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Groundwater vulnerability assessment has nowadays evolved into an essential tool towards proper groundwater protection and management, while the DRASTIC method is included among the most widely applied vulnerability assessment methods. However, the high uncertainty of the DRASTIC method mainly associated with the subjectivity in assigning parameters ratings and weights has driven many researchers to apply various methods for improving its efficiency. In this context, in the present study, different techniques were implemented with the aim of modifying the DRASTIC framework and thus enhancing its performance for groundwater vulnerability assessment in the Bouficha aquifer, Tunisia. In a first stage, the land use type (L) was incorporated as an additional parameter in the typical DRASTIC framework, thus taking into consideration the impact of anthropogenic activities on groundwater vulnerability. Subsequently, the rating and weighting systems of the developed DRASTIC-L framework were modified through the application of statistical methods (DRASTIC-L-SA) and genetic algorithms (GA) (DRASTIC-L-GA) in an attempt to investigate and compare both linear and nonlinear modifications. To evaluate the various vulnerability frameworks, correlation between vulnerability values and nitrate concentrations, expressed as Spearman's rank correlation coefficient (ρ) and Correlation Index (CI), was examined. The results revealed that the DRASTIC-L-GA framework developed by applying a fully GA-based optimization procedure provided the highest values in terms of the performance metrics used, making it the most suitable for the study area. In addition, the aquifer under study was found to be less vulnerable to pollution when employing the typical DRASTIC framework instead of the modified ones, leading to the conclusion that the former substantially underestimates pollution potential in the study area., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Seawater intrusion is responsible for the progressive deterioration of groundwater quality in numerous coastal aquifers worldwide. As a consequence, seawater intrusion may constitute a serious threat to local groundwater resources, as well as to the regional economy of coastal areas. To alleviate these negative effects, a number of well-designed protective measures could be implemented. The implementation of these measures is usually associated with significant benefits for the environment and the local economy. In this perspective, the present study investigates the particular case of constructing injection barriers for controlling seawater intrusion by developing a methodological framework that combines numerical modeling with spatial and cost-benefit analyses. To this task, we introduce a novel approach, which considers the socio-economic aspects of seawater intrusion in the modeling procedure, and at the same time focuses on the spatial and temporal relationships between water salinity and farmers' income. To test the proposed methodology two alternative artificial recharge scenarios - with different volumes of water used for injection - are assessed. According to the results of this analysis, both scenarios are likely to have a positive impact on groundwater quality, as well as, a net economic benefit to local society., (Copyright © 2017 Elsevier Ltd. All rights reserved.)