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Statewide Map-based IDF Analysis. Norman Gonsalves for Caltrans. What are intensity-duration-frequency curves?. Plots of rainfall intensity against storm duration, for various “frequencies of occurrence”
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Statewide Map-based IDF Analysis Norman Gonsalves for Caltrans
What are intensity-duration-frequency curves? • Plots of rainfall intensity against storm duration, for various “frequencies of occurrence” • Frequency of occurrence is the chance of equally or exceeding an event in given period (usu. 1 year) • Frequency of occurrence is the inverse of “return period” • Storm duration is any time interval in a storm - not necessarily including the beginning or end.
What are IDF curves used for? • To estimate runoff from “small watersheds” • Small watersheds are small enough for rainfall to be uniform everywhere • Design storm is assumed to be uniform in time and space • “Time” = life of storm • Runoff gradually rises, then stabilizes at maximum • Time to stable maximum is time of concentration • Time of concentration set equal to design storm duration • Design duration + IDF curve gives design intensity • Return period is set by policy
How are IDF curves developed? • Empirically (educated guess!) • From analysis of rain gage data (the hard way) • Empirical methods err considerably on “safe side” • OK for small projects and small agencies • Results in waste for large projects • IDF curves based on Ven Te Chow’s “Handbook of Applied Hydrology”
Caltrans IDF equations • Developed by California Dept of Water Resources • Published in DWR Bulletin 195, in 1976 • Concluded that the mean annual precipitation is a reasonable basis for estimating short duration rainfall • Pearson Type III distribution is the best model precipitation frequencies for storm durations of 5 minutes to 30 days
Caltrans IDF equations • Best rain gage data would be 5-minute totals • Coefficients of variation and skew are important • DWR derived these from 24-hour data and assumed they applied to all smaller durations • Station skews good only from 100+ years of record; weighted skews for 25 to 100-year records • Less than 25 years: use regional values (per Interagency Advisory Comm. On Water, 1982)
To simplify computations, DWR developed maps of regional coefficients of skew and variation(See maps in handout)
Problems using Bulletin 195 • Maps of statistical values and gage locations, and tables of station data provided • Hard to define project location accurately • Hard to determine exact distance nearest gage • Acceptable distance to gage = 3 miles • Only 600 stations available statewide • If no station nearby, estimated values on maps may be used
Problems using software • Software developed to compute distances • Stations increased to 800, but still too few • 1 station for all of Solano county! • Interpolation between stations unsuccessful because of questions about “hydrological compatibility” and relative influence of stations
Proposed solutions • Number of stations must increase • Groups of hydrologically compatible stations must be identified, and interpolation methods agreed to • Estimates for areas with no stations must be agreed upon
Proposed solutions • Caltrans working with Jim Goodridge to try to use 4,000 non-recording gages for short duration work • Caltrans to utilize PRISM mean annual precipitation maps to solve problems of “hydrological compatibility” between stations and estimate rainfall in areas with no gages
Caltrans map-based IDF system • Statistical parameters, gage locations to be mapped in Arcview, along with PRISM map • Statistical maps to be copies of Bulletin 195 maps • Revision of statistical parameters and update of maps to be subject of another project • User clicks location, or enters coordinates and return period, and gets back IDF coefficients - all in Arcview
Caltrans map-based IDF system • For PCs without Arcview, Arcview maps to be gridded at 4 km intervals. Grid points to be dummy stations. • Dummy stations and corresponding data to be accessed by computer program • Caltrans hopes to make system available on the internet
What does project hope to achieve? • Enlarged rain gage database (from 800 to 4000 stations) • Elimination of the need for user interpolation by creating dummy stations within 2 km of any point • Credible precipitation estimation at high altitudes and in areas with no gages • Reduced margin of error for IDF equations