GIS based surface hydrological modelling in identification of groundwater recharge zones

Saraf, A. K.; Choudhury, Pallabee; Roy, B. K.; Sarma, B.; Vijay, Sandip; Choudhury, Swapnamita

doi:10.1080/0143116042000274096

Cited by 88 publications

(45 citation statements)

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“…. , n) values are the independent variables [49]. The extracted linear model becomes an LR depending on the presence/absence of a flood given the values of the independent variables that were related to flood occurrence in previous years.…”

Section: Methodsmentioning

confidence: 99%

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Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

Lee

et al. 2018

Sustainability

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Using geographic information system (GIS) tools and data-mining models, this study analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea. We created a spatial database of data describing factors including topography, geology, soil, and land use. We used 2010 flood data for training and 2011 data for model validation. Frequency ratio (FR) and logistic regression (LR) models were applied to 2010 flood data to determine the relationships between the flooded area and its causal factors and to derive flood-susceptibility maps, which were substantiated using the area flooded in 2011 (not used for training). As a result of the accuracy validation, FR and LR model results were shown to have 79.61% and 79.05% accuracy, respectively. In terms of sustainability, floods affect water health as well as causing economic and social damage. These maps will provide useful information to decision makers for the implementation of flood-mitigation policies in priority areas in urban sustainable development and for flood prevention and management. In addition to this study, further analysis including data on economic and social activities, proximity to nature, and data on population and building density, will make it possible to improve sustainability.

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Section: Methodsmentioning

confidence: 99%

“…Topography plays an extensive role in hydrogeological systems [49]. We created a digital elevation model (DEM) by applying the triangulated irregular network (TIN) method to contours digitized from a topographical map.…”

Section: Spatial Datasetsmentioning

confidence: 99%

Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

Lee

et al. 2018

Sustainability

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“…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). Multi-criteria analysis (MCA) process provides an optimum solution in which the uncertainties associated with evaluating criteria are ranked on the basis of overall performance of various input with respect to the multiple objectives (Aher et al 2013).…”

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

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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.

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“…In order to implement artificial groundwater recharge, it is essential to delineate potential groundwater recharge zones. Conventionally piston-flow model (Zimmermann et al, 1967;Munnich, 1968;Gupta and Sharma, 1984;Athavale et al, 1992;Rangarajan and Athavale, 2000;Chaulya, 2004;Chand et al, 2005;Mondal et al, 2009;Rangarajan et al, 2009;Samadder et al, 2011), remote sensing (Saraf et al, 2004;Chowdary et al, 2009;Elewa and Qaddah, 2011), photogeological (Salama et al, 1994;Jackson, 2002), hydrogeological (Fetter, 2001;Scanlon et al, 2002;Nonner, 2006;Kumar et al, 2011) and geophysical methods (Shankar and Mohan, 2005;Maliva et al, 2009), 14 C-age dating (Bredenkamp and Vogel, 1970), entropy method (Mondal and Singh, 2010) and regional groundwater models (Sibanda et al, 2009) have been deployed to select favorable sites for implementation of artificial recharge schemes.…”

Section: Introductionmentioning

confidence: 99%

Demarcation of prospective groundwater recharge zones in hard rock area from Southern India

Mondal¹,

Sankaran²,

Singh³

2011

Sci. Res. Essays

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In semi-arid regions, particularly in hard rock areas (Southern India), shallow aquifers are a major source of potable groundwater. These aquifers are indiscriminately exploited to meet the growing demand of water for domestic, irrigation as well as industrial uses. In order to achieve sustainable development, it is essential not only to delineate the groundwater potential zones but also suitable augmentation schemes which, in turn, require delineation of feasible recharge zones. Such zones are conventionally delineated through the application of various indirect methods, such as geological, hydro-geomorphological, geophysical, 14 C-age dating, tracer, entropy method, and groundwater modeling. These methods are, in general, time consuming and may not be economical in the developing countries. A simple, efficient and cost-effective based on cross-correlation method, which takes into consideration the shallow aquifer response to rainfall, is presented to delineate groundwater recharge zones in hard rock areas. The zones so delineated were compared with the results obtained from remote sensing (RS) and GIS techniques and were further validated with the aid of estimated recharge values calculated using the modified water-table fluctuation (WTF) method.

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GIS based surface hydrological modelling in identification of groundwater recharge zones

Cited by 88 publications

References 0 publications

Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

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

Demarcation of prospective groundwater recharge zones in hard rock area from Southern India

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