GIS-based Land Suitability Analysis for Surface Irrigation Using Analytical Hierarchy Process Method in East and West Bellessa, Northwestern Ethiopia

Author(s):  
Azemeraw Wubalem

Abstract Bellessa is found in central Gondar, which is affected frequently by drought thanks to spatial and temporal failure of rainfall. Therefore, the agriculture in this area has to be supported by surface irrigation. For this, land suitability analysis for surface irrigation is extremely important to scale back food security problem. GIS-based land suitability analysis was conducted using analytical hierarchy process methods. Eight factors like slope, elevation, distance to water source, land use, soil texture, type, depth, and drainage are considered and therefore the weight of every parameter was estimated using 8x8 pairwise comparison matrix. After all, final land suitability map was generated using weighted overlay method under GIS tool. the ultimate map was classified into four land suitable classes using natural break classification method as highly suitable (S1), moderately suitable (S2), marginally suitable (S3), and not suitable class (S4). The result showed that highly suitable, moderately suitable, marginally suitable and not suitable class are covered 13.9%, 46.9%, 26.9%, and 12.2% of the whole area, respectively. This study finding will features a vital role in conducting surface irrigation considering the input parameters and therefore the final demarcated suitable land classes.

2018 ◽  
Vol 2 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Rajendra Zolekar ◽  
Vijay Bhagat

Assessment of land suitability potentials is an important step to detect the environmental limit for sustainable land management (SLM). Land suitability analysis (LSA) is more suitable, beneficial and environmentally acceptable for SLM. It deals with the assessment of land performances for the specific use like agriculture, plantation, etc. The main objective of the present study was to determine the suitable areas for plantation in the Upper Mula and Pravara Basin. GIS based Analytic Hierarchy Process (AHP) was used to analyze land suitability for plantation. Criterion like slope, LULC, depth, texture, moisture, SOC, MWHC, pH, EC and primary nutrients were used. Pairwise comparison matrix was used for calculation of weights for criterion and scores were assigned to sub-criterion using field work, experts’ opinions and literature review. Weighted overlay analysis was used for final output raster map. Then cell values of raster map were divided into four classes i.e. 9, 7, 4 and 1. Finally, these classes have reclassified into four suitability levels according to FAO. About 5% of reviewed land is highly suitable, 23% moderately suitable, 14% marginally suitable and 58% not suitable for plantation in the region.


2017 ◽  
Vol 198 ◽  
pp. 1128-1136 ◽  
Author(s):  
Maher M. Aburas ◽  
Sabrina H.O. Abdullah ◽  
Mohammad F. Ramli ◽  
Zulfa H. Asha’ari

2021 ◽  
Vol 5 (2) ◽  
pp. 59-72
Author(s):  
Rajasekhar M. ◽  
Sudarsana Raju G. ◽  
Nanabhau Kudnar ◽  
Ramachandra M. ◽  
Pradeep Kumar B.

This research proposes an integrated methodology for incorporating RS, GIS and AHP techniques for the assessment of agricultural land suitability. In Kadapa district, Andhra Pradesh, India, study is being done on how to best promote agriculture as a source of income to boost the economy of the region. A combined RS, GIS and AHP techniques has been utilized that incorporates organizing AHP hierarchy, criteria specification, pairwise comparison, and criterion map preparation. Land suitability comparison showed that an area of 4.42 km2 (2.62%) is appropriate for irrigation, while an area of 54.39 km2 (32.33%) is appropriate moderately suitable for rainfed agriculture and 95.76 km2 (56.93%) is marginally suitable for agricultural productions. About 13.64 km2 (8.11%) land is currently not suitable for agricultural production. Additionally, the analysis clearly shows the necessity of a decrease in irrigated agricultural land and an increase in dry farm agricultural land. This application of RS, GIS and AHP based agricultural land suitability analysis is helpful in referring agricultural activities to the areas with good physical and environmental conditions, allowing maximum agricultural efficiency in the countryside, increasing non-agricultural uses in areas with low efficiency, and avoiding the construction and environmental pressures on suitable farmland.


2018 ◽  
Vol 250 ◽  
pp. 05001
Author(s):  
Siti Nor Fatimah Zuraidi ◽  
Mohammad Ashraf Abdul Rahman ◽  
Zainal Abidin Akasah

In order to bring the reduction of damage and defect of heritage buildings, the management needs to use an suitable methodology approach for the element heritage building. The goal of this paper is to make the selection of criteria and attribute by using the Analytical Hierarchy Process (AHP) for heritage building. The selection of criteria and attributes for heritage building are divided into three criteria which are building the structure, building fabric, and building service. By pairwise comparison matrix, the process of selection for criteria and attribute to to enable possible improvements. This finding has shown that all element criteria and attributes in heritage building are important with their function.


2020 ◽  
Vol 13 ◽  
pp. 376-394
Author(s):  
Agus Ristono ◽  
Tri Wahyuningsih ◽  
Eko Junianto

The use of the Analytical Hierarchy Process (AHP) is frequent in supplier selection. First, AHP is a pairwise comparison between criteria. If the pairwise comparisons are inconsistent, the result is invalid. Thus, the process of comparing criteria must be repeated continuously until valid results are obtained. This process takes time and costs so it is considered inefficient. This research proposes the application of the Hamilton chain process into the pairwise comparison matrix. One criterion is symbolized as a knot, while the arc is symbolized as the pairwise comparison value between the two nodes or the connected criterion. In the network model of the AHP method, each node is connected to all other nodes without exception. Whereas in the proposed method, each criterion or node is compared only once. That said, avoiding inconsistencies can be made. The consistency ratio result of the proposed method is found to be consistent


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