2020
DOI: 10.5194/hess-2020-509
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A Modular, Non-Newtonian, Model, Library Framework (DebrisLib) for Post-Wildfire Flood Risk Management

Abstract: Abstract. Wildfires increase flow and sediment load through removal of vegetation, alteration of soils, decreasing infiltration, and production of ash commonly generating a wide variety of geophysical flows (i.e., hyperconcentrated flows, mudflows, debris flows, etc.). Numerical modellers have developed a variety of Non-Newtonian algorithms to simulate each of these processes, and therefore, it can be difficult to understand the assumptions and limitations in any given model or replicate work. This diversity i… Show more

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Cited by 6 publications
(3 citation statements)
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“…HEC-RAS applies single-phase, rheological approaches to non-Newtonian simulations, based on a non-Newtonian algorithm library called DebrisLib [24][25][26][27]. Multiple developers, each responsible for different hydrologic and hydraulic models, collaborated on DebrisLib, update it regularly, and make it available for use across modeling platforms.…”
Section: Event Descriptions and Observed Datamentioning
confidence: 99%
See 1 more Smart Citation
“…HEC-RAS applies single-phase, rheological approaches to non-Newtonian simulations, based on a non-Newtonian algorithm library called DebrisLib [24][25][26][27]. Multiple developers, each responsible for different hydrologic and hydraulic models, collaborated on DebrisLib, update it regularly, and make it available for use across modeling platforms.…”
Section: Event Descriptions and Observed Datamentioning
confidence: 99%
“…The governing equations for the 2D, subgrid, and hydraulic equations in HEC-RAS [27,28] and the non-Newtonian algorithms in DebrisLib [24][25][26] are documented in detail elsewhere. While DebrisLib includes a wide variety of single-phase non-Newtonian approaches, both models presented in this paper use the full shallow water equations and the simplest non-Newtonian approach available: the Bingham Plastic.…”
Section: Event Descriptions and Observed Datamentioning
confidence: 99%
“…Therefore, many scientists and government organizations conduct very important research on erosive debris flow phenomena (Coussot, 2017;Webb et al, 1989). Among them are noteworthy computational researches of the hydraulic characteristics of debris flows (Chen & Wang, 2014;Floyd et al, 2020;Somos-Valenzuela et al, 2020;Takahashi, 1978;Tion et al, 2021).…”
Section: Introductionmentioning
confidence: 99%