The role of numerical modelling in understanding groundwater flow in Scottish alluvial aquifers

Author:

Mansour M. M.1,Hughes A. G.1,Robins N. S.2,Ball D.3,Okoronkwo C.4

Affiliation:

1. British Geological Survey, Kingsley Dunham Centre, Keyworth, Nottingham NG12 5GG, UK

2. British Geological Survey, Maclean Building, Crowmarsh Gifford, Wallingford, Oxon OX10 8BB, UK

3. Independent Consultant, Edinburgh, UK

4. Scottish Water, Heriot Watt Research Park, Riccarton – Avenue North, Edinburgh EH14 4AP, UK

Abstract

AbstractGroundwater in Scotland has been, until recently, an under-rated resource given the abundance of surface water resources. In the last decade, a number of new abstractions have been developed and existing ones enhanced. Implementing groundwater abstraction licensing through the Scottish Water Environment (Controlled Activities) Regulations (2005) has accelerated the need to understand such schemes. Simulating the groundwater systems, which are generally small in area, with an immature understanding and where subsurface data are often sparse, is a challenge. This challenge is amplified when groundwater abstraction is proposed from previously unexploited gravel valley deposits in close proximity to large rivers. Examples of recent work undertaken for Scottish Water illustrate the important role that groundwater models have in testing and refining conceptual understanding as well as convincing regulators of the suitability of the groundwater abstraction.

Publisher

Geological Society of London

Subject

Geology,Ocean Engineering,Water Science and Technology

Reference24 articles.

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3. Campbell S. D. Merritt J. (2009) (Munich, 9–12 June 2009), EUREGEO 2009: European Congress on Regional Geoscientific Cartography and Information Systems, 3D attributed geoscience models and related GIS datasets to assist urban regeneration and resolve environmental problems in and around the Glasgow conurbation, UK (Bayerisches Landesamt fur Umwelt), pp 41–46.

4. Groundwater challenges of the Water Framework Directive in Scotland (0–60 in 12 months)

5. Doherty J (2004) PEST: Model-independent Parameter Estimation User Manual (Watermark Numerical Computing, Australia).

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