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    WSP wins Environment Agency groundwater framework: modelling shifts for UK project teams

    July 24, 2026|

    Reviewed by Tom Sullivan

    WSP wins Environment Agency groundwater framework: modelling shifts for UK project teams

    First reported on New Civil Engineer

    30 Second Briefing

    WSP has been appointed to all three lots of the Environment Agency’s National Groundwater Modelling Framework, covering strategic modelling, regional and catchment-scale studies, and site-specific assessments. The framework will support regulation of abstraction, flood risk and drought management by standardising numerical groundwater models used to assess aquifer behaviour, contaminant migration and interactions with rivers and infrastructure. Consultants working on EA-regulated projects should expect closer alignment to EA-approved modelling tools, datasets and calibration approaches over the framework term.

    Technical Brief

    • Consultants outside the framework will need to evidence equivalence of mesh design, stress-period discretisation and convergence criteria.

    Our Take

    WSP’s win on the Environment Agency’s National Groundwater Modelling Framework comes alongside recent UK public-sector frameworks with Transport for London and Westminster City Council, signalling that WSP is consolidating a strong position in long-duration infrastructure and environmental advisory roles across the United Kingdom.

    In our database of 25 Environmental stories, few combine ‘Projects’, ‘Standard/Guideline’ and ‘Sustainability’ tags together, so this framework is likely to be influential in shaping how groundwater modelling standards feed directly into practical project delivery and regulatory decision-making in the UK.

    WSP’s parallel push into responsible mining work in West Africa and potash shaft design in Brazil suggests that techniques and tools from the UK groundwater modelling framework could later be leveraged for mine dewatering, hydrogeological risk and long-term water stewardship on international resource projects.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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