Identification of groundwater discharge in Cuddalore coast, Tamil Nadu using radium isotopes

Chawla, Diksha; Jacob, Noble; Mohokar, Hemant

doi:10.1007/s10967-014-3004-6

Cited by 13 publications

(1 citation statement)

References 7 publications

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“…Ref. [39] investigated groundwater discharges in coastal zones of the Cuddalore district. The electrical resistivity method is used to identify the source of groundwater pollution in the study region [40].…”

Section: Introductionmentioning

confidence: 99%

Sustainability of Groundwater Potential Zones in Coastal Areas of Cuddalore District, Tamil Nadu, South India Using Integrated Approach of Remote Sensing, GIS and AHP Techniques

et al. 2023

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This paper aims to identify the groundwater-potential zones in coastal zones of the Cuddalore district by integrating remote sensing, Geographic Information System (GIS), and Analytical Hierarchy Process (AHP) techniques. The thematic layers such as geomorphology, landuse/land cover, lineament density, geology, soil, drainage density, rainfall, and slope are considered for the identification of groundwater-potential zones. The groundwater-potential zones are categorized into five zones as ‘very good’, ‘good’, ‘moderate’, ‘poor’, and ‘very poor’. From the study, it is observed that the rainwater/surface water infiltration to the aquifer is high in the eastern region due to flat topography, and thus, these zones possess ‘very good’ and ‘good’ groundwater-potential zones. The groundwater potential in the central region of the study area possesses moderate infiltration capacity, which is suitable for agricultural practices. Moreover, it is also observed that the groundwater potential is ‘poor’ and ‘very poor’ in the northwest region due to steep slopes in which suitable recharge structures should be constructed in these zones to harvest the rainwater. Eventually, the obtained results are validated with existing bore wells in the study area, and it reveals that a GIS-based integrated method is an effective tool for the exploration of groundwater resources with high accuracy.

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Section: Introductionmentioning

confidence: 99%