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Incorporating Reliability into the Definition of the Margin of Safety in Total Maximum Daily Load Calculations

机译:在总最大日负荷计算中将可靠性纳入安全裕度的定义中

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摘要

In the calculation of the total maximum daily load (TMDL), the margin of safety (MOS) is an attempt to account for the uncertainties related to the conceptual representation of the system and the inherently random nature of the processes under study. In general, the MOS is often the result of arbitrary or poorly supported decisions that have little to do with the reliability of the system. To improve the current practice in TMDL calculations, an enhanced reliability-based MOS is proposed here. The Modified Rosenblueth point estimate method is proposed in this paper as a valuable means to assess the uncertainty of a system, and, thus, its probability of failure. The Modified Rosenblueth method is a less computationally demanding uncertainty analysis technique, and can be easily coupled with deterministic hydraulic and water quality numerical models. A case study on arsenic concentrations in the Niagara River is discussed in this paper. The results of the uncertainty analysis are used to compute the effective risk of exceeding a selected water quality standard. It is shown that use of the uncertainty analysis in assessing the effective risk goes beyond the purely qualitative evaluation of traditional pass-and-fail methods. Moreover, the probability of exceeding a selected water quality standard is applied here to the calculation of the MOS term. Selecting the MOS based on the probability of failure provides a scientifically based definition of the TMDL. A reliability-based MOS enhances the current application of the TMDL by providing more reliable estimates, and is a step forward in making TMDL calculations more practical and standardized.
机译:在计算总最大日负荷(TMDL)时,安全系数(MOS)试图说明与系统的概念表示和所研究过程的固有随机性有关的不确定性。通常,MOS通常是任意或决策支持不佳的决定的结果,而这些决定与系统的可靠性几乎没有关系。为了改善TMDL计算中的当前实践,这里提出了一种基于可靠性的增强型MOS。本文提出了改进的Rosenblueth点估计方法,作为评估系统不确定性以及评估系统故障概率的有价值的手段。改进的Rosenblueth方法是一种对计算要求不高的不确定性分析技术,可以轻松地与确定性的水力和水质数值模型相结合。本文以尼亚加拉河中的砷浓度为例进行了研究。不确定性分析的结果用于计算超过所选水质标准的有效风险。结果表明,使用不确定性分析评估有效风险超出了对传统通过与失败方法的纯粹定性评估。此外,在此将超过所选水质标准的可能性应用于MOS项的计算。基于故障概率选择MOS可为TMDL提供科学依据。基于可靠性的MOS通过提供更可靠的估计来增强TMDL的当前应用,并且是使TMDL计算更加实用和标准化的一步。

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