Suppr超能文献

长期合流制下水道沉积物行为预测中的不确定性估计:英国案例研究

Estimation of uncertainty in long term combined sewer sediment behaviour predictions, a UK case study.

作者信息

Schellart A N A, Buijs F A, Tait S J, Ashley R M

机构信息

Pennine Water Group, Department of Civil & Structural Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK.

出版信息

Water Sci Technol. 2008;57(9):1405-11. doi: 10.2166/wst.2008.299.

Abstract

There are regulatory driven requirements for UK water companies to reduce the number of properties at risk of sewer flooding. One of the potential causes of sewer flooding is the presence of persistent sediment deposits in sewers. This is a common problem in many combined sewers. Although the regulation is risk based, there is a gap in current knowledge on how risk assessment is affected by the uncertainty in sewer solids behaviour prediction. This paper describes a UK case study exploring the possibility of estimating uncertainty in sewer sediment deposit level predictions, using Monte Carlo simulations combined with a response database.

摘要

英国水务公司受到监管要求,需减少面临下水道洪水风险的房产数量。下水道洪水的潜在原因之一是下水道中存在持续性沉积物。这在许多合流制下水道中是个常见问题。尽管该法规基于风险,但目前对于下水道固体行为预测中的不确定性如何影响风险评估,仍存在知识空白。本文描述了一个英国案例研究,探讨使用蒙特卡罗模拟结合响应数据库来估计下水道沉积物水平预测不确定性的可能性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验