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A Systems Approach to Sedimentation Modeling for the Twenty-first Century

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25 diapositives · 389 Views · Sep 06, 2014

This paper presents a comprehensive discussion on the systems approach to sedimentation modeling in coastal environments, exploring various factors that influence modeling practices. It encompasses an overview of modeling applications, compares different structural paradigms, and examines examples of distributed modeling systems. Key topics include environmental impacts, coastal engineering challenges, and geological considerations, along with advanced techniques for sediment-water nutrient exchange and the implications of dredging. Practical insights are provided on hardware/software trends and funding requirements necessary for effective implementation.

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A Systems Approach to Sedimentation Modeling for the Twenty-first Century
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  1. A Systems Approach to Sedimentation Modeling for the Twenty-first Century Timothy R. Keen Oceanography Division Naval Research Laboratory Stennis Space Center, MS 39529

  2. Objective Discuss the factors affecting a systems approach to sedimentation modeling in coastal areas.

  3. Outline • Overview of sedimentation modeling applications • Summarize different structural paradigms for sedimentation modeling • Examples of distributed modeling systems • Hardware/software/funding trends

  4. Estuarine and Marine Applications • Environmental • Coastal engineering • Geological • Naval

  5. Environmental • Problems • Sediment-water nutrient exchange • Pore water and solid phase chemistry • Dredging-related releases • Approaches • Bed models • Water quality sub-models • Fine grained sediment processes

  6. Coastal Engineering • Problems • Structural design • Morphological response • Approaches • Small-scale models • Range of time scales • Dependence on measurements

  7. Geological • Problems • Strata formation • Geomorphology • Approaches • Large time and space scales • Parametric models • Mixed sediment

  8. Naval • Problems • Mine Counter Measures • Expeditionary warfare • Naval Special Warfare • Approaches • Small time and space scales • Forecasting/nowcasting • Sensor performance

  9. Comparisons • Similarities • All need hydrodynamic forcing. • All need to calculate the quantity of sediment being entrained and/or transported. • Differences • They differ in time and spatial scales. • Different input/output requirements

  10. Coastal Ocean Hydrodynamic-Sedimentation Modeling Systems: Paradigms • Tracer • Coupled • Linked • Stand-alone • Distributed

  11. Tracer Paradigm • ADVANTAGES • Straightforward implementation • Feedback CHARACTERISTICS • Uses hydrodynamic model grid • Uses hydrodynamic model mixing. • Global variables • Single platform Currents/Waves + Sedimentation • DISADVANTAGES • Inefficient • Lack of flexibility • Numerics determined by hydrodynamic model

  12. Coupled Paradigm • ADVANTAGES • Straightforward to implement • Sedimentation model can be more independent CHARACTERISTICS • Same horizontal grid as hydrodynamic model • Time step is relaxed. • Vertical resolution can be different. • Global and local variables • Single platform Currents/ Waves Sedimentation • DISADVANTAGES • Limited Flexibility • Some numerics determined by hydrodynamic model • Limited Feedback

  13. Linked Paradigm • CHARACTERISTICS • Same horizontal grid as hydrodynamic model • Time constraint is relaxed. • Vertical resolution can be different. • Local variables • Multiple platforms • ADVANTAGES • Straightforward to implement • Models do not run concurrently • Efficient Currents/ Waves Sedimentation • DISADVANTAGES • Limited Flexibility • No Feedback

  14. Stand-Alone Paradigm • ADVANTAGES • Easy to implement • Flexibility • Efficient CHARACTERISTICS • Sedimentation model is independent • All forcing fields interpolated • Sedimentation model physics/numerics separate • Local variables • Multiple platforms Currents Waves • DISADVANTAGES • Input processing • No Feedback Sedimentation

  15. Distributed Paradigm • ADVANTAGES • Flexibility • Feedback • Straightforward modification • Scalability CHARACTERISTICS • Sedimentation model is independent • All forcing fields interpolated • Sedimentation model physics/numerics separate • Local/global variables • Multiple platforms Server Currents Waves • DISADVANTAGES • Input/Output processing • Difficult to implement Sedimentation

  16. Distributed System Examples • Distributed Marine Environmental Forecast System (DMEFS) • High Fidelity Simulation Of Littoral Environments (HFSOLE)

  17. DMEFS • Research test bed: demonstrate the integration of various technologies and components prior to DoD operational use • Open framework: operate climate, weather, and ocean (CWO) models. • Prototype system: couple atmosphere and ocean models into a distributed hindcast/nowcast/forecast system

  18. DMEFS • DMEFS is an application and an infrastructure • A collection of METOC models, applications, utilities, and services • A software infrastructure comprised of a user front end, middleware, and interfaces to back end processors

  19. DMEFS Summary • Seamless access via a standard web browser. • User friendly • Easy dissemination of results • Brings powerful computational and database resources to user’s fingertips

  20. High Fidelity Simulation of Littoral Environments (HFSOLE) Goal: Couple technologies that model the key phenomena governing the complex littoral environment

  21. Approach • Improve scalable nearshore models • Link scalable CWO models • Implement distributed capabilities on scalable DoD HPC platforms

  22. HFSOLE: Components • Wind: COAMPS (FNMOC) • Waves: WAM, SWAN, STWAVE • Currents: ADCIRC, NCOM, HYCOM • Rivers: Adaptive Hydraulics Code (ADH) • Sedimentation: LSOM • Model integration framework:Common Object Request Broker Architecture (CORBA)

  23. Trends • Hardware, algorithms, and software • Scalable computers • Shared memory/message passing • Global computational grid development • Software Upgrading: e.g., Common High performance computing Software Support Initiative (CHSSI) • Funding for distributed modeling systems • ONR: Naval Battlespace Awareness (S&T Grand Challenge) • NSF: Information Technology Research (ITR) for Geosciences

  24. Conclusions • The common denominator for the different sedimentation modeling applications is not the model itself but the need to make efficient use of results. • Preliminary technology issues have been addressed. • Now is the time to develop a sedimentation modeling system that allows flexibility and ease of use.

  25. Acknowledgements This work was sponsored by the Office of Naval Research and the Department of Defense High Performance Computing Modernization Office.