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A data completion method for identifying pollution intrusion in aquifers.

Lamia Guellouz1, Faten Khayat2

  • 1LMHE-ENIT-Université Tunis El Manar, BP 37, 1002, Tunis Le Belvédère, Tunisia. lamia.guellouz@enit.utm.tn.

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|September 28, 2022
PubMed
Summary

This study presents a data completion method to map polluted water intrusion in aquifers, even with missing boundary data. The approach successfully identifies contaminant flow and concentration across the entire domain.

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Area of Science:

  • Hydrogeology
  • Environmental Engineering
  • Computational Fluid Dynamics

Background:

  • Aquifer contamination poses risks to water resources.
  • Accurate monitoring of water flow and solute transport is crucial for environmental management.
  • Identifying the extent of polluted water intrusion is a key challenge in groundwater management.

Purpose of the Study:

  • To develop and validate a data completion method for identifying polluted water intrusion in aquifers.
  • To address challenges posed by missing boundary data in hydrogeological modeling.
  • To determine groundwater flow, water head, and pollutant concentrations within an aquifer domain.

Main Methods:

  • A data completion method is employed, integrating water flow and solute transport modeling.
  • The method utilizes over-specified data on known boundaries to compensate for missing information.
  • The approach is applied to aquifer configurations, including those with pumping wells.

Main Results:

  • The developed method successfully identifies the extent of polluted water intrusion from the downstream boundary.
  • Accurate determination of flows, water heads, and pollutant concentrations throughout the aquifer domain was achieved.
  • Satisfactory results were obtained across various aquifer configurations, demonstrating model effectiveness.

Conclusions:

  • The data completion method is effective in detecting and mapping polluted water intrusion in aquifers.
  • The model's ability to handle incomplete boundary data makes it suitable for real-world applications.
  • This approach provides a valuable tool for groundwater contamination assessment and management.