Application of frequency ratio, analytical hierarchy process, and multi-influencing factor methods for delineating groundwater potential zones

Autor: Thiyagarajan Saranya, Subbarayan Saravanan, Devanantham Abijith
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Environmental Science and Technology. 19:12211-12234
ISSN: 1735-2630
1735-1472
DOI: 10.1007/s13762-021-03794-1
Popis: Groundwater remains the primary source of freshwater for essential agricultural practice. Two billion people depend on groundwater as their essential source of water. Thus, fifty percent of the groundwater is used to produce food for the globe. Groundwater serves as the main strategic asset in periods of drought. Determining the groundwater potential zones highly facilitates the effective management of available water resources. The current study attempts to find out the potential zones for groundwater using remote sensing and geographical information system. This tool has become deliberate for groundwater potentiality modeling and mapping as it is highly efficient, accurate, and cost-effective. Satellite and conventional data sources include a total of nine parameters, such as rainfall, geology, geomorphology, lineament density, drainage density, soil, land use, slope, and topographic wetness index, which are considered for the identification of groundwater potential by using multicriteria decision-making approaches such as analytical hierarchy process (AHP), frequency ratio (FR), and multi-influencing factor (MIF). The study is applied to Tanjore District where the proposed methodology has not been attempted in earlier studies. The potential groundwater zones obtained were categorized into five classes: very low, low, moderate, high, and very high. The receiver operating characteristic curve was plotted, and the area under the curve was estimated for results, and the precision showed FR 88%, AHP 75%, and MIF 71%. The results will be valuable for controlling water supplies, land-use planning, and environmental management purposes for planners and engineers.
Databáze: OpenAIRE
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