Protection of groundwater resources from multi-hazards: An integration of risk assessment and watershed management

The improving groundwater resource protection depends on aligning contamination risk mapping with aquifer protection measures. However, existing methods often fail to align with aquifer protection goals, hindering practical implementation. The study demonstrated integrating vulnerability assessment, hazard evaluation, and groundwater protection initiatives using an L-Matrix approach. Testing this model in a well-documented watershed with multiple hazards to illustrates its applicability, providing a reference for similar scenarios. The risk was assessed through evaluation of aquifer vulnerability, using the DRASTIC method, coupled with the evaluation of a hazard potential considering industrial, livestock/agriculture and urban infrastructure sources in separate. The L-Matrix diagrams consisted of cartesian representations of V versus H, ranging from 0 to 1, segmented into four quadrants bounded by the cut-off lines V = 0.5 and H = 0.5. The quadrants were then linked to aquifer protection measures, with site inspection (high V and H), groundwater monitoring (low V and high H), land use planning (high V and low H), and tolerable expansion of hazardous activities (low V and H). The Paraopeba River basin was used as test site. Mining areas are abundant in this basin and were allocated high values of H and low to high values of V , requesting implementation of groundwater monitoring and periodic inspection of mining sites, even more because groundwater contamination with iron could be clearly associated with the presence of mine-tailings. In the results, it was observed that the DRASTIC vulnerability map of the aquifers has a mean vulnerability around the central value (V = 0.48 ± 0.08). Regarding the distribution of hazards, the average rounds to the value for to (H industry = 0.41 ± 0.37, H agriculture = 0.33 ± 0.09 and H infrastructure = 0.27 ± 0.14). Thus, it is noted that for industrial activities, the risk of contamination could be moderate to high, while for agricultural and livestock activities, the risk lies between low and moderate contamination impact. • A novel L-matrix approach is fully tested. • The method links levels of groundwater contamination risk to guidelines of aquifer protection. • The method was tested in Paraopeba River basin exposing iron contamination in mining areas. • Inspecting mining sites and monitoring their surroundings was proposed as protection measure. • High resolution data would improve vulnerability assessments and contamination risk in the sequel.

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Publication Details

Journal
Groundwater for Sustainable Development
Published
2024-08-30
DOI
https://doi.org/10.1016/j.gsd.2024.101326
Citations
2
Primary Topic
Groundwater and Watershed Analysis
Type
article
Field-Weighted Citation Impact
0.41

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article

Protection of groundwater resources from multi-hazards: An integration of risk assessment and watershed management

Carlos Alberto Valera, Victor Hugo Sarrazin Lima, Fernando António Leal Pacheco, Adriana Monteiro da Costa et al.
2 citations
Groundwater for Sustainable Development
Groundwater and Watershed Analysis
0.41
article

Protection of groundwater resources from multi-hazards: An integration of risk assessment and watershed management

Carlos Alberto Valera, Victor Hugo Sarrazin Lima, Fernando António Leal Pacheco, Adriana Monteiro da Costa, Teresa Cristina Tarlé Pissarra, Marília Carvalho de Melo, Maytê Maria Abreu Pires de Melo Silva, Renato Farias do Valle, João Paulo Moura, Luís Filipe Sanches Fernandes
article en
2 citations

Abstract

The improving groundwater resource protection depends on aligning contamination risk mapping with aquifer protection measures. However, existing methods often fail to align with aquifer protection goals, hindering practical implementation. The study demonstrated integrating vulnerability assessment, hazard evaluation, and groundwater protection initiatives using an L-Matrix approach. Testing this model in a well-documented watershed with multiple hazards to illustrates its applicability, providing a reference for similar scenarios. The risk was assessed through evaluation of aquifer vulnerability, using the DRASTIC method, coupled with the evaluation of a hazard potential considering industrial, livestock/agriculture and urban infrastructure sources in separate. The L-Matrix diagrams consisted of cartesian representations of V versus H, ranging from 0 to 1, segmented into four quadrants bounded by the cut-off lines V = 0.5 and H = 0.5. The quadrants were then linked to aquifer protection measures, with site inspection (high V and H), groundwater monitoring (low V and high H), land use planning (high V and low H), and tolerable expansion of hazardous activities (low V and H). The Paraopeba River basin was used as test site. Mining areas are abundant in this basin and were allocated high values of H and low to high values of V , requesting implementation of groundwater monitoring and periodic inspection of mining sites, even more because groundwater contamination with iron could be clearly associated with the presence of mine-tailings. In the results, it was observed that the DRASTIC vulnerability map of the aquifers has a mean vulnerability around the central value (V = 0.48 ± 0.08). Regarding the distribution of hazards, the average rounds to the value for to (H industry = 0.41 ± 0.37, H agriculture = 0.33 ± 0.09 and H infrastructure = 0.27 ± 0.14). Thus, it is noted that for industrial activities, the risk of contamination could be moderate to high, while for agricultural and livestock activities, the risk lies between low and moderate contamination impact. • A novel L-matrix approach is fully tested. • The method links levels of groundwater contamination risk to guidelines of aquifer protection. • The method was tested in Paraopeba River basin exposing iron contamination in mining areas. • Inspecting mining sites and monitoring their surroundings was proposed as protection measure. • High resolution data would improve vulnerability assessments and contamination risk in the sequel.

Groundwater for Sustainable DevelopmentVol. 27
Universidade Federal de Minas Gerais (BR), University of Trás-os-Montes and Alto Douro (PT), Universidade do Estado de Minas Gerais (BR), Instituto Federal de Educação, Ciência e Tecnologia do Triângulo Mineiro (BR), Universidade de Uberaba (BR), Universidade Estadual Paulista (Unesp) (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 42%
Groundwater and Watershed Analysis
0.41
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