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A generic index to assess the building exposure to shoreline retreat using box segmentation: Case study of the Pays de la Loire sandy coast (west of France)

机译:使用盒分割法评估建筑物在海岸线上撤退的一般指标:卢瓦尔河沿岸地区(法国西部)的案例研究

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摘要

Coastal zones are exposed to natural hazards in the context of global change and the concentration of human activities, which justifies the interest in assessing at-risk territories. This paper proposes a reproducible method to identify the erosion risk territories on the basis of an exposure index creation. An assessment of the building exposure to shoreline retreat is conducted along 350 km of the Atlantic French coast (Pays de la Loire regional administrative division) including rocky coasts, coastal barriers and sand spits, estuaries, bays, and coasts with protection structures. The segmentation of a 100-m landward strip is carried out with 30*100 m boxes. Three geoindicators are computed within each box: (i) the shortest shoreline-building distance (ii) the building footprint of the first row (iii) the coastal erosion along sandy coasts. The aggregation of these geoindicators within each box leads to the creation of an exposure index. Thus, this spatial framework provides a reproducible method to improve the synthetic knowledge of the erosion risk in the Pays de la Loire Region. The whole of the risk situation is detected at 1/5000 scale, which is original and significant progress. The accuracy of this study is due to the generic data used and the 30*100 m segmentation. This spatial resolution leads to finer results than previous studies. This new method can detect all the exposures in order to anticipate crises management through the deployment of a real operational alert system. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在全球变化和人类活动集中的背景下,沿海地区暴露于自然灾害之下,这证明了对评估高风险领土的兴趣。本文提出了一种可重现的方法,可以基于暴露指数的创建来识别侵蚀风险区域。在大西洋法国海岸(Pays de la Loire区域行政区划)的350公里处,对建筑物的海岸线静修处进行评估,包括岩石海岸,沿海屏障和沙嘴,河口,海湾和带有防护结构的海岸。用30 * 100 m的盒子对100 m的陆上带进行分割。每个方框内计算了三个地球指示符:(i)最短的海岸线建立距离(ii)第一行的建筑物占地面积(iii)沿沙质海岸的海岸侵蚀。这些地理指示符在每个框中的聚集导致创建暴露指数。因此,该空间框架提供了可重复使用的方法,以提高卢瓦尔河地区侵蚀风险的综合知识。整个风险情况以1/5000的比例进行检测,这是原始且重大的进展。这项研究的准确性归因于所使用的通用数据和30 * 100 m的分割。与以前的研究相比,这种空间分辨率可获得更好的结果。这种新方法可以检测所有暴露情况,以便通过部署实际的操作警报系统来预期危机管理。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Ocean & coastal management》 |2017年第11期|40-52|共13页
  • 作者单位

    Univ Nantes, Lab LETG Nantes Geolittomer, UMR CNRS 6554, Campus Tertre,BP 81227, F-44312 Nantes 3, France;

    Univ Nantes, Lab LETG Nantes Geolittomer, UMR CNRS 6554, Campus Tertre,BP 81227, F-44312 Nantes 3, France;

    Univ Nantes, Lab LETG Nantes Geolittomer, UMR CNRS 6554, Campus Tertre,BP 81227, F-44312 Nantes 3, France;

    Univ Nantes, Lab LETG Nantes Geolittomer, UMR CNRS 6554, Campus Tertre,BP 81227, F-44312 Nantes 3, France;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Coastal erosion; Building; Exposure index; At-risk territory;

    机译:海岸侵蚀;建筑;暴露指数;高风险地区;
  • 入库时间 2022-08-18 03:40:33

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