Integrated geophysical, geospatial and multiple-criteria decision analysis techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra, India

Shailaja, G.; Kadam, Ajaykumar; Gupta, Gautam; Umrikar, Bhavana; Pawar, N. J.

doi:10.1007/s10040-018-1883-2

Cited by 64 publications

(19 citation statements)

References 43 publications

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“…It indicates the ability of area to recharge the precipitation. It is the function of geology, geomorphology, rainfall, gradient, land utilization pattern and infiltration capacity of vadose zone [27,28]. Soil and bedrock physiognomies disturb the overland flow in the study area.…”

Section: Drainage Densitymentioning

confidence: 99%

Assessment of recharge potential zones for groundwater development and management using geospatial and MCDA technologies in semiarid region of Western India

2020

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Groundwater recharge potential (GWRP) plays a vital role as it directly or indirectly supports domestic, agriculture and industrial activities by infiltrating the rainwater. The present paper touches upon the methodology delineating groundwater recharge potential zones by applying geospatial and multi-criteria decision analysis (MCDA) to the derived thematic layers based on significant influence of occurrence of groundwater in semiarid watershed of Western India. The satellite imageries and other ancillary data were utilized to generate various thematic layers, viz. slope, geology, drainage density, surface run off, geomorphology, land use/land cover soil and vadose zone. The outcome of study shows that about 24.69% is having high GWRP and 24.17% of the area is moderate for recharge of groundwater, while the low and poor groundwater recharges potential area is about 44.34% and 6.80% of total area, respectively. The validation of the study was done by overlaying point data groundwater well yield on the output final map; it shows good correlation with result. Also, the surplus water availability was calculated based on vadose calculation according to CGWB method; it shows 17.12 MCM vadose region having artificial recharge of 22.77 MCM. The total recharge is about 117.41 MCM, about 30% of the total runoff, i.e. 35.22 MCM is considered as surplus monsoon runoff available for artificial recharge. The result shows that the use of remote sensing, geospatial and MCDA technologies are promising and efficiently recognize the suitable regions for groundwater recharge over other conventional techniques.

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Section: Drainage Densitymentioning

confidence: 99%

Assessment of recharge potential zones for groundwater development and management using geospatial and MCDA technologies in semiarid region of Western India

2020

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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%

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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“…Remote sensing (RS) and geographical information system (GIS) have benefited from joining together primary and numeral data-set (Burrough 1986;Shailaja et al 2019). Remote sensing has played a vital role to map and analysis at synoptic scales (Mahato et al 2019;Chen et al 2019;Gueretz et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

et al. 2021

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Groundwater plays a vital role in the sustainable development of agriculture, society and economy, and it's demand is increasing due to low rainfall, especially in arid and semiarid regions. In this context, delineation of groundwater potential zones is essential for meeting the demand of different sectors. In this research, the integrated approach consisting of analytical hierarchy process (AHP), multiple influence factors (MIF) and receiver operating characteristics (ROC) was applied. The demarcation of groundwater potential zones is based on thematic maps, namely Land Use/Land Cover (LULC), Digital Elevation Model (DEM), hillshade, soil texture, slope, groundwater depth, geomorphology, Normalized Difference Vegetation Index (NDVI), and flow direction and accumulation. The pairwise comparison matrix has been created, and weights are assigned to each thematic layer. The comparative score to every factor was calculated from the overall weight of two major and minor influences. Groundwater potential zones were classified into five classes, namely very poor, poor, moderate, good and very good, which cover an area as follows: 3.33 km2, 785.84 km2, 1147.47 km2, 595.82 km2 and 302.65 km2, respectively, based on AHP method. However, the MIF groundwater potential zones map was classified into five classes: very poor, poor, moderate, good and very good areas covered 3.049 km2, 567.42 km2, 1124.50 km2 868.86 km2 and 266.67 km2, respectively. The results of MIF and AHP techniques were validated using receiver operating characteristics (ROC). The result of this research would be helpful to prepare the sustainable groundwater planning map and policy. The proposed framework has admitted to test and could be implemented in different in various regions around the world to maintain the sustainable practices.

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Integrated geophysical, geospatial and multiple-criteria decision analysis techniques for delineation of groundwater potential zones in a semi-arid hard-rock aquifer in Maharashtra, India

Cited by 64 publications

References 43 publications

Assessment of recharge potential zones for groundwater development and management using geospatial and MCDA technologies in semiarid region of Western India

Assessment of recharge potential zones for groundwater development and management using geospatial and MCDA technologies in semiarid region of Western India

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

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques

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