Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS

Sankar

2010

Environ Monit Assess

Remote sensing and geographical information system (GIS) has become one of the leading tools in the field of groundwater research, which helps in assessing, monitoring, and conserving groundwater resources. This paper mainly deals with the integrated approach of remote sensing and GIS to delineate groundwater potential zones in hard rock terrain. Digitized vector maps pertaining to chosen parameters, viz. geomorphology, geology, land use/land cover, lineament, relief, and drainage, were converted to raster data using 23 m×23 m grid cell size. Moreover, curvature of the study area was also considered while manipulating the spatial data. The raster maps of these parameters were assigned to their respective theme weight and class weights. The individual theme weight was multiplied by its respective class weight and then all the raster thematic layers were aggregated in a linear combination equation in Arc Map GIS Raster Calculator module. Moreover, the weighted layers were statistically modeled to get the areal extent of groundwater prospects with respect to each thematic layer. The final result depicts the favorable prospective zones in the study area and can be helpful in better planning and management of groundwater resources especially in hard rock terrains.

Section: Methodsmentioning

confidence: 99%

“…Krishnamurthy et al (1996), Murthy (2000), Obi et al (2000), and Pratap et al (2000) have used GIS to delineate groundwater potential zone. Srinivasa and Jugran (2003) have applied GIS for processing and interpretation of groundwater quality data. GIS has also been considered for multicriteria analysis in resource evaluation.…”

Section: Introductionmentioning

confidence: 99%

Deciphering groundwater potential zones in hard rock terrain using geospatial technology

Sankar

2010

Environ Monit Assess

“…In recent times, digital techniques come out as a rapid and cost-effective tool, and are being used to integrate different data to decipher groundwater potential zones. In recent times, many workers have used the approach of RS and GIS for delineation of groundwater potential zones and artificial recharge sites (Chatterjee and Bhattacharya 1995;Teeuw 1995;Krishnamurthy et al 1996;Saraf and Choudhary 1998;Shahid and Nath 1999;Goyal et al 1999;Murthy 2000;Obi et al 2000;Pratap et al 2000;Shahid et al 2000;Jaiswal et al 2003;Srinivasa and Jugran 2003;Kamal and Midorikawa 2004;Nag 2005;Sener et al 2005;Sreedevi et al 2005;Gustavsson et al 2006;Srivastava and Bhattacharya 2006;Singh et al 2007Jasrotia et al2007Kumar et al 2007;Chenini et al 2010;Machiwal et al 2011;Talabi and Tijani 2011;Kuria et al 2012;Gumma and Pavelic 2013;Nag and Ghosh 2013;Nag and Saha 2014;Olutoyin 2014;Nag and Ray 2015). Furthermore, GIS is also being used for multi-criteria analysis for groundwater resource evaluation (Saraf et al 2004;Rao and Jugran 2003).…”

Section: Introductionmentioning

confidence: 99%

Application of remote sensing, GIS and MCA techniques for delineating groundwater prospect zones in Kashipur block, Purulia district, West Bengal

Nag

Kundu

2018

Appl Water Sci

Demand of groundwater resources has increased manifold with population expansion as well as with the advent of modern civilization. Assessment, planning and management of groundwater resource are becoming crucial and extremely urgent in recent time. The study area belongs to Kashipur block, Purulia district, West Bengal. The area is characterized with dry climate and hard rock terrain. The objective of this study is to delineate groundwater potential zone for the assessment of groundwater availability using remote sensing, GIS and MCA techniques. Different thematic layers such as hydrogeomorphology, slope and lineament density maps have been transformed to raster data in TNT mips pro2012. To assign weights and ranks to different input factor maps, multi-influencing factor (MIF) technique has been used. The weights assigned to each factor have been computed statistically. Weighted index overlay modeling technique was used to develop a groundwater potential zone map with three weighted and scored parameters. Finally, the study area has been categorized into four distinct groundwater potential zones-excellent 1.5% (6.45 sq. km), good 53% (227.9 sq. km), moderate 45% (193.5 sq. km.) and poor ~ 0.5% (2.15 sq. km). The outcome of the present study will help local authorities, researchers, decision makers and planners in formulating proper planning and management of groundwater resources in different hydrogeological situations.

Archives of Mining Sciences

“…In this regard, for groundwater prospectivity modeling, there are several works in which evidence layers were used, which generated only based on surficial data (Jaiswal et al, 2003;Srinivasa Rao & Jugran 2003;Sener et al, 2005). There are also some other research works in which authors used geoelectrical methods following analyses of surficial evidences (e.g., Srivastava and Bhattacharya, 2006), combination of surficial and hydrogeological evidence (Ravi Shankar & Mohan, 2006;Subba Rao, 2006), and integration of surficial, hydrogeological, and geoelectrical evidences (Riyadh et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Prospectivity Modeling of Karstic Groundwater Using a Sequential Exploration Approach in Tepal Area, Iran

Sharifi

Arab-Amiri

Kamkar‐Rouhani

et al. 2017

The purpose of this study is water prospectivity modeling (WPM) for recognizing karstic water-bearing zones by using analyses of geo-exploration data in Kal-Qorno valley, located in Tepal area, north of Iran. For this, a sequential exploration method applied on geo-evidential data to delineate target areas for further exploration. In this regard, two major exploration phases including regional and local scales were performed. In the first phase, indicator geological features, structures and lithological units, were used to model groundwater prospectivity as a regional scale. In this phase, for karstic WPM, fuzzy lithological and structural evidence layers were generated and combined using fuzzy operators. After generating target areas using WPM, in the second phase geophysical surveys including gravimetry and geoelectrical resistivity were carried out on the recognized high potential zones as a local scale exploration. Finally the results of geophysical analyses in the second phase were used to select suitable drilling locations to access and extract karstic groundwater in the study area. wodonośnych pochodzenia krasowego zamodelowano warstwy struktur skalnych dowodzące występowa-nia wód w oparciu o podejście logiki rozmytej. Po wytyczeniu obszarów docelowych, w drugim etapie badań przeprowadzono szczegółowe analizy geofizyczne z wykorzystanie grawimetrii i badań oporności geo-elektrycznej w strefach potencjalnego występowania wód, w aspekcie badania w skali lokalnej. W końcowym etapie, wyniki analiz geofizycznych otrzymane w drugim etapie procedury wykorzystane zostały do wyznaczenia miejsc wykonania odwiertów do uzyskania wód gruntowych pochodzenia krasowego w badanym terenie.Słowa kluczowe: modelowanie występowania wód, badanie sekwencyjne, logika rozmyta, wody gruntowe pochodzenia krasowego