Linkage Projects - Grant ID: LP0562650

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/LP0562650

Funding Status
Closed

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Funded Activity Summary

A Bayesian Hierarchical Approach for Simulating Multi-time Scale Hydrological Variability for Water Resource Planning. Assessments of future drought risks are dependent on simulations of hydrological inputs provided by stochastic models. The current models are limited to simulating variability at a single time scale using only local observed hydrological data. This data has only limited information on the long-term climate variability which is the cause of long-term severe droughts. The proposed research will develop a new Bayesian framework for simulating multi-time scale variability in hydrological data. This will enable the dynamic processes which simulate long-term variability to be identified using auxiliary information in an uncertainty framework. This will provide water resource planners with more accurate assessments of long-term drought risks.

Funded Activity Details

Start Date: 04-08-2006

End Date: 31-12-2013

Funding Scheme: Linkage Projects

Funding Amount: $87,844.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Civil Engineering | Hydrology Not Elsewhere Classified | Water And Sanitary Engineering

ANZSRC Socio-Economic Objective (SEO)

Climate variability | Land and water management |

Other Keywords

Civil Engineering | Climate variability | Hydrology Not Elsewhere Classified | Land and water management | Water And Sanitary Engineering

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