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Information - GM15 Reduced-complexity, physically-based geomorphological modelling for catchment and river management
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Event Information |
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Sustainable water resource management requires integrated assessment of physical, biological and hydraulic functions of rivers and their catchments, but this philosophy demands that land, water and environmental managers have access to appropriate modelling tools to guide strategy and decision making. However, the time and space scales for such management (century timescales, involving climate change scenarios; and catchment spatial scales) are intermediate to the scales of process understanding and modelling typical of much recent research in earth surface systems. For example, the conceptual framework underpinning knowledge of hydraulics and sediment transport has relied on flume studies and computational fluid dynamics, while an understanding of the larger scale, longer term impacts of climate and land-use change on channel dynamics traditionally derives from the sedimentary record. The dynamics of the meso-scale (101-103 km and 101-103 years), which characterize the evolution of river and catchment systems over relevant planning horizons, lie between these two approaches, and require process models which can accommodate changing boundary conditions.
Modelling this intermediate scale requires solutions embedded in physical theory, but simplified to appropriate levels of complexity in order reduce computational and parametric overheads and thus allow for time-efficient simulation and uncertainty analysis. Recent advances in this field have sought to achieve these ends through the development of novel spatial and cellular algorithms, efficient discretization methods, and increasing reliance on high quality topographic data streams. Specific examples include the raster storage-cell models for floodplain inundation, cellular automaton models of channel dynamics and landscape evolution, and topographic-based hillslope hydrological models.
The aim of this session is to provide a forum to demonstrate and discuss emergent computational methods focusing on river and catchment processes, targeted at space and time scales relevant to environmental management. We particularly encourage contributions that outline new theoretical developments, approaches to model parameterization, data integration, uncertainty analysis and results from particular management case studies.
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Preliminary List of Solicited Speakers |
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Back to Session Programme
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