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Sea-level rise and potential drowning of the Italian coastal plains: Flooding risk scenarios for 2100

机译:意大利沿海平原的海平面上升和潜在淹没:2100年的洪水风险情景

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摘要

We depict the relative sea-level rise scenarios for the year 2100 from four areas of the Italian peninsula. Our estimates are based on the Rahmstorf (2007) and IPCC-AR5 reports 2013 for the RCP-8.5 scenarios (www.ipcc.ch) of climate change, adjusted for the rates of vertical land movements (isostasy and tectonics). These latter are inferred from the elevation of MIS 5.5 deposits and from late Holocene sea-level indicators, matched against sea-level predictions for the same periods using the glacio-hydro-isostatic model of Lambeck et al. (2011). We focus on a variety of tectonic settings: the subsiding North Adriatic coast (including the Venice lagoon), two tectonically stable Sardinia coastal plains (Oristano and Cagliari), and the slightly uplifting Taranto coastal plain, in Apulia. Maps of flooding scenarios are shown on high-resolution Digital Terrain Models mostly based on Lidar data. The expected relative sea-level rise by 2100 will change dramatically the present-day morphology, potentially flooding up to about 5500 km2 of coastal plains at elevations close to present-day sea level. The subsequent loss of land will impact the environment and local infrastructures, suggesting land planners and decision makers to take into account these scenarios for a cognizant coastal management. Our method developed for the Italian coast can be applied worldwide in other coastal areas expected to be affected by marine ingression due to global climate change.
机译:我们描绘了意大利半岛四个地区2100年的相对海平面上升情景。我们的估算基于Rahmstorf(2007)和IPCC-AR5 2013年针对气候变化的RCP-8.5情景(www.ipcc.ch)的报告,并针对垂直陆地运动(等静和构造)速率进行了调整。后者是根据MIS 5.5沉积物的升高和全新世晚期海平面指标推断出来的,并与Lambeck等人的冰川-水等静压模型对同期的海平面预测相匹配。 (2011)。我们关注各种构造环境:沉降的北亚得里亚海海岸(包括威尼斯泻湖),两个构造稳定的撒丁岛沿海平原(奥里斯塔诺和卡利亚里),以及普利亚的略微隆起的塔兰托沿海平原。在高分辨率数字地形模型上主要基于激光雷达数据显示了洪水场景图。到2100年,预期的相对海平面上升将大大改变当今的形态,并可能在接近当今海平面的高处淹没约5500平方公里的沿海平原。随后的土地流失将影响环境和当地基础设施,建议土地规划师和决策者考虑这些情况以进行有意识的沿海管理。我们为意大利海岸开发的方法可在全球范围内应用于预计因全球气候变化而受到海洋入侵影响的其他沿海地区。

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