An Adaptive Leak Detection and Risk Analysis Framework for Urban Water Distribution Systems

该项目的主要目标是了解如何使用压力、流量和水质数据的常规测量来确定城市供水系统的泄漏和污染物入侵的特征，并说明如何使用这些信息来帮助对这些系统进行风险评估。将在高性能计算支持的自适应模拟方法和优化算法方面进行研究，以开发利用实时压力、流量和水质数据的泄漏检测和污染物入侵表征的量化框架。此外，这一框架将纳入空间变化的宏观指标和需求不确定性的新方法。这项研究还将提供风险分析能力，以分析与日常操作期间逐渐泄漏和污染物入侵相关的经济和公共卫生风险。这一量化的原型框架设想供决策者使用，以生成和确定业务战略以及制定长期维护和扩展计划。此外，它还将使决策者能够评估不同应对、改造和维护行动的风险降低潜力。与北卡罗来纳州的一家主要自来水公司合作，将应用这一量化原型框架，并使用来自中型城市地区的数据进行验证。如果成功，该项目将在真实环境中解决国家关键基础设施安全优先事项之一，并有助于开发通过利用高端计算资源的力量实现的自适应模拟方法和优化算法。通过这一研究项目制定和实施的计算框架将为使用新兴的自动数据收集系统进行实时供水基础设施状况评估奠定基础。研究方法和工具还将通过网上可访问的界面提供，用于教学和外联目的。

The primary goal of this project is to understand how routine measurements of pressure, flow and water quality data could be used to characterize leaks and contaminant intrusion in urban water distribution systems and illustrate how this information could be used to aid in the risk assessment of these systems. Research will be conducted in adaptive simulation methods and optimization algorithms enabled by high performance computing to develop a quantitative framework for leak detection and contaminant intrusion characterization that utilizes real time pressure, flow, and water quality data. In addition, this framework will integrate new methodologies for incorporating spatially varying macro indicators and demand uncertainty. The research will also provide a risk analysis capability for analyzing economic and public health risks associated with gradual leaks and contaminant intrusion during routine operations. This quantitative prototype framework is envisioned for use by decision-makers to generate and identify operational strategies as well as to develop long-term maintenance and expansion plans. In addition, it will enable decision-makers to evaluate the risk reduction potential of different response, retrofit and maintenance actions. In collaboration with a major water utility in North Carolina, this quantitative prototype framework will be applied and validated using data from a mid-sized urban area. If successful, this project will address one of the nation's critical infrastructure security priorities in a real setting and contribute to the development of adaptive simulation methods and optimization algorithms that are enabled by harnessing the power of high-end computing resources. The computational framework that is formulated and implemented through this research project will set the stage for using emerging automated data collection systems for real time water distribution infrastructure condition assessment. The research methods and tools will also be made available via web-accessible interfaces for instructional and outreach purposes.