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Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)

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  • Mokarram, Marzieh
  • Mirsoleimani, Abbas

Abstract

The aim of this research is to determine the land suitability for cultivating citrus in Fars province, Iran. To reach the mentioned aim, a fuzzy method and order weight average (OWA) methods are used for preparing the fuzzy map of each parameter in GIS. At first, some parameters like the water availability (well, spring and river), roads network, aspect, elevation, slope, maximum temperature, minimum temperature, rainfall, relative humidity, sunshine hours, and growing degree days (GDD) were used as input data. After preparing the interpolation map by using IDW, fuzzy map was prepared for each layer by using the fuzzy membership function. Then based on the importance degree of each data, analytic hierarchy process (AHP) method is applied to determine each layer weight and land suitability map. Consequently, the study area is classified into 56.16% as not suitable, 7.69% as low suitable, 25.41% as medium suitable and 10.75% as suitable. Also the results of OWA showed that with increasing risk (no trade-off), all of the study area had good condition for citrus cultivation. In addition, with decreasing risk (no trade-off), almost all of the study area had not suitable for citrus cultivation.

Suggested Citation

  • Mokarram, Marzieh & Mirsoleimani, Abbas, 2018. "Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 506-518.
    • Handle: RePEc:eee:phsmap:v:508:y:2018:i:c:p:506-518
    DOI: 10.1016/j.physa.2018.05.062
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    References listed on IDEAS

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    1. Aragonés-Beltrán, Pablo & Chaparro-González, Fidel & Pastor-Ferrando, Juan-Pascual & Pla-Rubio, Andrea, 2014. "An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects," Energy, Elsevier, vol. 66(C), pages 222-238.
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    Cited by:

    1. Xiaobo Liu & Yukuan Wang & Ming Li, 2021. "How to Identify Future Priority Areas for Urban Development: An Approach of Urban Construction Land Suitability in Ecological Sensitive Areas," IJERPH, MDPI, vol. 18(8), pages 1-21, April.
    2. Songze Wu & Dongyan Wang, 2023. "Storing Grain in the Land: The Gestation, Delineation Framework, and Case of the Two Zones Policy in China," Land, MDPI, vol. 12(4), pages 1-25, April.
    3. Timuçin Everest, 2021. "Suitable site selection for pistachio (Pistacia vera) by using GIS and multi-criteria decision analyses (a case study in Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7686-7705, May.
    4. Jafar Nabati & Ahmad Nezami & Ehsan Neamatollahi & Morteza Akbari, 2023. "An integrated approach land suitability for agroecological zoning based on fuzzy inference system and GIS," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2316-2338, March.
    5. Bahare Moradi & Rojin Akbari & Seyedeh Reyhaneh Taghavi & Farnaz Fardad & Abdulsalam Esmailzadeh & Mohammad Zia Ahmadi & Sina Attarroshan & Fatemeh Nickravesh & Jamal Jokar Arsanjani & Mehdi Amirkhani, 2023. "A Scenario-Based Spatial Multi-Criteria Decision-Making System for Urban Environment Quality Assessment: Case Study of Tehran," Land, MDPI, vol. 12(9), pages 1-24, August.
    6. Rujee Rodcha & Nitin K. Tripathi & Rajendra Prasad Shrestha, 2019. "Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods," Land, MDPI, vol. 8(5), pages 1-22, May.

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