Articles | Volume 7, issue 3
https://doi.org/10.5194/esd-7-659-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-7-659-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hazard interactions and interaction networks (cascades) within multi-hazard methodologies
Department of Geography, King's College London, London, WC2R 2LS, UK
Bruce D. Malamud
Department of Geography, King's College London, London, WC2R 2LS, UK
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- Beyond the Sendai indicators: Application of a cascading risk lens for the improvement of loss data indicators for slow-onset hazards and small-scale disasters R. Zaidi 10.1016/j.ijdrr.2018.03.022
- Anthropogenic processes, natural hazards, and interactions in a multi-hazard framework J. Gill & B. Malamud 10.1016/j.earscirev.2017.01.002
- Cascading Events, Technology and the Floods Directive: future challenges G. Pescaroli et al. 10.1051/e3sconf/20160707003
63 citations as recorded by crossref.
- Probabilistic cascading multi-hazard risk assessment methodology using graph theory, a New Zealand trial A. Dunant et al. 10.1016/j.ijdrr.2020.102018
- Engineering-Geological Features Supporting a Seismic-Driven Multi-Hazard Scenario in the Lake Campotosto Area (L’Aquila, Italy) B. Antonielli et al. 10.3390/geosciences11030107
- A machine learning framework for multi-hazards modeling and mapping in a mountainous area S. Yousefi et al. 10.1038/s41598-020-69233-2
- Mountain specific multi-hazard risk management framework (MSMRMF): Assessment and mitigation of multi-hazard and climate change risk in the Indian Himalayan Region S. Sekhri et al. 10.1016/j.ecolind.2020.106700
- Compound and cascading drought impacts do not happen by chance: A proposal to quantify their relationships M. de Brito 10.1016/j.scitotenv.2021.146236
- Geohazards and human settlements: Lessons learned from multiple relocation events in Badong, China – Engineering geologist's perspective W. Gong et al. 10.1016/j.enggeo.2021.106051
- The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia D. Kirschbaum et al. 10.3389/feart.2019.00197
- Modelling and quantifying tomorrow's risks from natural hazards G. Cremen et al. 10.1016/j.scitotenv.2021.152552
- Are We Missing the Target? A Bias-Variance Perspective on Multi-Hazard Risk Assessment A. Dunant 10.3389/feart.2021.685301
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- Assemblage theory and disaster risk management P. McGowran & A. Donovan 10.1177/03091325211003328
- A review of quantification methodologies for multi-hazard interrelationships A. Tilloy et al. 10.1016/j.earscirev.2019.102881
- Improving emergency preparedness to cascading disasters: A case‐driven risk ontology modelling F. Yu et al. 10.1111/1468-5973.12314
- Slope Stability in a Multi-Hazard Eruption Scenario (Santorini, Greece) G. Forte et al. 10.3390/geosciences9100412
- Dynamical systems theory sheds new light on compound climate extremes in Europe and Eastern North America P. De Luca et al. 10.1002/qj.3757
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- The need to integrate flood and drought disaster risk reduction strategies P. Ward et al. 10.1016/j.wasec.2020.100070
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- Working with communities on disaster risk research: Reflections from cross-disciplinary practice R. Few et al. 10.1016/j.ijdrr.2022.102815
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- Multi-hazards, displaced people's vulnerability and resettlement: Post-earthquake experiences from Rasuwa district in Nepal and their connections to policy loopholes and reconstruction practices K. Rieger 10.1016/j.pdisas.2021.100187
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- Increasing resilience to cascading events: The M.OR.D.OR. scenario G. Pescaroli et al. 10.1016/j.ssci.2017.12.012
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- Multi-risk assessment in mountain regions: A review of modelling approaches for climate change adaptation S. Terzi et al. 10.1016/j.jenvman.2018.11.100
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- Ontology-based discovery of time-series data sources for landslide early warning system J. Phengsuwan et al. 10.1007/s00607-019-00730-7
- Uncommon sense: A review of challenges and opportunities for aggregating disaster risk information P. Månsson 10.1016/j.ijdrr.2019.101149
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- Residential district multi-hazard risk is associated with childhood undernutrition: evidence from Bangladesh M. Hossain et al. 10.1080/09603123.2021.1932766
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- Beyond the Sendai indicators: Application of a cascading risk lens for the improvement of loss data indicators for slow-onset hazards and small-scale disasters R. Zaidi 10.1016/j.ijdrr.2018.03.022
- Anthropogenic processes, natural hazards, and interactions in a multi-hazard framework J. Gill & B. Malamud 10.1016/j.earscirev.2017.01.002
1 citations as recorded by crossref.
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Latest update: 04 Jun 2023
Short summary
Understanding interactions between hazards and other processes can help us to better understand the complex environment in which disasters occur. This enhanced understanding may help us to better manage hazards and reduce the risk of disasters occurring. Interactions (e.g. one hazard triggering another hazard) are noted between (i) natural hazards, such as earthquakes; (ii) human activity, such as groundwater abstraction; and (iii) technological hazards/disasters, such as building collapse.
Understanding interactions between hazards and other processes can help us to better understand...
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