showed that the proposed model (EMOLUP) has higher accuracy for estimating the real capability in the arid and semi-arid study area.

کلیدواژه‌ها [English]

  • Capability Assessment
  • Proposed Model
  • Ecological Model
  • Geometric Mean
  • EMOLUP‎

‎1.‎ Ahmadi, H. (2004). Iranian Model of Desertification Potential Assessment. Faculty of Natural Resources, ‎University of Tehran. [In Persian]‎

‎2.‎ Amiri. M.J., Salman Mahini, A. Jalali, G.H., Hosseini, M. and Azari Dehkordi, F. (2010). A Comparison of ‎Maps Overlay Systemic Method and Boolean-Fuzzy Logic in the Ecological Capability Evaluation of No. 33 and ‎‎34 Watershed Forests in Northern Iran. Environmental Sciences, 7: 109-124. [In Persian] ‎

‎3.‎ Ayoubi, Sh. and A. Jalalian. (2006) Land evaluation (Agriculture and Natural Resources). Isfahan: ‎Isfahan University of Technology. [In Persian]‎

‎4.‎ Babaie, S. (2006).Environmental evaluation for forest land Classification by using of GIS (Case study in ‎Kazem-rood Watershed, North of Iran). JOURNAL OF AGRICULTURAL SCIENCES, 12: 67-80. [In Persian] ‎

‎5.‎ Baja, S., Chapman, D.M., Dragovich, D. (2006). A conceptual model for defining and assessing land ‎management units using a Fuzzy modeling approach in GIS Environment. Environmental Management, 29: 647-‎‎661.‎

‎6.‎ Burrough, P.A., MacMallin, R.A. and van Deursen, W. (1992). Fuzzy classification methods for ‎determining land suitability from soil profile observations and topography. Journal of Soil Science, 43: 193-210.‎

‎7.‎ Congalton, R. G. (1991). "A Review of Assessing the Accuracy of Classifications of Remotely Sensed ‎Data". Remote Sensing of Environment, 37: 35-46‎‏.‏

‎8.‎ Davidson, D.A., Theocharopoulos, S.P., and Bloksma, R.J. (1994). A land evaluation project in Greece ‎using GIS and based on Boolean and Fuzzy set methodologies. International Journal Geographic Information ‎System, 8: 369-384.‎

‎9.‎ Ekhtesasi, M.R. and Sepehr, A. (2011). Methods and Models of Desertification Assessment and Mapping. ‎Yazd University, 286p. [In Persian]‎

‎10.‎ Fallahshamsi, S.R. (1997). Accuracy Assessment of Satellite Based Maps Using Sampling. M.Sc ‎Dissertation, Faculty of Natural Resources, University of Tehran, Iran. [In Persian]‎

‎11.‎ ‎ Fallahshamsi, H.R. (2004). Economic Evaluation of Different Land uses in Kalibar - chai Forest -covered ‎Watershed, Using Linear Programming and Geographical Information Systems”, Ph.D. Thesis Report, Natural ‎Resource Faculty, Tehran University, Karaj. [In Persian] ‎

‎12.‎ ‎ F.A.O. (1976). A framework for land evaluation. FAO soil’s bulletin No 32, Rome (Italy), 72pp‎

‎13.‎ Elaalem, M., Comber, A., Fisher, P.‎‏ ‏‎(2010). Land Suitability Analysis comparing Boolean logic with fuzzy ‎analytic hierarchy process. Accuracy 2010 Symposium, July 20-23, Leicester, UK. pp 245-247.‎

‎14.‎ Eldrandaly,‎‏ ‏K.h. (2009).‎‏ ‏Integrating Gene Expression programming and Geographic‏ ‏Information system ‎for solving Multi site land use allocation problem. American Journal of‏ ‏Applied Sciences, 6: 1021-1027.‎

‎15.‎ Ghadimi, M. Hosseini, M. Pourghasemi, H.R. and Moradi, H.R. (2011). Protection Modeling of Manesht ‎and Ghalarang Protected Areas Using Fuzzy logic. Environmental Sciences, 8: 85-106. [In Persian]‎

‎16.‎ Gholami, M. and Rastegar, M. (2010). Study and Analyze the Spatial Distribution of the Urban Population ‎of Fars Province Using the First Indicators of Urban and Focus. Urban Planning, 1: 117-130. [In Persian]‎

‎17.‎ Ghorbani, R. Pourmohammadi, M.R. and Mahmoodzadeh, H. (2014). Environmental Approach in ‎Modeling Land use change in Tabriz city using Multi-temporal satellite images, MCE and Markov chain (1984-‎‎2038). Urban studies, 2: 13-300. [In Persian]‎

‎18.‎ Kosmas, C., Poesen, J., Briassouli, H. (1999). Key indicators of desertification at the Environmentally ‎Sensitive Areas (ESA) scale, The Medalus Project: Mediterranean Desertification and Land Use. Manual on Key ‎Indicators of Desertification and Mapping Environmentally Sensitive Areas to Desertifica‌tion. Project report. ‎European Commission.‎

‎19.‎ Luino, F., Turconi, L., Petrea, C. and Nigrelli, G.(2012). "Uncorrected land-use planning highlighted by ‎ï‌‚ooding: the Alba case study (Piedmont, Italy)". Natural Hazards and Earth Systems Science Journal, 12: 2329–‎‎2346.‎

‎20.‎ Malczewski, J. (2004). "GIS-based land-use suitability analysis: a critical overview". Progress in Planning, ‎‎62: 3–65‎

‎21.‎ Mansir, A. (2007). A geogeraphic information system (GIS) and multi-criteria analysis for sustainable ‎tourism planning.‎

‎22.‎ McHarg, I.L., 1969. Design with Nature. Wiley, New York.‎

‎23.‎ Mahmoodi, M. (2007). Introduce and study of Advantages and disadvantages of integrated models ‎‎(Boolean, fuzzy) in GIS. Conference of urban GIS, Shomal University, Amol, Iran. [In Persian] ‎

‎24.‎ Makhdoum, M. (2006). Principles of Land Use Planning. University of Tehran, 289p. [In Persian]‎

‎25.‎ Makhduom, M., Darvishsefat, A., Jafarzadeh, H. and Makhdom, A. (2009). Environmental Evaluation ‎and Planning by Geographic Information System. University of Tehran, 304p. [In Persian]‎

‎26.‎ Mirkatooli, J. and Kanani, M.R. (2010). Land Capability Evaluation Of Urban Development Using MCDM ‎And GIS (A Case Study: Sari Township). Human Geography Research, 43: 75-88. [In Persian]‎

‎27.‎ Monavari, S.M., Shariat, S.M. and Sabzghabai, G.H. (2009). Land Capability Evaluation Of Urban ‎Development Using GIS (A Case Study: Zakhard Watershed). 12: 199-208. [In Persian]‎

‎28.‎ Najafinezhad, A. Pishdad Soleimanabad, L. Salmanmahini, A. (2013). Comparison of the efficiency of ‎systematic and multi objective land allocation methods for land use planning using Geographic Information ‎System. Journal of Applied RS & GIS Techniques in Natural Resource Science, 4:1-11. [In Persian]‎

‎29.‎ Oyinloye, M. and Kufoniyi, O. (2013). "Application of IKONOS Satellite Images in Monitoring of Urban ‎Landuse Change in Ikeja, GRA, Lagos, Nigeria". International Journal of Engineering Science Invention, 2: 1-10.‎

‎30.‎ Schor, H. J. and Gray, D. H. (2007). Land-forming: an environmental approach to hillside development, ‎mine reclamation and watershed restoration. John Wiley & Sons. 368 pp‏.‏

‎31.‎ Sepehr, A., Hassanli, A. M., Ekhtesasi, M. R. & Jamali, J. B. (2007). "Quantitative assessment of ‎desertification in south of Iran using MEDALUS method". Environmental Monitoring and Assessment Journal, ‎‎134: 243-254.‎

‎32.‎ Storie, R. (1987). Storie index soil rating. OaHand University of California, division of agricultural ‎sciences, special publication, 32 (3), 10 pp.‎

‎33.‎ Sanaee, M. Fallah Shamsi, S.R. and Ferdowsi Asemanjerdi, H. (2010). Multi-criteria land evaluation, using ‎WLC and OWA strategies to select suitable site of forage plantation (Case study; Zakherd, Fars). Rangeland, 4: ‎‎216-227. [In Persian]‎

‎34.‎ Soltani, M.J. (2001). Locating of Areas Prone to Operation of Floodwater Using GIS. M.S.c Thesis, Faculty ‎of Civil Engineering, Khaje Nasir Toosi University of Technology. [In Persian]‎

‎35.‎ Zarei, R. and Alsheikh, A. (2012). Modeling Of Urban Development Using CA And Genetic Algoritm (A ‎Case Study: Shiraz City). Urban Planning, 3: 1-16. [In Persian]‎