roger_leventhal

roger_leventhal - The next hour of your life… z What are...

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Unformatted text preview: The next hour of your life… z What are computer models and why should we care (basics) z Types of models z Overseeing/reviewing a model study z Quick look at modeling science basics used for stream restoration and hot topics z Q&A What is a computer model z Model is a simulation of processes z No model does everything and you don’t need everything (thousands of models) z Think in terms of processes (examples) z Fluvial flow and sediment transport z Wind wave (estuaries) z Evaporation (ponds and lakes) z Overland flow z Many, many others z Physical models (turbulence) and complexity Hydrologic cycle Precipitation Surface Runoff Evaporation Transpiration Leaching Groundwater Discharge Evapotranspiration Interception The hydrologic cycle: Overview Precipitation Surface Runoff Evaporation Transpiration Leaching Groundwater Discharge Evapotranspiration Interception Runoff Processes Modeled Atmospheric Moisture Interception Snowpack Surface Soil Moisture Groundwater Streams and Lakes Runoff Rain Snow Evaporation Evapotranspiration Evaporation Throughfall and Stem Flow Snowmelt Infiltration Overland Flow Percolation Groundwater Flow Channel Flow Pervious Impervious Energy Watershed Boundary process changes by depth Soil Erosion and why should you care? z Time and money to start z Need to understand uncertainty and risk for decision making z What-if scenarios AND REMEMBER… z Models are a tool, understanding comes form the field (geomorphology first) Geomorphology and model selection z Develop range of geomorphic responses z Problem lack of sediment and scour ¾ Flatten slopes ¾ Lower W:D ratio ¾ Increases channel length (sinuosity) ¾ Increase roughness ¾ Does the proposed model evaluate all practical responses? Modeling Tradeoff Diagram Complexity of Model Risk of Oversimplifying/ Misrepresenting the System Difficulty in Obtaining an Answer, Cost Modeling water in the natural world z Most all hydrology/hydraulics models are a mixture of analytical and empirical routines z Model building - discretize and disaggregate z Spatial z Temporal z Process about computer models in general z Numerical Models z 1, 2, 3-D space numerical models z Steady versus unsteady state (time) z Proprietary versus open source z Analytical versus empirical z Many “analytical” models are semi-empirical z Modeling as an “art” z Developed over time as budget allows (LA funded bridge piers) Velocity Distribution In A Channel Depth-averaged velocity is above the bed at about 0.4 times the depth 1D- Flow modeling - Output 2D- Flow modeling - Output 50 100 150 200 250 300 350 400 0.5 Mean Trout Size (grams) Mean Pool Depth (meters) 1 1.5 y = 273.6x − 2.4 R 2 = 0.946 Empirical Relationships Setting up a model study z Write down the specific questions you want answered z Modeling should be commensurate with scale and importance of project z Demand clarity in results – you are now officially empowered to understand your modeling study z Calibration and sensitivity analysis Does modeling depends on choice...
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This note was uploaded on 12/25/2010 for the course ESC 1000 taught by Professor Faculty during the Fall '10 term at FAU.

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roger_leventhal - The next hour of your life… z What are...

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