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A Rapid Assessment Method to Identify Potential Groundwater Flooding Hotspots as Sea Levels Rise in Coastal Cities

机译:一种快速评估方法,以识别潜在地下水洪水热点,海水位沿海城市上升

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摘要

Sea level rise (SLR) will cause shallow unconfined coastal aquifers to rise. Rising groundwater can emerge as surface flooding and impact buried infrastructure, soil behavior, human health, and nearshore ecosystems. Higher groundwater can also reduce infiltration rates for stormwater, adding to surface flooding problems. Levees and seawalls may not prevent these impacts. Pumping may accelerate land subsidence rates, thereby exacerbating flooding problems associated with SLR. Public agencies at all jurisdiction levels will need information regarding where groundwater impacts are likely to occur for development and infrastructure planning, as extreme precipitation events combine with SLR to drive more frequent flooding. We used empirical depth-to-water data and a digital elevation model of the San Francisco Bay Area to construct an interpolated surface of estimated minimum depth-to-water for 489 square kilometers along the San Francisco Bay shoreline. This rapid assessment approach identified key locations where more rigorous data collection and dynamic modeling is needed to identify risks and prevent impacts to health, buildings, and infrastructure, and develop adaptation strategies for SLR.
机译:海平面上升(SLR)将导致浅不合适的沿海含水层上升。崛起的地下水可以作为地表洪水和影响埋地基础设施,土壤行为,人类健康和近岸生态系统。较高的地下水也可以降低雨水的渗透率,增加表面洪水问题。堤坝和海堤可能无法阻止这些影响。泵送可能加速土地沉降速率,从而加剧与单反相比的洪水问题。所有司法管辖区的公共机构都需要有关地下水影响可能发生地下水的影响,因为极端降水事件与SLR相结合,以推动更频繁的洪水。我们使用了旧金山湾区域的经验深度到水数据和旧金山湾地区的数字高度模型,将估计最小深度水平的内插表面沿旧金山海湾海岸线沿489平方公里。此快速评估方法确定需要更严格的数据收集和动态建模的关键位置,以确定风险,并防止对健康,建筑物和基础设施的影响,以及为单反的适应策略。

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