The University of Sheffield
AGU23_Abstract_Presentation.pdf (6.8 MB)

Seawater intrusion simulation using proper orthogonal decomposition method as a surrogate model. Presented at AGU Annual Meeting 2023 San Francisco, CA (11-15 December 2023)

Download (6.8 MB)
posted on 2024-03-05, 23:08 authored by Mohammadali GeranmehrMohammadali Geranmehr, Domenico BauDomenico Bau, Weijiang YuWeijiang Yu, Alex S. Mayer, Lauren Mancewicz

We address some of the challenges posed by seawater intrusion (SWI) in coastal aquifers and the use of 'variable-density' models to simulate groundwater flow and dissolved salt transport. These models, solving coupled partial differential equations, are computationally expensive, limiting their practicality for rapid and repetitive model runs needed in scenarios like risk analysis and groundwater management. The study proposes a surrogate model for SWI using the proper orthogonal decomposition (POD) method, a projection-based technique. The POD method, applied with a finite difference numerical method, reduces the computational burden by mapping the coefficient and right-hand side matrices onto a reduced space. This results in solving a smaller system of linear equations, significantly improving computational efficiency. The surrogate model is tested on the Santa Barbara aquifer, demonstrating notable speed improvements while maintaining acceptable accuracy levels in simulating SWI.


CBET-EPSRC Efficient Surrogate Modeling for Sustainable Management of Complex Seawater Intrusion-Impacted Aquifers

Directorate for Engineering

Find out more...



  • There is no personal data or any that requires ethical approval


  • The data complies with the institution and funders' policies on access and sharing

Sharing and access restrictions

  • The uploaded data can be shared openly

Data description

  • The file formats are open or commonly used

Methodology, headings and units

  • Headings and units are explained in the files

Usage metrics

    Department of Civil and Structural Engineering



    Ref. manager