SDG13.1.1 Data Sets

The Sustainable Development Goals set by the United Nations aim to solve social, economic and environmental development problems in an integrated manner during the period from 2015 to 2030. The 13th SDG is to “Take urgent action to combat climate change and its impacts”, concerning sub-goal 13.1 “Strengthen resilience and adaptive capacity to climate related hazards and disasters in all countries”. SDG13.1.1 has been defined to be a specific, effective indicator that can be used to quantitatively monitor and evaluate governments' response to climate change. It is defined as the “number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population”. The EM-DAT contains important core data on the occurrence and impact of more than 220,000 large-scale disasters worldwide from 1900 to the present. As a global disaster database, the EM-DAT provides a large amount of natural and technological disaster data for international projects and scientific research. By making use of the EM-DAT big data and SGD13.1.1 indicators, it is possible to quantify disaster information at a large geographical scale and to conduct valuable disaster assessments of different countries and regions, as well as to improve the monitoring and assessment of disaster risk reduction capabilities, and strengthen the ability of countries to adapt to, resist, and reduce extreme disasters caused by climate change. In our related paper "Disaster Assessment for the “Belt and Road” Region based on SDG landmarks", disaster assessment for the ‘Belt and Road’ region was carried out in relation to the SGD13.1.1 indicator, based on the EM-DAT (The Emergency Events Database) database. A new method for diagnosing trends in SGD13.1.1 was proposed, and an overview of disaster records is used to quantify disasters for a total of 73 countries using the data available in the EM-DAT. The following data are supplementary materials for this article,including:the calculation variables of the SDG13.1.1 indicator;disaster types of each country in the whole Belt and Road region; calulated SDG13.1.1 value and trend values of each country in the Belt and Road countries.

联合国所设定的可持续发展目标旨在2015年至2030年期间以综合方式解决社会、经济和环境发展问题。第13项可持续发展目标旨在‘采取紧急行动应对气候变化及其影响’，其中子目标13.1为‘加强各国对气候相关灾害和灾难的适应能力和恢复力’。SDG13.1.1已被定义为一种具体、有效的指标，可用于定量监控和评估各国政府对气候变化的响应。该指标被定义为‘每10万人因灾害导致的死亡人数、失踪人数和直接受灾人数’。EM-DAT数据库包含了1900年至现在全球超过22万次大规模灾害的发生和影响的重要核心数据。作为全球灾害数据库，EM-DAT为国际项目和科学研究提供了大量自然和技术灾害数据。通过利用EM-DAT大数据和SDG13.1.1指标，可以量化大规模地理尺度的灾害信息，并对不同国家和地区进行有价值的灾害评估，以及提升对灾害风险减缓和监测评估能力的改进，并加强各国适应、抵抗和减少气候变化引发的极端灾害的能力。在我们的相关论文《基于SDG标志的“一带一路”地区灾害评估》中，基于EM-DAT（紧急事件数据库）数据库，针对SDG13.1.1指标进行了‘一带一路’地区的灾害评估。提出了一种诊断SDG13.1.1趋势的新方法，并利用EM-DAT中的数据对73个国家进行了灾害记录的概述和量化。以下数据为该文章的补充材料，包括：SDG13.1.1指标的计算变量；整个“一带一路”地区各国的灾害类型；以及‘一带一路’各国SDG13.1.1值和趋势值。