Groundwater Vulnerability Assessment for Tirupur Block Using MODFLOW

Babu, O Ganesh; Sashikkumar, M. C.; Saravanan, R.; Pitchaikani, S

doi:10.21276/ijee.2017.10.0119

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…The GIS applications are beneficial in groundwater quality studies, specifically for mapping spatial variations of pollutants, and for the design of groundwater quality monitoring networks (Jha et al, 2007). Many modelling packages and approaches have been applied to GVA, including LEACHM (leaching, estimation, and chemistry model) (Hutson and Wagenet, 1989), RZWQM (root zone water quality model) (DeCoursey et al, 1998;Ma et al, 2001), MACRO 4.3 (Jarvis, 2001, MODFLOW (Harbaugh, 2005;Babu et al, 2017), FEMWASTE (finite element model of waste through saturated-unsaturated porous media) (Yeh and Tripathi, 1991), HYDRUS-1D (Vogel et al, 1996;Simunek et al, 1999b), and HYDRUS-2D/3D (Simunek et al, 1999a;Simunek et al, 2006;Šimůnek et al, 2012). The definitions of these methods are given in Table 3.…”

Section: Process-based Methodsmentioning

confidence: 99%

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Groundwater vulnerability assessment: A review including new statistical and hybrid methods

Taghavi

Niven

Paull

et al. 2022

Science of The Total Environment

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Section: Process-based Methodsmentioning

confidence: 99%

“…The aquifer properties and all other features are then applied to these cells, and the model is solved by running the program. The output data, in the form of groundwater velocity, hydraulic head, and pollutant concentration fields, can be viewed in either two or three-dimensional forms (Harbaugh, 2005, Babu et al, 2017.…”

Section: Process-based Methodsmentioning

confidence: 99%

Groundwater vulnerability assessment: A review including new statistical and hybrid methods

Taghavi

Niven

Paull

et al. 2022

Science of The Total Environment

View full text Add to dashboard Cite

“…The depth to water table is the distance contaminants must travel before reaching the groundwater. It consequently impacts on the degree of interaction between the percolating contaminant and subsurface materials and therefore on the degree, extent, physical, chemical attenuation and degradation processes (Ganesh Babu et al 2016). Thus, the shallower the water depth, the more vulnerable the aquifer is to pollution.…”

Section: Depth To Water (D)/(s)mentioning

confidence: 99%

Groundwater Vulnerability Assessment to Pollution using DRASTIC and SINTACS Methods in Northwestern Douala Basin, Cameroon.

Aduck,

Mufur,

Fonteh

2024

Preprint

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Groundwater is a principal water source in Northwestern Douala Basin in the Littoral Region of Cameroon. The resource is vulnerable to diverse sources of pollutants as agriculture is practiced on a large scale, especially with the presence of a banana plantation in the zone which uses agrochemicals that can deteriorate the quality of the resource. This study employed the DRASTIC and SINTACS models, integrated with GIS tools to evaluate groundwater vulnerability to pollution. A total of 220 wells and boreholes were sampled within Bomono, Souza, Kombe, Moyouka I, Moyouka II, Mbanga and Njombe–Penja. Additionally, the DRASTIC and SINTACS models were modified using sensitivity analysis to adjust the recommended weight value. Standard vulnerability maps of the basin revealed three vulnerability zones for the DRASTIC model: low vulnerability (23%), moderate vulnerability (12%) and high vulnerability (65%). In comparison, the SINTACS model revealed two vulnerability zones of moderate vulnerability (40%) and high vulnerability (60%). Results of sensitivity analysis showed that the area comprises low vulnerability (30%) and moderate vulnerability (70%) for DRASTIC while the SINTACS revealed very low vulnerability (30%), low vulnerability (36%) and moderate vulnerability (34%). Results of both single parameter sensitivity analysis and map removal sensitivity analysis revealed that depth to the water level, impact of vadose zone and recharge have a great influence on aquifer vulnerability. It was noticed that areas of high nitrate concentration correlated with areas of high vulnerability to contamination. Also, depth to water level, impact of vadose zone, and recharge emerged as key factors influencing aquifer vulnerability. Therefore, it is recommended that sustainable farming techniques should be adopted in order to reduce agrochemical usage especially in vulnerable zones, and also establish monitoring programs that could track groundwater quality over time.

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Groundwater Vulnerability Assessment for Tirupur Block Using MODFLOW

Cited by 2 publications

References 1 publication

Groundwater vulnerability assessment: A review including new statistical and hybrid methods

Groundwater vulnerability assessment: A review including new statistical and hybrid methods

Groundwater Vulnerability Assessment to Pollution using DRASTIC and SINTACS Methods in Northwestern Douala Basin, Cameroon.

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