Book Chapter10.1007/978-3-030-62397-5_10
Identification of Groundwater Potential Zones Using Multi-influencing Factors (MIF) Technique: A Geospatial Study on Purba Bardhaman District of India
Niladri Das,Prolay Mondal,Subhasish Sutradhar,Ranajit Ghosh +3 more
- 27 Feb 2021
- pp 193-213
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TL;DR: In this paper, the authors proposed a method for the delineation of potential groundwater recharge zone by using a popular statistical method, i.e., multi-influencing factors (MIF) along with the application of GIS.
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Abstract: In the present era, the resource crisis and the deterioration of quality of resources is the primary concern of the geographical study. Groundwater resource is the primary depleted resource today due to massive population pressure and indiscriminate use in agriculture. Hence, proper planning and strategies are needed to facilitate groundwater recharge. Therefore, a study, like the delineation of potential groundwater zones, is one of the prime tasks of the geographer, the environmentalist, and the scientist also. Present research involves the assessment of potential groundwater recharge zone by using a popular statistical method, i.e., multi-influencing factors (MIF) along with the application of GIS. Based on the study, three major potential zones have been identified viz. high potential zone, which comprises 20.65% area, moderate potential zone with 45.61% area, and low potential zone covering 33.74% area out of the total geographical area of the Purba Bardhaman district of West Bengal, India. High potential zones are predominantly observed in the extreme west and east of the test area as well as along the river course. Moreover, low potential zones are found in the middle and the southern part of this concerned region. In the end, validation of these potential zones has been made by taking actual yield from the field observation and comparing it with the prepared potential model. Therefore, this kind of study for the delineation of potential groundwater zones is very much relevant for the improvement of groundwater status in the era of the water crisis. The validation of this model proves that this model is 73.17% accurate for the identification of the potential groundwater zones.
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Citations
Delineation of groundwater potential zone by integrating groundwater quality parameters using geospatial techniques and multi-criteria decision analysis – a case study on Chennai coastal watershed, Tamil Nadu, India
TL;DR: In this paper , the authors used the Groundwater Quality Index (GQI) to alter the conventional groundwater potential zoning to quantity-quality potential zoning in the Chennai coastal region, which is experiencing groundwater decline and quality deterioration.
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Groundwater potential zoning by integrating multi-criteria decision and bivariate analysis methods – a case study on Cheyyar River Basin, Tamil Nadu, India
TL;DR: In this article , the authors improved the pairwise decision matrix of the widely used analytical hierarchy process (AHP) to generate groundwater potential zones for Cheyyar River Basin through multi-influencing factor (MIF) and bivariate analysis.
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Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand state, India
Yatendra Sharma,Raihan Ahmed,Tamal Kanti Saha,Nirsobha Bhuyan,Geeta Kumari,Roshani,Swades Pal,Haroon Sajjad +7 more
TL;DR: This study assesses groundwater potential in Nainital district, India, using remote sensing and machine learning algorithms, identifying rainfall, lineament density, and drainage density as significant influencing factors, with multi-layer perceptron as the best fit model.
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Delineation of Groundwater Potential Zone in Sengipatti for Thanjavur District using Analytical Hierarchy Process
G. Siva,N. Nasir,R. Selvakumar +2 more
- 01 Jul 2017
Abstract: Purpose of the ground water is very important to in our world. The condition of the ground water level and occurrence is differing from geological nature of earth. The present study, delineate the ground water potential zone in the hard rock terrain of Sengipatti and surrounding area using Remote sensing, Geographical Information System (GIS) and Multi Criteria Decision Making (MCDM) technique. The Analytical Hierarchy Process (AHP) technique is use to determined the weights of the different themes. Thus thematic layers drainage, geomorphology, land use/land cover, slope, lithology are prepare using Geological Survey of India Toposheets and IRS-IC satellite image. The weights are applied to the thematic layers after linear combination of the all layers. Finally delineate the possible ground water potential zone in the study area. Thus prospective zone are classify the three categories high, moderate, low. It has been total study area of the sengipatti region 32.28% of the area is high ground water potential zone and 34.1% area was moderate ground water potential zone and 33.63% area is low ground water potential zone.
Appraising the accuracy of GIS-based Multi-criteria decision making technique for delineation of Groundwater potential zones
TL;DR: In this paper, a groundwater potential zone is delineated by combining remote sensing, geographical information system (GIS) and multi-criteria decision making (MCDM) techniques in the Durg district, Chhattisgarh.
Multi-criteria decision evaluation in groundwater zones identification in Moyale-Teltele subbasin, South Ethiopia
TL;DR: In this article, the authors presented the results of the attempt made to identify the groundwater potential zones in the Moyale-Teltele Sub basin of the Genale Dawa River Basin in South Ethiopia using the integrated approaches of remote sensing and geographic information systems.
•Journal Article
Assessment of Groundwater Potential Zone in Paschim Medinipur District, West Bengal – A Meso-scale study using GIS and Remote Sensing Approach
TL;DR: In this article, a probability weightage index overlay method was adopted to evaluate groundwater prospective zone based on multi-criteria evaluation approach (e.g., seasonal land use/land cover and vegetation, hydro-geology, geomorphology, soil, drainage density, monsoon and post monsoon water level and elevation).