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埃塞俄比亚西北部贝莱萨地区采用层次分析法对地面灌溉土地适宜性进行建模

Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia.

作者信息

Wubalem Azemeraw

机构信息

University of Gondar College of Natural and Computational Sciences, Department of Geology, Gondar, Amhara, Ethiopia.

出版信息

Heliyon. 2023 Feb 28;9(3):e13937. doi: 10.1016/j.heliyon.2023.e13937. eCollection 2023 Mar.

Abstract

The objective of this paper was to determine whether the land in Belessa is suitable for surface irrigation. For this, a GIS-based Analytical hierarchy process method was applied. Eight factors/parameters such as soil type, soil depth, soil texture, soil drainage, slope, distance from a water supply, and land cover were used to evaluate the suitability of the area for surface irrigation. The weight of each parameter was calculated using an 8 × 8 pairwise comparison matrix. Then, the land suitability map for surface irrigation was produced by adding weighted parameters using the weighted overlay method under ArcGIS 10.3 software. The land suitability map was divided into four categories: highly suitable (S), moderately suitable (S), marginally suitable (S), and unsuitable (S or N). The results show that 12.2% of the study area is not suitable (S4 or N1) for surface irrigation, whereas 13.9% of the study area is highly suitable (S1) for surface irrigation. Marginally (S) and moderately suitable (S) classes covered 26.9%, and 46.9% of the study area, respectively. The accuracy of the model was evaluated by overlaying preexisted irrigation scheme in the study area, which falls under highly and moderately suitable area, confirms that the model is accurate. Therefore, this result will be important to increase crop production in the study area, by implement surface irrigation in highly and moderately suitable lands.

摘要

本文的目的是确定贝莱萨的土地是否适合地面灌溉。为此,应用了基于地理信息系统的层次分析法。使用土壤类型、土壤深度、土壤质地、土壤排水、坡度、距水源距离和土地覆盖等八个因素/参数来评估该地区进行地面灌溉的适宜性。使用一个8×8的成对比较矩阵计算每个参数的权重。然后,在ArcGIS 10.3软件下,使用加权叠加法将加权参数相加,生成地面灌溉的土地适宜性图。土地适宜性图分为四类:高度适宜(S1)、中度适宜(S2)、勉强适宜(S3)和不适宜(S4或N1)。结果表明,研究区域的12.2%不适合(S4或N1)地面灌溉,而13.9%的研究区域高度适合(S1)地面灌溉。勉强适宜(S3)和中度适宜(S2)类别分别覆盖了研究区域的26.9%和46.9%。通过将研究区域内现有的灌溉方案叠加在高度适宜和中度适宜的区域上,对模型的准确性进行了评估,证实该模型是准确的。因此,通过在高度适宜和中度适宜的土地上实施地面灌溉,这一结果对于提高研究区域的作物产量具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26b9/10008986/f1152e37cb5c/gr1.jpg

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