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“Storm precipitation analysis in Dallas County”

“Storm precipitation analysis in Dallas County”. “GIS in Water Resources ” by Gonzalo E. Espinoza. Introduction. Design Hydrologic systems Drainage Hydraulic Structures Nextrad (NOAA) High Resolution Doppler weather radars. Source of Daily and Hourly data. GIS Data Acquisition

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“Storm precipitation analysis in Dallas County”

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  1. “Storm precipitation analysis in Dallas County” “GIS in WaterResources” by Gonzalo E. Espinoza

  2. Introduction • Design Hydrologic systems • Drainage • Hydraulic Structures • Nextrad (NOAA) • High Resolution Doppler weather radars. • Source of Daily and Hourly data. • GIS • Data Acquisition • Data Processing • Results

  3. Data Acquisition • 13 years • 1997 - 2009 • 147 Virtual Stations • Daily Data (147) • 697,500 • Hourly Data (5) • 569,00

  4. Precipitation: Raw Data • Daily Hourly

  5. Data Processing • Export table HydroDesktop • Add Table ArcGIS • Project x,y • Time Enabled bar • Thiessen Polygons Tool • Mean Center • Maximum Series • Daily • Hourly • ProbabilityDistribution • i-d-T and p-d-T curves

  6. https://webspace.utexas.edu/gee272/www/Index_files/GIS/pMovie.wmvhttps://webspace.utexas.edu/gee272/www/Index_files/GIS/pMovie.wmv

  7. Maximum Series

  8. Probability Distributions

  9. Precipitation Distribution Daily Data Hourly Data • 147 Stations • AAP = 33.76 inches • Uniform • 5 Stations • AAP = 34.20 • South East

  10. Results • 98.7% AAP • Same Mean / Different distribution • Representative values of precipitation • In order to compare, select the same stations

  11. Conclusions • Derived Data • Representative • Smaller Extrapolated Area • Computational Time • Downloading, Processing and Projecting • IT fast development • HydroDesktop • Powerful Tool • Sometime Crashes (Beta Version)

  12. Questions? https://webspace.utexas.edu/gee272/www/Index_files/Page305.htm Contact Information: ic.esda@mail.utexas.edu

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