Abstract
Earthquakes have caused tremendous damage in China and around the world; the Wenchuan earthquake that occurred in China 10 years ago is among the deadliest earthquakes in history. The importance of earthquake monitoring and seismic data analysis is now recognized in China. However, the effective dissemination of earthquake-related disaster risk reduction (DRR) knowledge to decision-makers and the public has not been adequately addressed. Under the auspices of the United Nations Educational, Scientific, and Cultural Organization (UNESCO), the International Knowledge Centre for Engineering Science and Technology (managed by the Chinese Academy of Engineering) launched the Disaster Risk Reduction Knowledge Service in 2016. This service, based on the development of disaster metadata standards, was constructed to share disaster information and provide thematic knowledge services; it facilitates the integration and sharing of disaster data, disaster maps, expert opinions, institutional knowledge, research literature, and videos. A series of earthquake DRR knowledge services applications have been implemented using this knowledge service platform, including (1) a global earthquake daily distribution map service, (2) a spatiotemporal map of historical earthquakes in the One Belt One Road region, (3) a Wenchuan earthquake disaster relief knowledge service, and (4) a thematic knowledge service for disaster relief work and contingency planning during the Jiuzhaigou earthquake. In the long term, this system will support the conversion of disaster data into DRR knowledge and provide services for international organizations, government institutions, research and educational institutions, enterprises, and the general public.
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References
DesInventar. (2015). Inventory system of the effects of disasters. http://www.desinventar.org/en/. Accessed 25 Mar 2018.
Fan, J. (2009). Post disaster reconstruction plan of Wenchuan earthquake: Carrying capacity evaluation of resources and environment. Beijing: Science Press. (in Chinese).
Fang, W. H., & Wang, J. A. (1998). Establishment of case databases concerning the historical floods in China. Journal of Beijing Normal University (Natural Science),34(2), 269–275. (in Chinese).
Han, P., & Zhou, H. J. (2017). The world’s ten major disaster risk assessment (information) platform (2). Disaster Reduction in China,11, 58–59. (in Chinese).
Lin, S., & Zhou, H. J. (2017). The world’s ten major disaster risk assessment (information) platform (1). Disaster Reduction in China,09, 56–57. (in Chinese).
Liu, R. F., & Peng, K. Y. (2009). Study and practice for earthquake scientific data integration and sharing, national science and technology infrastructure construction summary and prospect. Beijing: Chinese Science and Technology Press. (in Chinese).
Liu, Y. L., Xu, S. Y., Wang, J., et al. (2008). A study on the present status of disaster data and information sharing at home and abroad. Journal of Catastrophology,23(3), 109–113. (in Chinese).
Mo, X. M. (2015). Research status and development trends of domestic knowledge service. TUSHUGUANXUEKAN,37(12), 133–136. (in Chinese).
Münchener Rückversicherungs-Gesellschaft. TOPICS Geo Natural catastrophes 2017. Germany. 2017. https://www.munichre.com/site/touch-publications/get/documents_E711248208/mr/assetpool.shared/Documents/5_Touch/_Publications/TOPICS_GEO_2017-en.pdf. Accessed 10 Mar 2018.
National Disaster Reduction Center of Ministry of Civil Affairs of the People’s Republic. National Natural Disaster Management System. 2018. http://www.nndims.com. Accessed 10 Mar 2018 (in Chinese).
National Oceanic and Atmospheric Administration. (2017). U.S. Department of Commerce. National Weather Service. http://www.nws.noaa.gov/om/hazstats.shtml. Accessed 10 Mar 2018.
National Science and Technology Infrastructure Center. (2016). China scientific data resources report 2016. Beijing: Scientific and Technical Documentation Press. (in Chinese).
National Science and Technology Infrastructure Center. (2017). China scientific data resources report 2017. Beijing: Scientific and Technical Documentation Press. (in Chinese).
Si, R. J., Wen, J. H., Yin, Z. E., et al. (2007). Emergency events database (EM- DAT) and its applications. Science & Technology,25(6), 60–67. (in Chinese).
UNESCO Disaster Risk Reduction. 2018. http://www.unesco.org/new/en/natural-sciences/special-themes/disaster-risk-reduction/. Accessed 10 Apr 2018.
United Nations. (2015a). Sendai framework for disaster risk reduction 2015–2030. United Nations Office for Disaster Risk Reduction (UNISDR). https://www.preventionweb.net/files/43291_sendaiframeworkfordrren.pdf. Accessed 10 Feb 2018.
United Nations. (2015b). Sustainable development goals. https://www.un.org/sustainabledevelopment/sustainable-development-goals/. Accessed 10 Feb 2018.
USGS. (2016). Induced earthquakes raise chances of damaging shaking in 2016. https://www.usgs.gov/news/induced-earthquakes-raise-chances-damaging-shaking-2016. Accessed 10 Feb 2018.
Wang, X., & Zhou, H. J. (2017). The world’s ten major disaster risk assessment (information) platform (4). Disaster Reduction in China,19, 60–61. (in Chinese).
Wen, Y. K., & Jiao, Y. Y. (2011). Constructing a scientific framework for knowledge service in semantic Web environment. Journal of Information Resources Management,1, 99–104. (in Chinese).
Xie, Y. B. (2017). Design knowledge services via internet-an analysis on the functions of China Knowledge Center for Engineering Sciences and Technology (CKCEST). China Mechanical Engineering,28(6), 631–641. (in Chinese).
Xu, X., Wang, J. A., & Wang, W. Y. (2000). The construction and application of the natural disaster case database in China. Journal of Beijing Normal University (Natural Science),36(2), 274–280. (in Chinese).
Yan, L. J. (2016). Natural disasters Information integration: Theoretical and empirical research. Shanghai: Shanghai Normal University. (in Chinese).
Zhang, C., & Zhou, H. J. (2017). The world’s ten major disaster risk assessment (information) platform (3). Disaster Reduction in China,15, 56–57. (in Chinese).
Zhou, H. J. (2017). The world’s ten major disaster risk assessment (information) platform (5). Disaster Reduction in China,23, 60–61. (in Chinese).
Acknowledgements
The authors gratefully acknowledge guidance from Sun Jiulin, academician of the Chinese Academy of Engineering, as well as the experts of the Natural Science Sector of the UNESCO Office for Disaster Risk Reduction and the Secretariat of the International Knowledge Centre for Engineering Sciences and Technology (IKCEST) of the Chinese Academy of Engineering. The authors thank all the team members from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, and Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences. This study was supported by the Construction Project of the China Knowledge Centre for Engineering Sciences and Technology (grant no. CKCEST-2018-2-8), the Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences (grant no. XDA2003020302), and the 13th Five-Year Information Plan of the Chinese Academy of Sciences (grant no. XXH13505-07).
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Wang, J., Bu, K., Yang, F. et al. Disaster Risk Reduction Knowledge Service: A Paradigm Shift from Disaster Data Towards Knowledge Services. Pure Appl. Geophys. 177, 135–148 (2020). https://doi.org/10.1007/s00024-019-02229-w
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DOI: https://doi.org/10.1007/s00024-019-02229-w