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Hydrologic Modeling

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  1. Hydrologic Modeling David R. Maidment, Oscar Robayo, Venkatesh Merwade, Carlos Patino, Nate Johnson, Sergio Martinez, Tim Whiteaker, Dan Obenour Center for Research in Water Resources University of Texas at Austin

  2. Modeling Geodatabase Hydrologic Information Systems A hydrologic information system is a combination of geospatial and temporal hydrologic data with hydrologic models that supports hydrologic practice, science and education

  3. GIS Preprocessors for Hydrologic Models GIS InterfacePrograms HMS Geo HMS Database RAS Geo RAS

  4. Connecting Arc Hydro and Hydrologic Models GIS Interfacedata models HMS HMS IDM Geo Database Arc Hydro data model RAS RAS IDM

  5. GeoRAS Connecting Arc Hydro and Hydrologic Models GIS Interfacedata models HMS HMS IDM GeoHMS Geo Database Arc Hydro data model RAS RAS IDM

  6. Development of a Geographic Framework for an Integrated Flood Modeling System By David Maidment Oscar Robayo Tim Whiteaker Dan Obenour University of Texas at Austin Center for Research in Water Resources Department of Civil Engineering August, 2004

  7. Regional Storm Water Modeling Program and Master Plan for San Antonio City of San Antonio

  8. San Antonio Regional Watershed Modeling System Geospatial Data: City, County SARA, other “Bring the models together” Modeling System Rainfall Data: Rain gages Nexrad Calibration Data: Flows Water Quality Floodplain Management Capital Improvement Planning Water quality planning Integrated Regional Water Resources planning Flood Forecasting

  9. Objectives • Develop a geographically integrated flood modeling system using ArcGIS and the HEC models using Salado Creek in San Antonio as a case study • Drive this system with digital rain maps to generate flood maps • Store and generate HEC flood models from an ArcGIS geodatabase • Develop a scenario management system to generate and evaluate alternative plans

  10. Objectives • Develop a geographically integrated flood modeling system using ArcGIS and the HEC models using Salado Creek in San Antonio as a case study • Drive this system with digital rain maps to generate flood maps • Store and generate HEC flood models from an ArcGIS geodatabase • Develop a scenario management system to generate and evaluate alternative plans

  11. NEXRAD WSR-88D Radars in Central Texas(Weather Surveillance Radar-1988 Doppler)scanning range = 230 km EWX – NEXRAD Radar in New Braunfels Source: PBS&J, 2003

  12. Digital Rain Maps from National Weather Service(03/04/2004)

  13. Digital Rain Maps from National Weather Service(03/29/2004)

  14. FEMA 100-year flood plain map in Bexar County

  15. Reading Historical Archives of NEXRAD Datasets from Internet FTP Server Internet Local

  16. Real-Time NEXRAD Datasets from Web Services

  17. Design Rainfall Maps 100yr 06h 100yr 12h 100yr 24h

  18. Regional Watershed Modeling System Case Study Salado Creek watershed Components: • Arc HydroGeodatabase • for whole watershed • HEC-HMShydrology model • for whole watershed • HEC-RAShydraulic model • for Rosillo Creek Bexar County Rosillo Creekwatershed

  19. Arc Hydro and HEC-HMS HEC-HMS Hydrologic Model Arc Hydro Schematic Network Calculates Flows

  20. Arc Hydro and HEC-RAS HEC-RAS Hydraulic Model Calculates Water Surface Elevations Arc Hydro Channel Cross Sections

  21. HEC Data Storage System (DSS)(binary data file system shared by HEC models) • An exact replica of the binary DSS files is stored in the ArcGIS geodatabase • An Arc 9 Toolbox exchanges data between DSS and the geodatabase Time series catalog Many time series

  22. Flow Change Points Models communicate with one another through Arc Hydro at designated points

  23. InformationFlow Rainfall 1 HEC-RAS HEC-HMS 3 Streamflow 2 Flood Elevations Streamflow 4

  24. FLOODPLAIN MAP Nexrad Map to Flood Map in Arc 9 Model Builder Flood map as output Model for flood flow HMS Model for flood depth Nexrad rainfall map as input

  25. Map to Map Demo

  26. Objectives • Develop a geographically integrated flood modeling system using ArcGIS and the HEC models using Salado Creek in San Antonio as a case study • Drive this system with digital rain maps to generate flood maps • Store and generate HEC flood models from an ArcGIS geodatabase • Develop a scenario management system to generate and evaluate alternative plans

  27. Connecting Arc Hydro and Hydrologic Models GIS Interfacedata models HMS Geo Database Arc Hydro data model RAS WRAP

  28. HEC Interface Data Models HMS files HMS IDM RAS files RAS IDM

  29. ArcCatalog Views

  30. IDM Arc Hydro Compliance • Arc Hydro connectivity and naming conventions Arc Hydro Geodatabase IDM Geodatabase HEC Program files HydroID FeatureID HMSCode Element Names

  31. Constant Loss Rate (inches/hour) Llano at Junction Model Rainfall lost to infiltration

  32. Snyder Time to Peak (hours) Llano at Junction Model Time to Peak

  33. Modified Puls Storage (ac-ft) Llano at Junction Model Storage required to produce 5000 cfs flow

  34. XML-Based Data Exchange • Platform Independent • Application Independent • Ready to share with many third party applications • Updates do not require code recompilation

  35. Objectives • Develop a geographically integrated flood modeling system using ArcGIS and the HEC models using Salado Creek in San Antonio as a case study • Drive this system with digital rain maps to generate flood maps • Store and generate HEC flood models from an ArcGIS geodatabase • Develop a scenario management system to generate and evaluate alternative plans

  36. Preliminary Interface Data Model for HSPF Nate Johnson & David Maidment ESRI User’s Conference San Diego, CA August 8, 2004

  37. Interface Data Model for HSPF Arc Hydro (demo) • Preliminary Geodatabase for HSPF IDM: Intermediate To BASINS

  38. GenScn:Generalized Scenario Management • GenScn is a open source, public domain program distributed with the USEPA’s BASINS software • Primarily designed for postprocessing timeseries data from HSPF models • Links Geospatial data (shapefiles) to Timeseries data and allows users to interact with the data

  39. Organizing and selecting timeseries that describe geospatial data • Timeseries are organized around 3 key attributes: • Location (can be linked to geospatial data) • Scenario (can be used for scenario management) • Constituent (what the timeseries describes) (demo)

  40. Animating Timeseries linked to geospatial data

  41. Arc Hydro and GenScn • CRWR has worked on reading Arc Hydro timeseries into GenScn’s representation to make it available to GenScn’s tools • When completed, will also facilitate the transfer of timeseries from Arc Hydro format to .wdm, and vice versa • .wdm is the time series format used by EPA Basins systems

  42. Habitat Model Instream Flow DecisionMaking Instream Flow Studies Criterion Depth & velocity Species groups Hydrodynamic Habitat Model Descriptions Biological Data Collection SMS/RMA2 ArcGIS

  43. Habitat Modeling Velocity + Depth + Habitat Description

  44. Mesohabitat Output Mesohabitat output for 41.22 m3/s.

  45. Priority Segments in Texas for Instream Flow Studies • Priority segments are 100s of miles long • Representative reaches (study areas) are only a few (<5) miles long

  46. Bathymetry of the Brazos River

  47. Data representation Profile lines and cross-sections Points

  48. 3D CrossSections and ProfileLines

  49. 4 River Channel Morphology Model • Get the shape (blue line or DOQ) • Using the shape, locate the thalweg • Using thalweg location, create cross-sections • Network of cross-sections and profile lines 1 2 3

  50. nL nR 0 - + Z P(ni, zi) d Zd w = nL + nR Normalizing the data For any point P(ni,zi), the normalized coordinates are: n* = (ni – nL)/w z* = (Z – zi)/d For nL = -15, nR = 35, d = 5, Z=10 P (10, 7.5) becomesPnew(0.5, 0.5)