Key drivers of vulnerability to rainfall flooding in New Orleans

IF 3.3 Q2 ENVIRONMENTAL SCIENCES Frontiers in Climate Pub Date : 2024-06-12 DOI:10.3389/fclim.2024.1303951
Patrick Bodilly Kane, Nastaran Tebyanian, Daniel Gilles, Brett McMann, J. Fischbach
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Abstract

Future urban stormwater flood risk is determined by the confluence of both climate-driven changes in precipitation patterns and the effectiveness of flood mitigation systems, such as urban drainage and pump systems. This is especially true in coastal cities protected by levee systems like New Orleans, where even present-day rainfall would be enough to cause serious flooding in the absence of extensive stormwater drainage and pumping. However, while the uncertainties associated with climate change have been well studied, uncertainties in infrastructure performance and operation have received less attention.We investigated how these interrelated sets of uncertainties drive flood risk in New Orleans using a Robust Decision Making (RDM) approach. RDM is a framework for Decision Making Under Deep Uncertainty (DMDU) that leverages simulation models to facilitate exploration across many possible futures and the identification of decision-relevant scenarios. For our work, we leveraged a detailed Storm Water Management Model (SWMM) representation of the New Orleans urban stormwater management system to examine flood depths across the city when faced with different levels of future precipitation, sea-level rise, drainage pipe obstruction, and pumping system failure. We also estimated direct flood damage for each neighborhood in the city for this scenario ensemble. These damage estimates were then subjected to vulnerability analysis using scenario discovery—a technique designed to determine which combinations of uncertainties are most stressful to the system in terms of an outcome of interest (excess flood damage).Our results suggest that key drivers of vulnerability depend on geographic scale. Specifically, we find that possible climate-driven precipitation increases are the most important determinant of vulnerability at the citywide level. However, for some individual neighborhoods, infrastructure operation challenges under present day conditions are a more significant driver of vulnerability than possible climate-driven precipitation increases.
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新奥尔良易受降雨洪水影响的主要原因
未来城市暴雨洪水风险取决于气候驱动的降水模式变化以及城市排水和水泵系统等防洪减灾系统的有效性。在像新奥尔良这样有堤坝系统保护的沿海城市尤其如此,如果没有大量的雨水排水和抽水系统,即使是现在的降雨量也足以造成严重的洪涝灾害。然而,虽然与气候变化相关的不确定性已得到充分研究,但基础设施性能和运行方面的不确定性却较少受到关注。我们采用鲁棒决策(RDM)方法,研究了这些相互关联的不确定性如何驱动新奥尔良的洪水风险。RDM 是一种深度不确定性下的决策制定(DMDU)框架,它利用模拟模型促进对多种可能未来的探索,并确定与决策相关的情景。在我们的工作中,我们利用新奥尔良城市雨水管理系统的详细雨水管理模型 (SWMM),研究了未来不同降水量、海平面上升、排水管道阻塞和抽水系统故障时整个城市的洪水深度。我们还估算了在这种情景组合下城市中每个社区的直接洪水损失。然后,我们利用 "情景发现 "技术对这些损失估计进行了脆弱性分析。"情景发现 "技术旨在确定哪些不确定性组合对系统的相关结果(超额洪水损失)压力最大。我们的结果表明,脆弱性的主要驱动因素取决于地理尺度。具体而言,我们发现,在全市范围内,气候可能导致的降水量增加是脆弱性的最重要决定因素。然而,对于某些街区来说,在当今条件下基础设施运行所面临的挑战比气候导致的降水量增加更能显著地影响其脆弱性。
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来源期刊
Frontiers in Climate
Frontiers in Climate Environmental Science-Environmental Science (miscellaneous)
CiteScore
4.50
自引率
0.00%
发文量
233
审稿时长
15 weeks
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