Reprint
Flood Risk Assessments
Applications and Uncertainties
Edited by
September 2020
348 pages
- ISBN978-3-03936-938-6 (Hardback)
- ISBN978-3-03936-939-3 (PDF)
This book is a reprint of the Special Issue Flood Risk Assessments: Applications and Uncertainties that was published in
Biology & Life Sciences
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Public Health & Healthcare
Summary
In recent years, a considerable volume of technical literature has been published on flood hazard analysis, and more recently, on flood vulnerability and resilience. Nevertheless, there is still a shortage of scientific studies and practical experience of real flood risk assessment (both social and economic), including hazard, exposure and vulnerability analyses and their integration. As there are so few references available, applications of flood risk assessment to the design of preventive measures and early warning systems, landscape and urban planning, civil protection, insurance systems, and risk-based information and education, cannot reach their full potential development. This is because the research products available, such as hazard data and maps, do not serve to ensure the efficient prioritization of mitigation measures or communities at risk. Meanwhile, flooding is the natural disaster that causes the greatest loss on a global scale, and due to climate change, this situation is expected to continue. The research manuscripts involved in this book try to offer flood risk managers new tools, data and maps to improve risk mitigation, both preventive and corrective. A wide variety of topics have been covered, including: flood risk data sources; techniques and methodologies for flood risk analysis; flood risk mapping; or flood risk analysis calibrations.
Format
- Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
flood risk assessments; vulnerability of networks; emergency management; geographic information systems; open source; flood risk; LOESS model; risk map calibration; 112 emergency service; central Spain; PRICAM project; spatial autocorrelation; Poisson regression; eigenvector spatial filtering method; flood risk evaluation; Ebro River; flood mapping; flood risk areas; RADAR SAR; Sentinel-1; RGB composition; calibrated thresholding; pluvial floods; flood risk assessment; climate change; damages; vehicles; properties; pedestrians; floods; fatalities; circumstances of loss of life; historical analysis; levee failures; database; flood risk; flood defences; levee breach; flood risk; cultural heritage; meso-scale; flood hazard; flood vulnerability; Castile and León; Spain; lahar; Pico de Orizaba; paleostage indicators; tree-ring analysis; RAMMS program; flood torrential dynamics; geomorphological threshold; land-use changes; ski resort; hydrological response; Pyrenees; glacial lake outburst flood (GLOF); debris flow; Bhote Koshi; landslides; Gorkha earthquake; hazard assessment; vulnerability indicators; vulnerability cartography; flood risk; AHP; local analysis; open public data sources; floods; economic damage; building first floor; magnitude–damage models; Navaluenga; flood forecasting; snow cover control; flood management; Tagus Basin; climate model projections; flood risk; flood hazard; Reinosa; climate change prioritization; flood risk analysis; flood risk assessment; flood damage uncertainty; flood hazard; flood vulnerability; flood risk assessment; flood damage uncertainty; flood hazard; flood vulnerability