Evaluation of land suitability for irrigation using fuzzy analytic hierarchy process

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نوع سند: مقاله ژورنالی
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JR_IAR-39-1_008

تاریخ نمایه سازی: 6 اردیبهشت 1400

Abstract:

Use of new techniques to evaluate irrigation areas can enhance water use efficiency in agriculture. In this study, the fuzzy analytic hierarchy Process (FAHP) was used to qualitative land suitability for sprinkler irrigation and was compared with the parametric method. Evaluation based on parametric method showed that an area of about ۱۵۹۷.۸۳ hectares (۳۱%) of the lands was highly suitable (S۱) and an area of about ۷۸۷.۳ hectares (۱۵%) was “moderately suitable” (S۲). About ۲۲۴۲.۹ hectares (۴۳%) were marginally suitable (S۳). Permanently inappropriate suitability included about ۵۴۶.۹۱ hectares (۱۱%). Inappropriate in present condition suitability matched no land in the study zone. Based on the Fuzzy Analytic Hierarchical Process, there was not highly suitable (S۱) area in the plain. The parts with S۲ suitability also included an area of about ۴۳۲.۹۶ hectares (۸.۳%). Moreover, areas of about ۳۱۰۰.۹۸ hectares (۵۹.۹%) were marginally suitable (S۳). Some southwest and eastern parts of the plain were not currently suitable (N۱) that included an area of about ۱۲۷۷.۶۸ hectares (۲۴.۶%). N۲ suitability was also observed in some southern in two parts including an area of about ۳۶۳.۳۸ hectares (۷%). Since about ۳۱% of the lands were included as "highly suitable" areas based on the parametric method, and in contrast, there was no "highly suitable" areas in FAHP method, so considering the area of "highly suitable" shown that there was a significant difference between the two methods in terms of "highly suitable" land evaluation. Considering the gradual changes in soil properties, FAHP evaluation has higher accuracy than the ordinary parametric method in evaluating land suitability.

Keywords:

Fuzzy Analytic Hierarchical Process , geographical information system (GIS) , land evaluation , Parametric , Sprinkler irrigation

Authors

Yaser Hosini

Moghan College of Agriculture and Natural Resources - Mohaghegh Ardabili University, Ardabil, I. R. Iran

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  • Akbarzadeh, A., Mehrjardi, R. T., Rouhipour, H., Gorji, M., & ...
  • Albaji, M., Golabi, M., Boroomand Nasab, S., & Nazari Zadeh, ...
  • Albaji, M., Landi, A., Mravvej, K., & Broomand Nasab, S., ...
  • Bagherzadeh, A., Ghadiri, E., Souhani Darban, A., & Gholizadeh,  A. ...
  • Bagherzadeh, A., & Mansouri Daneshvar, M. R. M. (2011). Physical ...
  • Bagherzadeh A., & Paymard P. (2015). Assessment of land capability ...
  • Bagherzadeh, A., & Gholizadeh, A. (2016). Modeling land suitability evaluation ...
  • Burrough, P. A., & McDonnell, R. (1998). “Principles of geographical ...
  • Calderon, F., Fiorillo, E., Yan, N., Barberis, A., & minelli, ...
  • Dengiz, O. (2006). Comparison of different irrigation methods based on ...
  • Elaalem, M. (2013). A comparison of parametric and fuzzy multi- ...
  • Feizizadeh, B., & Blaschke, T. (2013). Land suitability analysis for ...
  • Hamzeh, S., Mokarramb, M., & Alavipanaha, S. K. (2014). Combination ...
  • Houshyar, E., Smith, P., Mahmoodi-Eshkaftaki, M., & Azadi, H. (2017). ...
  • Hoseini, Y., & Kamrani, M. (2018). Using a fuzzy logic ...
  • Hoseini, Y. (2019). Use fuzzy interface systems to optimize land ...
  • Karatalopoulos, S. V. (2000). Understanding neural networks and fuzzy logic- ...
  • Karimi, F., Sultana, S., Shirzadi Babakan, A., Royall, D. (2018). ...
  • Khashei Sivaki, A., GHahreman, B., & Koochakzadeh, M. (2012). Fuzzy-analytic ...
  • Keshavarzi, A., & Sarmadian, F. (2009). Investigation of fuzzy set ...
  • Koorehpazan, A. (2008). Principles of fuzzy set theory and its ...
  • Klein, L. (1999). Sensor and data fusion concepts and applications. ...
  • Laffan, M., & Rees, S. (2004). Site suitability for spray ...
  • Lu, l., Shi, Zh., Yin, W., Zhu, D., Sai, N., ...
  • Miháliková, M., & Dengiz, O. (2019). Towards more effective irrigation ...
  • Mirzaiie Takhtgahi, H., Broomand Nasab, S., Behzad, M., & Ghamarnia, ...
  • Mottakan, A., Shakiba, A., Hoseinpur, A., & Ebadi, A. (2009). ...
  • Naseri, A. A., Rezania, A. R., & Albaji, M. (2009). ...
  • Qureshi, M. R. N., Singh, R. K., & Hasan, M. ...
  • Ramzi, R., Shahidi, A., & Khashei, A. (2014). Finding the ...
  • Roy, J., Saha, S. (2018). Assessment of land suitability for ...
  • Singha, C., & Chandra Swain, K. (2016). Land suitability evaluation ...
  • Seyedmohammadi, J., Sarmadian, F., Jafarzadeh, A. A., Ghorbani, M. A., ...
  • Sys, C., Vanranst E., & Debaveye, J. (1991). Land evaluation. ...
  • Turkish statistical institute, agricultural statistics summary (2018).  Retrieved from: https://www.library.illinois.edu/ias/iri/turkish/turk_stat_inst ...
  • Torrieri, F., & Batà, A. (2017). Spatial multi-criteria decision support ...
  • Uyan, M. (2013). GIS-based solar farms site selection using analytic ...
  • Zadeh, L. (1965). Fuzzy sets. Information Control. 8, 338-353. ...
  • نمایش کامل مراجع