Delineation of potential groundwater recharge zones in the coastal area of north-eastern India using geoinformatics

Acharya, Tapas; Kumbhakar, Sujoy; Prasad, Raj K.; Mondal, Surajit; Biswas, Arkoprovo

doi:10.1007/s40899-017-0206-4

Cited by 56 publications

(13 citation statements)

References 25 publications

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“…A GIS system involves acquisition of geometric and attribute data. Researchers around the world have used remote sensing and GIS techniques to study groundwater potentials as well as to aid further exploration, which are mainly modeling-dominated context (Al-Bakri and Al-Jahmany 2013; Singh et al 2013;Elbeih 2015;Thakur et al 2017;Acharya et al 2019;Muchingami et al 2019;Shailaja et al 2019;Kumar et al 2020;Sangay et al 2020). For effective groundwater exploration and exploitation, it is important to study the different parameters in an integrated approach.…”

Section: Gis and Remote Sensingmentioning

confidence: 99%

“…The commonly used methods are the geophysical techniques, but they could be time-consuming, especially where large areas are to be covered (Fenta 2015;Oyeyemi et al 2018). However, remote sensing and geographic information system (GIS) provide spatial, spectral and temporal availability of data that have the capability to cover large and inaccessible areas within a short period of time and serve as very useful tool to assess, monitor and manage groundwater resources (Murthy 2000;Khan and Moharana 2002;Hoffman 2005;Jha et al 2007;Tweed et al 2007;Machiwal et al 2011;Al-Bakri and Al-Jahmany 2013;Singh et al 2013;Elbeih 2015;Thakur et al 2017;Acharya et al 2019;Muchingami et al 2019;Shailaja et al 2019;Kumar et al 2020;Sangay et al 2020). Although remote sensors are not capable of detecting groundwater directly, it uses various surface features generated from satellite imagery, such as geology, landforms, rainfall, soil, land use or land cover, surface water bodies which serve as indicators for areas with high groundwater potentials (Todd 1980;Al-Bakri and Al-Jahmany 2013;Elbeih 2015).…”

Section: Introductionmentioning

confidence: 99%

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Integration of remote sensing, GIS and 2D resistivity methods in groundwater development

Omolaiye¹,

Oladapo

Ayolabi

et al. 2020

Appl Water Sci

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An integration of remote sensing, geographical information system (GIS) and 2D resistivity techniques was used to evaluate the groundwater potential of Obafemi Owode local government area (LGA) in Ogun State, southwestern Nigeria. A composite Landsat 7 image was used to produce land use and lineament of the study area. Advanced space-borne thermal emission and reflection radiometer (ASTER) data were used to generate slope and drainage density. The study adopted modified drastic model for groundwater potential, integrating six parameters which are land use, lineament density, slope, drainage density, geology and soil map. The contribution of each theme to groundwater potential was weighted and ranked using ArcGIS 10.2 software. The groundwater potential zone of the study area delineated five distinct zones which include very high (196.39 km 2), high (334.64 km 2), moderate (481.76 km 2), low (298.46 km 2) and very low (95.73 km 2). Eight zones were delineated for further study. A total of 4.8 line km of 2D resistivity profiles were investigated in one of the designated zones labeled "area D" based on the groundwater potential map. Pole-dipole and dipole-dipole arrays used reveal five geoelectric layers within the study area. The 2D inverse models of resistivity variation with depth suggest the occurrence of potential carbonate and silicate aquifers. To verify the interpreted results within the "high" groundwater potential zone, a well was drilled on traverse 1. A potential water-bearing aquifer was encountered at a depth of 75 m. The groundwater potential map of the study area was tested with five existing wells, and the result was impressive. The outcomes from this study show that the high potential zones would play a key role in future expansion of drinking water and irrigation development in the study area.

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Section: Gis and Remote Sensingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integration of remote sensing, GIS and 2D resistivity methods in groundwater development

Omolaiye¹,

Oladapo

Ayolabi

et al. 2020

Appl Water Sci

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“…Scientists have recognized many other factors that influence groundwater chemistry, such as the amount of pores in the aquifer, waste water penetration from shallow salt water, water level rise and seawater incursion (Araguas 2003;Carol et al 2009;Senthilkumar et al 2017;Acharya et al 2017). Several authors have claimed that geological heterogeneities influence hydrogeochemical processes on different scales (Singh et al 2013;Chidambaram et al 2010;Adithya et al 2016;Thilagavathi et al 2017;Olofinlade et al 2018;Devarajet al 2018Devarajet al , 2020.…”

Section: Introductionmentioning

confidence: 99%

Impact of monsoon shower on the hydrogeochemistry of groundwater along the lithological contact: a case study from South India

et al. 2022

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Groundwater chemistry is mainly governed by lithological variations, space and resident time. In addition, hydrogeochemical characteristics of groundwater in the lithological contact zones are too complex. Hence, Cretaceous–Tertiary (KT) boundary from Ariyalur district, Tamilnadu, India, was selected for this study to identify the hydrogeochemistry of groundwater. This study includes 284 groundwater samples from four different seasons (pre-monsoon, post-monsoon, southwest monsoon and northeast monsoon). Groundwater samples were collected and analysed for major cations and anions, including physical parameters using standard procedures. High electrical conductivity (EC) showed the longer residence time of groundwater in hard rock region at the central and southern part of the study area. Ca2+, Na+, Cl− and HCO3− are the dominant ions in all the four seasons. The seasonal composition migration was observed from Na–Ca–Cl–HCO3 type to Na–Mg–Cl–HCO3 type, and Ca-HCO3 is the predominant water type in piper plot. Interpretation of data reveals that the groundwater quality was unsuitable for domestic and irrigation purposes during pre- and southwest monsoon seasons. Rock–water interaction and dissolution of minerals are the main sources of groundwater chemistry. Agriculture activities during monsoonal seasons also play a role in controlling the hydrogeochemistry of groundwater in this region.

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“…Elevation values were taken from the pixel values of processed Shuttle Radar Thematic Mapper (SRTM). The SRTM 90 m is the source data encoded into a referenced data and is advanced in providing high quality elevation values (Acharya et al, 2018). SRTM height values represent the average height of points within the cell.…”

Section: Introductionmentioning

confidence: 99%

Remote sensing signature of geological structures inferred on landsat imagery of Afikpo area Southeastern Nigeria

Okeke¹,

Ukaegbu²,

Egesi³

2019

J. Geol. Min. Res.

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Satellite remote sensing has contributed immensely to the interpretation of linear features and other geological structures. In the study area, lineaments mapped were linear and planar features on satellite imageries that are expression of fractures, or faults within the subsurface. Image lines of different contrast may extend from a few centimetres to several of metres in length. The Landsat imagery used has a spatial resolution of 30 x 30 m, and eleven spectral bands covering the visible and thermal region of electromagnetic spectrum. Four spectral bands were selected and used for the purpose of structural mapping namely; thermal infra-red band (Band 11), 11.5 to 12.51 µm; Short-wave infrared (Band 6), 1.57 -1.65 µm; near Infrared (Band 5) 0.85 to 0.88 µm and Red (Band 4) 0.64 -0.67 µm. Lineaments extracted from the digital satellite scene are concentrated mostly on the sandstone belt in the North-East close to Amasiri area. A total of 116 lineaments were generated. Seven thematic maps were produced; digital elevation model (DEM) was used to create surface features maps, shaded relief and slope while the regional lineament map was digitized from the enhanced colour composites of Landsat ETM (bands 7, 5 and 2) image using ARCGIS 10.0 software for visual extraction and delineation of geological structures which were also ground-truth. The area indicates major NE -SW to minor E -W orientation of lineaments. The lineament density identified indicates regional lineaments are of great importance as indexes for groundwater exploration, mineralization targets, rocks quarrying and structural interpretation.

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Delineation of potential groundwater recharge zones in the coastal area of north-eastern India using geoinformatics

Cited by 56 publications

References 25 publications

Integration of remote sensing, GIS and 2D resistivity methods in groundwater development

Integration of remote sensing, GIS and 2D resistivity methods in groundwater development

Impact of monsoon shower on the hydrogeochemistry of groundwater along the lithological contact: a case study from South India

Remote sensing signature of geological structures inferred on landsat imagery of Afikpo area Southeastern Nigeria

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