Skip to main content
Log in

Enhanced Methods for Evaluating Aquifer Susceptibility: Incorporating Static and Dynamic Vulnerability Assessments

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

This study transforms the concept of the intrinsic vulnerability of aquifers to pollution by integrating static and dynamic elements into the assessment approach. Our innovative methodology simplifies hydrogeological parameters, facilitating the assessment of groundwater aquifer vulnerability while enabling in-depth analysis of future scenarios, including t the impact of human activities and climate change on the hydrological cycle. The results of our analysis reveal that the dynamic vulnerability method GCITF (Groundwater confinement type, Hydraulic Conductivity, Vadose Zone Impact, Topography, and dynamic Factor) and the conventional DRASTIC method generated 12.15% and 9.30% for the high vulnerability zone, respectively. In comparison, the SINTACS method estimated a low percentage of 0.28%. Overlaying the vulnerability maps revealed agreement between the GCITF, DRASTIC, and SINTACS methods in the high-vulnerability zones. In particular, the GCITF method showed a more significant extension in the northeastern part of the study area characterized by an annual extracted volume exceeding 40 Mm3/km2, underlining the importance of considering these sub-factors in dynamic vulnerability assessments. Bivariate statistical analysis, in particular Pearson correlation, revealed a moderate and statistically significant positive association between dynamic vulnerability on the one hand and DRASTIC and SINTACS methods on the other. These results underline the importance of integrating dynamic sub-factors for a more accurate and comprehensive vulnerability assessment, reflecting the complexity of hydrological and anthropogenic interactions influencing aquifer vulnerability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Data Availability

All data generated or analyzed during this study are included in this published article.

References

Download references

Acknowledgements

We would like to thank the Hydraulic Basin Agency of Moulouya (AHBM) and the Regional Agricultural Development Office of Moulouya (ORMVAM) for providing data for this study. We also thank the reviewers for their efforts to improve the article’s readability.

Author information

Authors and Affiliations

Authors

Contributions

Ourarhi Sofia: conceptualization, methodology, analysis and data processing, software, validation, writing, and preparation of the original paper.

Barkaoui Alae-eddine: contributed to methodology, validation, formal analysis, revision of the original paper, and supervision.

Zarhloule yassine: conceptualization, revision, correction, and supervision.

All authors critically reviewed and approved the final manuscript.

Corresponding author

Correspondence to Sofia Ourarhi.

Ethics declarations

Ethical Approval

The authors declare that this article has not been published before and that no plagiarism has occurred.

Consent to Participate

The authors agree to be responsible for their participation in the research.

Consent to Publish

The authors approve the publication of this article.

Conflict of Interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ourarhi, S., Barkaoui, AE. & Zarhloule, Y. Enhanced Methods for Evaluating Aquifer Susceptibility: Incorporating Static and Dynamic Vulnerability Assessments. Water Resour Manage 38, 2791–2810 (2024). https://doi.org/10.1007/s11269-024-03792-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-024-03792-1

Keywords

Navigation