Land Suitability Evaluation Using TOPSIS Method and Its Comparison with Parametric Methods for Maize Production in Part of Qazvin

Document Type : Research Paper


1 soil science department, faculty of agricultural engineering and technology, university of Tehran

2 soil science department, faculty of agriculture, university of Tehran, Karaj, Iran


Land suitability evaluation by parametric methods (Story and Square Root) are sometimes incompatible with the reality of the field because of the low achieved values of the index. Therefore, the use of new multivariate decision-methods, considering the interactions of the criteria, including the new TOPSIS approach, can be investigated. Based on the grided sampling method, 22 soil profiles were studied in 8210 hectares. The genetic horizons were sampled and physicochemical properties analyzed. Based on the integration of soil unit map and slope, 17 land units were extracted and finally, land suitability maps were prepared for all three Story, Root and TOPSIS parametric methods in land units and GIS. Comparison of the values of land suitability index and yield of corn in the studied units showed that the correlation coefficient are 0.76, 0.76 and 0.78 for Story, TOPSIS and Square root method respectively. The results of this study showed that the Square root method has more validity than the other two methods


Main Subjects

Bagherzadeh, A., & Gholizadeh, A. (2017). Parametric-based neural networks and TOPSIS modeling in land suitability evaluation for alfalfa production using GIS. Modeling Earth Systems and Environment, 3(1), 2.‏
Bagherzadeh, A., & Gholizadeh, A. (2016). Modeling land suitabilit evaluation for wheat production b parametric and TOPSIS approaches using GIS, northeast of Iran. Modeling Earth Systems and Environment, 2(3), 126.‏
Bagherzadeh, H.R.; Bagherzadeh, A.; Moeinrad, H. (2012a). Analysis of parametric approaches in qualitative land suitability evaluation for irrigated wheat (Triticum aestivum L.) cultivation at Neyshabur plain. Journal of Agroecology, 4(2), 121-130. (In Farsi)
Behzadian, M. , Otaghsara, S. K. , Yazdani, M. , & Ignatius, J. (2012). A state-of the-art survey of TOPSIS applications. Expert Systems with Applications, 39 (17), 13051–13069.
Biorani H, Ghofran A (2009) Determining and using technique for order preference by similarity ideal solution (TOPSIS) for ranking of civic region based on crim. Detective2:109–128.
Duckstein. L., and Opricovic, S. (1980). Multiobjective optimization in river basin development. Water Resources Research, 16(1), 14-20
FAO, 1976. A framework for land evaluation system. Soil Bulletin, 32, FAO Rome, 72pp.
Farhadi Bansouleh, B. (2009). Development of a spatial planning support system for agricultural policy formulation related to land and water resources in Borkhar & Meymeh district, Iran. Ph.D. Thesis, ITC/Wageningen University, Enschede/Wageningen. The Netherlands, 267 pp.
Hashemvand, p., Sarmadian, F., Afraz, S. (2015). An investigation of land suitability for irrigated maize, using GIS and AHP in parts of Qazvin plain. International conference on modern research in agricultural science and environment, Malaysia, Kuala lampur. (In Farsi)
Hossain, M. S., & Das, N. G. (2010). GIS-based multi-criteria evaluation to land suitability modelling for giant prawn (Macrobrachium rosenbergii) farming in Companigonj Upazila of Noakhali, Bangladesh. Computers and Electronics in Agriculture70(1), 172-186.‏
Hsieh, M. C., Wang, E. M. Y., Lee, W. C., Li, L. W., Hsieh, C. Y., Tsai, W., ... & Liu, T. C. (2018). Application of HFACS, fuzzy TOPSIS, and AHP for identifying important human error factors in emergency departments in Taiwan. International Journal of Industrial Ergonomics67, 171-179.‏
Hwang, C. L. et Yoon, K.,(1981) Multiple Attribute Decision Making, Methods and Applications: a State of the Art Survey. Lecture notes in economics and mathematical systems, Springer-Verlag, New York, NY.
Khamoshi, S, E. (2017).  Digital soil mapping using decision tree for agricultural land suitability in Abyek, Qazvin province. M.Sc. dissertation, University of Tehran, Iran. (In Farsi)
Khiddir, S.M., 1986. A Statistical Approach in the Use of Parametric Systems Applied to FAO Framework for Land Evaluation (Dissertation) State University of Ghent, Belgium.
Kihoro, J., Bosco, N. J. and Murage, M., (2013). Suitability analysis for rice growing sites using amulticriteria evaluation and GIS approach in greatMwea region, Kenya, Kihoro et al. SpringerPlus, (2):265.
Malczewski, J., 2006. Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach. International Journal of Environmental Technology and Management 6 (1/2), 7–19.
Mateo, J. R. S. C. (2012). Multi criteria analysis in the renewable energy industry. Springer Science & Business Media.
McKenzie, N., Grundy, M., Webster, R., and Ringrose-Voase, A. (2008). Guideline for surveying soil and land resources, CSIRO Publishing, 557p.
Mendas, A., Delali, A., (2012). Integration of MultiCriteria Decision Analysis in GIS to develop land suitability for agriculture: Application to durum wheat cultivation in the region of Mleta in Algeria. Computers and Electronics in Agriculture 83, 117–126.
Prakash TN, (2003). Land suitability analysis for agricultural crops: a fuzzy multi-criteria decision making approach. Msc Thesis, ITC, Netherland.
Sarmadian, F. Fatehi, Sh, Mahmoudi, Sh. (2004). An Investigation for the Determination of Qualitative Land  Suitability for Irrigated Wheat, Barley and Cotton in Eshtehard Area. Iranian, J. Agric. Sci. Vol. 35, No. 3.  (In Farsi)
Sayadi, N. (2018).GIS-Based land capability and suitability evaluation for irrigated agriculture (case study: Karaj-Qazvin). M.Sc. dissertation, University of Tehran, Iran. (In Farsi)
Seyed Jalali, S, A. (2013). Modelling of land suitability evaluation and prediction of land production potential for winter wheat with use of fuzzy systems theory and geostatistics in Gotvand plain, Khuzestan Province. Ph. D. dissertation, University of Tehran, Iran. (In Farsi)
Seyedmohammadi, J. Jafarzadeh, A, A. Sarmadian, F. Shahbazi, F. MA Ghorbani, M, A. (2017).Comparing the Efficiency of TOPSIS, AHP and Square Root Methods in Cultivation Priority Determination for Wheat, Barley and Maize under Sprinkler Irrigation in Dasht-e-Moghan. Iranian journal of water and soil researches, 27 (2), 45-59. (In Farsi)
Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A. A., Ghorbani, M. A., & Shahbazi, F. (2018). Application of SAW, TOPSIS and fuzzy TOPSIS models in cultivation priority planning for maize, rapeseed and soybean crops. Geoderma310, 178-190.‏
Soil Survey Manual. (2017). United States Department of Agriculture. Agriculture Handbook No. 18.
Storie, R., (1978). Storie Index Rating. University of California Division of Agricultural Sciences Special Publication 3203, Oakland.
Sys, C., Van Ranst, E., & Debaveye, J. (1991). Land evaluation part I, principles in land evaluation and crop production calculation. Agricultural Publication.
Van Niekerk, A. (2010). A comparison of land unit delineation techniques for land evaluation in the Western Cape, South Africa. Land Use Policy, 27(3), 937-945.
Zyoud S, Fuchs-Hanusch D. (2017). A bibliometric-based survey on AHP and TOPSIS techniques. 78.158-181.