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Simulation Efforts for GLEON and CI in Flood Monitoring: Hydrostatic and Non-Hydrostatic Models

This document details various simulation efforts for GLEON focused on flood monitoring. It compares hydrostatic versus non-hydrostatic models, explores two-phase flows and coupling schemes with meteorological models, and discusses CFD coupling with water quality and ecological models. Key considerations include performance issues, complexity in different environments, and calibration of physical and ecological models. The report also includes case studies such as dam-breaking, Rayleigh-Taylor instability, and bubble-rising problems, presenting their simulation results and implications for flood monitoring efforts.

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Simulation Efforts for GLEON and CI in Flood Monitoring: Hydrostatic and Non-Hydrostatic Models

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  1. Two Demos • Simulation Efforts for GLEON • CI for flood Monitoring

  2. Simulation efforts for GLEON • Hydrostatic vs Non-hydrostatic Model(Chris Dallimore, Chin Wu) • Two-phase Flows vs Coupling Schemes w/ meteorological models(Wen-Yi Chang et al) • CFD Coupling w/ Water Quality Model vs Ecological models coupling w/ physical models(David Hamilton, Tim Kratz et al)

  3. Simulation efforts for GLEON • Possible issues for GLEON • Performance issues (CI supports: networks, computers, storages, visualization,e.g. TDW from CI communities of GLEON/CREON, e.g. QPSF, APAC, PRAGMA, Teragrid, OptiPuter … KING-tw etc.) • Complexity issues (different Env.) • Calibration of Physical Models & Ecological Models • Test bed for New Sim. Models (num. perspective) • Regional/Global issues • Meteorological models • Rivers/Ocean Current/Tidal Flows Interactions (interface to CREON) • Parameters from various shared sensor networks. (e.g. ADCP of Kenneth Chu) • Others

  4. Approach • Governing Equations • Equation of continuity • Equations of motion • Weakly compressibility constraint Song and Yuan, 1988

  5. Approach • Governing Equations • Weakly compressibility constraint ACM (Chorin, 1967) ( for steady flow calculation )

  6. Results • Case 1 : Dam-breaking problem • Grid : 200*80 • Initial hydrostatic pressure • Test b Fig. 1 Illustration of dam-breaking problem

  7. Results • Case 1 : Dam-breaking problem Fig. 2 Simulation of free surface evolution

  8. Results • Case 1 : Dam-breaking problem Fig. 3 Comparison of the computed and measured surge front positions Fig. 4 Comparison of the computed and measured water column heights

  9. Results • Case 1 : Dam-breaking problem Fig. 5 Normalized density profiles along the bottom and left sidewall of the container at time

  10. Results • Case 1 : Dam-breaking problem (summary) • for obtaining time-accurate solutions • is inefficient • Computational time: ADM = 2/5 TVD scheme • ADM is more diffusive than TVD scheme

  11. Results • Case 2 : Rayleigh-Taylor instability problem • Grid : 80*240 • Initial hydrostatic pressure • ADM Fig. 6 Illustration of Rayleigh-Taylor instability problem

  12. Results • Case 2 : Rayleigh-Taylor instability problem Fig. 7 Simulation of the interface evolution

  13. Results • Case 2 : Rayleigh-Taylor instability problem Fig. 8 Estimation of linear growth rate n of Rayleigh-Taylor instability Fig. 9 Comparison of the dimensionless growth rate and the theoretical value

  14. Results • Case 3 : Bubble-rising problem • Grid : 120*140 • Initial hydrostatic pressure • TVD-MUSCL Fig . 10 Illustration of bubble-rising problem

  15. Results • Case 3 : Bubble-rising problem Fig. 11 Simulation of the bubble-rising evolution

  16. Results • Case 3 : Bubble-rising problem Zhao et al., 2002 Fig. 12 Simulation results of bubble-rising in the present study Fig. 13 Simulation results of bubble-rising by Zhao et al, 2002

  17. CI for Flood Monitoring • Highly Geographical Distribution of Video Camera • Synthesized Multiple legacy systems w/ last miles and backbones, e.g. GSN/TWAREN. • Scale-up (Jyh-Horng Wu et al) • 2003 5 Video Camera: 3 in Fushan, 2 in Nanjenshan • 2005102 Video Camera • 2007 1000 Video Camera

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