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INTERPRETING STORM FLOW DATA TO DETERMINE TYPES OF INFILTRATION AND INFLOW

机译:解释风暴流量数据以确定渗透和流入的类型

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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:由于国家的卫生下水道基础设施继续恶化,并且占集电管管道和横梁的数英里继续泄漏清洁水,导致卫生下水道溢出,它变得越来越重要,可以快速和成本有效地确定这些泄漏来源。传统上使用工程师,业主和承包商有许多调查方法,以确定渗透和流入(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,只是为了命名几个。这些方法是劳动密集型的,并且可以非常昂贵。此外,该方法具有非常具体的应用,并且随着可用的调查方法的数量,很难选择适当的情况。但是如果可以采用流量计数据并使用它来表征I / I进入系统的类型,那么怎么样?如果可以选择调查方法,而不必经过“试验和错误过程”,该怎么办? Malcolm PiRnie开发了一种现场验证和可重复的程序,其中可以通过检查在湿天气事件期间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需的初步步骤,讨论了在潮湿的天气事件期间展出的不同来源,如何从流量计数据识别这些来源,以及如何确定适当的一旦确定了I / I来源的类型,使用调查方法。本文还包括现实生活中的例子和成功的故事,用于支持程序。

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