A platform for research: civil engineering, architecture and urbanism
Design Criteria for Hydrologic Extremes
Hydrologic extremes such as floods and low flows are treated as independent random variables. Accordingly, probabilistic models are derived for two approaches of adopting hydrologic extremes as design criteria in water resources project planning. One approach is to use the hydrologic event of a given recurrence interval, and the other is to use the extreme event observed in the record. The models are verified agreeably by the flood data of 10 Illinois rivers. Both models give essentially the same results when the period of design is less than one-tenth of the recurrence interval and the length of record. Also, by the Monte Carlo method, synthetic hydrologic extremes are generated by a time-series model for use in water resources systems analysis.
Design Criteria for Hydrologic Extremes
Hydrologic extremes such as floods and low flows are treated as independent random variables. Accordingly, probabilistic models are derived for two approaches of adopting hydrologic extremes as design criteria in water resources project planning. One approach is to use the hydrologic event of a given recurrence interval, and the other is to use the extreme event observed in the record. The models are verified agreeably by the flood data of 10 Illinois rivers. Both models give essentially the same results when the period of design is less than one-tenth of the recurrence interval and the length of record. Also, by the Monte Carlo method, synthetic hydrologic extremes are generated by a time-series model for use in water resources systems analysis.
Design Criteria for Hydrologic Extremes
Chow, Ven Te (author) / Takase, Nobutada (author)
Journal of the Hydraulics Division ; 103 ; 425-436
2021-01-01
121977-01-01 pages
Article (Journal)
Electronic Resource
Unknown
Analyzing Non-Stationarity in Hydrologic Extremes
TIBKAT | 2017
|Probabilistic Characterization of Hydrologic Extremes Using Bivariate Copulas
HENRY – Federal Waterways Engineering and Research Institute (BAW) | 2010
|Third-Order Polynomial Normal Transform Applied to Multivariate Hydrologic Extremes
DOAJ | 2019
|Infrastructure capacity planning for reducing risks of future hydrologic extremes
DOAJ | 2021
|