The use of 3D geological models in the development of the conceptual groundwater model

Royse, Katherine R.; Kessler, Holger; Robins, Nicholas S.; Hughes, Andrew G.; Mathers, Stephen J.. 2010 The use of 3D geological models in the development of the conceptual groundwater model. Zeitschrift der Deutschen Gesellschaft für Geowissenschaften, 161 (2). 237-249.

Before downloading, please read NORA policies.
Text (Abstract only)

Download (44kB) | Preview


The conceptual groundwater model is heavily dependent on the geological framework which is used to defi ne the aquifer being studied. In the past, two-dimensional datasets such as geological maps and cross-sections were used in coordination with site-specifi c point data to build a conceptual understanding at the site or catchment scale. This is then simplified and it is this simplifi ed version which is used to build the framework for the numerical groundwater fl ow model. Due to the way the geological framework model and the conceptual groundwater model were generated they could not be viewed together; this inevitably led to a signifi cant loss of information and understanding. With the current rapid developments in 3D modelling software and the increasing availability of digital geological data it is now possible to produce detailed 3D geological models of complex aquifer sequences. In this paper we will use two case studies (Chalk aquifer of the London Basin and the Jurassic limestone aquifer of the Cotswolds) to demonstrate that by developing a detailed 3D geological model signifi cant benefi ts are gained in the understanding and development of the conceptual groundwater model.

Item Type: Publication - Article
Digital Object Identifier (DOI):
Programmes: BGS Programmes 2010 > Information and Knowledge Exchange (Information Products)
Additional Keywords: GroundwaterBGS, Groundwater, Groundwater modelling
NORA Subject Terms: Earth Sciences
Data and Information
Date made live: 12 Jul 2010 13:46 +0 (UTC)

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...