Journal ArticleDOI
Geomorphometric assessment of spatial sediment connectivity in small Alpine catchments
TLDR
In this paper, a geomorphometric index based on the approach by Borselli et al. was developed and applied to assess spatial sediment connectivity in two small catchments of the Italian Alps featuring contrasting morphological characteristics.About:
This article is published in Geomorphology.The article was published on 2013-04-15. It has received 495 citations till now. The article focuses on the topics: Sediment transport & Sediment.read more
Citations
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High-resolution topography for understanding Earth surface processes: Opportunities and challenges
TL;DR: In this paper, the authors provide an overview of the recent literature on high-resolution topographic analyses, underlining their opportunities and critical issues such as their limitations and future challenges.
Journal ArticleDOI
Sediment connectivity: a framework for understanding sediment transfer at multiple scales
TL;DR: In this paper, the concept of sediment connectivity is used to explain the connected transfer of sediment from a source to a sink in a catchment, and movement of sediment between different zones within the catchment: over hillslopes, between hilllopes and channels, and within channels.
Journal ArticleDOI
Hydrogeomorphic response to extreme rainfall in headwater systems: Flash floods and debris flows
TL;DR: In this paper, the authors provide a review on current European and international research on early warning systems for flash floods and debris flows, identifying: (a) the state of the art; (b) knowledge gaps; and (c) suggested research directions to advance warning capabilities for extreme hydrogeomorphic processes.
Journal ArticleDOI
Connectivity as an emergent property of geomorphic systems
Ellen Wohl,Gary Brierley,Daniel Cadol,Tom J. Coulthard,Tim Covino,Kirstie Fryirs,Gordon E. Grant,Robert G. Hilton,Stuart N. Lane,Francis J. Magilligan,Kimberly M. Meitzen,Paola Passalacqua,Ronald E. Poeppl,Sara L. Rathburn,Leonard S. Sklar +14 more
TL;DR: The value in evaluating boundaries between components of geomorphic systems as transition zones and examining the fluxes across them to understand landscape functioning is emphasized.
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Human topographic signatures and derived geomorphic processes across landscapes
Paolo Tarolli,Giulia Sofia +1 more
TL;DR: A review of the recent literature on the role of humans as a geological agent in shaping the morphology of the landscape can be found in this article, where the authors explore different contexts that are significantly characterized by anthropogenic topographic signatures: landscapes affected by mining activities, road networks and agricultural practices.
References
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Book
Predicting rainfall erosion losses : a guide to conservation planning
W. H. Wischmeier,Dwight D. Smith +1 more
TL;DR: The Universal Soil Loss Equation (USLE) as discussed by the authors is a model designed to predict the average rate of soil erosion for each feasible alternative combination of crop system and management practices in association with a specified soil type, rainfall pattern and topography.
A physically based, variable contributing area model of basin hydrology
Mike Kirkby,Keith Beven +1 more
TL;DR: In this paper, a hydrological forecasting model is presented that attempts to combine the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple lumped parameter basin models.
Journal ArticleDOI
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
Keith Beven,Mike Kirkby +1 more
TL;DR: In this paper, a hydrological forecasting model is presented that combines the important distributed effects of channel network topology and dynamic contributing areas with the advantages of simple luminescence.
Book
Predicting soil erosion by water : a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)
TL;DR: Renard, K.G., G.R.Weesies, D.K. McCool, and D.C. Yoder as mentioned in this paper have developed an erosion model predicting the average annual soil loss.
The extraction of drainage networks from digital elevation data : Computer Vision
Abstract: The extraction of drainage networks from digital elevation data is important for quantitative studies in geomorphology and hydrology. A method is presented for extracting drainage networks from gridded elevation data. The method handles artificial pits introduced by data collection systems and extracts only the major drainage paths. Its performance appears to be consistent with the visual interpretation of drainage patterns from elevation contours.