Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment

Boughriba, Mimoun; Barkaoui, Alae-Eddine; Zarhloule, Yassine; Lahmer, Zakariae; Houadi, Boubker El; Verdoya, Massimo

doi:10.1007/s12517-009-0072-y

Cited by 42 publications

(26 citation statements)

References 4 publications

(6 reference statements)

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“…Bedrock geological map, soil map, geological information, wells' information, and topographical data were collected in an extensive GIS database based on the conventional principles of DRASTIC indices assessment Denny, et al [6]. Boughriba, et al [7] used DRASTIC Model in GIS software environment for assessment of the groundwater vulnerability in Anged Aquifer in Morocco.…”

Section: Background Of Studymentioning

confidence: 99%

“…Then they integrated the map with land use map to obtain map the potential risk of contamination. They stated that the new prepared map includes three different categories, medium, high, and very high Boughriba, et al [7]. Babiker, et al [1] applied DRASTIC Model in GIS environment to determine susceptible points to pollution from human activities in Kakamigahara Aquifer in Japan.…”

Section: Background Of Studymentioning

confidence: 99%

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Untitled

2017

Review of Environment and Earth Sciences

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Article HistoryVulnerability of the water resources is a continuation of such trends. The first step in management of the groundwater resources is a determination of the vulnerable areas. The objective of this research was determining the vulnerability assessment of the central plain of Gilan using DRASTIC model. Principles of the model are based on overlaying of seven thematic maps of depth to water table, net recharges, aquifer media, soil media, topography, vados zone and hydraulic conductivity by considering appropriate weights and rates. The database was constructed by introducing the mentioned maps. Index of DRASTIC model for aquifer vulnerability of the central plain Gilan was ranged in 82-182. In this plain, there was not very much and very low vulnerability classes. The final map of DRASTIC model showed that %¬48.64 of the area has high vulnerability and %¬50.55 has medium vulnerability and only a small area of plain (%0.81) has low vulnerability. The statistical summary of the DRASTIC model elements shows that the element of depth to groundwater table has the greatest impact on DRASTIC model. Also based on the map remove and single element sensitivity, depth to groundwater table is identified as the effective element in the central plain of Gilan. The results of the correlation between the elements of DRASTIC model and nitrate concentrations showed that there is the highest correlation between nitrate and depth to groundwater table. The average concentration of nitrates is 8.92 mg/lit in the wells studied at the Central Plains Gilan. In all wells studied, nitrate concentration was lower than the recommended level by US Environmental Protection Agency (45 mg/lit). Contribution/Originality:This study is one of very few studies which have investigated via DRASTIC index for sensitivity analysis of effective parameters which was validated by using of two methods for the map remove and single element in amount of nitrate pollution.

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Section: Background Of Studymentioning

confidence: 99%

Section: Background Of Studymentioning

confidence: 99%

Untitled

2017

Review of Environment and Earth Sciences

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“…Although areas with a low DRASTIC index are less susceptible to pollution compared to areas with a high DRASTIC index, it does not mean that these areas are completely free from groundwater contamination. The DRASTIC model is based on four assumptions: (a) the contaminant is introduced at the ground surface; (b) the contaminant enters the groundwater by precipitation; (c) the contaminant has mobility; and (d) the area should be 400 m 2 or larger [15].…”

Section: Vulnerability Assessmentmentioning

confidence: 99%

“…Therefore, land use is an additional parameter that can be integrated into the DRASTIC method to evaluate the potential risk in different areas [13,15].…”

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confidence: 99%

Spatial Assessment of Groundwater Quality Monitoring Wells Using Indicator Kriging and Risk Mapping, Amol-Babol Plain, Iran

Narany

Ramli

Aris

et al. 2013

Water

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Abstract:The main aim of monitoring wells is to assess the conditions of groundwater quality in the aquifer system. An inappropriate distribution of sampling wells could produce insufficient or redundant data concerning groundwater quality. An optimal selection of representative monitoring well locations can be obtained by considering the natural and anthropogenic potential of pollution sources; the hydrogeological setting; and assessment of any existing data regarding monitoring networks. The main objective of this paper was to develop a new approach to identifying areas with a high risk of nitrate pollution for the Amol-Babol Plain, Iran. The indicator kriging method was applied to identify regions with a high probability of nitrate contamination using data obtained from 147 monitoring wells. The US-EPA DRASTIC method was then used in a GIS environment to assess groundwater vulnerability to nitrate contamination, and combined with data concerning the distribution of sources to produce a risk map. In the study area, around 3% of the total area has a strong probability of exceeding the nitrate threshold and a high-moderate risk of pollution, but is not covered adequately by sampling wells. However, the number of monitoring wells could be reduced in most parts of the study area to minimize redundant data and the cost of monitoring.

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“…The Maghnia plain is the eastward extension of the Angad plain in Morocco, with the study area above the transboundary aquifer of the Angad plain [1].…”

Section: Introductionmentioning

confidence: 99%

Combining Resistivity and Aeromagnetic Geophysical Surveys for Groundwater Exploration in the Maghnia Plain of Algeria

Boubaya

2017

Journal of Geological Research

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The Maghnia plain in western Algeria is filled by Plio-Quaternary and Miocene sediments that rest unconformably on a basement of Jurassic rocks. Electrical sounding (VES), magnetic data, well information, and hydrogeological data have been used to explore for groundwater potential in the Maghnia plain. The interpretation of Schlumberger sounding data was first calibrated with the lithology of available nearby wells. Four geoelectrical layers were identified within the study area. They are a thin near surface topsoil layer with variable resistivities, a moderate resistive aquifer (15-30 ohm-m), a resistive aquifer (40-70 ohm-m), and a conductive clay layer (1-10 ohm-m). Near Sidi Mbarek, the geoelectric section is reduced to three layers: a topsoil layer, a conductive layer corresponding to the Miocene marls, and a deep resistive layer that correlates with the Oxfordian sandstones. The interpretation of VES data and the enhancement techniques of magnetic data enabled the identification of a number of unmapped faults that occur near recharge zones close to adjacent mountains. This study enabled us to study the extension of the known Plio-Quaternary aquifer of the Maghnia plain and to explore the possible existence of a second deep groundwater aquifer in Oxfordian sandstones.

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Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment

Cited by 42 publications

References 4 publications

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Untitled

Spatial Assessment of Groundwater Quality Monitoring Wells Using Indicator Kriging and Risk Mapping, Amol-Babol Plain, Iran

Combining Resistivity and Aeromagnetic Geophysical Surveys for Groundwater Exploration in the Maghnia Plain of Algeria

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