城市排水基础设施设计时间集中方法的比较研究

Osheen Mehta, M. Kansal, Deepak Singh Bisht
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引用次数: 2

摘要

浓度时间(ToC)是城市排水系统(UDS)设计和评价中降雨径流模拟的重要参数。文献中有几种集总和分布的方法可用于估计ToC。然而,这些方法得到的结果差异很大。因此,选择一种合适的、最适合的ToC估算方法势在必行。本研究分析了印度德里国家首都地区(NCR)卫星城Gurugram市区ToC估算的8种基于集总方法和2种基于分布式方法的方法。将自然资源保护局(Natural Resource Conservation Service, NRCS)方法得到的ToC值作为“真”值,集总方法中的Carter法和分布方法中的SWDM法得到的ToC值与NRCS方法一致。此外,为了研究ToC低估或高估对排水的影响,从不同ToC值的洪水量、持续时间、峰值流量和峰值时间的变化来评估系统。通过在SWMM中设置模型进行模拟,发现当ToC从0.1 h增加到6.14 h时,洪水量增加了4.25倍,持续时间增加了7.25倍。结果表明,ToC估算方法对城市排水基础设施的设计和性能有显著影响。
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A comparative study of the time of concentration methods for designing urban drainage infrastructure
The time of concentration (ToC) is an important parameter in rainfall−runoff simulation for designing and evaluating an urban drainage system (UDS). There are several lumped and distributed methods available in the literature for estimating the ToC. However, these methods lead to significantly varied values. Therefore, it is imperative to choose an appropriate and best-suited method for estimating the ToC. This study analyses eight lumped approach-based and two distributed approach-based methods for estimating the ToC in an urban area of Gurugram, a satellite city in the National Capital Region (NCR) of Delhi in India. Considering the ToC obtained by the Natural Resource Conservation Service (NRCS) method as the ‘true’ value, the Carter method among lumped methods and the SWDM method between the distributed methods results in ToC values in agreement with the NRCS method. Furthermore, to study the impact of the underestimation or overestimation of ToC on drainage, the system is evaluated in terms of variation in flood volume, duration, peak discharge, and the time to peak for different ToC values. The simulations were carried out by setting the model in SWMM, and it was found that flood volume increases by 4.25 times and the duration increases by 7.25 times if the ToC is increased from 0.1 to 6.14 h. The results infer that ToC estimation methods significantly impact the design and performance of an urban drainage infrastructure.
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