DERIVATION OF RAINFALL TEMPORAL PATTERNS USING MONTE CARLO SIMULATION TECHNIQUE (CASE STUDY: KARAJ DAM WATERSHED, IRAN)

Application of Joint Probability principles in flood estimation using Monte Carlo simulation technique can apply the majority of design data and flood estimation models. Design flood estimation is one of the major steps in the design and sizing of hydraulic structures. Design rainfall which cause to design flood must have some characteristics which one of them is distribution of rainfall during the rainy period which so-called design rainfall temporal pattern. Design rainfall temporal pattern is a major source of uncertainty in rainfall-based design flood estimation methods. In this study, Monte Carlo simulation technique which is based on the Joint Probability Approach applied to determine probability-distributed rainfall temporal pattern in Karaj Dam watershed, Iran. Also, this is the first time that RORB model is used in Iran also Joint Probability Approach and Monte Carlo simulation technique have not ever applied in Iran to extract rainfall temporal patterns.

Karaj Dam watershed, Iran, Joint Probability Approach, Monte Carlo simulation technique, Rainfall Temporal Pattern