Soils and Water Department, Faculty of Agriculture, Fayoum University, Faiyum, Egypt.
Horticulture Department, Faculty of Agriculture, Fayoum University, Faiyum, Egypt.
Environ Monit Assess. 2019 Aug 2;191(9):535. doi: 10.1007/s10661-019-7649-z.
Selecting the appropriate land use is one of the most important steps toward achieving sustainable development. The main objective of this research is to develop a new method to overcome the contradiction occurring when using the conventional methods to evaluate land suitability for newly reclaimed areas. A spatial model was developed to assess land suitability for wheat in El-Minia Governorate, Egypt, using integration of modeling and geographic information systems-based multi-criteria decision analysis (GIS-MCDA). Land suitability for wheat was performed using two approaches, namely the proposed model (GIS-MCDA) and the parametric method (square root). According to the square root, 75.0% of the study area was classified as not suitable, while the proposed model revealed that 20.5% of the study area was classified as highly suitable and 61.5% as moderately suitable. In order to examine the validity of the proposed model, a comparison was made between the obtained results of both the proposed model and the square root method with the actual yield of the wheat. The correlation coefficient (r) between actual yield and the estimated yield of the square root method was 0.46, while the proposed model gives higher value (r = 0.95), which proves the validity of the proposed model in estimating land suitability for wheat cultivation. The findings of this research revealed that the integration of modeling and GIS-MCDA adopted by the proposed model provides an effective and flexible technique contributing to improve land suitability assessment for wheat in newly reclaimed areas to be more accurate and reliable.
选择合适的土地利用方式是实现可持续发展的最重要步骤之一。本研究的主要目的是开发一种新方法,以克服在使用传统方法评估新开垦地区土地适宜性时出现的矛盾。本研究采用基于模型和地理信息系统的多准则决策分析(GIS-MCDA)集成的方法,开发了一种评估埃及米尼亚省小麦土地适宜性的空间模型。采用两种方法评估小麦土地适宜性,即提出的模型(GIS-MCDA)和参数方法(平方根)。根据平方根,研究区的 75.0%被归类为不适宜,而提出的模型则显示研究区的 20.5%被归类为高度适宜,61.5%为中度适宜。为了检验所提出模型的有效性,将所提出模型和平方根方法的结果与小麦的实际产量进行了比较。平方根方法的实际产量与估计产量之间的相关系数(r)为 0.46,而所提出的模型给出了更高的值(r = 0.95),这证明了所提出的模型在估计小麦种植土地适宜性方面的有效性。本研究的结果表明,所提出的模型采用的模型和 GIS-MCDA 的集成提供了一种有效且灵活的技术,有助于提高新开垦地区小麦土地适宜性评估的准确性和可靠性。