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Framework for Estimating Uncertainty Limits of Daily Flow Rate Data

机译:估计每日流量数据不确定性限制的框架

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The South Florida Water Management District (District) monitors flow rate in its extensive canal system through water control structures for the purposes of accurate flood prediction and control, water supply management, and water-quality impact assessment. Flow rates through control structures are estimated using rating equations as a function of the headwater and tailwater stages, structure operations, and geometry data. These variables and their functional relationship with flow rates are subject to uncertainties that propagate into the estimated flow rates. The estimation of these uncertainties is needed to assess the accuracy of the flow rates and to guide operational decisions. The District has initiated a pioneering uncertainty analysis project aiming at integrating uncertainty limits into the flow rate reporting. Once calculated, associated uncertainty limits will be reported with estimated flow rates in the District's DBHYDRO database. In this paper, we present a framework for the estimation of uncertainty in reported mean daily flow rates, developed in conformity with international standards. The application of this framework to a spillway control structure is also presented.
机译:南佛罗里达水管理区(区)通过水控制结构监控其广泛的运河系统中的流量,以进行准确的洪水预测和控制,供水管理和水质影响评估。通过控制方程式的流量是根据上游和下游水位,结构操作和几何数据的等级方程来估算的。这些变量及其与流量的函数关系会受到不确定性的影响,这些不确定性会传播到估计的流量中。需要对这些不确定性进行估计,以评估流量的准确性并指导操作决策。该地区已启动了一个开创性的不确定性分析项目,旨在将不确定性限制整合到流量报告中。一旦计算出,相关的不确定性限值将与估计的流速一起报告在学区的DBHYDRO数据库中。在本文中,我们提供了一个根据国际标准开发的估算每日平均流量不确定性的框架。还介绍了该框架在溢洪道控制结构中的应用。

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