Stochastic Generation of Rainfall Pattern with RPG Model
Subject Areas : environmental management
Ahmad Sharafti
1
(
Assistant Professor, Department Of Technical and Engineering, Science and Research Campus, Islamic Azad
University, Tehran, Iran.
)
Bagher Zahabiyoun
2
(
Associate Professor, Water Engineer (Civil Eng.), University Science of Technology, Tehran, Iran
)
Keywords: RPG model, Uncertainty, Monte Carlo, Rainfall Pattern,
Abstract :
Introduction: The existence of random variables is the major reason for uncertainty in floodmodeling. One of the major random variables that can affect the shape of flood hydrographs is stormpattern among others. Storm pattern include duration, depth and time distribution for any eventproducing its corresponding flood event. Therefore, uncertainty analysis of flood modelingdepends on uncertainty analyses of those effective variables of storm pattern.Material and method: RPG model is introduced and it used of Monte Carlo simulation andBootstrap Resampling to generate rainfall pattern on Seymareh catchment.Result and discussion: Result of this paper show that 90 percent of observed rainfall duration and 98percent of observed rainfall pattern exit in generated RPG band.
- Yen, B. C. and V. T. Chow. (1980). Design hyetographs for small drainage stmctures. Joumal of the Hydraulics Division, Vol. 106, No. HY 6, pp. 1055-1076.
- Preul, H. C. and Papadakis, C. N. (1973). Development of design storm hyetographs for Cincinnati, Ohio. Water Resources Bulletin, American Water Resources Association.Vol. 9, No. 2, pp: 291-300.
- Wu.S.J, Yang. J. C and Tung Y.K, (2006).’ Identification and stochastic generation of representative rainfall temporal patterns in Hong Kong territory’, Stoch Environ Res Risk Assess.20,PP. 171–183
- Wu.S.J, Yang. J. C and Tung Y.K, (2006).’ Stochastic generation of hourly rainstorm events’, Stoch Environ Res Risk Assess.21,PP. 195–212
- Huff, F. A. (1967). Time distribution of rainfall in heavy storms. Water Resources Research, 3(4): 1007-1019.
