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

Taghavi, Nasrin; Niven, Robert K.; Paull, David; Kramer, Matthias

doi:10.1016/j.scitotenv.2022.153486

Cited by 61 publications

(15 citation statements)

References 120 publications

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“…This method considers five vulnerability classes: negligible (I V < 0.1), low (0.1 < I V < 0.3), medium (0.3 < I V < 0.5), high (0.5 < I V < 0.7), and extreme (0.7 < I V < 1). This method is primarily used in data-limited regions that require a succinct evaluation of the groundwater status [14,40].…”

Section: God Methodsmentioning

confidence: 99%

“…This software allows the generation of overlay operations and a spatial analysis index. Weighed parameter maps were added spatially following the specific criteria according to the evaluation method applied [14].…”

Section: Groundwater Pollution Risk and Vulnerability Assessmentmentioning

confidence: 99%

“…According to Ribeiro et al [13], vulnerability is a specific or intrinsic property of an aquifer system that depends on hydrogeological factors and the system susceptibility to anthropogenic factors. The most common methods to determine the aquifers vulnerability are based on the lithological information of the area, the land use, and the existence of pollution loading [14].…”

Section: Introductionmentioning

confidence: 99%

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Risk Assessment of Groundwater Contamination in the Gala, Tenguel, and Siete River Basins, Ponce Enriquez Mining Area—Ecuador

et al. 2022

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Groundwater is a strategic resource, which is experiencing a growing threat of contamination worldwide. This study aimed to assess the vulnerability of the groundwaters in the basins of the rivers Gala, Tenguel, and Siete in the Ponce Enriquez mining area, considering as a hypothesis that anthropogenic activities (mainly mining and agricultural) conducted in the area generate a high risk of contamination. Vulnerability to contamination was quantified using the DRASTIC and GOD methods. In addition, the risk of contamination (Rc) was calculated considering the vulnerability index (IV) and the danger index (IP). Geographic information system (GIS) environment was used for the spatial analysis and the generation of vulnerability maps. The DRASTIC method showed that the negligible-to-low vulnerability category was predominant (50.7% of the area), followed by moderate vulnerability (25.6%), and high-to-extreme vulnerability (23.7%). Regarding the GOD method, the low and medium vulnerability categories were predominant in 41.4% and 27.5% of the area, respectively. Both methods agree that the center area, where the mining activities are located, has a vulnerability ranging from negligible to moderate. The IP was low in the eastern zone (58.7 km2) and ranged from moderate (426.2 km2) to high in the central and western zones (371.1 km2), where mining activities predominate. The RC revealed that 20% of the study area corresponded to a high contamination index; from which, 87% comes from agricultural activities, 9% from mining activities, and 4% due to shrimp farms and urban areas. This is the first study that evaluates the vulnerability to the contamination of groundwater in a mining area of Ecuador. The results of this research can serve as a baseline for future research, since the methodology used provides information on the priority areas for the protection of aquifers, considering the current land use in the study area.

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Section: God Methodsmentioning

confidence: 99%

Section: Groundwater Pollution Risk and Vulnerability Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Risk Assessment of Groundwater Contamination in the Gala, Tenguel, and Siete River Basins, Ponce Enriquez Mining Area—Ecuador

et al. 2022

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“…The 20th century has seen a development of several groundwater quality assessment and vulnerability mapping methods, such as index-based methods [3], statistical approach [4], data driven models [5,6], and numerical models. There are several indexbased methods for groundwater intrinsic vulnerability to commination mapping: SINTACS (S: Water table depth; I: Effective infiltration; N: Unsaturated zone; T: Soil media; A: Aquifer media; C: Hydraulic conductivity; and S: Topographic slope), DRASTIC (D: Depth to groundwater; R: Recharge rate; A: Aquifer; S: Soil; T: Topography; I: Vadose zone's impact; and C: Aquifer's hydraulic conductivity), PI (Protective cover, Infiltration factor), SI (Susceptibility Index), GOD (Groundwater occurrence, Overall aquifer class, Depth table of the groundwater), EPIK (E: Epikarst; P: Protective Cover; I: Infiltration Conditions; and K the Degree of Karstic Network Development), AVI (Aquifer Vulnerability Index), and GALDIT.…”

Section: Introductionmentioning

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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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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“…The pollution of landfill leachate to surface water and ground water is mainly caused by the fermentation and erosion of rainwater. As one of the important sources of water supply, groundwater should be protected 1 . Among them, the pollution source caused by rapid urban development has become the main component of garbage leachate, including micro plastics, sludge and heavy metals, which have potential risks to the geological environment and groundwater [2][3][4] .…”

mentioning

confidence: 99%

Experiment on monitoring leakage of landfill leachate by parallel potentiometric monitoring method

Han

Wang

et al. 2022

Sci Rep

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The accumulation of municipal solid waste (MSW) in landfills often becomes a serious pollution source of geological environment and groundwater. The geological environment is the carrier of the landfill, and also the main pollution object of the landfill. The main pollution modes of the landfill site to the surrounding geological environment are purging, flushing, leachate, etc. If the leachate leakage cannot be found and repaired in time, it will cause serious harm to the geological environment and groundwater. The cost of geological environment and groundwater sampling through borehole surveys is high. Therefore, monitoring the seepage path and migration law of leachate is of great significance for determining the pollution range of the landfill site. In this study, by adjusting the grids of different sizes and changing the flow rate of leachate, the monitoring of fluid migration of different types of leachate was strengthened. The results show that the parallel potential monitoring method can quickly reflect the location and number of leachate points and the migration law of leachate. It provides effective reference data for landfill leachate monitoring.

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

Cited by 61 publications

References 120 publications

Risk Assessment of Groundwater Contamination in the Gala, Tenguel, and Siete River Basins, Ponce Enriquez Mining Area—Ecuador

Risk Assessment of Groundwater Contamination in the Gala, Tenguel, and Siete River Basins, Ponce Enriquez Mining Area—Ecuador

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

Experiment on monitoring leakage of landfill leachate by parallel potentiometric monitoring method

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