Evaluating Nonlinear Methods for Flood Hydrograph Generation to Evaluate Bridge Scour
项目名称: Evaluating Nonlinear Methods for Flood Hydrograph Generation to Evaluate Bridge Scour
摘要: The most common cause of bridge failures is scour of bed material around bridge foundations by floods. For non-cohesive bed material, scour can occur rapidly, and maximum scour depths can be reached during a single flood event. For cohesive bed material, scour often occurs much slower, so the cumulative contribution of multiple storm events must be considered. Bed erosion depends nonlinearly on the streamflow rate, so scour calculations require an accurate representation of the distribution of flow rates that a bridge will encounter. In some cases, stream flows are obtained from unit hydrograph (UH) theory, which assumes a linear relationship between the excess rainfall in a watershed and the resulting streamflow at the watershed outlet (upstream of the bridge). However, the linearity assumption is increasingly recognized by hydrologists as invalid. Incorrectly assuming linearity can result in underestimation of the peak flows for large flood events. The overall goal of this project is to develop guidelines for using a nonlinear UH framework that recently became available in the widely used modeling software HEC-HMS. Theoretical approaches will be developed to estimate two functions that are required to implement the UH method. Its performance will be tested by comparisons to observed hydrographs for two large flood events in four basins in the Colorado Front Range. The importance of considering nonlinearity will also be assessed by comparing design flows from linear and nonlinear UH methods and by evaluating implications for bridge scour under a range of hypothetical scenarios.
状态: Active
资金: 118900
资助组织: Office of the Assistant Secretary for Research and Technology
项目负责人: Tolliver, Denver
执行机构: Dept. of Civil and Environmental Engineering
开始时间: 20200218
预计完成日期: 20220731
主题领域: Bridges and other structures;Highways;Hydraulics and Hydrology
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