scholarly journals Safer_RAIN: a Fast-Processing DEM-Based Algorithm for Pluvial Flood Hazard Assessment Across Large Urban Areas

2019 ◽  
Author(s):  
Attilio Castellarin ◽  
Caterina Samela ◽  
Simone Persiano ◽  
Stefano Bagli ◽  
Valerio Luzzi ◽  
...  
Keyword(s):  
Hazard Assessment ◽  
Urban Areas ◽  
Flood Hazard ◽  
Flood Hazard Assessment ◽  
Fast Processing

scholarly journals Safer_RAIN: a Fast-Processing DEM-Based Algorithm for Pluvial Flood Hazard Assessment Across Large Urban Areas

2019 ◽  
Author(s):  
Attilio Castellarin ◽  
Caterina Samela ◽  
Simone Persiano ◽  
Stefano Bagli ◽  
Valerio Luzzi ◽  
...  
Keyword(s):  
Hazard Assessment ◽  
Urban Areas ◽  
Flood Hazard ◽  
Flood Hazard Assessment ◽  
Fast Processing

Is local flood hazard assessment in urban areas significantly influenced by the physical complexity of the hydrodynamic inundation model?

2020 ◽  
Vol 580 ◽  
pp. 124231 ◽  
Author(s):  
Pierfranco Costabile ◽  
Carmelina Costanzo ◽  
Gianluca De Lorenzo ◽  
Francesco Macchione
Keyword(s):  
Hazard Assessment ◽  
Urban Areas ◽  
Flood Hazard ◽  
Flood Hazard Assessment ◽  
Inundation Model ◽  
Physical Complexity

scholarly journals Flood Hazard Assessment Mapping in Burned and Urban Areas

2021 ◽  
Vol 13 (8) ◽  
pp. 4455
Author(s):  
Hariklia D. Skilodimou ◽  
George D. Bathrellos ◽  
Dimitrios E. Alexakis
Keyword(s):  
Hazard Assessment ◽  
Land Use Planning ◽  
Urban Areas ◽  
Road Network ◽  
Flood Hazard ◽  
Geographical Information ◽  
Primary Data ◽  
Simple Method ◽  
Burned Areas ◽  
Flood Hazard Assessment

This study proposes a simple method to produce a flood hazard assessment map in burned and urban areas, where primary data are scarce. The study area is a municipal unit of Nea Makri, a coastal part of the eastern Attica peninsula (central Greece), which has been strongly urbanized and suffered damage from urban fires in 2018. Six factors were considered as the parameters most controlling runoff when it overdraws the drainage system’s capacity. The analytical hierarchy process (AHP) method and a geographical information system (GIS) were utilized to create the flood hazard assessment map. The outcome revealed that the areas with highest flood hazard are distributed in the eastern and southern parts of the study area, as a result of the combination of lowlands with gentle slopes, torrential behavior of the streams, streams covered by construction, increasing urbanization and burned areas. The uncertainty and the verification analyses demonstrate a robust behavior for the model predictions, as well as reliability and accuracy of the map. Comparing the existing urban fabric and road network to the potential flood hazard areas showed that 80% of the urban areas and 50% of the road network were situated within areas prone to flood. The method may be applied to land use planning projects, flood hazard mitigation and post-fire management.

scholarly journals Flood hazard assessment in large plain basins with a scarce slope in the Pampean Plain, Argentina

2021 ◽  
Vol 193 (4) ◽  
Author(s):  
Guido Borzi ◽  
Alejandro Roig ◽  
Carolina Tanjal ◽  
Lucía Santucci ◽  
Macarena Tejada Tejada ◽  
...  
Keyword(s):  
Hazard Assessment ◽  
Flood Hazard ◽  
Pampean Plain ◽  
Flood Hazard Assessment

scholarly journals Risk Analysis and Flood Hazard Assessment in the Hornád River Basin

2021 ◽  
Vol 656 (1) ◽  
pp. 012010
Author(s):  
M Zeleňáková ◽  
M Šugareková ◽  
P Purcz ◽  
S Gałaś ◽  
M M Portela ◽  
...  
Keyword(s):  
Risk Analysis ◽  
River Basin ◽  
Hazard Assessment ◽  
Flood Hazard ◽  
Flood Hazard Assessment

A structured approach to enhance flood hazard assessment in mountain streams

2011 ◽  
Vol 67 (3) ◽  
pp. 991-1009 ◽  
Author(s):  
B. Mazzorana ◽  
F. Comiti ◽  
S. Fuchs
Keyword(s):  
Hazard Assessment ◽  
Flood Hazard ◽  
Mountain Streams ◽  
Flood Hazard Assessment ◽  
Structured Approach

scholarly journals Compounding effects of sea level rise and fluvial flooding

2017 ◽  
Vol 114 (37) ◽  
pp. 9785-9790 ◽  
Author(s):  
Hamed R. Moftakhari ◽  
Gianfausto Salvadori ◽  
Amir AghaKouchak ◽  
Brett F. Sanders ◽  
Richard A. Matthew
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Hazard Assessment ◽  
Failure Probability ◽  
River Flow ◽  
Flood Hazard ◽  
High Tide ◽  
Probability Method ◽  
Flood Hazards ◽  
Flood Hazard Assessment

Sea level rise (SLR), a well-documented and urgent aspect of anthropogenic global warming, threatens population and assets located in low-lying coastal regions all around the world. Common flood hazard assessment practices typically account for one driver at a time (e.g., either fluvial flooding only or ocean flooding only), whereas coastal cities vulnerable to SLR are at risk for flooding from multiple drivers (e.g., extreme coastal high tide, storm surge, and river flow). Here, we propose a bivariate flood hazard assessment approach that accounts for compound flooding from river flow and coastal water level, and we show that a univariate approach may not appropriately characterize the flood hazard if there are compounding effects. Using copulas and bivariate dependence analysis, we also quantify the increases in failure probabilities for 2030 and 2050 caused by SLR under representative concentration pathways 4.5 and 8.5. Additionally, the increase in failure probability is shown to be strongly affected by compounding effects. The proposed failure probability method offers an innovative tool for assessing compounding flood hazards in a warming climate.

scholarly journals Multi-Mechanism Flood Hazard Assessment: Critical Review of Current Practice and Approaches

2020 ◽  
Author(s):  
Michelle Bensi ◽  
Somayeh Mohammadi ◽  
Shih-Chieh Kao ◽  
Scott T. DeNeale
Keyword(s):  
Hazard Assessment ◽  
Critical Review ◽  
Current Practice ◽  
Flood Hazard ◽  
Flood Hazard Assessment
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