BAE662 - STOCHASTIC HYDROLOGY

Stanley and Karen Pigman College of Engineering

Credits: 3

Hydrologic random variables and probability distributions. Statistical measures, development and use of Monte Carlo simulations in the generation of precipitation fields. Statistical tests of hydrologic data. Point frequency and regional frequency analysis. Analysis of hydrologic time series. Long-term trend, harmonic analysis of periodicity, autocorrelation, spectral analysis. Correlation and regression analysis. Linear stochastic models. Introduction to stochastic processes in hydrology, real-time hydrologic forecast (Kalman filter), pattern recognition, and stochastic differential equations.

Prerequisite(s):
Prereq: MA 214, CE 461G or equivalent.
Crosslisted with: CE 662