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- W3205083869 abstract "In this study, based on the EM-DAT (The Emergency Events Database) database, disaster assessment for the “Belt and Road” region was carried out in relation to the SDG13.1.1 indicator of the Sustainable Development Goals (SDGs) agenda launched in 2015. A new method for diagnosing trends in the SDG13.1.1 indicators based on the Theil-Sen median method is proposed. In addition, using the data available in the EM-DAT, an overview of disaster records is used to quantify disasters for a total of 73 countries. The disaster trends for the period 2015‒2019 were found to demonstrate the following. (1) As a result of geological and climate conditions, Asia and Africa are high-risk disaster areas and disasters have caused considerable economic losses and affected the populations in developing and underdeveloped countries in these regions. (2) The clear positive value of Δs13.1.1 found for China reflects the country’s encouraging achievements in disaster prevention and mitigation. (3) The value of SDG13.1.1 was observed to be increasing in South Asia, northwest Africa and South Africa, with the increase in India and Mauritania being the most serious. The new method proposed in this paper allows the real trend in the SDG13.1.1 indicator in various countries to be derived and provides critical intelligence support for international disaster risk reduction plans and sustainable development goals." @default.
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- W3205083869 date "2021-08-20" @default.
- W3205083869 modified "2023-09-22" @default.
- W3205083869 title "Disaster assessment for the “Belt and Road” region based on SDG landmarks" @default.
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- W3205083869 doi "https://doi.org/10.1080/20964471.2021.1901359" @default.
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