Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing

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

doi:10.1007/s12040-016-0659-0

Cited by 29 publications

(9 citation statements)

References 38 publications

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“…There is an increasing demand for water to meet domestic uses, as well as industrial and agricultural requirements (de Vries and Simmers 2002). To effectively exploit the water resources of an area, it is imperative to map its groundwater potential zones (Maheswaran et al 2016). This is because productive aquifer zones are localized, and vary with distance (Satpathy and Kanungo, 1976).…”

Section: Introductionmentioning

confidence: 99%

Testing the ability of an empirical hydrological model to verify a knowledge-based groundwater potential zone mapping methodology

Aladejana

Anifowose

Fagbohun

2016

Model. Earth Syst. Environ.

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Groundwater potential characterization is a major component of the developmental strategies required for sustainable management of the water resources of a country. This study explores the potential of Natural Resources Conservation Service (NRCS-CN) estimated runoff/infiltration to verify a knowledge-based groundwater potential zone mapping methodology using remote sensing and GIS. Eight criteria/factors regarded as positive indicators to the existence of groundwater in the study area were mapped and weighted based on the knowledge of the local geology using analytical hierarchy process (AHP). The results from AHP were integrated using Weighted Index Overlay Analysis in a GIS environment to delineate the groundwater potential map of the area. Five classes consisting of very good, good, moderate, fair and poor groundwater potentials, each occupying 4.6, 53.3, 82.22, 37.47, and 0.43 km 2 , respectively, were delineated. They were found to be in agreement with the borehole information of the area. Curve number (CN) for the various land cover types was generated using the NRCS-CN approach. CN was used to compute a qualitative, terrain-based, runoff/infiltration response for rainfall events in the study area, from which a terrain-based runoff map of the area was computed. A comparison between the groundwater potential map and terrain-based runoff map was done using linear regression analysis. The coefficient of determination (R 2) obtained was 0.80. The result indicates a high application efficiency of NRCS-CN method in verifying the accuracy of a GIS-based qualitative groundwater potential mapping.

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Section: Introductionmentioning

confidence: 99%

Testing the ability of an empirical hydrological model to verify a knowledge-based groundwater potential zone mapping methodology

Aladejana

Anifowose

Fagbohun

2016

Model. Earth Syst. Environ.

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“…The comparison of different alternatives establishes the criteria that can represent each characteristic and effect well, and derives the importance of the optimum through evaluation [39]. In this study, AHP was used to assign weights to the assessment items for agricultural drought vulnerability, and a questionnaire was administered to 44 experts in academia and practice [40][41][42].…”

Section: Vulnerability Assessment Methodsmentioning

confidence: 99%

Assessment of Vulnerability to Drought Disaster in Agricultural Reservoirs in South Korea

et al. 2020

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Drought is a natural disaster affecting agriculture worldwide. Drought mitigation and proactive response require a comprehensive vulnerability mapping approach considering various factors. This study investigates the vulnerability to agricultural drought in South Korea based on exposure, sensitivity, and adaptability. The evaluation of agricultural drought factors yielded 14 items, which are categorized into meteorological, agricultural reservoir, social, and adaptability factors. Each item is assigned a weight using the analytical hierarchy process (AHP). We analyzed vulnerability to drought disaster in agricultural reservoirs, and generated vulnerability maps by applying the vulnerability framework for climate change. The generated map was divided into four categories based on drought vulnerability: A (Very high), B (High), C (Moderate), and D (Low). The weights for the meteorological (0.498), agricultural reservoir (0.286), social (0.166), and adaptability (0.05) factors were obtained using AHP. The rating frequencies were 41.91%, 19.76%, 9.58%, and 5.39% for A, B, C, and D, respectively. The western region is extremely vulnerable to meteorological and agricultural reservoir factors, whereas the eastern region is more vulnerable to adaptability. The results of this study visually represent agricultural drought and can be used for evaluating regional drought vulnerability for assisting preemptive drought responses to identify and support drought-prone areas.

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“…Selvarani, et al [9], Samson and Elangovan [10], Maheswaran, et al [11], GeethaSelvarani, et al [12] and Selvarani, et al [13].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2024

JENR

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Groundwater is a precious resource and need to be carefully protected since withdrawal rates exceed recharge rates at many places in the world. In order to augment the groundwaterresource, rainwater harvesting is to be adopted.Geographic Information System (GIS) is the tool currently available to handle large volume of spatial data along with attributes. The study area selected is Coimbatore corporation (old) in Tamil Nadu, India. Maps like soil distribution, slope, geology, geomorphology and lineament were classified using Arcview GIS. The Model Builder in the Arc View GIS was used to give Weightage for various layers and select site suitable for recharge structures. Suitable locations for rain water harvesting to augment groundwater were selected for Coimbatore city

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Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing

Cited by 29 publications

References 38 publications

Testing the ability of an empirical hydrological model to verify a knowledge-based groundwater potential zone mapping methodology

Testing the ability of an empirical hydrological model to verify a knowledge-based groundwater potential zone mapping methodology

Assessment of Vulnerability to Drought Disaster in Agricultural Reservoirs in South Korea

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