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Conference Proceedings and Events

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https://hdl.handle.net/10217/100282
Colorado State University hosts conferences and events from all disciplines across campus. These digital collections include materials presented at various conferences and events held at CSU.

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Browsing Conference Proceedings and Events by Subject "advancement coefficient"

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    Engineering design parameters of storms in Venezuela
    (Colorado State University. Libraries, 2003) Guevara, Edilberto, author; Colorado State University, publisher
    This research deals with hydrologic analysis to estimation engineering design parameters of storms in Venezuela, which help hydrologists to improve their environmental designs. This analysis focus on storm advancement coefficient r (SAC) to establish storm pluviographs; Intensity Duration Frequency (IDF); and Area - Depth – Duration relationships (ADD). Based on the analysis of 275 storm events, values of r were calculated obtaining a mean value of 0.41 and a standard deviation of 0.075, and being 61 , 30 and 9 % of the storms from the advanced, retarded and symmetric type respectively. Rainfall data of 162 recorders spread all over the country were used for the IDF analysis, using nevertheless instead traditional analysis a model that allows to estimate peak rainfall/intensities for any duration and frequency based on the General Equation for Hydrologic Frequency Analysis (GEHFA), in conjunction with a transform function that linearize the mass curve of the accumulated rainfall amounts and the method of minimum squares to estimate the parameters of the GEHFA: mean, μ, and standard deviations of the rainfall extremes. The results are given as equations for μ and σ; correlation coefficients are higher than 0.99. Based on the analysis of 47 storms occurred on Northeast, Andes, Central and Central West regions of Venezuela, lineal models for Area Reduction Factors as function of D were developed, with correlation coefficients values over 0.980. Design rainfall hyetographs are built base on estimated r values and the established IDF model. Furthermore, Area Reduction Factor models can be used to reduce rainfall point values.