Peter Schürch
Durham University
5 Papers
1 Citations
Peter Schürch is an academic researcher from Durham University. The author has contributed to research in topics: Debris flow & Debris. The author has an hindex of 4, co-authored 5 publications. Previous affiliations of Peter Schürch include Swiss Federal Institute for Forest, Snow and Landscape Research.
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Papers
Detection of surface change in complex topography using terrestrial laser scanning: application to the Illgraben debris-flow channel
TL;DR: In this paper, the authors propose a methodology to detect surface change and quantify the resultant volumetric errors in areas of complex topography such as channels, where data from multiple scan stations must be combined.
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Dynamic controls on erosion and deposition on debris-flow fans
TL;DR: In this article, the authors apply terrestrial laser scanning and flow hydrograph analysis to quantify erosion and deposition in a series of debris flows at Illgraben, Switzerland and identify flow depth as an important control on the pattern and magnitude of erosion, whereas deposition is governed more by the geometry of flow margins.
Quantitative reconstruction of late Holocene surface evolution on an alpine debris-flow fan
Peter Schürch,Alexander L. Densmore,Susan Ivy-Ochs,Nick Rosser,Florian Kober,Fritz Schlunegger,Brian W. McArdell,Vasili Alfimov +7 more
TL;DR: In this article, the authors used terrain analysis, radiocarbon dating of sediment fill in the Illgraben catchment, and cosmogenic 10Be and 36Cl exposure dating of debris-flow deposits on the fan to constrain the temporal evolution of the sediment routing system in the catchment and on the fans during the past 3200 years.
A novel debris-flow fan evolution model based on debris flow monitoring and lidar topography
Peter Schürch,Alexander L. Densmore,Nick Rosser,Brian W. Mc Ardell +3 more
- 01 Jun 2011
TL;DR: In this article, the authors present a new approach to the modeling of debris-flow fans, which is useful for both the analysis of long-term fan evolution and hazard analysis over short to medium time scales.