Abstract
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. Morrow plots data are produced by the model using 13-yr. of historical data. © 1984.
Recommended Citation
C. D. Morris, "A Stochastic Model For A Small-time-interval-intermittent Hydrologic Process," Journal of Hydrology, vol. 68, no. 1 thru 4, pp. 247 - 272, Elsevier, Jan 1984.
The definitive version is available at https://doi.org/10.1016/0022-1694(84)90214-2
Department(s)
Civil, Architectural and Environmental Engineering
International Standard Serial Number (ISSN)
0022-1694
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Elsevier, All rights reserved.
Publication Date
01 Jan 1984
