Stochastic Analysis of Estuarine Hydrodynamics (RUI)

河口水动力随机分析 (RUI)

• 批准号: 8806768
• 负责人: Robert Willis
• 金额: $ 10.34万
• 依托单位: Humboldt State University Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-01 至 1991-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8806768&HistoricalAwards=false
• 关键词: Stochastic; Analysis; Estuarine; Hydrodynamics; RUI

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.

本文的目标是建立一个包含描述河口系统边界和初始条件、参数场和强迫函数的概率因子的二维随机河口水动力模型。研究将涉及水动力方程解的参数和不确定性分析，随机预测问题的几种求解算法的使用，蒙特卡罗方法与扰动和算子分析相结合的拟线性化以及表征河口系统行为的随机微分方程的直接解。求解算法将用于生成概率密度函数和/或矩，描述河口系统中的水位和流速。在项目的最后阶段，求解算法将用于加利福尼亚北部红木溪河口水位的随机预测。调查结果预计将提供关于参数和强迫函数不确定性如何影响水高度输出变化的基线信息，以及预测受工业、市政和农业污染源影响的河口水质变化的解决算法。