Tools in Fluvial Geomorphology 2016
DOI: 10.1002/9781118648551.ch8
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Modelling catchment processes

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Cited by 3 publications
(7 citation statements)
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“…Ecological modelling was developed somewhat separately from hydrological, hydraulic and geomorphological modelling, but the need remains to provide comprehensive models embracing all aspects of the hydrosystem. Considerable recent progress, aided by developments in topographic specification, including that by GIS, has enabled refinement of three types of catchment-scale model, namely: integrated component process models, watershed analysis and conceptual models (see Downs and Priestnall, 2003). Considerable recent progress, aided by developments in topographic specification, including that by GIS, has enabled refinement of three types of catchment-scale model, namely: integrated component process models, watershed analysis and conceptual models (see Downs and Priestnall, 2003).…”
Section: Multiplementioning
confidence: 99%
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“…Ecological modelling was developed somewhat separately from hydrological, hydraulic and geomorphological modelling, but the need remains to provide comprehensive models embracing all aspects of the hydrosystem. Considerable recent progress, aided by developments in topographic specification, including that by GIS, has enabled refinement of three types of catchment-scale model, namely: integrated component process models, watershed analysis and conceptual models (see Downs and Priestnall, 2003). Considerable recent progress, aided by developments in topographic specification, including that by GIS, has enabled refinement of three types of catchment-scale model, namely: integrated component process models, watershed analysis and conceptual models (see Downs and Priestnall, 2003).…”
Section: Multiplementioning
confidence: 99%
“…http://www.science.calwater.ca.gov/vision.shtml (last accessed 19 October 2003)). Also, as indicated in Chapter 6, technological advances in developing spatial databases using remote sensing data and Geographical Information Systems have provided consistent, detailed data over large spatial extents to permit integrated, basin-wide research studies to be practicable for the first time, leading for instance, to the prospect of catchment-scale models of sediment transport behaviour (review in Downs and Priestnall, 2003). Continuing challenges relate to downscaling GCMs to provide reliable local hydrological information (Schulze, 1997;Wilby and Wigley, 1997), while further issues arise because river flows are a second-order environmental change following from predicted changes in precipitation, temperature and vegetation growth (Arnell, 1996;Arnell and Reybard, 1996).…”
Section: New Revised Revised New Scientific Perception Of Approaches mentioning
confidence: 99%
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“…Achieving such process understanding often requires spatial data related to the relational and extrinsic composition of the catchment (Table 13.2): this includes the elements and spatial arrangement of terrain and elevation features, channel network and subcatchment topographical units within the entire catchment, as affected by differences in soils, bedrock and alluvial sediments, vegetation and land use. In this regard, the advent of 1 m resolution commercial satellite data from the IKONOS satellite, 2-4 m resolution airborne data using CASI (Compact Airborne Spectrographic Imager), 5 m resolution using interferometric SAR (Synthetic Aperature Radar) and decimetre elevation data precision using airborne LiDAR (Light Detection And Ranging) is likely to promote a signifi cant evolution in DEM-based process models in the next decade (issues in Downs and Priestnall, 2003). Firstly, it is increasingly likely that some spatially comprehensive data will already exist for a catchment where river restoration is being contemplated, that it will be easily available via the internet and (critically) that the data will be formatted to allow easy transfer and viewing using proprietary GIS software such as ArcGIS 'shape' fi le types.…”
Section: Digital Elevation Models and Remote Sensingmentioning
confidence: 99%