Bribie Island groundwater resources : challenges in development of conceptual and numerical models


Autoria(s): Taulis, Mauricio; Cox, Malcolm; Todd, Andrew; Hawke, Amy; Raiber, Matthias; James, Allan
Data(s)

01/07/2012

Resumo

Groundwater is a major resource on Bribie Island and its sustainable management is essential to maintain the natural and modified eco-systems, as well as the human population and the integrity of the island as a sand mass. An effective numerical model is essential to enable predictions, and to test various water use and rainfall/climate scenarios. Such a numerical model must, however, be based on a representative conceptual hydrogeological model to allow incorporation of realistic controls and processes. Here we discuss the various hydrogeological models and parameters, and hydrological properties of the materials forming the island. We discuss the hydrological processes and how they can be incorporated into these models, in an integrated manner. Processes include recharge, discharge to wetlands and along the coastline, abstraction, evapotranspiration and potential seawater intrusion. The types and distributions of groundwater bores and monitoring are considered, as are scenarios for groundwater supply abstraction. Different types of numerical models and their applicability are also considered

Identificador

http://eprints.qut.edu.au/49023/

Publicador

The Proceedings of the Royal Society of Queensland

Relação

http://search.informit.com.au/documentSummary;dn=551152899051308;res=IELHSS

Taulis, Mauricio, Cox, Malcolm, Todd, Andrew, Hawke, Amy, Raiber, Matthias, & James, Allan (2012) Bribie Island groundwater resources : challenges in development of conceptual and numerical models. Proceedings of the Royal Society of Queensland, 117, pp. 101-117.

Direitos

Copyright 2004 Royal Society of Queensland

Copyright 2004 Royal Society of Queensland

Fonte

Division of Technology, Information and Learning Support; School of Earth, Environmental & Biological Sciences; Faculty of Science and Technology; High Performance Computing and Research Support; Institute for Sustainable Resources; Science & Engineering Faculty

Palavras-Chave #040000 EARTH SCIENCES #040301 Basin Analysis #050000 ENVIRONMENTAL SCIENCES #090702 Environmental Engineering Modelling
Tipo

Journal Article