GeoAnalytics and modelling

Schematic diagram outlining the  role and use of environmental modelling in the Thames Basin

The GeoAnalytics and modelling directorate (GAM) applies multidisciplinary knowledge to explain, explore and predict the Earth's response to natural and human induced environmental change.

The GAM undertakes research into a variety of areas:

  • the parameterisation of 3D geological models
  • the development of numerical process modelling techniques including groundwater, debris flow, multiphase flow and coupled process modelling
  • uncertainty analysis
  • geostatistics and model and data integration, where we apply integrated models to the analysis of a range of environmental problems

Our research

3D visualisation using Geovisonary 3D visualisation systems

Developing tools and techniques for virtual field reconnaissance and visualisation of geoscientific data.

Soils report Applied and medical geochemistry

G-BASE; international geochemistry; abandoned mines; contaminated land.

Realization of a random model which emulates the spatial variation of soil Environmental statistics

Spatial prediction of environmental variables; spatial sampling; measuring the uncertainty in geological models; new random model for geological variables.

ThamesFuture Thames: battlegrounds of environmental change

Interdisciplinary and collaborative geoscience research to understand and mitigate the effects of environmental change in the Thames Basin.

GeoProperties products development GeoProperties product development

This team develops new data products detailing the physical and chemical characteristics of the ground beneath our feet.

Change Hazard and resilience modelling

The hazard and resilience modelling team aims to develop new and innovative data products that deliver geoscientific information to a range of users in an accessible form.

conceptual model Integrated modelling and model uncertainty

Solving complex environmental problems through linking components; propagation of uncertainty through the model chain.

Modelling systems Modelling systems

The modelling systems team develops cutting edge geological modelling systems in support of BGS science and information services.

A parameterised geological 3D models showing the frequency of occurrence of glacial clay in the city of Glasgow Parameterisation and statistics

Understanding subsurface heterogeneity; statistical analysis of physical properties; parameterisation of 3D geological models.

Section through aeolian dune sandstone in the Penrith Sandstone (Permian), Eden Valley gorge, Cumbria Permo-Triassic reservoirs and storage (PTReS)

Multidisciplinary research and modelling of strategically valuable rock formations for secure and sustainable energy and water resources.

Process Modelling Process modelling

CLiDE environmental modelling platform; groundwater modelling; Lattice-Boltzmann simulations; groundwater flood simulation; modelling slope stability; software and tools.

Systems geology Systems geology

Systems geology views geology as a set of interacting objects and processes that function as a whole. It aims to harmonise many aspects of geological information with the e-scientists' vision of a comprehensive global knowledge system...

Software and tools

AquiMod AquiMod

A lumped modular conceptual groundwater model for simulating groundwater level time-series at observation boreholes.

BGS Groundhog Desktop BGS Groundhog Desktop

A graphical software tool for the display of geological and geospatial information such as interpreted (correlated) geological cross sections, maps and boreholes.

GIS Groundwater GISGroundwater

An add-in to ArcGIS that models the depth to groundwater beneath the land surface. In aquifers (permeable water bearing rocks) that are open to the atmosphere (called unconfined aquifers) it calculates...


GIS Groundwater Impact Award

The GeoAnalytics and modelling directorate won Team of the Year at the PraxisUnico Impact Awards 2017! This award is aimed at recognising knowledge exchange and commercialisation professionals and was given as a result of the directorate's consistent excellence in adding value to the vast datasets held by the BGS.


Contact Katherine Royse for more information.