[1] UNDDR. 2020. The human cost of disasters: an overview of the last 20 years (2000−2019). Report. Centre for Research on the Epidemiology of Disasters, United Nations Office for Disaster Risk Reduction. Available at: https://www.undrr.org/publication/human-cost-disasters-overview-last-20-years-2000-2019.
[2] Huang D, Wang S, Liu Z. 2021. A systematic review of prediction methods for emergency management. International Journal of Disaster Risk Reduction 62:102412 doi: 10.1016/j.ijdrr.2021.102412
[3] Zhou L, Wu X, Xu Z, Fujita H. 2018. Emergency decision making for natural disasters: an overview. International Journal of Disaster Risk Reduction 27:567−76 doi: 10.1016/j.ijdrr.2017.09.037
[4] Chen N, Liu W, Bai R, Chen A. 2019. Application of computational intelligence technologies in emergency management: a literature review. Artificial Intelligence Review 52:2131−68 doi: 10.1007/s10462-017-9589-8
[5] Zhao X, Pan S, Sun Z, Guo H, Zhang L, et al. 2020. Advances of satellite remote sensing technology in earthquake prediction. Natural Hazards Review 22:03120001 doi: 10.1061/(asce)nh.1527-6996.0000419
[6] Avand M, Moradi H, Lasboyee MR. 2021. Using machine learning models, remote sensing, and GIS to investigate the effects of changing climates and land uses on flood probability. Journal of Hydrology 595:125663 doi: 10.1016/j.jhydrol.2020.125663
[7] Wei Y, Newman AV, Hayes GP, Titov VV, Tang L. 2014. Tsunami forecast by joint inversion of real-time tsunami waveforms and seismic or GPS data: application to the Tohoku 2011 tsunami. Pure and Applied Geophysics 171:3281−305 doi: 10.1007/s00024-014-0777-z
[8] Thibaud M, Chi H, Zhou W, Piramuthu S. 2018. Internet of things (IoT) in high-risk environment, health and safety (EHS) industries: a comprehensive review. Decision Support Systems 108:79−95 doi: 10.1016/j.dss.2018.02.005
[9] Zafar U, Shah MA, Wahid A, Akhunzada A, Arif S. 2019. Exploring IoT applications for disaster management: identifying key factors and proposing future directions. In Recent Trends and Advances in Wireless and IoT-Enabled Networks, eds. Ahmad Jan M, Khan F, Alam M. Switzerland: Springer, Cham. pp. 291−309 https://doi.org/10.1007/978-3-319-99966-1_27
[10] Shah SA, Seker DZ, Hameed S, Draheim D. 2019. The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects. IEEE Access 7:54595−614 doi: 10.1109/ACCESS.2019.2913340
[11] Amezquita-Sanchez JP, Valtierra-Rodriguez M, Adeli H. 2017. Current efforts for prediction and assessment of natural disasters: earthquakes, tsunamis, volcanic eruptions, hurricanes, tornados, and floods. Scientia Iranica 24:2645−64 doi: 10.24200/sci.2017.4589