4 results on '"Rudy Slingerland"'
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2. 2.4 A Community Approach to Modeling Earth- and Seascapes
- Author
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Rudy Slingerland and James P. M. Syvitski
- Subjects
Source code ,Computer science ,business.industry ,Modeling language ,Interface (Java) ,media_common.quotation_subject ,Suite ,Software ,Debugging ,Modular programming ,Systems engineering ,Software engineering ,business ,Function (engineering) ,media_common - Abstract
Developing a unified, predictive science of surface processes requires a quantitative understanding of critical surface-dynamics processes. An efficient approach to acquire this understanding is community modeling, defined here as the collective efforts of individuals to code, debug, test, document, run, and apply a suite of modeling components coupled in a framework or community modeling system. The modeling components each consist of modular code, commonly with a standardized interface to allow different modules to communicate with other components written in a different programming language. The framework is a set of agreed-upon protocols that allow the components to function together. Because of the framework, users can assemble components coded and vetted by specialists into complex models tuned to their specific objectives. The advantages of community modeling are efficient use of community resources and more effective integration of scientists and software specialists.
- Published
- 2013
- Full Text
- View/download PDF
3. Occurrences, Properties, and Predictive Models of Landslide-Generated Water Waves
- Author
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Barry Voight and Rudy Slingerland
- Subjects
Diffraction ,Nonlinear system ,Amplitude ,Meteorology ,Wave shoaling ,Wave height ,Reflection (physics) ,Refraction (sound) ,Waveform ,Geometry ,Mathematics - Abstract
Large water waves generated by landslides impacting with a body of water are known from Disenchantment and Lituya Bays, Alaska; Vaiont reservoir, Italy; Yanahuin Lake, Peru; Shimabara Bay, Japan; and many fiords in Norway. The combined death toll from these events most likely exceeds 20,000 people. Such waves may be oscillatory, solitary, or bores and nonlinear mathematical theories or linearizing assumptions are thus needed to describe their wave amplitudes, celerities, and periods. In this paper the following approaches are compared: (1) the Noda simulation of a vertically falling and horizontally moving slide by linearized impulsive wave theory and estimation of nonlinear wave properties; (2) the Raney and Butler modification of vertically averaged nonlinear wave equations written for two horizontal dimensions to include three landslide forcing functions, solved numerically over a grid for wave amplitude and celerity; (3) the empirical equations of Kamphuis and Bowering, based on dimensional analysis and two-dimensional experimental data; and (4) an empirical equation developed in this report from three-dimensional experimental data, i.e., log(η max /d) = a + b log(KE), where a, b = coefficients, η max = predicted wave amplitude, d = water depth, and KE = dimensionless slide kinetic energy. Beyond the slide area changes in waveform depend upon energy losses, water depth and basin geometry and include wave height decrease, refraction, diffraction, reflection, and shoaling. Three-dimensional mathematical and experimental models show wave height decrease to be a simple inverse function of distance if the remaining waveform modifiers are not too severe. Only the Raney and Butler model considers refraction and reflection. Run-up from waves breaking on a shore can be conservatively estimated by the Hall and Watts formula and is a function of initial wave amplitude, water depth, and shore slope. Predicted run-ups are higher than experimental run-ups from three-dimensional models. The 1958 Lituya Bay and 1905 Disenchantment Bay, Alaska events are examined in detail, and wave data are developed from field observations. These data and data based on a Waterways Experiment Station model are compared to wave hindcasts based on various predictive approaches, which yield a large range of predicted wave heights. The most difficult problems are in matching the exact basin geometry and estimating slide dimensions, time history, and mode of emplacement. Nevertheless, the hindcasts show that the mathematical and experimental model approaches do provide useful information upon which to base engineering decisions. In this regard the empirical equation developed in this report is at least as satisfactory as existing methods, and has the advantage of requiring less complicated input data.
- Published
- 1979
- Full Text
- View/download PDF
4. Nature of the Saltating Population in Wind Tunnel Experiments with Heterogeneous Size-Density Sands
- Author
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Rudy Slingerland and Kathleen M. Gerety
- Subjects
education.field_of_study ,Saltation (geology) ,Population ,Aeolian processes ,Geotechnical engineering ,Shear velocity ,education ,Sediment transport ,Quartz ,Geology ,Grain size ,Wind tunnel - Abstract
Publisher Summary This chapter discusses the nature of the saltating population in wind tunnel experiments with heterogeneous size-density sands. The ultimate goal of aeolian sediment transport studies is to predict the size distributions and densities of sand grains that will be entrained together, transported together, and deposited together in atmospheric flows of varying strengths. The size distributions and mass fluxes of three different density sands traveling together in saltation at varying heights above a mobile sand bed are determined in the chapter. The population of grains of all densities must be approximately lognormally distributed to simulate natural conditions. The bed must be mobile and rough, well-mixed, and the sand must be fed into the tunnel during transport measurements to ensure continued availability of all the size-density sub-populations present in the stock sand. The trend in grain size with increasing friction velocity varies with elevation above the bed, and this trait is similar for quartz and garnet. Sizes of both minerals traveling at 1 cm above the bed increase with each increment of the variable U* over the whole experimental range.
- Published
- 1983
- Full Text
- View/download PDF
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