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The human cost of global warming: Deadly landslides and their triggers (1995-2014)

机译:全球变暖的人为代价:致命的山崩及其诱因(1995-2014)

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摘要

Worldwide, landslides incur catastrophic and significant economic and human losses. Previous studies have characterized the patterns in landslides' fatalities, from all kinds of triggering causes, at a continental or global scale, but they were based on data from periods of 10 years. The research herein presented hypothesizes that climate change associated with extreme rainfall and population distribution is contributing to a higher number of deadly landslides worldwide. This study maps and identified deadly landslides in 128 countries and it encompasses their role, for a 20 years period from January/1995 to December/2014, considered representative for establishing a relationship between landslides and their meteorological triggers. A database of georeferenced landslides, their date, and casualties information, duly validated, was implemented. A hot spot analysis for the daily record of landslide locations was performed, as well as a percentile-based approach to evaluate the trend of extreme rainfall events for each occurrence. The relationship between casualty, population distribution, and rainfall was also evaluated. For 20 years, 3876 landslides caused a total of 163,658 deaths and 11,689 injuries globally. They occurred most frequently between June and December in the Northern Hemisphere, and between December and February in the Southern Hemisphere. A significant global rise in the number of deadly landslides and hotspots across the studied period was observed. Analysis of daily rainfall confirmed that more than half of the events were in areas exposed to the risk of extreme rainfall. The relationships established between extreme rainfall, population distribution, seasonality, and landslides provide a useful basis for eflbrts to model the adverse impacts of extreme rainfall due to climate change and human activities and thus contribute towards a more resilient society. (C) 2019 Elsevier B.V. All rights reserved.
机译:在世界范围内,山体滑坡带来灾难性的重大经济和人员损失。以前的研究已经在大陆或全球范围内,从各种触发原因中描述了滑坡死亡的模式,但是这些模式是基于小于10年的数据。此处的研究提出了以下假设:与极端降雨和人口分布有关的气候变化正在导致全球范围内更多的致命滑坡。这项研究绘制了地图并确定了128个国家中的致命滑坡,涵盖了它们在1995年1月/ 2014年12月/ 2014年的20年中的作用,被认为是建立滑坡与其气象触发因素之间关系的代表。建立了经过适当验证的地理参考滑坡,其日期和人员伤亡信息的数据库。进行了滑坡位置每日记录的热点分析,以及基于百分位的方法来评估每次事件的极端降雨事件的趋势。还评估了人员伤亡,人口分布和降雨之间的关系。在过去的20年中,全球共有3876处滑坡导致163,658人死亡和11,689人受伤。它们最经常发生在北半球的6月到12月之间,以及南半球的12月到2月之间。在整个研究期间,全球范围内的致命滑坡和热点数量显着增加。对每日降雨的分析证实,一半以上的事件发生在有极端降雨风险的地区。极端降雨,人口分布,季节性和山体滑坡之间建立的关系为人们建立模型提供了有用的依据,以模拟极端降雨对气候变化和人类活动造成的不利影响,从而有助于建立一个更具复原力的社会。 (C)2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第10期|673-684|共12页
  • 作者单位

    Univ Florida, Dept Geog, Gainesville, FL USA|Univ Florida, Emerging Pathogens Inst, Gainesville, FL USA|Univ North Texas, Hlth Sci Ctr, Dept Biostat & Epidemiol, Ft Worth, TX 76107 USA;

    NOVA Univ Lisbon, Sch Sci & Technol, GeoBioTec, Caparica, Portugal|NOVA Univ Lisbon, Sch Sci & Technol, Dept Earth Sci, Caparica, Portugal;

    Norwegian Water Resources & Energy Directorate NV, Oslo, Norway;

    Alpen Adria Univ Klagenfurt, Univ Str 65-67, A-9020 Klagenfurt, Austria;

    Univ N Carolina, Dept Biostat, Chapel Hill, NC USA;

    Univ North Texas, Dept Comp Sci & Engn, 1155 Union Circle 311366, Denton, TX 76203 USA;

    Gadjah Mada Univ, Dept Geol Engn, Yogyakarta, Indonesia;

    Univ Bergen, Dept Geog, Bergen, Norway;

    Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China;

    Manhattan Coll, Civil & Environm Engn, 4513 Manhattan Coll Pkwy, Riverdale, NY 10471 USA;

    Nagasaki Univ, Inst Trop Med, Dept Int Hlth, Nagasaki 8528523, Japan;

    Univ Alabama, Dept Geog, Tuscaloosa, AL USA;

    Natl Cheng Kung Univ, Dept Civil Engn, Tainan 70101, Taiwan;

    Univ Florida, Dept Geog, Gainesville, FL USA|Univ Florida, Emerging Pathogens Inst, Gainesville, FL USA;

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

    Landslide; Global; Extreme rainfall; Fatality; Casualty; Hotspot;

    机译:滑坡;全球;极端降雨;致命;伤亡;热点;

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