Reprint

Natural-Hazards Risk Assessment for Disaster Mitigation

Edited by
July 2023
314 pages
  • ISBN978-3-0365-8017-3 (Hardback)
  • ISBN978-3-0365-8016-6 (PDF)

This book is a reprint of the Special Issue Natural-Hazards Risk Assessment for Disaster Mitigation that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary

Knowledge and awareness of the risks generated by natural hazards are essential requirements for the enhancement of communities' resilience to disasters. United Nations directives have recently pointed out the necessity of undertaking actions aimed at anticipating, managing, and mitigating disaster risks to reduce their economic and social impact and protect the health, socioeconomic assets, cultural heritage, and ecosystems of communities and countries. While the increasing occurrence of disasters caused by meteorological events, such as floods, storms, and droughts, can be directly ascribed to the consequence of climate change, disasters induced by earthquakes and tsunamis are increasing even if their frequency of occurrence is historically unchanged. This Special Issue addresses concepts, methods, and predictive methodologies for assessing natural hazard risks. It presents fifteen articles focusing on the single-risk assessment of a broad range of natural hazards, such as earthquakes, river/sea floods, meteotsunamis, tornados, hydrological and meteorological drought, liquefaction, as well as on multirisk assessment in the presence of multiple hazards. The adopted methodologies rely on (a) quantitative, semi-quantitative, and qualitative methods for the assessment of the risks related to natural hazards; (b) risk analysis at different scales; (c) multi-hazard risk assessment techniques; (d) real-time hazard monitoring and warning systems; (e) disaster mitigation strategies; and (f) risk management and emergency planning on multiple scales.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
tornadoes; climatology; Bayesian; risk assessment; multi hazard; seismic risk; hydraulic risk; machine learning; principal component analysis; climate change; multi-hazards; WRF-ARW; EC-Earth GCM; Greece; geographic information system; hazard assessment; river terraces; risk assessment; risk assessment; multi hazard; seismic risk; flood risk; multiple-criteria decision analysis; PROMETHEE algorithm; lateral displacement; liquefaction; Gaussian process regression; sensitivity analysis; machine learning; NFIP claims; flood risk; flood insurance; flood cause of loss; HURDAT; catastrophe model; seismic risk assessment; pushover analysis; vulnerability index; damage index; index of seismic risk; masonry buildings; geophysical surveying; seismic tomography; geotechnical characterization; drought SDI; SPI; linkage; propagation; Adriatic Sea; database; tsunami; meteotsunami; ArcGis; WebApp; AHP; digital elevation model; flood; GIS; risk assessment; target displacement; earthquake; peak ground acceleration; reinforced-concrete; pushover; coastal flooding; real-time warning system; tides; wind-generated waves; barometric pressure; mobile application; risk assessment; multi hazard; multi-hazard risk assessment; multi-criteria decision-making; GIS; PROMETHEE method; n/a