层次分析法
环境科学
农业工程
农业
模糊逻辑
土地利用
土壤质地
数学
土壤水分
土壤科学
计算机科学
地理
运筹学
生态学
生物
工程类
考古
人工智能
作者
Ahmad Reza Pilevar,Hamid Reza Matinfar,Akbar Sohrabi,F. Sarmadian
标识
DOI:10.1016/j.ecolind.2019.105887
摘要
The accurate evaluation of land suitability for special agriculture production plays an important role to decrease the negative environmental impacts. The current study aimed to apply fuzzy set, AHP and GIS techniques for analyzing land suitability to wheat and maize production in 5474.27 ha of saline and calcareous soils located in semi-arid regions, east of Iran. The conditioned Latin hypercube sampling approach was applied to take 72 point-samples from the agricultural land use. For evaluating the land suitability climate data, soil and topography information was transformed to a fuzzy set data. After that, an accurate assessment model of land suitability for wheat and maize farming was developed by integrating AHP (analytic hierarchy process) and fuzzy set approaches in ArcGIS environment. The results indicated that the highest specific weight was obtained for soil texture (0.221) and the lowest was found for exchangeable sodium percentage (0.012). Specifically, 14.68% (803.75 ha), 78.23% (4282.53 ha) and 7.08% (387.99 ha) of the studied area were highly, moderately and marginally suitable for wheat production, respectively. Moreover, 2.75% (150.52 ha), 61.51% (3366.99 ha) and 35.74% (1956.76 ha) of this region were highly, moderately and marginally suitable for maize production, respectively. It was concluded that integrating fuzzy set, AHP and GIS techniques could be an accurate and effective method for better land use planning and management for agriculture productions.
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