Decision Support for Urban Water Management - Enhanced Technology Design, Modelling and Optimization Approaches for Collection Systems

由于城市地区的发展、气候变化和基础设施老化，对城市排水系统的要求不断增加，人们越来越多地寻求分散式解决方案。然而，多年来从大量现有基础设施中汲取的经验教训以及设计改进和改造方案的机会经常被忽视。此外，建模工具未能跟上技术进步的步伐，包括不断增加的全系统监测和控制选项——“智能水系统”。拟议的研究将通过优化怡陶碧谷渗滤系统的设计来解决其中一些问题，该技术是通过过去的监测发现的，通过结合物理和数值建模并集成到现有的雨水建模工具中，具有更好性能的潜力。将开发低成本、广泛监测下水道系统的技术，以及利用大量增加的系统性能测量数据来连续识别和量化有害外来流量的分析工具。将开发对雨水管理模型的必要修改，以评估分布式监测和控制以及优化方法，从而制定智能雨水系统的设计指南。这项研究的成果旨在解决目前城市排水建模和优化方法中存在的一些关键差距。

As demands placed upon urban drainage systems continue to increase due to growth in urban areas, climate change and aging infrastructure, decentralized solutions are increasingly sought. However, the lessons learned over the years of the large stock of existing infrastructure, and opportunities for their design improvements and retrofit options are frequently overlooked. In addition, the modelling tools have not kept pace with technological advancements, including the increasing options for systemwide monitoring and control - the `smart water systems'. The proposed research will address some of these issues by optimizing the design of the Etobicoke Exfiltration System, a technology identified through past monitoring to present a potential for better performance, using a combination of physical and numerical modelling and integration into existing stormwater modelling tool. Techniques for low-cost, widespread monitoring of sewer systems will be developed, along with analytical tools that take advantage of vastly increased volume of measurements of system performance in continuous identification and quantification of detrimental extraneous flows. Necessary modifications to stormwater management models will be developed to allow evaluation of distributed monitoring and control, along with optimization methodologies, leading to the development of design guidance for smart stormwater systems. The outputs of this research are meant to address some of the key gaps perceived to currently exist in the methodologies for urban drainage modelling and optimization.