Science and Technology for Multi-hazard Cascading Disaster Risk Management
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4715-5_21
Reference18 articles.
1. Dickinson C, Aitsi-Selmi A, Basabe P, Wannous C, Murray V (2016) Global community of disaster risk reduction scientists and decision makers endorse a science and technology partnership to support the implementation of the Sendai framework for disaster risk reduction 2015–2030. Int J Disaster Risk Sci 7(1):108–109. https://doi.org/10.1007/s13753-016-0080-y
2. Donges JF, Schleussner C-F, Siegmund JF, Donner RV (2016) Event coincidence analysis for quantifying statistical interrelationships between event time series. Eur Phys J Spec Top 225(3):471–487
3. Jaiswal A, Kumar A, Pal I, Raisinghani B, Bhoraniya TH (2022) Sustainable management of coastal critical infrastructure: case study of multi-purpose cyclone shelters in South Asia. Int J Disaster Resilience Built Environ
4. Jongman B et al (2014) Increasing stress on disaster-risk finance due to large floods. Nat Clim Chang 4(4):264–268
5. Macmillan A et al (2016) Integrated decision-making about housing, energy and wellbeing: a qualitative system dynamics model. Environ Health 15(1):23–34
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