Assessing perched aquifer vulnerability using modified DRASTIC: a case study of colliery waste in north-east England (UK)

Moustafa, Mohamed E.

doi:10.1007/s10040-019-01932-1

Cited by 14 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DRASTIC model is an empirical model that assesses the vulnerability of the groundwater system centered on in situ hydrogeological data [29]. It can be used in large areas due to its simple nature and low cost of application.…”

Section: Datasetmentioning

confidence: 99%

Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Shah

Yan

Ullah

et al. 2021

Water

View full text Add to dashboard Cite

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.

show abstract

Section: Datasetmentioning

confidence: 99%

Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Shah

Yan

Ullah

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…For large slopes, precipitation quickly carries pollutants away, in the form of surface runoffs; thus, pollutants are retained only for a short time. In this case, the amount of pollutants seeping into the groundwater is small, and groundwater vulnerability is relatively low [22]; otherwise, the groundwater vulnerability is relatively high. The slope characteristic of the study area ( Figure 2) was obtained from the 30-m-elevation digital elevation model (DEM), and the corresponding rating is shown in Table 1.…”

Section: The Drastic Methodsmentioning

confidence: 97%

“…The DRASTIC method is a parameter-weighted scoring method. The corresponding evaluation indexes are seven weighted hydrogeological parameters: 1) the depth to water table (D), 2) the net recharge (R), 3) the aquifer medium (A), 4) the soil medium (S), 5) the topography (T), 6) the vadose zone medium impact (I), and 7) the hydraulic conductivity (C) [11,13,22]. The vulnerability index of the groundwater environment in the DRASTIC approach is determined by the following equation:…”

Section: The Drastic Methodsmentioning

confidence: 99%

“…However, there are some disadvantages, such as the need to use empirical parameters, which introduce discrepancies between the evaluation results and actual data [21]. For some sites, the actual occurrence of groundwater pollution did not match the groundwater vulnerability estimated using the DRASTIC method, owing to the unreasonable recognition of pollution sources and water sources [22][23][24]. This suggests that better understanding of the assumptions made using DRASTIC method is important for efficient application.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of Agricultural Irrigation Activity on the Potential Risk of Groundwater Pollution: A Study with Drastic Method in a Semi-Arid Agricultural Region of China

Meng

Zhang²,

Liu³

et al. 2020

Sustainability

View full text Add to dashboard Cite

Agricultural irrigation strongly affects groundwater pollution in cultivated areas. Groundwater vulnerability was evaluated using the DRASTIC method by considering agricultural activities that affect water infiltration and pollutant transport to the groundwater. Three scenarios, using different water recharge sources and calculation methods, were considered for the Tongliao area of northern China. For Scenario 1, only precipitation contributed to the net recharge estimation and ~33.77% of the area was under high pollution risk. For Scenarios 2 and 3, both precipitation and irrigation return water were considered for net recharge estimations. The fractional areas of high pollution risk regions were 40.60% and 19.22% for Scenarios 2 and 3, respectively. The modified infiltration coefficients for this study area were used in Scenario 3, and the fractional area of the high-risk region was 21.38% lower than for Scenario 2. The use of empirical infiltration coefficients in Scenario 2 overestimated the water infiltration ability in the cultivated areas, which also overestimated the fractional area of high-risk regions in this study. Accurate assessment of the impact of agricultural activities on the groundwater pollution risk is essential for cultivated areas. Emphasis should be placed on the calculation method of proper parameters for DRASTIC model construction.

show abstract

“…Other models, such as DRASTIC (ALLER et al, 1987) and ALPRIFT (NADIRI et al, 2019), provide vulnerability analysis of groundwaters, including analysis of hydrogeological and hydrochemical parameters, and can be incorporated into a geographic information system (GIS), as shown in Moustafa (2019) and Barzegar et al (2019). The downside of these models is that they require extensive amounts of field data, making them costly for the evaluation of large geographic areas, especially given the lack of hydrogeological and geochemical databases.…”

Section: Introductionmentioning

confidence: 99%

Groundwater vulnerability to agrochemical contamination

Soares

Silva

Filho

et al. 2020

Rev. Bras. Ciênc. Ambient. (Online)

View full text Add to dashboard Cite

This research aimed at evaluating groundwater vulnerability to agrochemical contamination. To that end, we developed an index called Hydric Vulnerability and Agrochemical Contamination Index (HVACI), which integrates a geographic information system and fuzzy logic to measure catchment vulnerability to agrochemical contamination. Our case study investigates two sub-basins, the Baixo Jaguaribe and the Médio Jaguaribe, in the state of Ceará, Brazil. We built a logical relationship matrix involving economic and environmental information as a tool to enhance public managers' decision-making capabilities. Evaluation was based on four categories of vulnerability — high, medium-high, medium-low, and low —, and we found that the joint area of the Baixo Jaguaribe and Médio Jaguaribe sub-basins presented the following levels of risk contamination: 80.3% of the area had low vulnerability, 3.5% had medium-low vulnerability, 3.0% had medium-high vulnerability, and 13.2% had high vulnerability. Geographically, the municipalities with high vulnerability to contamination by pesticides were Aracati, Icapuí, Limoeiro do Norte, Tabuleiro do Norte, and Quixeré. Therefore, HVACI is an important tool for directing environmental management efforts toward areas identified as highly vulnerable to agrochemical contamination.

show abstract

Assessing perched aquifer vulnerability using modified DRASTIC: a case study of colliery waste in north-east England (UK)

Cited by 14 publications

References 44 publications

Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Classification of Aquifer Vulnerability by Using the DRASTIC Index and Geo-Electrical Techniques

Influence of Agricultural Irrigation Activity on the Potential Risk of Groundwater Pollution: A Study with Drastic Method in a Semi-Arid Agricultural Region of China

Groundwater vulnerability to agrochemical contamination

Contact Info

Product

Resources

About