ABSTRACT

Cities increasingly face challenging regulatory requirements for their aging sewer systems. Population density and can contribute to changes in impervious cover that limit infiltration, expedite the rate of water drainage, and overwhelm the conveyance system. This work presents a method for applying high-spatial resolution population-based scenarios to pre-existing stormwater models. We explore the impact of two long-term population growth scenarios for the Pittsburgh region. We find that an extreme 79% growth in population results in 24% increase in impervious area and an 11% increase in total overflows. In contrast, a moderate 15% rise in population yields an 8% increase in impervious area and a corresponding 5% increase in overflows. As the relationship between population growth, impervious area, and total sewer overflow is non-linear, it is of critical importance to understand neighborhood-level changes. Our work fills a critical scalar gap for adding robustness analysis to these projections.

摘要

城市日益老化的下水道系统面临具有挑战性的法规要求。人口密度，可能会导致不透水的变化，从而限制渗透，加快排水速度并淹没输送系统。这项工作提出了一种将基于高空间分辨率人口的情景应用于现有雨水模型的方法。我们探讨了匹兹堡地区两种长期人口增长方案的影响。我们发现，人口的极端增长79％导致不透水面积增加24％，总溢流增加11％。相反，人口的适度增加15％将使不透水面积增加8％​​，相应的溢流则增加5％。由于人口增长，不透水面积和下水道总溢出量之间的关系是非线性的，了解社区水平的变化至关重要。我们的工作填补了关键的标量缺口，为这些预测增加了鲁棒性分析。