Stuart W. D. Grieve
University of Edinburgh
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Featured researches published by Stuart W. D. Grieve.
Journal of Geophysical Research | 2016
Fiona J. Clubb; Simon M. Mudd; Mikaël Attal; David T. Milodowski; Stuart W. D. Grieve
Drainage density is a fundamental landscape metric describing the extent of the fluvial network. We compare the relationship between drainage density (Dd) and erosion rate (E) using the Channel-Hillslope Integrated Landscape Development (CHILD) numerical model. We find that varying the channel slope exponent (n) in detachment-limited fluvial incision models controls the relationship between Dd and E, with n > 1 resulting in increasing Dd with E if all other parameters are held constant. This result is consistent when modeling both linear and non-linear hillslope sediment flux. We also test the relationship between Dd and E in five soil-mantled landscapes throughout the USA: Feather River, CA; San Gabriel Mountains, CA; Boulder Creek, CO; Guadalupe Mountains, NM; and Bitterroot National Forest, ID. For two of these field sites we compare Dd to cosmogenic radionuclide (CRN)-derived erosion rates, and for each site we use mean hilltop curvature as a proxy for erosion rate where CRN-derived erosion rates are not available. We find that there is a significant positive relationship between Dd, E, and hilltop curvature across every site, with the exception of the San Gabriel Mountains, CA. This relationship is consistent with an n exponent greater than 1, suggesting that at higher erosion rates, the transition between advective and diffusive processes occurs at smaller contributing areas in soil-mantled landscapes.
Scientific Reports | 2016
Robert N. Parker; Tristram Hales; Simon M. Mudd; Stuart W. D. Grieve; José Antonio Constantine
Shallow landslides, triggered by extreme rainfall, are a significant hazard in mountainous landscapes. The hazard posed by shallow landslides depends on the availability and strength of colluvial material in landslide source areas and the frequency and intensity of extreme rainfall events. Here we investigate how the time taken to accumulate colluvium affects landslide triggering rate in the Southern Appalachian Mountains, USA and how this may affect future landslide hazards. We calculated the failure potential of 283 hollows by comparing colluvium depths to the minimum (critical) soil depth required for landslide initiation in each hollow. Our data show that most hollow soil depths are close to their critical depth, with 62% of hollows having soils that are too thin to fail. Our results, supported by numerical modeling, reveal that landslide frequency in many humid landscapes may be insensitive to projected changes in the frequency of intense rainfall events.
Journal of Geophysical Research | 2014
Simon M. Mudd; Mikaël Attal; David T. Milodowski; Stuart W. D. Grieve; Declan A. Valters
Earth Surface Processes and Landforms | 2016
Stuart W. D. Grieve; Simon M. Mudd; Martin D. Hurst
Earth Surface Dynamics Discussions | 2016
Stuart W. D. Grieve; Simon M. Mudd; Martin D. Hurst; David T. Milodowski
Earth Surface Dynamics Discussions | 2016
Simon M. Mudd; Marie-Alice Harel; Martin D. Hurst; Stuart W. D. Grieve; Shasta M. Marrero
Earth Surface Dynamics Discussions | 2016
Stuart W. D. Grieve; Simon M. Mudd; David T. Milodowski; Fiona J. Clubb; David Jon Furbish
Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM - http://www.ncalm.org). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1043051. | 2016
Martin D. Hurst; Simon M. Mudd; Stuart W. D. Grieve; David T. Milodowski
Journal of Geophysical Research | 2016
Fiona J. Clubb; Simon M. Mudd; Mikaël Attal; David T. Milodowski; Stuart W. D. Grieve
Journal of Geophysical Research | 2014
Simon M. Mudd; Mikaël Attal; David T. Milodowski; Stuart W. D. Grieve; Declan A. Valters