Adelaide Research and Scholarship : Schools and Disciplines : School of Civil, Environmental and Mining Engineering : Civil and Environmental Engineering Publications

Type:	Conference paper
Title:	Uncertainty in environmental decision-making: Issues, challenges and future directions
Author:	Maier, Holger R. Ascough, J. C.
Citation:	Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modelling and Software, Burlington, USA, July 2006 / Alexey Voinov, Anthony J. Jakeman and Andrea E. Rizzoli (eds.): [11] p.
Publisher:	International Environmental Modelling and Software Society
Issue Date:	2006
ISBN:	9781424308521
Conference Name:	Biennial Meeting of the International Environmental Modelling and Software Society (3rd : 2006 : Vermont, USA) iEMSs 2006 Summit on Environmental Modelling and Software
School/Discipline:	School of Civil and Environmental Engineering
Abstract:	Environmental decision-making is complicated by the complexity of natural systems and the often competing needs of multiple stakeholders. Modelling tools are often used to assist at various stages of the environmental decision-making process. If such models are to provide effective decision support, the uncertainties associated with all aspects of the decision-making process need to be taken into account explicitly. However, as models become more complex in order to better represent integrated environmental, social and economic systems, achieving this goal becomes more difficult. Some of the important issues that need to be addressed in relation to the incorporation of uncertainty in environmental decision-making processes include (i) the development of appropriate risk-based performance criteria that are understood and accepted by a range of disciplines, (ii) the development of methods for quantifying the uncertainty associated with human input, (iii) the development of approaches and strategies for increasing the computational efficiency of integrated models, optimization methods and methods for estimating risk-based performance measures, and (iv) the development of an integrated framework that enables all sources of uncertainty to be incorporated in the environmental decision-making process.
Keywords:	Environmental decision-making; Environmental models; Uncertainty
RMID:	0020063095
Description (link):	http://www.iemss.org/iemss2006/
Published version:	http://www.iemss.org/iemss2006/papers/w2/pp.pdf
Links to content (authorised users):	Check full text options
Appears in Collections:	Civil and Environmental Engineering Publications

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