首页> 外文期刊>Urban water journal >Selecting a series of storm events for a model-based assessment of combined sewer overflows
【24h】

Selecting a series of storm events for a model-based assessment of combined sewer overflows

机译:选择一系列暴风雨事件以对下水道溢流进行基于模型的评估

获取原文
获取原文并翻译 | 示例
           

摘要

The hydraulic verification of combined sewer systems as well as the assessment of combined sewer overflows (CSOs) can be conducted using a hydrodynamic model. Unfortunately, long-term simulations with hydrodynamic models for the assessment of CSOs can cause unacceptably long computation times. Using only a series of storm events instead of a precipitation continuum can reduce this time and enables parallel simulation of single storm events. We introduce a method to select this series of storm events. The method's parameters have been optimized to replicate the overflow volume of the continuous simulation and to minimize the overall computation time. This optimization revealed a generally applicable parameter set that results in series of storm events that are shorter than the precipitation continuum by 86.2-95.2% for the investigated cases. Additionally, the deviation of overflow volume between continuous simulation and series simulation ranges between only 0.1% and 4.1%.
机译:可以使用流体力学模型对组合式下水道系统进行水力验证以及对组合式下水道溢流(CSO)进行评估。不幸的是,使用流体动力学模型进行长期模拟以评估CSO可能导致计算时间过长。仅使用一系列风暴事件而不是降水连续体可以减少此时间,并且可以对单个风暴事件进行并行模拟。我们介绍一种选择这一系列风暴事件的方法。该方法的参数已经过优化,可以复制连续仿真的溢出量并最大程度地减少总体计算时间。此优化揭示了一个普遍适用的参数集,该参数集导致一系列暴风雨事件,对于所调查的案例,这些暴风雨事件比连续降雨短86.2-95.2%。此外,连续模拟和系列模拟之间的溢出量偏差范围仅为0.1%至4.1%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号