Modeling megech watershed aquifer vulnerability to pollution using modified DRASTIC model for sustainable groundwater management, Northwestern Ethiopia

Vulnerability analysis in areas vulnerable to anthropogenic pollution has become a key element of sensible resource management and land use planning. This study is intended to estimate aquifer vulnerability using the DRASTIC model and using the vertical electrical sounding (VES) and electrical conductivity (EC) outcomes. The model allows for the identification of hydrogeological environments within the scope of the research, based on a composite definition of each environment’s main geological, geoelectrical, and hydrogeological factors. The results from the DRASTIC model were divided into four equal intervals, high, medium, low, and very low drastic index values. The SW area and NE area depict drastic index values from medium to very high, making it the most vulnerable zone in the study area, while the NW and SW areas show low to very low drastic index values. In addition, the results from the VES and EC the freshwater aquifer in the NE area and brackish water in the SE area, while the rest of the area falls into the category of brackish water. Overall, it can be concluded that areas having freshwater assemblages are on the verge of becoming contaminated in the future while the rest of the NW and SW areas constitute less vulnerable zones. The validation conducted for DRASTIC and EC shows a nearly positive correlation. Wastewater treatment policies must be developed throughout the studied region to prevent contamination of the remaining groundwater.

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Groundwater vulnerability mapping using the modified DRASTIC model: the metaheuristic algorithm approach

Environmental Monitoring and Assessment ◽

10.1007/s10661-020-08787-0 ◽

2021 ◽

Vol 193 (1) ◽

Author(s):

Balaji L ◽

Saravanan R ◽

Saravanan K ◽

Sreemanthrarupini N.A

Keyword(s):

Groundwater Vulnerability ◽

Vulnerability Mapping ◽

Metaheuristic Algorithm ◽

Drastic Model ◽

Groundwater Vulnerability Mapping ◽

Modified Drastic

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Estimating Soil Water Susceptibility to Salinization in the Mekong River Delta Using a Modified DRASTIC Model

Water ◽

10.3390/w13121636 ◽

2021 ◽

Vol 13 (12) ◽

pp. 1636

Author(s):

Thanh N. Le ◽

Duy X. Tran ◽

Thuong V. Tran ◽

Sangay Gyeltshen ◽

Tan V. Lam ◽

...

Keyword(s):

Land Use ◽

Soil Water ◽

Management Practices ◽

Global Climate ◽

Anthropogenic Activities ◽

Rapid Development ◽

Anthropogenic Factors ◽

Drastic Model ◽

River Catchment ◽

Modified Drastic

Saltwater intrusion risk assessment is a foundational step for preventing and controlling salinization in coastal regions. The Vietnamese Mekong Delta (VMD) is highly affected by drought and salinization threats, especially severe under the impacts of global climate change and the rapid development of an upstream hydropower dam system. This study aimed to apply a modified DRASTIC model, which combines the generic DRASTIC model with hydrological and anthropogenic factors (i.e., river catchment and land use), to examine seawater intrusion vulnerability in the soil-water-bearing layer in the Ben Tre province, located in the VMD. One hundred and fifty hand-auger samples for total dissolved solids (TDS) measurements, one of the reflected salinity parameters, were used to validate the results obtained with both the DRASTIC and modified DRASTIC models. The spatial analysis tools in the ArcGIS software (i.e., Kriging and data classification tools) were used to interpolate, classify, and map the input factors and salinization susceptibility in the study area. The results show that the vulnerability index values obtained from the DRASTIC and modified DRASTIC models were 36–128 and 55–163, respectively. The vulnerable indices increased from inland districts to coastal areas. The Ba Tri and Binh Dai districts were recorded as having very high vulnerability to salinization, while the Chau Thanh and Cho Lach districts were at a low vulnerability level. From the comparative analysis of the two models, it is obvious that the modified DRASTIC model with the inclusion of a river or canal network and agricultural practices factors enables better performance than the generic DRASTIC model. This enhancement is explained by the significant impact of anthropogenic activities on the salinization of soil water content. This study’s results can be used as scientific implications for planners and decision-makers in river catchment and land-use management practices.

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DIAGNOSTIC ANALYSIS AND FINE TUNING OF SKIMMING WELL DESIGN AND OPERATIONAL STRATEGIES FOR SUSTAINABLE GROUNDWATER MANAGEMENT - INDUS BASIN OF PAKISTAN

Irrigation and Drainage ◽

10.1002/ird.636 ◽

2011 ◽

Vol 61 (2) ◽

pp. 270-282 ◽

Cited By ~ 3

Author(s):

M. Ashraf ◽

A. Bhatti Zeeshan ◽

Zakaullah

Keyword(s):

Groundwater Management ◽

Fine Tuning ◽

Indus Basin ◽

Diagnostic Analysis ◽

Operational Strategies ◽

Sustainable Groundwater Management ◽

Well Design

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Application of a GIS-based DRASTIC model and groundwater quality index method for evaluation of groundwater vulnerability: a case study, Sefid-Dasht

Water Science & Technology Water Supply ◽

10.2166/ws.2015.032 ◽

2015 ◽

Vol 15 (4) ◽

pp. 784-792 ◽

Cited By ~ 3

Author(s):

Nastaran Khodabakhshi ◽

Gholamreza Asadollahfardi ◽

Nima Heidarzadeh

Keyword(s):

Groundwater Quality ◽

Quality Index ◽

Major Ions ◽

Groundwater Vulnerability ◽

Vulnerability Index ◽

Aquifer Vulnerability ◽

Index Method ◽

Drastic Model ◽

Groundwater Quality Index ◽

The North

Pollution control and removal of pollutants from groundwater are a challenging and expensive task. The aims of this paper are to determine the aquifer vulnerability of Sefid-Dasht, in Chaharmahal and Bakhtiari province, Iran, using the DRASTIC model. In addition, the groundwater quality index (GQI) technique was applied to assess the groundwater quality and study the spatial variability of major ion concentrations using a geographic information system (GIS). The vulnerability index ranged from 65 to 132, classified into two classes: low and moderate vulnerability. In the southern part of the aquifer, the vulnerability was moderate. Furthermore, the results indicate that the magnitude of the GQI index varies from 92% to 95%. This means the water has a suitable quality. However, from the north to the south and southwest of the aquifer, the water quality has been deteriorating, and the highest concentration of major ions was found in the southwest of the Sefid-Dasht aquifer. A comparison of the vulnerability maps with the GQI index map indicated a poor relation between them. In the DRASTIC method, movement of groundwater is not considered and may be the reason for such inconsistency. However, the movement of groundwater can transport contaminants.

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