North America’s infrastructure, in general, and stormwater system, as a crucial component of our urban infrastructure, are in dire condition states that require attention and, in some cases, urgent intervention. According to the American Society of Civil Engineering (ASCE), the stormwater system received a condition state “D+”. Even though existing management systems for storm pipes optimize the timing of maintenance and replacement aiming at improving the overall storm pipes’ network condition, they ignored the effect of urban growth and climate change (i.e. intense and frequent rainfall cause flooding) on the pipes’ deterioration. Thus, this paper presents a scheduling decision-making framework that opts at optimizing the pipes’ replacement decisions to increase their resiliency while considering the annual expenditures, urban growth and its’ future impact on the demand. To demonstrate the system’s functionality, it was deployed on the storm pipes of Kindersley in Saskatchewan, Canada. The results showed that $300,000 a year was enough to meet the city’s condition and flow demand–capacity goals, enhance their average condition from 33% to 63% and drop the flow demand–capacity to 64%. Furthermore, replacements’ breakdown analysis indicated that longer analysis periods enhance the system’s capability in capturing the long-term impact of the decisions.

总体而言，北美基础设施和雨水系统是我们城市基础设施的重要组成部分，处于处境严峻的状态，需要引起关注，在某些情况下还需要紧急干预。根据美国土木工程学会（ASCE）的数据，雨水系统的状态为“ D +”。尽管现有的雨水管管理系统为改善雨水管的整体网络状况而优化了维护和更换的时间，但他们忽略了城市增长和气候变化（即强降雨和频繁降雨导致洪水）对水管恶化的影响。因此，本文提出了一个调度决策框架，该框架在考虑年度支出的同时，优化了管道的更换决策，以提高其弹性。城市增长及其对需求的未来影响。为了演示该系统的功能，已将其部署在加拿大萨斯喀彻温省Kindersley的暴风雨管道上。结果表明，每年30万美元足以满足该市的条件和流量需求-容量目标，将其平均状况从33％提高到63％，并将流量需求-容量降至64％。此外，更换人员的故障分析表明，更长的分析时间可以增强系统捕获决策的长期影响的能力。将他们的平均状况从33％提高到63％，并将流量需求能力降低到64％。此外，更换人员的故障分析表明，更长的分析时间可以增强系统捕获决策的长期影响的能力。将他们的平均状况从33％提高到63％，并将流量需求能力降低到64％。此外，更换人员的故障分析表明，更长的分析时间可以增强系统捕获决策的长期影响的能力。