Thelen Thomas, Anarde Katherine, Dietrich Joel Casey, Hino Miyuki
Department of Civil, Construction, and Environmental Engineering, North Carolina State University, 915 Partners Way, Raleigh, NC, USA.
Department of City and Regional Planning, University of North Carolina at Chapel Hill, 223 E Cameron Avenue, Chapel Hill, NC, USA; Environment, Ecology, and Energy Program, University of North Carolina at Chapel Hill, 121 South Road, Chapel Hill, NC, USA.
Water Res. 2024 Nov 15;266:122339. doi: 10.1016/j.watres.2024.122339. Epub 2024 Aug 28.
With sea-level rise, flooding in coastal communities is now common during the highest high tides. Floods also occur at normal tidal levels when rainfall overcomes stormwater infrastructure that is partially submerged by tides. Data describing this type of compound flooding is scarce and, therefore, it is unclear how often these floods occur and the extent to which non-tidal factors contribute to flooding. We combine measurements of flooding on roads and within storm drains with a numerical model to examine processes that contribute to flooding in Carolina Beach, NC, USA - a community that chronically floods outside of extreme storms despite flood mitigation infrastructure to combat tidal flooding. Of the 43 non-storm floods we measured during a year-long study period, one-third were unexpected based on the tidal threshold used by the community for flood monitoring. We introduce a novel model coupling between an ocean-scale hydrodynamic model (ADCIRC) and a community-scale surface water and pipe flow model (3Di) to quantify contributions from multiple flood drivers. Accounting for the compounding effects of tides, wind, and rain increases flood water levels by up to 0.4 m compared to simulations that include only tides. Setup from sustained (non-storm) regional winds causes deeper, longer, more extensive flooding during the highest high tides and can cause floods on days when flooding would not have occurred due to tides alone. Rainfall also contributes to unexpected floods; because tides submerge stormwater outfalls on a daily basis, even minor rainstorms lead to flooding as runoff has nowhere to drain. As a particularly low-lying coastal community, Carolina Beach provides a glimpse into future challenges that coastal communities worldwide will face in predicting, preparing for, and adapting to increasingly frequent flooding from compounding tidal and non-tidal drivers atop sea-level rise.
随着海平面上升,沿海社区在最高潮位时发生洪灾如今已很常见。当降雨超过部分被潮水淹没的雨水基础设施的排水能力时,在正常潮位时也会发生洪水。描述这种复合型洪水的数据很稀少,因此尚不清楚这些洪水多久发生一次,以及非潮汐因素对洪水的影响程度。我们将道路和雨水排水管道内的洪水测量数据与一个数值模型相结合,以研究导致美国北卡罗来纳州卡罗来纳海滩发生洪水的过程。尽管有防洪基础设施来抵御潮汐洪水,但该社区在极端风暴之外仍经常遭受洪水。在为期一年的研究期间,我们测量的43次非风暴洪水事件中,有三分之一是基于该社区用于洪水监测的潮汐阈值所无法预测到的。我们引入了一种新的模型耦合方法,将海洋尺度的水动力模型(ADCIRC)与社区尺度的地表水和管道水流模型(3Di)相结合,以量化多种洪水驱动因素的贡献。与仅考虑潮汐的模拟相比,考虑潮汐、风和降雨的复合效应会使洪水水位升高多达0.4米。持续(非风暴)的区域风所形成的水流形态,在最高潮位时会导致更深、持续时间更长、范围更广的洪水,并且在仅由潮汐不会引发洪水的日子里也可能引发洪水。降雨也会导致意外洪水;由于潮汐每天都会淹没雨水排放口,即使是小暴雨也会导致洪水,因为径流无处排放。作为一个地势特别低洼的沿海社区,卡罗来纳海滩让我们得以一窥全球沿海社区在预测、防范和适应海平面上升背景下,由潮汐和非潮汐驱动因素共同作用导致的日益频繁的洪水时所面临的未来挑战。