scholarly journals Detailed data is welcome, but with a pinch of salt: Accuracy, precision, and uncertainty in flood inundation modeling

2013 ◽  
Vol 49 (9) ◽  
pp. 6079-6085 ◽  
Author(s):  
F. Dottori ◽  
G. Di Baldassarre ◽  
E. Todini
Keyword(s):  
Flood Inundation ◽  
Detailed Data ◽  
Flood Inundation Modeling ◽  
Inundation Modeling

scholarly journals Flood Risk Management Methodology for Lakes and Adjacent Areas: The Lake Pamvotida Paradigm

Proceedings ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 21
Author(s):  
George Papaioannou ◽  
Athanasios Loukas ◽  
Lampros Vasiliades
Keyword(s):  
Risk Management ◽  
Natural Hazards ◽  
Flood Risk ◽  
Urban Areas ◽  
Hydrologic Modeling ◽  
Flood Risk Management ◽  
Flood Inundation ◽  
Hydrodynamic Simulations ◽  
Flood Inundation Modeling ◽  
Inundation Modeling

In recent decades, natural hazards have caused major disasters in natural and man-made environments. Floods are one of the most devasting natural hazards, with high levels of mortality, destruction of infrastructure, and large financial losses. This study presents a methodological approach for flood risk management at lakes and adjacent areas that is based on the implementation of the EU Floods Directive (2007/60/EC) in Greece. Contemporary engineering approaches have been used for the estimation of the inflow hydrographs. The hydraulic–hydrodynamic simulations were implemented in the following order: (a) hydrologic modeling of lake tributaries and estimation flood flow inflow to the lake, (b) flood inundation modeling of lake tributaries, (c) simulation of the lake as a closed system, (d) simulation of the lake outflows to the adjacent areas, and (e) simulation of flood inundation of rural and urban areas adjacent to the lake. The hydrologic modeling was performed using the HEC-HMS model, and the hydraulic-hydrodynamic simulations were implemented with the use of the two-dimensional HEC-RAS model. The simulations were applied to three soil moisture conditions (dry, medium and wet) and three return periods (T = 50, T = 100 and T = 1000 years) and a methodology was followed for the flood inundation modeling in urban areas. Upper and lower estimates on water depths, flow velocities and inundation areas are estimated for all inflow hydrographs and for varying roughness coefficient values. The proposed methodology presents the necessary steps and the results for the assessment of flood risk management and mapping for lake and adjacent urban and rural areas. The methodology was applied to Lake Pamvotida in Epirus, Greece, Ioannina.

Artificial neural network based hybrid modeling approach for flood inundation modeling

2021 ◽  
Vol 592 ◽  
pp. 125605
Author(s):  
Shuai Xie ◽  
Wenyan Wu ◽  
Sebastian Mooser ◽  
Q.J. Wang ◽  
Rory Nathan ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Hybrid Modeling ◽  
Flood Inundation ◽  
Modeling Approach ◽  
Artificial Neural ◽  
Flood Inundation Modeling ◽  
Inundation Modeling
Sign in / Sign up

Export Citation Format

Share Document