CEE 6210 - Stochastic Hydrology

Spring. Offered on demand. 3 credits. Student option grading.

Prerequisite: CEE 3040 or permission of instructor.

J. R. Stedinger.

Course examines statistical, time series, and stochastic optimization methods used to address water resources planning and management problems involving uncertainty objectives and hydrologic inputs. Statistical issues include maximum likelihood and moments estimators; censored data sets and historical information; probability plotting; Bayesian inference; regionalization methods; ARMA models; multivariate stochastic streamflow models; stochastic simulation; and stochastic reservoir-operation optimization models.