Abstract:With an escalatory growth of human population in the 21st century there has been a significant increase in demand of water for human survival. With the limitation of Surface water sources now ground water that contributes to the total annual supply of water consumption and outshines as one of the major sources. The objective of this paper is to review and analyze the area of Gautam Buddh Nagar, Uttar Pradesh using remote sensing and Geographic Information System for identification of groundwater potential zone… Show more
“…Lineaments are geological features noticeable at the earth surface and are reflection of discontinuities on the earth caused by geologic or geomorphic processes (Waikar and Nilawar, 2014). Geologic features that are generally referred to as lineaments include faults, shear zones, fractures, dykes and veins as well as bedding planes and lithologic contacts (Waikar and Nilawar, 2014). In their contribution, the authors further state that lineament density of an area has direct influence on groundwater potential hence it can be used to infer high secondary porosity.…”
Considering the significance of groundwater to population growth, this study interprets high resolution aeromagnetic and land satellite imagery data to explore prospective areas for groundwater occurrence in part of the north-central Basement Complex of Nigeria. The study area lies between longitudes 5030' – 7000' E and latitudes 9030' – 10030' N. To achieve this objective, high resolution aeromagnetic data covering the study area was subjected to magnetic residual separation and analytical signal using Oasis Montaj version 8.4. The Land satellite imagery data was also subjected to false colour composite analysis using ILWISversion 3.3 software. Combination of this analysis aided in mapping of lineaments within the study area. Result of lineaments mapping from analytical signal and land satellite images shows high density lineaments around Wushishi, Zungeru, Tegina Kagara, Pandogari, Alawa, Gurmana and low density lineaments around Bobi, Kuta, Guni, Minna, Tenenge. These lineaments having a dominant trend in the NE-SW and NW-SE, E-W minor directions were interpreted as joints, veins, faults, foliations and lineation of outcrops. Field studies in Tegina, Zungeru and Wushishi falling within areas with high lineament density revealed good groundwater yield from motorized pumps, hand pumps and hand dug wells. This is contrary to what was observed in Gidan Gwari an area attributed to low lineament density where only one hand bore hole out of the seven drilled boreholes was productive.
“…Lineaments are geological features noticeable at the earth surface and are reflection of discontinuities on the earth caused by geologic or geomorphic processes (Waikar and Nilawar, 2014). Geologic features that are generally referred to as lineaments include faults, shear zones, fractures, dykes and veins as well as bedding planes and lithologic contacts (Waikar and Nilawar, 2014). In their contribution, the authors further state that lineament density of an area has direct influence on groundwater potential hence it can be used to infer high secondary porosity.…”
Considering the significance of groundwater to population growth, this study interprets high resolution aeromagnetic and land satellite imagery data to explore prospective areas for groundwater occurrence in part of the north-central Basement Complex of Nigeria. The study area lies between longitudes 5030' – 7000' E and latitudes 9030' – 10030' N. To achieve this objective, high resolution aeromagnetic data covering the study area was subjected to magnetic residual separation and analytical signal using Oasis Montaj version 8.4. The Land satellite imagery data was also subjected to false colour composite analysis using ILWISversion 3.3 software. Combination of this analysis aided in mapping of lineaments within the study area. Result of lineaments mapping from analytical signal and land satellite images shows high density lineaments around Wushishi, Zungeru, Tegina Kagara, Pandogari, Alawa, Gurmana and low density lineaments around Bobi, Kuta, Guni, Minna, Tenenge. These lineaments having a dominant trend in the NE-SW and NW-SE, E-W minor directions were interpreted as joints, veins, faults, foliations and lineation of outcrops. Field studies in Tegina, Zungeru and Wushishi falling within areas with high lineament density revealed good groundwater yield from motorized pumps, hand pumps and hand dug wells. This is contrary to what was observed in Gidan Gwari an area attributed to low lineament density where only one hand bore hole out of the seven drilled boreholes was productive.
“…It has been observed from drainage density measurement made over a wide range of geologic and climatic types that low drainage density is more likely to occur in regions of highly permeable subsoil material under dense vegetative cover and low relief (Waikar and Aditya, 2014). High drainage density is the resultant of impermeable subsurface material, sparse vegetation and mountainous relief.…”
Section: Drainage Densitymentioning
confidence: 99%
“…Geomorphology is the study of the form of the earth, its description and genesis (Gupta, 2003;Waikar and 2014). According to the same author, it reflects various land forms and structural features which are favourable for the occurrence of groundwater.…”
Integrated investigations involving remote sensing and geology have been conducted with the aim of modeling groundwater potential zones within Akure metropolis, Ondo State, Southwestern Nigeria. Groundwater potential zones were delineated with the help of remote sensing and geology. Land sat imageries were used for land use/land cover mapping and lineament analysis for groundwater prospecting. Radar Digital Elevation Model was used for drainage network extraction, slope and geomorphological analysis. All the thematic maps were generated and analyzed in terms of hydrogeological importance and reclassified for integration using ArcGIS 10.5 software. The slope, landuse/landcover, drainage density, lineament density, geomorphology and geological maps generated were integrated with overlay weighted in ArcGIS environment. Suitable ranking and weighting factors were decided based on their capability to store groundwater. This procedure is repeated for all the other layers and resultant layers were reclassified. The groundwater potential zones are classified into five categories of very low, low, moderate, high and very high. The groundwater potential within Akure metropolis is rated as generally low.
“…They have improved the quality and accuracy of groundwater studies [16]. For hydrological investigation and monitoring, spatial and temporal domain information can be generated with remote sensing: analysis, prediction, and validation of data [11]. Large and complex geospatial databases are e ciently managed using GIS technology.…”
Due to population growth and climate change, dependence on groundwater is expected to increase. This growth has put forth a major challenge of management for sustainable groundwater storage. This study illustrates a newly introduced bivariate statistical model with an ensembled data mining approach. Certainty factor (CF), evidential belief function (EBF), frequency ratio (FR) and convolutional neural network (CNN) are four bivariant statistical models. These four models are integrated with the logistic model tree (LMT) and random forest (RF). These models are used for preparing the groundwater potential map (GPM). The receiver operating characteristic (ROC) curve and area under the curve (AUC) were utilized for calculating the accuracy of the groundwater potential maps. The sequence and values of AUC obtained from the results are as CNN-RF (0.923), CF-RF (0.914), EBF-RF (0.911), FR-RF (0.904), CF-LMT (0.893), EBF-LMT (0.872) and FR-LMT (0.817). It can be concluded that the combination of bivariate statistic models and data mining techniques advance the method’s efficiency in creating a potential mapping of groundwater.
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