Probabilistic Entrainment Models
Probabilistic Entrainment Models is a computational framework in sediment transport science that characterizes the likelihood of particle dislodgement by incorporating stochastic representations of fluid forces and grain resistance, distinguishing it from deterministic approaches through its explicit treatment of uncertainty and variability in entrainment processes.
12
Publications
510
Citations
32
Authors
21
Institutions
Publications per year
2017–2026
1
Parents
12
Partial entrainment of gravel bars during floods
Christopher P. Konrad, Derek B. Booth, Stephen J. Burges et al. · Water Resources Research · 2002 · 56 citations
1–5 of 12
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National Taiwan University of Science and Technology, Taiwan
2 publications · 94 citations
2
h-index
1–5 of 32
21

National Taiwan University
Taipei, Taiwan
3 h-index
6 publications
308 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
4 publications
320 citations

University of British Columbia
Vancouver, Canada
2 h-index
3 publications
59 citations

The Open University
Milton Keynes, United Kingdom
1 h-index
1 publications
23 citations
Earth and Space Research
Seattle, United States
1 h-index
1 publications
56 citations
Oregon Department of Education
Salem, United States
1 h-index
1 publications
23 citations

Klamath Community College
Klamath Falls, United States
1 h-index
1 publications
18 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
3 publications
75 citations
1–8 of 21
5 publications · 299 citations
5
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3 publications · 130 citations
3
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1 publications · 25 citations
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JASA · 1 publications · 20 citations
1
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1 publications · 18 citations
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1–5