Flash Flood Hazard Assessment in an Ungauged Piedmont Basin in the Sierras Pampeanas Western Region, Province of Córdoba, Argentina

2017 ◽  
pp. 181-201
Author(s):  
Karina V. Echevarria ◽  
Susana B. Degiovanni ◽  
Mónica T. Blarasin ◽  
M. Jimena Andreazzini
Keyword(s):  
Hazard Assessment ◽  
Flash Flood ◽  
Flood Hazard ◽  
Western Region ◽  
Sierras Pampeanas ◽  
Flood Hazard Assessment

Comparative study on flash flood hazard assessment for Nam Ou River Basin, Lao PDR

2020 ◽  
Vol 102 (3) ◽  
pp. 1393-1417
Author(s):  
Jun Du ◽  
Zhong-jie Fan ◽  
Jian Pu
Keyword(s):  
Comparative Study ◽  
River Basin ◽  
Hazard Assessment ◽  
Flash Flood ◽  
Flood Hazard ◽  
Lao Pdr ◽  
Flood Hazard Assessment

scholarly journals A flash flood hazard assessment in dry valleys (northern France) by cellular automata modelling

2014 ◽  
Vol 75 (3) ◽  
pp. 2905-2929 ◽  
Author(s):  
Johnny Douvinet ◽  
Marco J. Van De Wiel ◽  
Daniel Delahaye ◽  
Etienne Cossart
Keyword(s):  
Cellular Automata ◽  
Hazard Assessment ◽  
Flash Flood ◽  
Flood Hazard ◽  
Dry Valleys ◽  
Northern France ◽  
Flood Hazard Assessment

Flash flood hazard assessment and prioritization of sub-watersheds in Heliopolis basin, East Cairo, Egypt

2021 ◽  
Vol 14 (17) ◽  
Author(s):  
Mohammed AbdAllah El-Fakharany ◽  
Mohammed Nagib Hegazy ◽  
Nehad Mahmoud Mansour ◽  
Amira Mohamed Abdo
Keyword(s):  
Hazard Assessment ◽  
Flash Flood ◽  
Flood Hazard ◽  
Flood Hazard Assessment

scholarly journals Flood Hazard Assessment in Data-Scarce Watersheds Using Model Coupling, Event Sampling, and Survey Data

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2768
Author(s):  
Jorge Hurtado-Pidal ◽  
Juan S. Acero Triana ◽  
Edgar Espitia-Sarmiento ◽  
Fernando Jarrín-Pérez
Keyword(s):  
Hazard Assessment ◽  
Flash Flood ◽  
Flood Hazard ◽  
Model Performance ◽  
System Response ◽  
Storm Events ◽  
Coupled Modeling ◽  
Modeling Framework ◽  
Starting Point ◽  
Flood Hazard Assessment

The application of hydrologic and hydrodynamic models in flash flood hazard assessment is mainly limited by the availability of robust monitoring systems and long-term hydro-meteorological observations. Nevertheless, several studies have demonstrated that coupled modeling approaches based on event sampling (short-term observations) may cope with the lack of observed input data. This study evaluated the use of storm events and flood-survey reports to develop and validate a modeling framework for flash flood hazard assessment in data-scarce watersheds. Specifically, we coupled the hydrologic modeling system (HEC-HMS) and the Nays2Dflood hydrodynamic solver to simulate the system response to several storm events including one, equivalent in magnitude to a 500-year event, that flooded the City of Tena (Ecuador) on 2 September, 2017. Results from the coupled approach showed satisfactory model performance in simulating streamflow and water depths (0.40 ≤ Nash-Sutcliffe coefficient ≤ 0.95; −3.67% ≤ Percent Bias ≤ 23.4%) in six of the eight evaluated events, and a good agreement between simulated and surveyed flooded areas (Fit Index = 0.8) after the 500-year storm. The proposed methodology can be used by modelers and decision-makers for flood impact assessment in data-scarce watersheds and as a starting point for the establishment of flood forecasting systems to lessen the impacts of flood events at the local scale.

scholarly journals Flood Hazard Assessment and Decisions Support Using Geographic Information System: A Case Study of Uyo Capital City, Akwa Ibom State, Nigeria

2014 ◽  
Vol 3 (4) ◽  
pp. 56-67
Author(s):  
Uwem J Ituen ◽  
Imoh Johnson ◽  
Ndifreke Nyah
Keyword(s):  
Hazard Assessment ◽  
Flood Control ◽  
Flash Flood ◽  
Flood Hazard ◽  
Geographic Information ◽  
Control Measures ◽  
Capital City ◽  
Map Algebra ◽  
Adequate Knowledge ◽  
Flood Hazard Assessment

The study aimed at assessing flood prone areas in Uyo Capital City with a view to suggesting control measures. It used 2008 NigerSat imagery, soil texture, rainfall, and road network data of Uyo. With Multi-criteria evaluation technique, the use of Geographic Information Systems (GIS), Global Positioning System (GPS), Digital Elevation Model (DEM) and single output map algebra were employed to generate flood hazard map of Uyo. The DEM was used to generate contours, terrain elevation, slope, and aspect surfaces, where aspect provided the direction of slope that contributed to flood inundation. Flood mapping was done to determine flood locations based on a 3D terrain assessment while flood hazard assessment formed the basis for flood control in the area. From the result of the study, flood hazard areas in Uyo Capital City were identified and classified into high, moderate, and low hazard zones. Based on this classification however, flood control measures have also been rated as critical, less critical, and non-critical respectively. Out of the 25 flood locations captured during the 2012 flash flood event, twelve locations were found on the critical control zones while thirteen were found on the less critical control zones. Based on the findings from this study, it was however suggested that town planners, construction companies and individuals should work in consultation with Geographers, Hydrologists and other stakeholders in the field who have adequate knowledge of the terrain and the technical ability in flood hazard modeling. Additionally, non-structural flood control measures have also been strongly advocated for implementation in the capital city of Uyo.

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

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
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