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Berms, Floodwalls, and Dunes - How High? Considering sea-level rise in coastal projects

机译:巴塞尔斯,洪水墙和沙丘 - 有多高?考虑沿海项目中的海平面上升

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Sea-level rise (SLR) is a hazard multiplier already impacting coastal communities and ecosystems across all sectors including transportation, utilities, health, community planning, emergency management, and natural resource management [1]. Fortunately, our ability to understand future conditions and how they may exacerbate hazards has been rapidly increasing (e.g., [1]–[5]). Unfortunately, this rapid advancement in the science has led to gaps among the generation, access, and application of information for coastal decision-making [6]–[8]. Coastal professionals including engineers, environmental consultants, floodplain managers, and natural resource stewards are often challenged when it comes to integrating SLR into planning and project design [6], [7], [9], [9]–[11]. The professional community lacks transparent, repeatable, science-based approaches for determining how much SLR to consider that also specifically integrate the community’s values. Further, related data and data products such as where to find locally relevant projections of future conditions and impacts remain woefully underutilized [7], [8]. This presentation will review the availability of locally-relevant SLR projections, a risk-based framework for how to narrow the available projections to a planning range, and how that information can be translated into relevant information about future conditions. The presentation will also demonstrate how the selected amount of RSLR for a project can be translated into relevant information about future conditions that could potentially impact the project. This includes how to assess future areas regularly inundated by high tide, frequency of high tide flooding in the future, and projections of future storm surge. Finally, examples from projects in Jackson County, MS and Dauphin Island, AL will be used to demonstrate how RSLR can be integrated into projects across timelines while considering adaptability and scale. At the conclusion of this presentation, attendees will understand how to find and integrate RSLR projections to enhance coastal resilience for more robust communities and ecosystems.
机译:海平面上升(SLR)是一家危险乘法器,已经影响了各个部门的沿海社区和生态系统,包括运输,公用事业,健康,社区规划,应急管理和自然资源管理[1]。幸运的是,我们理解未来条件以及它们如何加剧危害的能力已经迅速增加(例如,[1] - [5])。不幸的是,科学的这种快速进步导致了沿海决策的信息,访问和应用中的差距[6] - [8]。沿海专业人士包括工程师,环境顾问,洪泛党管理人员和自然资源管家往往是在将SLR转化为规划和项目设计[6],[7],[9],[9] - [9] - [9] - [9]专业社区缺乏透明,可重复,科学的方法,以确定要考虑的单反相机的单反相结合的单反相机的价值观。此外,相关数据和数据产品,例如寻找未来条件和影响的当地相关预测的位置仍然有利地未充分利用[7],[8]。此演示文稿将审查本地相关的SLR投影的可用性,这是一种基于风险的框架,了解如何将可用预测缩小到规划范围,以及如何将信息转换为有关未来条件的相关信息。演示还将展示项目的所选数量的RSLR如何转化为有关可能影响项目可能影响的未来条件的相关信息。这包括如何评估未来的未来地区,经常通过高潮,未来潮汐洪水的频率,以及未来风暴涌涌的预测。最后,在杰克逊县,MS和多芬岛项目为例,AL将被用来演示如何RSLR可以跨越时间线,同时考虑适应性和规模被整合到项目。在本演示文稿结束时,与会者将理解如何查找和整合RSLR预测,以提高沿海恢复力,以便更强大的社区和生态系统。

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