A stochastic modeling approach for risk management of water resources systems

This study presents a stochastic modeling approach for quantifying and analyzing various uncertainties associated with water resources systems. Based on probabilistic chaos expansion (PCE) and multivariate analysis, a probabilistic simulation method is developed to construct a surrogate for complex hydrological models and to support efficient stochastic simulations. Stepwise cluster analysis (SCA) is used to establish complex nonlinear …