2014
DOI: 10.1007/s10661-014-4073-2
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Mapping of coastal aquifer vulnerable zone in the south west coast of Kanyakumari, South India, using GIS-based DRASTIC model

Abstract: The south west coast of Kanyakumari district in Tamil Nadu, India, is significantly affected by seawater intrusion and diffusion of pollutants into the aquifers due to unregulated beach placer mining and other anthropogenic activities. The present study investigates the vulnerability of the coastal aquifers using Geographic Information System (GIS)-based DRASTIC model. The seven DRASTIC parameters have been analyzed using the statistical equation of this model to demarcate the vulnerable zones for aquifer cont… Show more

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Cited by 83 publications
(29 citation statements)
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References 62 publications
(66 reference statements)
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“…Thus, Norm I Hazard and Norm I Vulnerability range between 0 and 1. The levels can be classified in equal intervals of 0.2 based on the characteristics of the data because the values are already standardized (see "range of raw data" in the second column of Table 2) [47][48][49][50]. Hazard and vulnerability are categorized into five levels based on the criteria in Table 2.…”
Section: Risk Locationmentioning
confidence: 99%
“…Thus, Norm I Hazard and Norm I Vulnerability range between 0 and 1. The levels can be classified in equal intervals of 0.2 based on the characteristics of the data because the values are already standardized (see "range of raw data" in the second column of Table 2) [47][48][49][50]. Hazard and vulnerability are categorized into five levels based on the criteria in Table 2.…”
Section: Risk Locationmentioning
confidence: 99%
“…It transports the contaminant to the water table vertically. The total recharge for the study area was estimated by adopting Piscopo method (Kaliraj et al 2015) which is considered a better field based method. The relative weight is assigned as 4 for net recharge.…”
Section: Preparation Of Parameters Mapsmentioning
confidence: 99%
“…L'insuffisance de la méthode réside au niveau de sa subjectivité des cotes attribuées à chaque paramètre et la variation de la classification selon les auteurs (Napolitano et Fabbri, 1996). Malgré la faiblesse de cette méthode, elle a fait ses preuves en Amérique (Aller et al, 1987), en Europe (Kaliraj et al, 2014), en Afrique (Akenji et al, 2015) et vu sa flexibilité adaptable à tous les environnements géologiques, elle a été testé récemment dans la localité de Foumbot (Fonka et al, 2019). Mais dans ce travail, les cotes attribuées demeurent dans une gamme fonction de la nature du milieu et la variation dans la classification tient compte de l'influence des activités anthropiques du milieu vu que le model de Aller et al est intrinsèque.…”
Section: Introductionunclassified