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首页> 外文会议>Pipeline Division Specialty Conference; 20050821-24; Houston,TX(US) >INTERPRETING STORM FLOW DATA TO DETERMINE TYPES OF INFILTRATION AND INFLOW
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INTERPRETING STORM FLOW DATA TO DETERMINE TYPES OF INFILTRATION AND INFLOW

机译：解释风暴流数据以确定渗透和流入的类型

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摘要

As the nation's sanitary sewer infrastructure continues to deteriorate, and as millions of miles of collector pipes and laterals continue to leak clean water which leads to sanitary sewer overflows, it becomes more and more important to quickly and cost-effectively determine these sources of leakage. There are a number of investigative methods that engineers, owners, and contractors have traditionally employed to determine sources of infiltration and inflow (I/I). These include smoke-testing, dye-testing, infiltration weiring, and basement inspections, just to name a few. These methods are labor-intensive and can be very costly. In addition, the methods have very specific application and, with the number of investigative methods available, it is difficult to select the appropriate method for a situation. But what if one could take flow meter data and use it to characterize the types of I/I entering the system? What if the investigative method could be chosen without having to go through a "trial-and-error process"? Malcolm Pirnie has developed a field-verified and repeatable procedure in which the sources of I/I can be determined by examining flow meter data collected during wet-weather events. This paper outlines those initial steps that are necessary to collect valid and true flow data, discusses how different sources of I/I are exhibited during wet-weather events, how these sources can be identified from flow meter data, and how to determine the appropriate investigative method to use once the types of I/I sources have been determined. The paper also includes real-life examples and success stories that will be used to support the procedures.
机译：随着国家卫生排污基础设施的不断恶化，以及数百万英里的集水管和支管继续泄漏清洁水而导致卫生排污口溢出，迅速而经济有效地确定这些泄漏源变得越来越重要。工程师，所有者和承包商传统上采用了许多调查方法来确定渗透和流入（I / I）的来源。这些包括烟雾测试，染料测试，渗透堰和地下室检查，仅举几例。这些方法是劳动密集型的并且可能非常昂贵。另外，这些方法具有非常特殊的应用，并且随着可用的调查方法的数量增加，很难为情况选择合适的方法。但是，如果可以获取流量计数据并将其用于表征进入系统的I / I类型怎么办？如果可以选择调查方法而不必经过“试错过程”怎么办？马尔科姆·皮尔尼（Malcolm Pirnie）已开发出一种经过现场验证的可重复程序，可通过检查在潮湿天气事件中收集的流量计数据来确定I / I的来源。本文概述了收集有效和真实流量数据所必需的初始步骤，讨论了在潮湿天气事件中如何显示不同的I / I源，如何从流量计数据中识别这些源以及如何确定合适的I / I源。确定I / I来源类型后使用的调查方法。本文还包括将用于支持程序的现实示例和成功案例。

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