Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing

Selvarani, A. Geetha; Maheswaran, G.; Elangovan, K.

doi:10.1007/s12524-015-0542-5

Cited by 33 publications

(11 citation statements)

References 13 publications

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“…A few studies compared different weight assignment methods through the retrieved criteria weights, e.g., using MIF and pairwise comparison (Jamali et al 2014;Selvarani et al 2017) or the rating method and Boolean logic (Riad et al 2011). 9 7 5 0 7 23 Storage capacity 35 13 6 3 11 58 Storage-flow capacity 22 6 5 0 12 37 Hydrometeorology Precipitation 5 3 2 2 2 9 Runoff 1 4 3 3 1 10 Management Economical 17 7 10 0 4 35 Impact assessment 13 2 6 3 3 26 Surface Geological 9 9 5 1 11 22 Geomorphological 40 24 11 6 21 80 Hydrography 11 12 6 2 16 Note: One study can have more than one criterion that falls into a specific category; the number of regarded studies is given in brackets.…”

Section: Weight Assignment Methodsmentioning

confidence: 99%

Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies

Sallwey

Valverde

López³

et al. 2019

Environ. Rev.

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Suitability maps for managed aquifer recharge (MAR) sites hold a strong potential for integration into sustainable groundwater management plans. An uprising method to identify sites suitable for MAR implementation is geographic information system (GIS)-based multi-criteria decision analysis (MCDA). There are no guidelines or a common understanding on how suitability mapping should be conducted, and there is considerable variability as to what factors are assessed and how they are weighted. To increase knowledge on GIS-MCDA, a database has been built based on 63 studies applying GIS-MCDA in the context of MAR site selection. Information on the criteria, assigned weights, and methodologies has been retrieved from the documents. Statistical analysis of the database depicts the current state of art for suitability mapping methodologies as well as specific information for the different recharge methods. We further incorporated the compiled information into a web-based query tool that makes the information easily accessible and the utilization of the database more user friendly. This review as well as the created web-tool will help planners of MAR sites to engage in the MCDA in a more structured way by referring to previously conducted studies and by finding information suitable for their specific project. The application potential of suitability maps is discussed along with the shortcomings of this methodology.

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Section: Weight Assignment Methodsmentioning

confidence: 99%

Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies

Sallwey

Valverde

López³

et al. 2019

Environ. Rev.

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“…Ahani Amineh et al [36] introduced new parameters for the delineation of suitable zones for MAR application, including erosion density and proximity to existing wells. Remote sensing techniques were used to determine the fracture zones of a fissured rock aquifer in India [37], whereas Ghasemi et al [38] included the hydraulic gradient of the aquifer and distance from rivers to specify suitable zones for MAR application in Iran. Singh et al [39] included drainage order into their GIS-based application in India, while Christy and Lakshmanan et al [40] selected sites for percolation ponds according to the permeability values obtained from an electrical resistivity analysis in a coastal porous aquifer.…”

Section: Literature Reviewmentioning

confidence: 99%

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

Kazakis

2018

Water

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Abstract:Coastal aquifer salinization is usually related to groundwater overexploitation and water table decline. Managed Aquifer Recharge (MAR) can be applied as a measure to reverse and prevent this phenomenon. A detailed literature review was performed to identify the various methods and parameters commonly used to determine suitable sites of MAR application. Based on the review results, a new multi-criteria index (SuSAM) that is compatible to coastal aquifers was developed to delineate suitable zones for MAR application. New parameters were introduced into the index, such as distance from the shore and hydraulic resistance of the vadose zone, while factor weights were determined using the Analytical Hierarchy Process (AHP) and single sensitivity analysis. The applicability of the new index was examined in the coastal aquifer of the Anthemountas basin located in northern Greece. The most suitable areas for MAR application cover 28% of the aquifer's surface area, while 16% of the area was characterized as non-suitable for MAR application. The new method constitutes the first step of the managed aquifer recharge concept for the delineation of MAR-suitable zones in coastal aquifers.

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“…When it is compared and analyzed with the conventional methods of hydrological survey remotely sensed data are usually cost-effective inaccessible areas takes time for management exclusively be of massive significance. The different thematic maps such as geological geomorphological, soil, slope, landuse/cover, drainage, lineament etc delivers various information about factors that are controlling directly or indirectly in the occurrence by groundwater migration of groundwater by using Remote Sensing as well as GIS [1] . Further to handle the large and complex geographical data and to manage groundwater resources GIS perform key main role in geospatial technologies [2] , [3] , [4] , [5] , [6] .…”

Section: Datamentioning

confidence: 99%

Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India

Rajasekhar

Raju

et al. 2018

Data in Brief

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The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the geospatial technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty׳s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good’, ‘moderate’ and ‘poor’. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified.

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Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing

Cited by 33 publications

References 13 publications

Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies

Suitability maps for managed aquifer recharge: a review of multi-criteria decision analysis studies

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

Data on artificial recharge sites identified by geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India

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