Litcius/Paper detail

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

Azemeraw Wubalem

2023Heliyon24 citationsDOIOpen Access PDF

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 1 ), moderately suitable (S 2 ), marginally suitable (S 3 ), and unsuitable (S 4 or N 1 ). 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 3 ) and moderately suitable (S 2 ) 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.

Topics & Concepts

IrrigationEnvironmental scienceSoil textureAnalytic hierarchy processDrainagePairwise comparisonHydrology (agriculture)Land coverSurface irrigationOverlayAgricultural engineeringLand useSoil scienceMathematicsComputer scienceSoil waterGeologyStatisticsCivil engineeringGeotechnical engineeringEngineeringOperations researchBiologyEcologyProgramming languageSoil and Land Suitability AnalysisGroundwater and Watershed AnalysisSmart Agriculture and AI