Estimation of uncertainty propagation in flood inundation mapping using a 1-D hydraulic model

2014 ◽  
Vol 29 (4) ◽  
pp. 624-640 ◽  
Author(s):  
Younghun Jung ◽  
Venkatesh Merwade
Keyword(s):  
Uncertainty Propagation ◽  
Hydraulic Model ◽  
Flood Inundation ◽  
Inundation Mapping ◽  
Flood Inundation Mapping ◽  
Estimation Of Uncertainty

scholarly journals Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling

2017 ◽  
Vol 44 ◽  
pp. 23-34 ◽  
Author(s):  
George Papaioannou ◽  
Lampros Vasiliades ◽  
Athanasios Loukas ◽  
Giuseppe T. Aronica
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Hydraulic Model ◽  
Data Uncertainty ◽  
Percentage Error ◽  
Hazard Mapping ◽  
Roughness Coefficient ◽  
Flood Inundation ◽  
Inundation Mapping ◽  
Flood Inundation Mapping

Abstract. Probabilistic flood inundation mapping is performed and analysed at the ungauged Xerias stream reach, Volos, Greece. The study evaluates the uncertainty introduced by the roughness coefficient values on hydraulic models in flood inundation modelling and mapping. The well-established one-dimensional (1-D) hydraulic model, HEC-RAS is selected and linked to Monte-Carlo simulations of hydraulic roughness. Terrestrial Laser Scanner data have been used to produce a high quality DEM for input data uncertainty minimisation and to improve determination accuracy on stream channel topography required by the hydraulic model. Initial Manning's n roughness coefficient values are based on pebble count field surveys and empirical formulas. Various theoretical probability distributions are fitted and evaluated on their accuracy to represent the estimated roughness values. Finally, Latin Hypercube Sampling has been used for generation of different sets of Manning roughness values and flood inundation probability maps have been created with the use of Monte Carlo simulations. Historical flood extent data, from an extreme historical flash flood event, are used for validation of the method. The calibration process is based on a binary wet-dry reasoning with the use of Median Absolute Percentage Error evaluation metric. The results show that the proposed procedure supports probabilistic flood hazard mapping at ungauged rivers and provides water resources managers with valuable information for planning and implementing flood risk mitigation strategies.

A Comparison of Rapid DTM Based Approaches for on-Demand Flood Inundation Mapping

2018 ◽  
Author(s):  
Heather McGrath ◽  
Jean-Samuel Proulx-Bourque ◽  
Jean-Francois Bourgon ◽  
Miroslav Nastev ◽  
Ahmed Abo El Ezz
Keyword(s):  
Flood Inundation ◽  
On Demand ◽  
Inundation Mapping ◽  
Flood Inundation Mapping

scholarly journals Dam break analysis and flood inundation mapping using HEC-RAS for piping failure

2020 ◽  
Vol 8 (5) ◽  
pp. 1989-1992
Author(s):  
Vinay Khalkho ◽  
Dr. Alex Thomas ◽  
Manmohan Singh ◽  
Shilpi Dadel
Keyword(s):  
Dam Break ◽  
Flood Inundation ◽  
Inundation Mapping ◽  
Flood Inundation Mapping

Intercomparison of Satellite Remote Sensing-Based Flood Inundation Mapping Techniques

2018 ◽  
Vol 54 (4) ◽  
pp. 834-846 ◽  
Author(s):  
Dinuke Munasinghe ◽  
Sagy Cohen ◽  
Yu-Fen Huang ◽  
Yin-Phan Tsang ◽  
Jiaqi Zhang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Flood Inundation ◽  
Inundation Mapping ◽  
Flood Inundation Mapping ◽  
Mapping Techniques
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