Empirical Numerical Simulation of Precipitation Events for Pluvial Flood Management
Publication: Geo-Extreme 2021
ABSTRACT
Effective management of pluvial flooding requires detailed simulation of precipitation events with their corresponding frequencies. In this paper, the authors present a data-driven methodology to simulate precipitation events for flood management based on time series modeling. Combinations of marginal distributions of Burr type III and generalized gamma and autocorrelation structures of Burr type XII, Pareto type II, and Weibull are adopted for time series simulation of precipitations of 10 min intervals. Historical records of precipitation from a gauge station in Harris County, Texas, from 1986 to 2013 are used to calibrate time series models. A minimum interevent time-based definition scheme for event is adopted to derive statistics of observed and simulated precipitation events. Simulated and empirical statistics of precipitation events with intensity measures exceeding severity thresholds are used to evaluate the performance of proposed models.
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Geo-Extreme 2021
Pages: 21 - 29
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© 2021 American Society of Civil Engineers.
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Published online: Nov 4, 2021
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