Comparative study of groundwater vulnerability to contamination assessment methods applied to the southern coastal sedimentary basin of Benin

Agossou, Amos; Yang, Jeong-Seok

doi:10.1016/j.ejrh.2021.100803

Cited by 17 publications

(5 citation statements)

References 28 publications

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“…The results of this research proved that entropy theory improved the modified GALDIT and increased the correlation between modified GALDIT and TDS from 0.537 to 0.739. The correlations from this study are ranged in the same order with results from Bordbar et al [18] and Agossou et al [30]. For preliminary verification, our study was compared to the results of a geophysical investigations conducted by Sognon et al [31] in the Continental Terminal aquifer near the southern side of Lake Nokoué, which is part of the study area.…”

Section: Discussionsupporting

confidence: 62%

“…Yu et al [24] also used entropy theory to modify the weights of DASTIC parameters based on the level of variance of parameters and the relative importance of each parameter. Agossou et al [30] determined the weights of DRASTIC parameters based on entropy theory. Taking steps from the previous research, this study modified the weight of GALDIT parameters based on the importance of each parameter and the levels of variance.…”

Section: Discussionmentioning

confidence: 99%

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GALDIT Modification for Seasonal Seawater Intrusion Mapping Using Multi Criteria Decision Making Methods

Yang

Jeong

Agossou

et al. 2022

Water

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Recently, coastal aquifers have been found to be increasingly exposed to seawater intrusion (SWI) due to climate change and anthropogenic activities. Various method exists for coastal aquifer vulnerability mapping and the one most commonly used is GALDIT because of its simplicity. The present study modified the original GALDIT ratings and weights using Shannon’s entropy theory to study the seasonal vulnerability of coastal aquifer in the coastal region of Benin, West Africa. Thus, the monthly GALDIT index for the study region was computed using 5 years of (2015–2019) average data of GALDIT dynamic input parameters. The original and modified GALDIT approaches were validated using total dissolved solid (TDS) concentration. Pearson’s correlation and Spearman coefficient correlations were calculated, and generally the modification of the GALDIT parameters’ relative weight using entropy has improved the method as this gave a better correlation with TDS concentration (0.739). From the calculated monthly GALDIT index, the most vulnerable period was identified using TOPSIS method. Based on TOPSIS results, the coastal aquifer of Benin is more vulnerable to seawater intrusion in February due to the decrease of groundwater level in that period and less vulnerable in July. The performed sensitivity analysis showed that height of groundwater level above the mean sea level, distance from shore, and thickness of the saturated aquifer have the most influence in vulnerability to SWI assessment in the study area.

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Section: Discussionsupporting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

GALDIT Modification for Seasonal Seawater Intrusion Mapping Using Multi Criteria Decision Making Methods

Yang

Jeong

Agossou

et al. 2022

Water

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“…Although aquifer vulnerability cannot be directly quanti ed, it serves as a valuable tool for preserving water quality, informing decisions regarding suitable areas for the establishment of potentially polluting activities and the installation of new water catchments relative to existing pollution sources (Hirata & Ferreira, 2001). The selection of a speci c method depends primarily on the type of aquifer and the availability of relevant data (Kazakis et al, 2015;Agossou & Yang, 2021). The most used are GOD (Foster et al, 1987), DRASTIC (Aller & Thornhill, 1987), AVI (Stempvoort et al, 1993), EPIK (Doer iger et al, 1997), and SINTACS (Civita & Rossanigo, 1994).…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis of the potential impact of contaminated areas on wells and aquifers in the Upper Tietê Basin, São Paulo, Brazil

de Camargo,

Moreira,

Leite

et al. 2024

Preprint

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Upper Tietê stands out as the basin with the highest concentration of contaminated areas in São Paulo, Brazil, thereby exerting a pronounced impact on the quality of groundwater and directly affecting the resident population. Recognizing the importance of developing indicators for effective aquifer management, this study proposed to identify and assess the degree of risk, vulnerability, and contamination of aquifers and wells in the Upper Tietê Basin. Were applied the Aquifer Vulnerability Index method to evaluate the aquifer vulnerability in the region; the delimitation of safety perimeters and identification of wells at risk; and the integrated risk index, unifying information on social and aquifer vulnerabilities, hazards and exposure. The results reveal that the aquifers have a high vulnerability, mainly due to the thickness of their unsaturated layer. Furthermore, there were 7,958 wells at risk around the basin (77.15%), and the most vulnerable municipalities are on the outskirts of the basin. This study provides important insights, mainly due to the holistic approach, serving as a basis for identifying the regions with the highest risks, which can be prevented and mitigated with appropriate actions.

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“…In fact, several research studies have applied various models which utilize Geographic Information Systems (GIS) as an indispensable tool. These models are based on the layering process of the various factors involved in groundwater's vulnerability to pollution, for instance DRASTIC (Aller and al., 1987;Bera and al., 2021;Agossou and Yang, 2021 ;Voutchkova and al., 2021), GOD (Foster, 1987 ;Boulabeiz and al., 2019;Taazzouzte and al., 2020), AVI (Van Stempvoort and al., 1993), EPIK (Doerfliger and Zwahlen, 1997;Nekkoub and al., 2020), SINTACS (Civita, 1994 ;Noori and al., 2019), PCA technique (Rahmani and al., 2019), FIS (Pathak and Bhandary., 2020) Fuzzy Clustering (Javadi and al., 2020). It is worth noting but the selection of the method depends on the purpose of the study and the availability of the data.…”

Section: Introductionmentioning

confidence: 99%

Mapping Intrinsic Vulnerability to Pollution Using the DRASTIC Method in the Temara Groundwater (Northwestern Morocco)

Taazzouzte

Ghafiri

Lemacha

et al. 2022

International Journal of Agricultural and Environmental Information Systems

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the DRASTIC method was chosen because it can be adapted to different environments and because it combines the seven criteria that directly influence groundwater: depth, recharge, geology, soil, slope, unsaturated zone and conductivity. Located in the North West of Morocco, the Temara aquifer is a very important water resource, but it is overexploited and deteriorated as never before. This issue is of concern to decision-makers in the field of water management. The objective of this work is to create a map of vulnerability to pollution by the Bay of Geographic Information Systems (GIS) and the DRASTIC model. Thus, the highest vulnerabilities are located around the drinking water treatment plant of Ain Atiq, at the mouth of the Bouregreg River and scattered in places throughout the study area. The results of the physico-chemical analysis showed compatibility with the results of the DRASTIC model.

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Comparative study of groundwater vulnerability to contamination assessment methods applied to the southern coastal sedimentary basin of Benin

Cited by 17 publications

References 28 publications

GALDIT Modification for Seasonal Seawater Intrusion Mapping Using Multi Criteria Decision Making Methods

GALDIT Modification for Seasonal Seawater Intrusion Mapping Using Multi Criteria Decision Making Methods

Spatial analysis of the potential impact of contaminated areas on wells and aquifers in the Upper Tietê Basin, São Paulo, Brazil

Mapping Intrinsic Vulnerability to Pollution Using the DRASTIC Method in the Temara Groundwater (Northwestern Morocco)

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