IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v513y2026ics0304380025004429.html

From local to regional: Enhancing groundwater management with simulation models like MODFLOW and geospatial technologies

Author

Listed:
  • Shah, Rameez A
  • Shafi, Aurooj
  • Andrabi, SMA
  • Shah, Shaziya M
  • Hassan, Shahnawaz
  • Zargar, Aufaq Ahmad

Abstract

With increasing dependence on groundwater due to deteriorating surface water quality, effective groundwater management has become critically important. This paper provides a comprehensive review of advancements in groundwater modeling with a primary focus on MODFLOW and its derivatives. MODFLOW, developed by the U.S. Geological Survey, has evolved into a modular and versatile modeling framework. Advanced versions such as MODFLOW-NWT, MODFLOW-USG, and MODFLOW-LGR have extended the model’s ability to simulate complex hydrogeological conditions, including unconfined aquifers, irregular boundaries, and refined local grids. The integration of MODFLOW with graphical user interfaces like Visual MODFLOW and Groundwater Modelling System (GMS), and the introduction of MODFLOW 6, have improved model usability and simulation capabilities. Furthermore, the coupling of MODFLOW with other simulation tools like SEAWAT, HYDRUS, FEFLOW, and MIKE SHE supports multi-process modeling involving groundwater flow, solute transport, and surface water interactions. This paper also explores the integration of remote sensing and GIS technologies, which enhance spatial data resolution and compensate for data limitations, particularly in data-scarce regions such as the Himalayan basin. Case studies demonstrate how these integrated modeling tools are applied in groundwater flow analysis, recharge estimation, contaminant transport, and climate impact assessments. These applications highlight the growing role of MODFLOW-based tools in supporting sustainable water resource management. The review underscores the need for ongoing innovation in groundwater modeling, particularly through the integration of emerging technologies such as artificial intelligence, cloud-based platforms, and the Internet of Things (IoT). These tools offer promising avenues for enhancing predictive accuracy and supporting more informed, real-time decision-making. Ultimately, this paper aims to assist researchers, planners, and policymakers in advancing integrated and sustainable groundwater management strategies.

Suggested Citation

  • Shah, Rameez A & Shafi, Aurooj & Andrabi, SMA & Shah, Shaziya M & Hassan, Shahnawaz & Zargar, Aufaq Ahmad, 2026. "From local to regional: Enhancing groundwater management with simulation models like MODFLOW and geospatial technologies," Ecological Modelling, Elsevier, vol. 513(C).
  • Handle: RePEc:eee:ecomod:v:513:y:2026:i:c:s0304380025004429
    DOI: 10.1016/j.ecolmodel.2025.111456
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380025004429
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2025.111456?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:513:y:2026:i:c:s0304380025004429. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.