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Full-Text Articles in Civil and Environmental Engineering
A Stochastic Model For A Small-Time-Interval-Intermittent Hydrologic Process, Charles Darwin Morris
A Stochastic Model For A Small-Time-Interval-Intermittent Hydrologic Process, Charles Darwin Morris
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
A methodology is developed for the generation of intermittent small-time-interval (15-min.) precipitation. This methodology consists of three components: a probabilistic wet-and-dry sequence component; a Markovian precipitation distribution component; and a regressive spatial-distribution component. The theory of stochastic hydrologic modeling is described and procedures by which this theory can be applied to a hydrologic time series are presented. In particular, the application of the procedures to small-time-interval-intermittent hydrologic processes is given. The methodology is demonstrated by application to an actual precipitation network, the Boneyard Creek raingage network in Champaign-Urbana, Illinois, U.S.A. The trend in frequency of precipitation amounts from the 89-yr. …
Infiltration Formulas By Curve Number Procedure, Jerome A. Westphal
Infiltration Formulas By Curve Number Procedure, Jerome A. Westphal
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
No abstract provided.
Smemax? Caution!, Jerome A. Westphal
Smemax? Caution!, Jerome A. Westphal
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
The SMEMAX Transformation was tested on samples generated from log-Pearson Type III and Gumbel Extreme Value Type 1 distributions. Although the transformation results in a distribution with a skew near zero, it is not a true normal distribution. The coefficients of kurtosis for the transformed distributions are always less than three and when the parent distribution approaches a reverse-J shape, the transformed distribution is bimodal. When the skew coefficient of the logarithms of events is -0.5 or greater for samples from the log-Pearson Type III distribution, the SMEMAX procedure underestimates the magnitude of events with return periods of 50 yr …