Now showing items 1-20 of 95402

      • Reproducibility of debris-flow fan physical modeling experiments 

        Contributor:Adams, Kailey; Wasklewicz, Thad; De Haas, Tjalling; Lecce, Scott; Gares, Paul
        Debris-flow fans are common in steep mountainous terrain. The complexity of these environments makes it difficult to be onsite at the time of the debris flow, which has led many researchers to turn to physical models. While ...
      • Influence of momentum correction factor and friction factor on flow models of debris-flow related to flow surface deformation 

        Contributor:Arai, Muneyuki
        Intermittent debris-flow surges may be considered as roll wave phenomenon of shallow water flow that naturally develop in the mountain basins. The shape of the water surface with discontinuous depth change is one manifestation ...
      • Constraining parameter uncertainty in modeling debris-flow initiation during the September 2013 Colorado Front Range storm 

        Contributor:Baum, Rex L.; Scheevel, Caroline R.; Jones, Eric S.
        The occurrence of debris flows during the September 2013 northern Colorado floods took the emergency management community by surprise. The September 2013 debris flows in the Colorado Front Range initiated from shallow ...
      • Evaluation of debris-flow runout model accuracy and complexity in Montecito, California, An : towards a framework for regional inundation-hazard forecasting 

        Contributor:Bessette-Kirton, Erin K.; Kean, Jason W.; Coe, Jeffrey A.; Rengers, Francis K.; Staley, Dennis M.
        Numerous debris-flow inundation models have been applied retroactively to noteworthy events around the world. While such studies can be useful in identifying controlling factors, calibrating model parameters, and assessing ...
      • Discrete-element investigation of granular debris-flow runup against slit structures 

        Contributor:Du, Junhan; Zhou, Gordon G. D.
        Runup of granular debris flows against slit dams on slopes is a complex process that involves deceleration, deposition and discharge. It is imperative to understand the runup mechanism and to predict the maximum runup ...
      • Method for predicting debris-flow occurrence based on a rainfall and sediment runoff model, A 

        Contributor:Fujita, Masaharu; Yamanoi, Kazuki; Suzuki, Gohta
        Based on a basin scale rainfall runoff model, we proposed a prediction method of debris-flow occurrence on steep mountain slopes related to hydrological processes such as the rainfall infiltration, the surface flow and the ...
      • Seamless numerical simulation of a hazard cascade in which a landslide triggers a dam-breach flood and consequent debris flow 

        Contributor:George, David L.; Iverson, Richard M.; Cannon, Charles M.
        Numerical simulations of hazard cascades downstream from moraine-dammed lakes commonly must specify linkages between models of discrete processes such as wave overtopping, dam breaching, erosion, and downstream floods or ...
      • Woody debris blocking conditions at bridges in mountainous streams 

        Contributor:Hasegawa, Yuji; Nakatani, Kana; Satofuka, Yoshifumi
        When debris flows occur, bridges in mountainous streams may become dangerous when blocked by woody debris. When bridges are blocked with accumulated woody debris, high flow depths can cause the flow to spread widely. ...
      • Flume experiments and numerical simulation focused on fine sediments in stony debris flow 

        Contributor:Hina, Junya; Uchida, Taro; Matsumoto, Naoki; Sakurai, Wataru; Nishiguchi, Yuki; Murakami, Masato
        In stony debris flow, it has been considered that the gravels move like laminar flow, but the interstitial water behave as turbulent flow. Moreover, fine particles can behave with the interstitial water as fluid and many ...
      • B notes, 1985-1988 

        Contributor:Simpson, Robert G.; Zermuehlen, Leslie A.; Morris, Bill; Toyne, Dooley; Limbach, Paul; Culhane, Danny; Baublits, Bill; Blake, Leonard; Morris, Barb; Johnson, Joyce; Collison, V. L.; Wilson, R. L.; Breed, Michael D.; Fletcher, David J. C.; Lee, Guy; Howes, F. N.; Kent, Robert; Hendricks, Paul; Thurman, Jim; Amos, J. M.; Morse, Roger D.; Shepard, K.; Snodgrass, R. E.; Hepburn, Howard R.; Free, John B.; Crane, Eva; Colorado Beekeepers Association; Colorado Agricultural Experiment Station. Entomology Section
        Combined B Notes newsletters ranging from March 1985-September 1988. Includes articles related to Colorado beekeeping.
      • B Notes, 1982-1984 

        Contributor:Toyne, L. Dooley; Fischer, Randy; Thurman, Jim; Rhodes, Howard A.; Morris, Bill; Jaycox, Elbert R.; Simpson, Robert G.; Colorado Beekeepers Association; Colorado Agricultural Experiment Station. Entomology Section
        Combined B Notes newsletters ranging from March 1982-December 1984. Includes articles related to Colorado beekeeping.
      • B notes, 1974-1982 

        Contributor:Wadleigh, Roger; Hantsbarger, William M.; Baublits, Bill; Haefeli, Jr., John; Baker, Mary; Toyne, Dooley; Morse, Roger A.; Brückner, Dorothea; Ware, George W.; Nunamaker, Richard A.; Theobald, Tom; Ware, George W.; Walker, P.; Lowe, D. G.; Harding, J. P.; Colorado Beekeepers Association; Colorado Agricultural Experiment Station. Entomology Section
        Combined B Notes newsletters ranging from February 1974-March 1982. Includes articles related to Colorado beekeeping.
      • B Notes, 1964-1973 

        Contributor:Wilson, William T.; Hantsbarger, William M.; Wadleigh, Roger; Colorado Beekeepers Association; Colorado Agricultural Experiment Station. Entomology Section
        Combined B Notes newsletters ranging from May 1964-November 1973. Includes articles related to Colorado beekeeping.
      • B Notes, 1950-1964 

        Contributor:Moffett, Joseph O.; Wilson, William T.; Watkins, S. J.; Colorado Beekeepers Association; Colorado Agricultural Experiment Station. Entomology Section
        Combined B Notes newsletters ranging from May 1950-April 1964. Includes articles related to Colorado beekeeping.
      • On the regression of velocity distribution of debris flows using machine learning techniques 

        Contributor:Huang, Li-Jeng; Hsiao, Darn-Horng
        Five machine learning techniques-- classical nonlinear regression (NLR), multi-layer perceptrons (MLP), support vector machines (SVM) with radial-basis function (RBF) kernel, k nearest neighbour (kNN) and decision tree ...
      • Experimental evaluation for peak and temporal changes in debris-flow initiation processes 

        Contributor:Itoh, Takahiro; Ikeda, Akihiko; Mizuyama, Takahisa
        Saturated sediment water mixture flow can move as landslide if the vertical sediment concentration is constant and the value takes a maximum sediment concentration, c*, which is sediment concentration in the non-flowing ...
      • Correlation between the slump parameters and rheological parameters of debris-flow 

        Contributor:Jan, Chyan-Deng; Yang, Chih-Yuan; Hsu, Ciao-Kai; Dey, Litan
        Rheological characteristics are important information for understanding or simulating debris-flow movement. Debris-flow movements involves complex and heterogeneous material with grain size distributions ranging from silt ...
      • Concentration distribution in debris flow consisting of particles with two different sizes 

        Contributor:Kisa, Hiroshi; Miyoshi, Iwao
        Debris flows contain solid particles of various sizes. The gaps between large particles contain fine-grained sediment, and this is known to maintain high pore pressures. Inverse grading in which large particles become ...
      • Debris-flow hazard investigation with Kanako-2D in a rural basin, Alto Feliz municipality (Brazil) 

        Contributor:Kobiyama, Masato; Michel, Rossano Dalla Lana
        Mountainous regions of Brazil, especially where rural families live, need to be assessed for debris flow. Though debris flows rarely occur in this country, they have caused serious damages including human losses. Computational ...
      • Numerical analysis on the behavior of the debris flows and impact force on check dams 

        Contributor:Lee, Kwangwoo; Jeong, Sangseom; Kim, Hyunki
        Debris flows with high velocity may have enormous impact forces on obstacles in their flow paths. It is necessary to install protective structures, such as check dams that slow down or interrupt the debris flows from ...