Development of a parametric-based Analytical Hierarchy Process (AHP) utilizing Geographic Information Systems (GIS) for wheat land suitability evaluation

Q4 Immunology and Microbiology
R. S. Makar, Sahar A. Shahin, Mohamed Abd El-Hady
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Abstract

Wheat is considered one of the most essential crops for Egypt. Nevertheless, it is also one of its largest imports. Therefore, it is important to develop an accurate wheat suitability model to define the most suitable areas for its production. This study aimed to develop a parametric-based Analytical Hierarchy Process (AHP) using Geographic Information Systems (GIS) for land suitability evaluation of wheat in a selected area in El-Beheira governorate, Egypt. The climatic and land parameters influencing wheat production in the studied area were selected and rated according to the parametric method. These parameters included slope, texture, calcium carbonate, sum of basic cations, pH, organic matter, salinity, exchangeable sodium percentage and mean temp. of the growing cycle. The rated parameters were processed according to the AHP. The results were compared with Storie and the Square root methods and field observations. When validated using field observations, the developed method had a higher accuracy suitability evaluation for wheat cultivation in the studied area than the other two methods. According to the developed method, almost all of the studied areas could be classified as very suitable (S1) for wheat cultivation. On the other hand, the wheat suitability evaluation according to the other two methods indicated that most of the studied area could be classified as moderately suitable (S2) and marginally suitable (S3), which contradicted the field survey.  
利用地理信息系统(GIS)开发基于参数的分析层次过程(AHP),用于小麦土地适宜性评估
小麦被认为是埃及最重要的农作物之一。然而,它也是埃及最大的进口商品之一。因此,开发一个精确的小麦适宜性模型来确定最适合小麦生产的地区非常重要。本研究旨在利用地理信息系统 (GIS),开发基于参数的层次分析法 (AHP),用于埃及贝希拉省选定地区的小麦土地适宜性评估。根据参数法,对研究地区影响小麦生产的气候和土地参数进行了选择和评级。这些参数包括坡度、质地、碳酸钙、碱性阳离子总和、pH 值、有机质、盐度、可交换钠百分比和生长周期平均温度。根据 AHP 对评定参数进行了处理。结果与斯托里法、平方根法和实地观测结果进行了比较。经实地观察验证,与其他两种方法相比,所开发的方法对研究地区小麦种植适宜性评价的准确性更高。根据所开发的方法,几乎所有研究区域都可归类为非常适合小麦种植(S1)。另一方面,根据其他两种方法进行的小麦适宜性评价表明,大部分研究区域可归类为中度适宜(S2)和轻度适宜(S3),这与实地调查相矛盾。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Applied and Natural Science
Journal of Applied and Natural Science Immunology and Microbiology-Immunology and Microbiology (all)
CiteScore
0.80
自引率
0.00%
发文量
168
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