Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran
Z. Maddahi, A. Jalalian, M.M. Kheirkhah Zarkesh, N. Honarjohttps://doi.org/10.17221/1/2016-SWRCitation:Maddahi Z., Jalalian A., Kheirkhah Zarkesh M.M., Honarjo N. (2017): Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran. Soil & Water Res., 12: 29-38.
Land suitability analysis and preparing land use maps is one of the most beneficial applications of the Geographic Information System (GIS) in planning and managing land recourses. The main objective of this study was to develop a fuzzy multi-criteria decision making technique integrated with the GIS to assess suitable areas for rice cultivation in Amol District, Iran. Several suitability factors including soil properties, climatic conditions, topography, and accessibility were selected based on the FAO framework and experts’ opinions. A fuzzy analytical hierarchical process (FAHP) was used to determine the weights of the various criteria. The GIS was used to overlay and generate criteria maps and a land suitability map. The study area has been classified into four categories of rice cultivation suitability (highly suitable, suitable, moderately suitable, and unsuitable). The present study has attempted to introduce and use the FAHP method to land suitability analysis and to select lands in order to be used as best as possible. Areas that are classified as highly suitable and suitable for rice cultivation constitute about 59.8% of the total area of the region. The results of the present research indicate that the FAHP is an efficient strategy to increase the accuracy of the weight of the criteria affecting the analysis of land suitability.Keywords:
fuzzy analytical hierarchy process (FAHP); GIS; land suitability map; multiple criteria; rice growing; spatial analysisReferences:
Baniya N. (2008): Land suitability evaluation using GIS for vegetable crops in Kathmandu valley/Nepal. Available at http://www.openthesis.org/documents/Land-suitability-evaluation-using-GIS-524359.htmlCeballos-Silva Alejandro, López-Blanco Jorge (2003): Delineation of suitable areas for crops using a Multi-Criteria Evaluation approach and land use/cover mapping: a case study in Central Mexico. Agricultural Systems, 77, 117-136 https://doi.org/10.1016/S0308-521X(02)00103-8Chang Da-Yong (1996): Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649-655 https://doi.org/10.1016/0377-2217(95)00300-2Chang Ni-Bin, Parvathinathan G., Breeden Jeff B. (2008): Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. Journal of Environmental Management, 87, 139-153 https://doi.org/10.1016/j.jenvman.2007.01.011Chen Y., Khan K., Padar Z. (2008): Irrigation intensification or extensification assessment: a GIS-based spatial fuzzy multi-criteria evaluation. In: Proc. 8th Int. Symp. Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, June 25–27, 2008: 309–318.Chen Y., Khan S., Paydar Z. (2010): To retire or expand. A fuzzy GIS-based spatial multi-criteria evaluation framework for irrigated agriculture. Irrigation and Drainage, 59: 17–188.Erensal Yasemin Claire, Öncan Temel, Demircan Murat Levent (2006): Determining key capabilities in technology management using fuzzy analytic hierarchy process: A case study of Turkey. Information Sciences, 176, 2755-2770 https://doi.org/10.1016/j.ins.2005.11.004FAO (1976): A Framework for Land Evaluation: Soils Bulletin No. 32, Rome, FAO.Getachew T.A., Besufekad S.A. (2015): Land suitability analysis for rice production: A GIS based multi-criteria decision approach. American Journal of Geographic Information System, 4: 95–104.Giri Subhasis, Nejadhashemi A. Pouyan (2014): Application of analytical hierarchy process for effective selection of agricultural best management practices. Journal of Environmental Management, 132, 165-177 https://doi.org/10.1016/j.jenvman.2013.10.021Hansen H.S. (2005): GIS-based multi-criteria analysis of wind farm development. In: Proc. 10th Scandinavian Research Conf. Geographical Information Science. Stockholm, Royal Institute of Technology: 75–87.Jiang Hong, Eastman J. Ronald (2000): Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Science, 14, 173-184 https://doi.org/10.1080/136588100240903Kihoro J., Bosco N., Murage H. (2013): Suitability analysis for rice growing sites using a multi criteria evaluation and GIS approach in great Mwea region, Kenya. Available at http://www.springerplus.com/content/2/1/265Konan-Waidhet A.B., Dibi1 B., Kouadio Z.A., Savane I. (2015): Modelling of suitable areas for rain fed rice growing using multi criteria approach in geographic information system: Case of Denguele (North West of Côte d’Ivoire). British Journal of Applied Science & Technology, 6: 95–104.Malczewski Jacek (2004): GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62, 3-65 https://doi.org/10.1016/j.progress.2003.09.002Meng Yunliang (2011): A GIS-Based Multicriteria Decision Analysis Approach for Mapping Accessibility Patterns of Housing Development Sites: A Case Study in Canmore, Alberta. Journal of Geographic Information System, 03, 50-61 https://doi.org/10.4236/jgis.2011.31004Mikhailov L., Tsvetinov P. (2004): Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing, 5, 23-33 https://doi.org/10.1016/j.asoc.2004.04.001Mustafa A.A., Singh M., Sahoo R.N., Ahmed N., Khanna M., Sarangi A., Mishra A. K. (2011): Land Suitability analysis for different crops: A multi criteria decision making approach using remote sensing and GIS. Available at http://www.sciencepub.net/researcherNyeko Martine (2012): GIS and Multi-Criteria Decision Analysis for Land Use Resource Planning. Journal of Geographic Information System, 04, 341-348 https://doi.org/10.4236/jgis.2012.44039Pourkhabbaz H.R., Javanmardi S., Faraji Sabokbar H.A. (2014): Suitability analysis for determining potential agricultural land use by the multi-criteria decision making models SAW and VIKOR-AHP (Case study: Takestan-Qazvin Plain). Journal of Agricultural Science and Technology, 16: 1005–1016.Prakash T.N. (2003): Land suitability analysis for agricultural crops: a fuzzy multi criteria decision making approach. [MSc. Thesis.] Enscheda, International Institute for Geo Information Science and Earth Observation.Rathi Rajeev, Khanduja Dinesh, Sharma S.K. (2015): Synergy of fuzzy AHP and Six Sigma for capacity waste management in Indian automotive industry. Decision Science Letters, , 441-452 https://doi.org/10.5267/j.dsl.2015.1.005Reshmidevi T.V., Eldho T.I., Jana R. (2009): A GIS-integrated fuzzy rule-based inference system for land suitability evaluation in agricultural watersheds. Agricultural Systems, 101, 101-109 https://doi.org/10.1016/j.agsy.2009.04.001Saaty T. (1980): The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation (Decision Making Series). New York, McGraw-Hill.KaurSehra Sumeet, Singh Brar Yadwinder, Kaur Navdeep (2012): Multi Criteria Decision Making Approach for Selecting Effort Estimation Model. International Journal of Computer Applications, 39, 10-17 https://doi.org/10.5120/4783-6989Shariff A.M.,Wan M.D. (2008): Land suitability study using GIS and MCDA in agriculture activities: a land suitability study for harumanis mango in perlis using GIS and MCDA. GIS Bulletin, 2: 33–43.Velasquez M., Hester P.T. (2013): An analysis of multi-criteria decision making methods. Journal of Operations Research, 10: 56–66.Yu Jia, Chen Yun, Wu Jianping, Khan Shahbaz (2011): Cellular automata-based spatial multi-criteria land suitability simulation for irrigated agriculture. International Journal of Geographical Information Science, 25, 131-148 https://doi.org/10.1080/13658811003785571Yu J., Chean Y., Wu J.P. (2009): Cellular automata and GIS based land use suitability simulation for irrigated agriculture. In: 18th World IMACS/MODSIM Congress, Cairns, July 13–17, 2009: 3584–3590.