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Assessment of social vulnerability to natural hazards in the Yangtze River Delta, China

机译:中国长江三角洲对自然灾害的社会脆弱性评估

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摘要

China is exposed to a wide range of natural hazards, and disaster losses have escalated over the past decade. Owing to the pressure from natural disasters, along with changes in climate, social conditions, and regional environment, assessment of social vulnerability (SV) to natural hazards has become increasingly urgent for risk management and sustainable development in China. This paper presents a new method for quantifying SV based on the projection pursuit cluster (PPC) model. A reference social vulnerability index (SVI) at the county level was created for the Yangtze River Delta area in China for 1995, 2000, 2005, and 2009. The result of social vulnerability assessment was validated using data of actual losses from natural disasters. The primary findings are as follows: (ⅰ) In the study area, the major factors that impact SVI are regional per capita GDP and per capita income, (ⅱ) The study area was more vulnerable in 1995 than in later years. SV of the whole region had decreased over the study period, (ⅲ) Most part of Shanghai and the southeast part of Jiangsu Province had been the least vulnerable within the region. From this least vulnerable zone to the periphery of the region, the situation deteriorated. The highest SVI values in all evaluated years were found in the northern, western, or southern tips of the Yangtze River Delta.
机译:中国面临着各种各样的自然灾害,在过去十年中,灾害损失不断增加。由于自然灾害带来的压力以及气候,社会条件和区域环境的变化,对自然灾害的社会脆弱性(SV)评估对于中国的风险管理和可持续发展变得越来越紧迫。本文提出了一种基于投影追踪聚类(PPC)模型的SV量化方法。为中国长江三角洲地区创建了1995年,2000年,2005年和2009年的县级参考社会脆弱性指数(SVI)。使用自然灾害的实际损失数据验证了社会脆弱性评估的结果。主要研究结果如下:(ⅰ)在研究区中,影响SVI的主要因素是地区人均GDP和人均收入。(ⅱ)1995年,该研究区比以后的年份更加脆弱。在研究期间,整个地区的SV下降了。(ⅲ)上海大部分地区和江苏省东南部地区是该地区最不易受伤害的地区。从这个最脆弱的地区到该地区的外围,局势恶化了。在所有评估年份中,最高的SVI值都位于长江三角洲的北部,西部或南部。

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  • 作者单位

    State Key Laboratory of Pollution Control & Resource Re-use, School of the Environment, Nanjing University,Nanjing 210093, China;

    School of Transportation, Southeast University, Nanjing 210018 China;

    College of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China;

    State Key Laboratory of Pollution Control & Resource Re-use, School of the Environment, Nanjing University,Nanjing 210093, China;

    Department of Geography, Social Science Center, The University of Western Ontario, 1151 Richmond Street,London, ON N6A 5C2, Canada;

    Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing. 100875, China,Key Laboratory of Environmental Change and Natural Disasters of Ministry of Education, Beijing Normal University, Beijing 100875, China;

    Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing. 100875, China,Key Laboratory of Environmental Change and Natural Disasters of Ministry of Education, Beijing Normal University, Beijing 100875, China;

    Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing. 100875, China,Key Laboratory of Environmental Change and Natural Disasters of Ministry of Education, Beijing Normal University, Beijing 100875, China;

    State Key Laboratory of Pollution Control & Resource Re-use, School of the Environment, Nanjing University,Nanjing 210093, China;

    Information Center of Ministry of Science & Technology, Beijing 100862, China;

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

    Social vulnerability index - Natural hazards - Projection pursuit cluster model; Yangtze River Delta;

    机译:社会脆弱性指数-自然灾害-投影追踪聚类模型;长三角;

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