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[P-46] Disaster Risk Reduction Knowledge Service

Juanle Wang^1,4, Kun Bu^2,4, *Yuelei Yuan^1,4, Yujie Wang^1,4, Xuehua Han^1,3,4 (1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 2. Northeast Institute of geography and Agroecology, Chinese Academy of Sciences, 3. University of Chinese Academy of Sciences, 4. International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO)

Keywords:Disaster risk reduction, Knowledge service, Data driven, Engineering technology, Knowledge center

Disaster risk reduction is a global concerned issue pushed by UN Sustainable Development Goals (SDGs) and the Sendai Framework for Disaster Risk Reduction. The requirement for disaster risk reduction platform based on international cooperation and big data mining is urgent. Under this background, Disaster Risk Reduction Knowledge Service (DRR) was born under the guidance of the International Knowledge Centre for Engineering Sciences and Technology under the Auspices of UNESCO (IKCEST) in China in 2016. DRR sets up global disaster metadata standards, disaster thematic database of earthquake, flood, drought, freezing, etc., and historical disaster map database, knowledge databases including disaster experts, disaster events, disaster documents, disaster media, disaster institutions, etc., and knowledge applications of Global earthquake daily distribution map service, map visualization services of China historical disasters, thematic knowledge services for emergency relief, natural disaster relief experiences from China and international, the spatio-temporal distribution of arable land drought in the Belt and Road area and so on. The DRR system has been online (http://drr.ikcest.org) and provides knowledge services for international communities. Through the 3 years research and development, DRR integrated the basic national information of resources and environment data of the 54 countries along "The Belt and Road" and sets up 111 thematic databases, with a total of 165 disaster datasets, for the serious disaster types such as drought, earthquake, flood disaster and frost rain and snow disaster. DRR have carried out 13 thematic knowledge services based on big data mining and analysis technology. Till the end of July, 2019, DRR platform has attracted 11 thousand page views per month, about 29% from abroad and 71% from domestic.