Daniel Trappmann
University of Geneva
23 Papers
5 Citations
Daniel Trappmann is an academic researcher from University of Geneva. The author has contributed to research in topics: Rockfall & Flash flood. The author has an hindex of 13, co-authored 20 publications. Previous affiliations of Daniel Trappmann include University of Bern.
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Papers
Climate warming enhances snow avalanche risk in the Western Himalayas.
Juan Antonio Ballesteros-Cánovas,Daniel Trappmann,Jaime Madrigal-González,Jaime Madrigal-González,Nicolas Eckert,Markus Stoffel +5 more
TL;DR: Evidence is presented that the warming observed in recent decades has been accompanied by increased snow avalanche frequency in the Western Indian Himalayas, contradict the intuitive notion that warming results in less snow, and thus lower avalanche activity, and have major implications for the Western Himalayan region.
Integrating the mitigating effect of forests into quantitative rockfall risk analysis – Two case studies in Switzerland
TL;DR: In this article, the authors present a general framework which allows for integrating forests into quantitative rockfall risk analysis, based on the idea that forests influence the propagation of blocks and that they reduce their energy.
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Rolling stones and tree rings: A state of research on dendrogeomorphic reconstructions of rockfall
TL;DR: In this paper, a new approach considering impact probability and quantification of uncertainty in the reconstruction of rockfall time series as well as a quantitative estimate of presumably missed events is proposed.
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Counting scars on tree stems to assess rockfall hazards: A low effort approach, but how reliable?
TL;DR: In this article, the authors present a simplified method to quantify rockfall processes on forested slopes requiring less time and efforts, based on counting of visible scars on the stem surface of Common beech (Fagus sylvatica L.).
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Parameterization of rockfall source areas and magnitudes with ecological recorders: When disturbances in trees serve the calibration and validation of simulation runs
TL;DR: In this article, the authors exploit the interactions between biotic (tree growth) and abiotic (rockfall) processes in a mountain forest to gather and obtain reliable input data on rockfall for the 3D process based simulation model RockyFor3D.
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