Stochastic hydrology [grd1sh]
| Civil Engineering |
Recapitulation of the basic probability concepts (random variables, probability distributions, moments, conditional probability, multivariate distributions). Time series models for hydrologic processes, analysis in the frequency domain. Markov processes, renewal processes and other stochastic models for precipitation and streamflow. Monte Carlo simulation and simulation of synthetic hydrologic series.
Introducing students to application of the stochastic processes to precipitation and runoff analysis as the basis for the research in water resources management.
The students are capable of independent use of stochastic hydrologic models in research and practice.
1. Yevjevich V. (1970) Stochastic Processes in Hydrology, Water Resources Publications, Littleton, Co.
2 Parzen E. (1962) Stochastic processes, Holden Day, San Francisco.
3. Cramer H., Leadbettter M.R. (1967) Stationary and related stochastic processes, Wiley.
4 Bras, R.L. and Rodriguez-Iturbe I. (1993) Random functions and hydrology, Dover publications, New-York.
LuAn-011