Stochastic Analysis of Estuarine Hydrodynamics (RUI)
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'Edward H. Bryan', 'PO_EMAI': None, 'PO_PHON': None}
The objective of this proposal is to formulate a two dimensional                stochastic estuarine hydrodynamic model, incorporating probabilistic            factors that describe the estuarine system's boundary and initial               conditions, parameter fields and forcing functions.  The research will          involve analysis of parameter and uncertainty on the solution of the            hydrodynamic equations, use of several solution algorithms for the              stochastic prediction problem, Monte Carlo method quasilinearization            allied with perturbation and operator analysis and the direct solution          of the stochastic differential equations that characterize behavior of          the estuarine system.  The solution algorithms will be used to                  generate the probability density functions and/or moments describing            water elevations and flow rates in the estuarine system.  During the            final phase of the project, solution algorithms will be used for the            stochastic prediction of water levels in the Redwood Creek estuary              in northern California.  The results of the investigation are expected          to provide baseline information regarding how parameter and forcing             function uncertainty affects the output variances of water                      elevations, and solution algorithms for predicting variations in                estuarine water quality that is affected by pollutants from industrial,         municipal and agricultural sources.
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[{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}, {'Code': '912000', 'Text': 'CROSS-DIRECTORATE PROGRAMS'}]
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