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Coastal flood risks in China through the 21st century - An application of DIVA

机译:21世纪中国沿海洪灾风险-DIVA的应用

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摘要

China experiences frequent coastal flooding, with nearly US$ 77 billion of direct economic losses and over 7,000 fatalities reported from 1989 to 2014. Flood damages are likely to grow due to climate change induced sea-level rise and increasing exposure if no further adaptation measures are taken. This paper quantifies potential damage and adaptation costs of coastal flooding in China over the 21st Century, including the effects of sea-level rise. It develops and utilises a new, detailed coastal database of China developed within the Dynamic Interactive Vulnerability Assessment (DIVA) model framework. The refined database provides a more realistic spatial representation of coasts, with more than 2700 coastal segments, covering 28,966 km of coastline. Over 50% of China's coast is artificial, representing defended coast and/or claimed land. Coastal flood damage and adaptation costs for China are assessed for different Representative Concentration Pathway (RCP) and Shared Socio-economic Pathways (SSP) combinations representing climate change and socio-economic change and two adaptation strategies: no upgrade of currently existing defences and maintaining current protection levels. By 2100, 0.7-20.0 million people may be flooded/yr and US$ 67-3.308 billion damages/yr are projected without upgrade to defences. In contrast, maintaining the current protection level would reduce those numbers to 0.2-0.4 million people flooded/yr and US$ 22-60 billion/yr flood costs by 2100, with protection investment costs of US$ 8-17 billion/yr. In 2100, maintaining current protection levels, dikes costs are two orders of magnitude smaller than flood costs across all scenarios, even without accounting for indirect damages. This research improves on earlier national assessments of China by generating a wider range of projections, based on improved datasets. The information delivered in this study will help governments, policy-makers, insurance companies and local communities in China understand risks and design appropriate strategies to adapt to increasing coastal flood risk in an uncertain world.
机译:中国经常发生沿海洪灾,从1989年至2014年,中国直接经济损失接近770亿美元,死亡人数超过7,000人。如果不采取进一步的适应措施,则由于气候变化引起的海平面上升和暴露增加,洪灾破坏可能会加剧采取。本文量化了21世纪中国沿海洪灾的潜在破坏和适应成本,包括海平面上升的影响。它开发并利用了在动态交互式漏洞评估(DIVA)模型框架内开发的中国详细,新的沿海数据库。完善的数据库提供了更现实的海岸空间表示形式,拥有2700多个沿海线段,覆盖了28,966公里的海岸线。中国超过50%的海岸是人工的,代表了受保护的海岸和/或自有土地。针对代表气候变化和社会经济变化的不同代表集中路径(RCP)和社会经济共同路径(SSP)的不同组合,评估了中国沿海洪灾的破坏和适应成本,以及两种适应策略:不升级现有防御措施并保持现有水平保护等级。到2100年,每年可能淹没0.7至20.0亿人,并且预计在不提高防御能力的情况下,每年将造成67-33.08亿美元的损失。相反,到2100年,维持目前的保护水平将使这一数字减少到每年0.20到40万人的洪水和每年22600亿美元的洪水成本,每年的保护投资成本为8-17亿美元。在2100年,维持当前的保护水平,堤防成本在所有情况下都比洪水成本小两个数量级,即使不考虑间接损失。这项研究在改进的数据集的基础上,通过产生更广泛的预测,对早期的中国国家评估进行了改进。这项研究提供的信息将帮助中国政府,政策制定者,保险公司和当地社区了解风险,并设计适当的策略以适应在不确定的世界中不断增加的沿海洪灾风险。

著录项

  • 来源
    《The Science of the Total Environment》 |2020年第20期|135311.1-135311.12|共12页
  • 作者单位

    Key Laboratory of Geographic Information Science Ministry of Education School of Geographic Sciences East China Normal University Shanghai 200241 China Academy of Disaster Reduction and Emergency Management Ministry of Emergency Management & Ministry of Education Beijing Normal University Beijing 100875 China School of Engineering University of Southampton Highfield Campus Southampton S017 1BJ UK;

    Global Climate Forum Berlin 10178 Germany;

    School of Engineering University of Southampton Highfield Campus Southampton S017 1BJ UK Department of Life and Environmental Sciences Bournemouth University Fern Barrow Bournemouth BH12 5BB UK;

    School of Engineering University of Southampton Highfield Campus Southampton S017 1BJ UK Tyndall Centre for Climate Change Research University of East Anglia Norwich Research Park Norwich NR4 7TJ UK;

    Coastal Risks and Sea-Level Rise Research Group Department of Geography Christian-Albrechts-University Kiel Kiel Germany;

    Global Climate Forum Berlin 10178 Germany Division of Resource Economics Albrecht Daniel Thaer-Institute and Berlin Workshop in Institutional Analysis of Social-Ecological Systems (WINS) Humboldt-University Berlin 10099 Germany;

    Academy of Disaster Reduction and Emergency Management Ministry of Emergency Management & Ministry of Education Beijing Normal University Beijing 100875 China School of Geographical Science Qinghai Normal University Xining 810016 China;

    Key Laboratory of Geographic Information Science Ministry of Education School of Geographic Sciences East China Normal University Shanghai 200241 China;

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

    Coastal flooding; Sea level rise; Risk assessment; Climate change impacts; China;

    机译:沿海洪水;海平面上升;风险评估;气候变化影响;中国;

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