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Accuracy of Real-Time Distribution System Models for Predicting Field Scale Tracer and Chlorine Transport AWWA Water Quality Technology Conference

机译:用于预测水垢示踪剂和氯迁移的实时分配系统模型的准确性AWWA水质技术会议

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The Greater Cincinnati Water Works (GCWW) has been pushing the limits of distribution systemrnhydraulic and water quality monitoring and modeling over the past decade. Recent work hasrnincluded the development of a complex all-pipes distribution system model, hydraulic andrnwater quality model calibration activities, and on-line water quality monitoring at facilitiesrnthroughout the service area.rnOne practical problem has, however, plagued network water quality models ever since theirrndevelopment more than 20 years ago. Unlike hydraulic models, which can usefully representrncritical or average steady-state network conditions for master planning, water quality modelsrnare inherently dynamic, because quality evolves in response to hourly scale operationalrndecisions and consumer demands. As a result, water quality models have been developed andrncalibrated to particular time ranges, say several weeks, during which field data are collected.rnThe “calibrated” water quality network models are rarely verified during different operationalrnperiods, and their use for predictions — during different seasons, or as a result of differentrnoperational protocols — has been limited.rnOver the past year, GCWW has invested in modeling and software technology to leveragernprevious work on network models, and explicitly link the model inputs to SCADA data streams.rnThese “real-time” network models promise to circumvent the problems summarized above,rnwhereby network water quality models are restricted to the data and conditions used torndevelop them. By providing a direct, persistent, and fully automated connection to SCADA datarnstreams, the GCWW real-time models are continually updated to reflect changes in waterrndemand and actual operational practices. Such models, with proper software, can be used to provide predictions of both historic and current conditions, without the additional manual workrnrequired to import and “clean” SCADA data streams, calculate demands using spreadsheets,rnand manually convert the operational record into operational controls.rnThe current status of the GCWW real-time modeling project is that software has beenrnconfigured for the current distribution system infrastructure and SCADA data streams. Thisrnsoftware is currently undergoing an evaluation for hydraulic model accuracy, by comparingrnhistorical SCADA data to associated modeled values, over significant time periods. The next steprnis to leverage the real-time hydraulic model to provide automated predictions of tracerrnmovement for field tracer tests conducted at six different distribution system locations duringrnSpring 2014, and also to simulate chlorine residual for comparison to measured values at onlinernmonitors in the distribution system. These comparisons will provide a crucial benchmark as tornthe accuracy of real-time model predictions using current technology. We describe the keyrnsetup and configuration steps of the real-time model below, and will report objectively on thernaccuracy metrics from hydraulic and water quality comparisons, at the WQTC presentation.
机译:在过去的十年中,大辛辛那提水厂(GCWW)一直在限制配水系统的液压和水质监测与建模。最近的工作包括开发复杂的全管道分配系统模型,水力和水质模型校准活动以及在整个服务区域内对设施进行在线水质监测。然而,自从其开发以来,一个实际问题一直困扰着网络水质模型。二十多年前与水力模型可以有效地代表总体规划的临界或平均稳态网络条件不同,水质模型固有地是动态的,因为水质模型是根据小时规模的操作决策和消费者需求而变化的。结果,已经开发出水质模型并将其校准到特定的时间范围(例如几周),在此期间收集现场数据。rn很少在不同的运营时期内验证“校准的”水质网络模型,并将其用于预测(在不同的时期)季节或由于不同的操作协议而受到限制。在过去的一年中,GCWW已投资于建模和软件技术,以利用先前在网络模型上的工作,并将模型输入明确链接到SCADA数据流。网络模型有望避免上述问题,因此网络水质模型仅限于用于开发它们的数据和条件。通过提供与SCADA数据流的直接,持久和全自动连接,GCWW实时模型将不断更新,以反映水需求和实际操作实践的变化。这样的模型,加上适当的软件,可用于提供历史和当前状况的预测,而无需导入和“清理” SCADA数据流,使用电子表格计算需求,以及将操作记录手动转换为操作控制所需的额外手动工作。 rn GCWW实时建模项目的当前状态是已经为当前的分发系统基础结构和SCADA数据流配置了软件。目前,该软件正在通过比较历史SCADA数据与关联的建模值在相当长的时间段内对水力模型的准确性进行评估。下一个Steprnis将利用实时液压模型为2014年春季在六个不同配电系统位置进行的现场示踪剂测试提供示踪运动的自动预测,并模拟氯残留量,以便与配电系统中在线监测器的测量值进行比较。这些比较将为使用当前技术撕毁实时模型预测的准确性提供至关重要的基准。我们在下面描述了实时模型的关键设置和配置步骤,并将在WQTC演讲中客观地报告来自水力和水质比较的精度指标。

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