Exclusive: Climate change and building resilience

Spatial-temporal variation of meteorological disasters in the “Belt and Road” regions

  • JIANG Tong ,
  • TAN Ke ,
  • WANG Yanjun ,
  • ZHAI Jianqing
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  • 1. Institute of Disaster Risk Management/School of Geography Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    2. National Climate Center, China Meteorological Administration, Beijing 100081, China

Received date: 2019-12-16

  Revised date: 2020-03-31

  Online published: 2020-05-15

Abstract

Based on the meteorological disaster data of the "Belt and Road" regions from 1980 to 2019, the spatial-temporal characteristics of these regions are analyzed. The results of the analysis are as follows. First, the numbers of meteorological disasters, economic losses and victims in the "Belt and Road" regions from 1980 to 2019 all see an overall upward trend, and reach 54%, 44% and 80% of the global total numbers. Second, South Asia and Southeast Asia are the most seriously affected regions, of which Southeast Asia accounts for 36% of the total number of meteorological disasters, and South Asia accounts for 29%; while in terms of economic losses, South Asia accounts for 40%, Southeast Asia accounts for 39%; in terms of victims, South Asia accounts for 48%, and Southeast Asia accounts for 37%. Therefore, for the "Belt and Road" regions of South Asia and Southeast Asia, one needs to focus on the disaster prevention and mitigation. Third, in the 21st century, the number of meteorological disasters in the 2010s has increased by 2.8 times from that of the 2000s, while the number of deaths has decreased by 76%.

Cite this article

JIANG Tong , TAN Ke , WANG Yanjun , ZHAI Jianqing . Spatial-temporal variation of meteorological disasters in the “Belt and Road” regions[J]. Science & Technology Review, 2020 , 38(8) : 57 -65 . DOI: 10.3981/j.issn.1000-7857.2020.08.007

References

[1] 国家发展改革委, 外交部, 商务部. 推动共建丝绸之路经济带和21世纪海上丝绸之路的愿景与行动[N]. 人民日报. 2015-30-29(4).
[2] 姜彤, 王艳君, 袁佳双, 等."一带一路"沿线国家2020-2060年人口经济发展情景预测[J]. 气候变化研究进展, 2018, 14(2):155-164.
[3] 李晓, 李俊久."一带一路"与中国地缘政治经济战略的重构[J]. 世界经济与政治, 2015, 10(2):30-59.
[4] 崔鹏, 苏凤环. 国产高分辨率卫星在"一带一路"自然灾害风险管理中的应用[J]. 卫星应用, 2016(10):8-11.
[5] 翟崑."一带一路"建设的战略思考[J]. 国际观察, 2015(5):49-60.
[6] 任栋, 郭安宁."一带一路"所经陆路地域巨震链特征研究[J]. 中国安全生产科学技术, 2015, 11(10):48-52.
[7] 孔锋, 史培军, 方建, 等. 全球变化背景下极端降水时空格局变化及其影响因素研究进展和展望[J]. 灾害学, 2015(2):165-17.
[8] 郑远长. 全球自然灾害概述[J]. 中国减灾, 2000, 10(1):21-28.
[9] Jeworrek. Natural catastrophes 2012 analyses, assessments, positions 2017 issue[EB/OL]. (2018-1-18)[2019-12-01]. https://www.munichre.com/topics-online/en/climate-change-and-natural-disasters/natural-disasters.html.
[10] 杨涛, 郭琦, 肖天贵."一带一路"沿线自然灾害分布特征研究[J]. 中国安全生产科学技术, 2016, 12(10):165-171.
[11] 毛新竹, 刘建红, 李同昇, 等."一带一路"沿线国家自然灾害时空分布特征分析[J]. 自然灾害学报, 2018, 27(1):1004-4574.
[12] World Bank:World development indicators[R/OL]. (2017-07-01)[2019-09-28]. http://data.worldbank.org/data-catalog/world-development-indicators.
[13] NatCatSERVICE[EB/OL]. (2019-03-16)[2019-08-16]. https://natcatservice.munichre.com.
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