A geostatistical approach for delineating the potential groundwater recharge zones in the hard rock terrain of Tirunelveli taluk, Tamil Nadu, India

Kirubakaran, M.; Johnny, J. Colins; Ashokraj, C.; Arivazhagan, S.

doi:10.1007/s12517-016-2419-5

Cited by 30 publications

(8 citation statements)

References 16 publications

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“…The groundwater potential zones of upper Dijo catchment were similar with the result of Kudamnya and Andongma (2017), on groundwater potential on sokoto basin of nigeria, Kirubakaran et al (2016) on groundwater recharge on Tamil Nadu, India, and Bashe (2017) who conduct groundwater potential zone on middle Awash river basin in which very high and high groundwater potentials were occurred in the alluvial plains/floodplain in the rift floors and poor groundwater potential were found along mountain areas. This is due to percolation of water into the ground from a drainage system that is greater in areas nearer to the drainage line than further away (see Table 2 and Figure 14).…”

Section: Groundwater Potential Zone Of the Catchmentsupporting

confidence: 71%

“…e. Land use/cover. Land use/cover map is one among important governing factors to identify groundwater recharge potential regions (Chuma et al, 2013;Kirubakaran et al, 2016;Yeh et al, , 2016;and;Gadrani et al, 2018). Hydrological actions such as evapotranspiration, surface runoff, and infiltration are affected by land use/cover.…”

Section: Methods For Extraction Of Parameters Amentioning

confidence: 99%

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AHP based analysis of groundwater potential in the western escarpment of the Ethiopian rift valley

Kura¹,

Abrar

Dube

et al. 2021

Geology, Ecology, and Landscapes

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This study investigated groundwater potential in the Western escarpment of the Ethiopian Rift valley, taking Dijo catchment as a case study, an area that is known for its critical shortage of water. Different thematic layers were used to determine the groundwater potential of the catchment. PCI Geomatica and Rockwork were used to automatically extract lineament and lineament orientation, respectively. Weights of parameters were computed using the analytical hierarchy process (AHP). Rank was assigned to each feature class for each thematic map according to their characteristics and interrelationship with groundwater. Once the mapping was done, validation of the estimated result was done. Accordingly, the result indicates that there is a matching between the analysis results and samples taken from boreholes with an accuracy result of 79.2%. The results revealed that nearly half of the catchment was found to have high-to-very-high groundwater potential while the remaining exhibiting limited potential for groundwater. Despite the high potential, there is a critical shortage of water. This is partly attributed to poor planning and limited capacity in identifying water resource potential. Thus, we suggest that efforts should be made to exploit the available water resources thereby to solve the societal problem.

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Section: Groundwater Potential Zone Of the Catchmentsupporting

confidence: 71%

Section: Methods For Extraction Of Parameters Amentioning

confidence: 99%

AHP based analysis of groundwater potential in the western escarpment of the Ethiopian rift valley

Kura¹,

Abrar

Dube

et al. 2021

Geology, Ecology, and Landscapes

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show abstract

“…Seven thematic maps for the study area were prepared and then converted into raster or vector form to be easily integrated with the GIS tools. A weight was assigned to each factor layer according to the different ranking methods [69][70][71][72][73] (Table 3). The weighted sum of all the factor layers was calculated (Figure S6).…”

Section: Geospatial Modelling For Gold Mineralization Zonesmentioning

confidence: 99%

Shear-Related Gold Ores in the Wadi Hodein Shear Belt, South Eastern Desert of Egypt: Analysis of Remote Sensing, Field and Structural Data

et al. 2021

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Space-borne multispectral and radar data were used to comprehensively map geological contacts, lithologies and structural elements controlling gold-bearing quartz veins in the Wadi Hodein area in Egypt. In this study, enhancement algorithms, band combinations, band math (BM), Principal Component Analysis (PCA), decorrelation stretch and mineralogical indices were applied to Landsat-8 OLI, ASTER and ALOS PALSAR following a pre-designed flow chart. Together with the field observations, the results of the image processing techniques were exported to the GIS environment and subsequently fused to generate a potentiality map. The Wadi Hodein shear belt is a ductile shear corridor developed in response to non-coaxial convergence and northward escape tectonics that accompanied the final stages of terrane accretion and cratonization (~680–600 Ma) in the northern part of the Arabian–Nubian Shield. The evolution of this shear belt encompassed a protracted ~E–W shortening and recurrent sinistral transpression as manifested by east-dipping thrusts and high-angle reverse shear zones. Gold-mineralized shear zones cut heterogeneously deformed ophiolites and metavolcaniclastic rocks and attenuate in and around granodioritic intrusions. The gold mineralization event was evidently epigenetic in the metamorphic rocks and was likely attributed to rejuvenated tectonism and circulation of hot fluids during transpressional deformation. The superposition of the NW–SE folds by NNW-trending, kilometer scale tight and reclined folds shaped the overall framework of the Wadi Hodein belt. Shallow NNW- or SSE-plunging mineral and stretching lineations on steeply dipping shear planes depict a considerable simple shear component. The results of image processing complying with field observations and structural analysis suggest that the coincidence of shear zones, hydrothermal alteration and crosscutting dikes in the study area could be a considered as a model criterion in exploration for new gold targets.

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“…These techniques are highly cost-effective and less time-consuming to understand the groundwater potential of a region (Murthy 2000;Leblanc et al 2003;Jha and Peiffer 2006;Prasad et al 2008;Pradhan 2009;Arkoprovo et al 2012;Manap et al 2013;Mallick et al 2015;Rahmati et al 2015;Das et al 2017); the main reason is the availability of satellite data which make the analysis easier (Ganapuram et al 2009) compared to the traditional techniques such as ground drilling, geophysical assessment of lineaments and field observations (Das et al 2017(Das et al , 2018Das and Pardeshi 2018b). Integration of different environmental factors to delineate groundwater potential zone gave satisfactory results of many previous works (Krishnamurthy et al 1996;Rao and Jugran 2003;Lokesha et al 2005;Khan et al 2006;Solomon and Quiel 2006;Avtar et al 2010;Dar et al 2010;Jha et al 2010;Elewa and Qaddah 2011;Magesh et al 2012;Bagyaraj et al 2013;Rahmati et al 2015;Kirubakaran et al 2016;Roy and Sahu 2016;Tahmassebipoor et al 2016;Das et al 2017). Several methods are very prevalent to delineate different groundwater prospect zones using remote sensing and GIS such as multi-criteria decision (Mukherjee et al 2012;Kumar et al 2014;Machiwal and Singh 2015;Das et al 2017), frequency rati...…”

Section: Introductionmentioning

confidence: 92%

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

2018

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In the present days, remote sensing and geographic information system (GIS) techniques are comprehensive tools for the assessment of water resource, its management and conservation. In this study, remote sensing and GIS techniques are taken into consideration for zonation of different groundwater prospects of Pravara basin. Several contributing factors in which groundwater potential of an area entirely or partially depends such as lithology, geomorphology, slope, soil, lineament density, drainage density, land use and rainfall are assessed individually as well as together for making the different groundwater prospect maps through influencing factor (IF) and frequency ratio (FR) techniques. In ArcGIS software, all these thematic layers are prepared using different satellite imageries and conventional data sets, obtained from different sources. All these layers are transformed into high-resolution raster format and meshed together in GIS environment using IF and FR methods. Groundwater prospect maps are constructed as a result of overlay analysis. Based on the constructed map of groundwater prospect zones, as a result of this study, the study area is divided into five categories of different groundwater potential zones: very high, high, moderate, low and very low. Validation of the resultant maps has shown that frequency ratio technique is having higher accuracy (AUC = 73%) compared to the influencing factors (AUC = 69%). The present study of groundwater zonation provides a simple and less time-consuming technique; also, the results can directly be used for planning and sustainable management in Pravara basin.

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A geostatistical approach for delineating the potential groundwater recharge zones in the hard rock terrain of Tirunelveli taluk, Tamil Nadu, India

Cited by 30 publications

References 16 publications

AHP based analysis of groundwater potential in the western escarpment of the Ethiopian rift valley

AHP based analysis of groundwater potential in the western escarpment of the Ethiopian rift valley

Shear-Related Gold Ores in the Wadi Hodein Shear Belt, South Eastern Desert of Egypt: Analysis of Remote Sensing, Field and Structural Data

Integration of different influencing factors in GIS to delineate groundwater potential areas using IF and FR techniques: a study of Pravara basin, Maharashtra, India

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