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David R. Montgomery

Researcher at University of Washington

Publications -  319
Citations -  36146

David R. Montgomery is an academic researcher from University of Washington. The author has contributed to research in topics: Bedrock & Landslide. The author has an hindex of 92, co-authored 307 publications receiving 33134 citations. Previous affiliations of David R. Montgomery include Wake Forest University & University of California, Berkeley.

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Channel-reach morphology in mountain drainage basins

TL;DR: In this article, a classification of channel-reach morphology in mountain drainage basins synthesizes stream morphologies into seven distinct reach types: colluvial, bedrock, and five alluvial channel types (cascade, step pool, plane bed, pool rime and dune ripple).
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Soil erosion and agricultural sustainability

TL;DR: Data drawn from a global compilation of studies quantitatively confirm the long-articulated contention that erosion rates from conventionally plowed agricultural fields average 1–2 orders of magnitude greater than rates of soil production, erosion under native vegetation, and long-term geological erosion.
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A physically based model for the topographic control on shallow landsliding

TL;DR: In this paper, a model for the topographic influence on shallow landslide initiation is developed by coupling digital terrain data with near-surface through flow and slope stability models, which predicts the degree of soil saturation in response to a steady state rainfall for topographic elements defined by the intersection of contours and flow tube boundaries.
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A systematic analysis of eight decades of incipient motion studies, with special reference to gravel-bedded rivers

TL;DR: In this article, the authors used data compiled from eight decades of incipient motion studies to calculate dimensionless critical shear stress values of the median grain size, t* c 50.
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Digital elevation model grid size, landscape representation, and hydrologic simulations

TL;DR: In this article, high-resolution digital elevation data from two small catchments in the western United States were used to examine the effect of digital elevation model (DEM) grid size on the portrayal of the land surface and hydrologic simulations.