Hybrid Methodologies for Groundwater Vulnerability Assessment

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 3242

Special Issue Editors


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Guest Editor
Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy
Interests: water resources management and protection in the coastal plains, with a focus on water and nitrogen balance at basin scale and salinization processes; characterization and monitoring of dissolved contaminants in aquifers via different assessment methods; implementation of density-dependent groundwater flow models and reactive transport models
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E-Mail Website
Guest Editor
Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Campania University “Luigi Vanvitelli”, Caserta, Italy
Interests: hydrology; hydrogeology; groundwater flows; environmental science; water quality; geostatistical analysis; digital mapping; ecohydrology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Collegues,

The Sustainable Development Goals (SDGs) to be achieved by 2030, and in particular the sixth SDG, state the primary importance of protecting and restoring water-related ecosystems. Assessing the vulnerability of aquifers therefore becomes an essential preventive tool to achieve sustainable management of groundwater resources since population growth, along with the fast development in agricultural, commercial, industrial, and residential spheres of human life, has triggered the depletion and pollution of water resources, with clear detrimental effects at both regional and local scales. Vulnerability depends on the natural attenuation capacity offered by a set of physicochemical processes which are spatially dependent on morphological, hydrological, and geological characteristics of the site. Aquifer vulnerability can be estimated via different approaches which vary in terms of complexity, computational efforts, and data requirement, each of them with drawbacks and advantages: i) overlay/index methods, ii) process-based models, iii) statistical methods, and iv) hybrid methods. The latter integrate previously mentioned approaches using numerical strategies (e.g., machine learning) or different modeling approaches. This Special Issue calls for high-quality research papers on introducing new hibridizations strategies in the topics of groundwater vulnerability to agrochemicals leaching.

Dr. Micòl Mastrocicco
Dr. Gianluigi Busico
Guest Editors

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Keywords

  • groundwater vulnerability
  • agrochemicals leaching
  • surface–groundwater modelling
  • artificial intelligence
  • hybridization

Published Papers (2 papers)

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Research

21 pages, 3332 KiB  
Article
Groundwater and Human Health Risk Assessment in the Vicinity of a Municipal Waste Landfill in Tychy, Poland
by Dominika Dąbrowska and Andrzej J. Witkowski
Appl. Sci. 2022, 12(24), 12898; https://doi.org/10.3390/app122412898 - 15 Dec 2022
Cited by 7 | Viewed by 1223
Abstract
Groundwater quality and human health assessment in the vicinity of landfills can be performed with the use of numerous index methods. The aim of this paper is to present the results of the Environmental Risk Assessment (ERA) and Health Risk Assessment (HRA) in [...] Read more.
Groundwater quality and human health assessment in the vicinity of landfills can be performed with the use of numerous index methods. The aim of this paper is to present the results of the Environmental Risk Assessment (ERA) and Health Risk Assessment (HRA) in the vicinity of a municipal landfill complex for monitoring data from 1995, 2003, 2010, and 2021 and in the context of average statistical data about Poles. The calculations take into account an extended range of parameters, including sulphates, chlorides, and ammonium ions. The calculation results for the Horizontal ratio indicate that it should not be used for all parameters. This was mainly reflected in the low sulfate content of the water monitored by a piezometer directly below the old landfill. Other indicators, reaching as high as around 2000 (the Nemerow Pollution Index) or approx. 18,000 (the enrichment factor), confirm the negative impact of the landfill. The Hazard Index values reached almost 700, which would indicate a high risk to human health when consuming water with similar parameters. Overall, the results illustrate that using the selected indices to assess groundwater risk can be a valuable method for supporting long-term observations of groundwater quality, which can be used to make predictions using artificial intelligence methods. Full article
(This article belongs to the Special Issue Hybrid Methodologies for Groundwater Vulnerability Assessment)
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19 pages, 7004 KiB  
Article
Hybridization of DRASTIC Method to Assess Future GroundWater Vulnerability Scenarios: Case of the Tebessa-Morsott Alluvial Aquifer (Northeastern Algeria)
by Abdelmadjid Boufekane, Moufida Belloula, Gianluigi Busico, Tarek Drias, Azzeddine Reghais and Djamel Maizi
Appl. Sci. 2022, 12(18), 9205; https://doi.org/10.3390/app12189205 - 14 Sep 2022
Cited by 3 | Viewed by 1369
Abstract
In this study, a new approach integrating a groundwater vulnerability method and a numerical model for predicting groundwater resource sustainability under actual and future conditions of exploitation (2010–2030) is proposed in the semi-arid region of the Tebessa-Morsott alluvial aquifer (northeastern Algeria). The groundwater [...] Read more.
In this study, a new approach integrating a groundwater vulnerability method and a numerical model for predicting groundwater resource sustainability under actual and future conditions of exploitation (2010–2030) is proposed in the semi-arid region of the Tebessa-Morsott alluvial aquifer (northeastern Algeria). The groundwater vulnerability method-based DRASTIC model was used to evaluate and delineate the vulnerable areas using a GIS technique. The MODFLOW code, on the other hand, was used to calculate the dynamics of groundwater level under actual and future conditions of exploitation considering two scenarios. The results of the application of the DRASTIC method to the reference year conditions (year 2010) showed that the high and average vulnerability classes covered a wide zone of the study area, about 97%. These results were validated based on the nitrate concentration values (R2 = 0.955). However, the results for predicting future groundwater vulnerability showed that groundwater vulnerability variation over time (period 2010–2030) was closely related to groundwater depth variation caused by the pumping rate, since the decreases in the piezometric level produce a worsening of groundwater vulnerability. To achieve better groundwater management, an experimental site for artificial recharge supplemented by hydro-chemical monitoring of the groundwater could be an effective remediation strategy. Full article
(This article belongs to the Special Issue Hybrid Methodologies for Groundwater Vulnerability Assessment)
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