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FLODRO 2.0: A User Friendly Personal Computer Package for Flood and Drought Frequency Analyses

by Jose A. Raynal-Villasenor, (M.ASCE),



Document Type: Proceeding Paper

Part of: North American Water and Environment Congress & Destructive Water

Abstract:

The use of personal computers have changed dramatically the way to perform several studies related with hydrological problems. The increased capabilities of the current generation of personal computers allows the hydrological engineer to explore options that a few years ago were unthinkable without a mainframe computer. Within this stream of development, user-friendly personal computer package FLODRO 2.0 was developed. FLODRO 2.0 has to independent programs: FLOOD and DROUGHT. Program FLOOD performs univariate flood frequency analysis by using eight typical distribution functions: Normal, Two and Three Parameter Log-Normal, Two and Three Parameter Gamma, Log-Pearson Type III, Extreme Value Type I (Gumbel) and General Extreme Value. There are two more options within this program that allows the user to perform bivariate and trivariate flood frequency analysis by using extreme value distribution functions only. Program DROUGHT performs drought frequency analysis by using five typical distribution functions: Three Parameter Log-Normal, Pearson Type III, Extreme Value Types I (Gumbel) and III (Weibull) and General Extreme Value. Within this program it is possible to perform bivariate drought frequency analysis by using extreme value distribution functions only. The characteristics, properties and construction of the programs FLOOD and DROUGHT of computer package FLODRO 2.0 are displayed in the paper towards its application in flood and drought frequency analysis. The selected methods of estimation of parameters are those of moments, maximum likelihood, sextiles and probability weighted moments for both flood and drought frequency analyses. An example of application is shown in the paper.

Subject Headings: Flood frequency | Droughts | Frequency analysis | Parameters (statistics) | Frequency distribution | Distribution functions | Computing in civil engineering

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