Groundwater Potential Zone Mapping Using an Integrated Approach of GIS-Based AHP-TOPSIS in Ujjain District, Madhya Pradesh, India

Patidar, Nilesh; Mohseni, Usman; Pathan, Azazkhan I.; Patel, Dhruvesh

doi:10.1007/s41101-022-00141-4

Cited by 9 publications

(4 citation statements)

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“…The benefit of AHP is that it simplifies issue solving by better understanding how to break down challenges. To make sure that all requirements and potential alternatives were followed, it is also feasible to request the participation of specialists [37,38]. It's one of the techniques employed the most in MCDA approaches, as was indicated in the introduction, this concept has been developed by [39].…”

Section: Developing An Analytical Hierarchy Process (Ahp) Modelmentioning

confidence: 99%

“…Field experiences and literature reviews were used to weigh several parameters on a flexible scale from 1 to 5. Then using a few formulae to get the system's normalized weight and consistency ratio (CR) (Figure 10) [38].…”

Section: Developing An Analytical Hierarchy Process (Ahp) Modelmentioning

confidence: 99%

“…The AHP method was applied in the current work to determine the weight for each data layer. One of the most widely used techniques for determining the weights of criterion in the Multi-Criteria Decision Making is AHP (MCDM) [38]. To identify the purpose, criteria, and relationship between them, the hierarchical structure of the subject being studied is created as the first stage in the AHP approach.…”

Section: Derived Priorities (Weights) For the Parametersmentioning

confidence: 99%

“…When the judgements matrix is consistent and the computed weight has been normalized by multiplying the derived weight of all parameters by 100%, it is then possible to rank the features of each parameter for the purpose of a weighted overlay. Features of each thematic layer were ranked on the basis of influence of groundwater potential within each parameter (Table 8) [38,43].…”

Section: Derived Priorities (Weights) For the Parametersmentioning

confidence: 99%

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Groundwater Potential Zone Mapping of Lower Omo- Gibe Watershed, Omo-Gibe Basin, Ethiopia

2023

Geol Earth Mar Sci

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Groundwater accounts for one-third of all freshwater abstractions globally [7]. In many regions of the world where water supplies are limited, groundwater is a crucial natural resource for any economic and social growth [8]. Groundwater supplies are a necessity for all economic activity, both internally and outside. However, a study that combines remote sensing and GIS data can offer a good platform for the converging analysis of massive amounts of data using very advanced cognitive process techniques for groundwater exploration. Nations like Ethiopia are seeing a rise in groundwater demand as a result of the nation's fast urbanization, population growth, and economic development. In the area under examination, groundwater is the most often used resource for agriculture, animal husbandry, and the provision of drinking water. The Lower Omo-Gibe watershed groundwater potential zone mapping will have a significant impact on the sub-basin. Since the Lower Omo-Gibe watershed is the main source of the Omo River, mapping the underground water would improve the nation's groundwater resources' sustainable management. Because of this, the current study is interested in delineating the groundwater potential zones within the study area using remote sensing and GIS technology. Seven determining elements were taken into consideration for the study: slope, landuse landcover, Lineament density, Geology, Elevation, Soil texture, and Drainage density. In order to ensure sustainable management and growth of the resource, groundwater exploration has recently seen a rise in the

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Section: Developing An Analytical Hierarchy Process (Ahp) Modelmentioning

confidence: 99%

Section: Developing An Analytical Hierarchy Process (Ahp) Modelmentioning

confidence: 99%

Section: Derived Priorities (Weights) For the Parametersmentioning

confidence: 99%

Section: Derived Priorities (Weights) For the Parametersmentioning

confidence: 99%

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