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Hydrological Data Access and Simple Model Building

This document presents a comprehensive overview of theories and methods used for predicting stream flow using hydrological data. It explores tools like HydroModeler in HydroDesktop and discusses the process of calculating precipitable water at specific locations, particularly in the Upper Trinity River Basin. The document details parameter estimations, equations for various hydrological factors, and highlights the importance of accurate data linkage. Future work includes improving model parameters and report writing based on current findings and challenges.

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Hydrological Data Access and Simple Model Building

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  1. Hydrological Data Access and Simple Model Building Jingqi Dong April 27th, 2010

  2. Contents • Theories • Methods to predict stream flow • Tools • HydroModeler in HydroDesktop • Work done • Calculated precipitable water - Warm-up… • Used HydroModeler • Future work

  3. Theories Hydrologic Models

  4. Tools Components Input Rainfall Use Link Time Series Data Link Output Streamflow

  5. Precipitable water - Station Upper Trinity River Basin Precipitable Water at one location for March 1st.

  6. Precipitable water - Equations Surface Temperature; Cloud Height; Lapse Rate α; Pressure P; Increment z

  7. Precipitable water - Cloud Height • MODIS Online Visualization and Analysis System

  8. HydroModeler Run!

  9. Download HydroModeler • IRODs is a website for CUAHSI Online

  10. Preparation – Spatial Shapefiles

  11. Spatial Shapefiles- Parameters • Equations:

  12. Spatial Shapefiles- Parameters

  13. Spatial Shapefiles- Parameters • Estimate Curve Number according to the Land Use; • Tc = Tland + Triver(min) = Xland/vland + Xriver/vriver • Use Table 5.7.1 in “Applied Hydrology” • Estimate X(Wedge storage weighting factor) according to river types: 0.0 <= X <= 0.5 • X = 0 for reservoir-type storage • X = 0.5 for 'full' wedge storage • Estimate K (Proportionality Coefficient: The travel time of flood wave) :

  14. Realtime precipitation  NEXRAD

  15. Model Linking

  16. Run  Successful  Bad Result…

  17. Possible Reasons… • Input precipitation ID is not correspond with the Shapefiles’ GridID! • Parameters’ estimation error

  18. After corresponding…

  19. Future work… • Improve the parameters • Write report

  20. References • Ven Chow, David Maidment, Larry Mays. Applied Hydrology. [M] New York: McGraw-Hill, c1988. • Hartmann, Dennis L. Global Physical Climatology. [M] Burlington: Elsevier, 1994. • JASEM M. AL-HUMOUD and ISMAIL I. ESEN (2006), Approximate Methods for the Estimation of Muskingum Flood Routing Parameters.[J] Water Resources Management. 20: 979–990 • USDA – Natural Resources Conservation Service (1995), Upper Trinity River Basin Study.

  21. Many thanks to… • Dr. Maidment • Dr. Jonathan L Goodall& Tony Castronova in the University of South Carolina • Harish Sangireddy • Fernando R Salas • Eric Hersh • Stephen Swan • All co-workers in CRWR…

  22. Thank you! Questions?

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