Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-1071-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-1071-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Mar 2021
Research article |
| 23 Mar 2021
| 23 Mar 2021
The uncertainty of flood frequency analyses in hydrodynamic model simulations
Xudong Zhou
CORRESPONDING AUTHOR
Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8505, Japan
Wenchao Ma
Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8505, Japan
Wataru Echizenya
Corporate Planning Department, MS&AD InterRisk Research & Consulting, Inc., 2-105, Kanda Awajicho, Chiyoda-ku, Tokyo 101-0063, Japan
Dai Yamazaki
Institute of Industrial Science, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo 153-8505, Japan
Viewed
Total article views: 6,056 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,425 | 1,532 | 99 | 6,056 | 275 | 136 | 149 |
- HTML: 4,425
- PDF: 1,532
- XML: 99
- Total: 6,056
- Supplement: 275
- BibTeX: 136
- EndNote: 149
Total article views: 5,188 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Mar 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,009 | 1,089 | 90 | 5,188 | 275 | 114 | 120 |
- HTML: 4,009
- PDF: 1,089
- XML: 90
- Total: 5,188
- Supplement: 275
- BibTeX: 114
- EndNote: 120
Total article views: 868 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Aug 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 416 | 443 | 9 | 868 | 22 | 29 |
- HTML: 416
- PDF: 443
- XML: 9
- Total: 868
- BibTeX: 22
- EndNote: 29
Viewed (geographical distribution)
Total article views: 6,056 (including HTML, PDF, and XML)
Thereof 5,777 with geography defined
and 279 with unknown origin.
Total article views: 5,188 (including HTML, PDF, and XML)
Thereof 5,031 with geography defined
and 157 with unknown origin.
Total article views: 868 (including HTML, PDF, and XML)
Thereof 746 with geography defined
and 122 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
36 citations as recorded by crossref.
- Trend Analysis of Discharge and Water Level Changes in the Fluctuating Backwater Area G. Zhang et al.
- Effect of streamflow measurement error on flood frequency estimation N. Velásquez & W. Krajewski
- Significance of different probability distributions in flood frequency analysis of Brahmani-Baitarani River Basin, India R. Khwairakpam & S. Kundu
- Can Flash Flood Risk Index Be an Early Warning Signal of Flash Floods in Ungauged Basin? K. Guo et al.
- Socioeconomic predictors of vulnerability to flood-induced displacement B. Mester et al.
- Flood volume allocation method for flood hazard mapping using river model with levee scheme M. Aslam et al.
- Substantial increase in future fluvial flood risk projected in China’s major urban agglomerations R. Jiang et al.
- Global flood exposure from different sized rivers M. Bernhofen et al.
- Emulating the estuarine morphology evolution using a deep convolutional neural network emulator based on hydrodynamic results of a numerical model W. Weber de Melo et al.
- Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al.
- Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa A. Carr et al.
- Sea level rise amplifies fluvial flooding in coastal megacities: a multi-scenario analysis P. Modi et al.
- A multi-scenario framework for quantifying flood hazard and exposure accounting for runoff-driven uncertainty in global flood models J. Parmar & S. Karmakar
- Advancing global river hydrodynamics simulations by catchment-based macro-scale floodplain modeling approach D. Yamazaki
- A non-uniform grid approach for high-resolution flood inundation simulation based on GPUs J. Wang et al.
- Probabilistic urban flood risk assessment of multi-sectoral economic losses due to levee overtopping M. Farid et al.
- Understanding Complex Processes of Flood Inundation in a Regulated Coastal Lowland River: A Modelling Framework Integrating Hydrological, Hydraulic, Tidal and Geomorphic Data Z. Beg et al.
- Robust Flood Risk Management Strategies Through Bayesian Estimation and Multi-objective Optimization Z. Sobhaniyeh et al.
- Evaluating Flood Extent Using Synthetic Aperture Radar (SAR) and Modified Normalized Difference Water Index (MNDWI) Methods G. Tassew et al.
- Need for judicious selection of runoff inputs in a global flood model J. Parmar et al.
- An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States B. Guido et al.
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al.
- Evaluation of river flood extent simulated with multiple global hydrological models and climate forcings B. Mester et al.
- Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al.
- Shifting dominant periods in extreme climate impacts under global warming K. Zantout et al.
- Verification of the Usability of Global River Inundation Model Output for Hazard Maps in Japan Y. KITA & D. YAMAZAKI
- Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al.
- Assessment of the structural uncertainty of hydrological models and its impact on flood inundation mapping I. Dasari & V. Vema
- A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al.
- Projecting climate and socioeconomic contributions to global flood-induced displacements using a data-driven approach L. Del Rio Amador et al.
- Flash flood risk mapping using analytic hierarchy process and machine learning: case of Souk-Ahras City, Northeastern Algeria M. Elhadi et al.
- Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision T. Hascoet et al.
- Comparative Evaluation of Global Flood Hazard Maps and Recommendations for Corporate Practice Y. HIRABAYASHI et al.
- Uncertainty of internal climate variability in probabilistic flood simulations using d4PDF Y. Kita & D. Yamazaki
- Analysis and comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS R. Jiang et al.
- Bridging the watershed–urban disconnect: a mixed-methods analysis of flood-risk perception and preparedness in Sindh, Pakistan W. Suyuhan & A. Khoso
36 citations as recorded by crossref.
- Trend Analysis of Discharge and Water Level Changes in the Fluctuating Backwater Area G. Zhang et al.
- Effect of streamflow measurement error on flood frequency estimation N. Velásquez & W. Krajewski
- Significance of different probability distributions in flood frequency analysis of Brahmani-Baitarani River Basin, India R. Khwairakpam & S. Kundu
- Can Flash Flood Risk Index Be an Early Warning Signal of Flash Floods in Ungauged Basin? K. Guo et al.
- Socioeconomic predictors of vulnerability to flood-induced displacement B. Mester et al.
- Flood volume allocation method for flood hazard mapping using river model with levee scheme M. Aslam et al.
- Substantial increase in future fluvial flood risk projected in China’s major urban agglomerations R. Jiang et al.
- Global flood exposure from different sized rivers M. Bernhofen et al.
- Emulating the estuarine morphology evolution using a deep convolutional neural network emulator based on hydrodynamic results of a numerical model W. Weber de Melo et al.
- Quantitative evaluation of flood damage methodologies under a portfolio of adaptation scenarios J. Boulange et al.
- Using global datasets to estimate flood exposure at the city scale: an evaluation in Addis Ababa A. Carr et al.
- Sea level rise amplifies fluvial flooding in coastal megacities: a multi-scenario analysis P. Modi et al.
- A multi-scenario framework for quantifying flood hazard and exposure accounting for runoff-driven uncertainty in global flood models J. Parmar & S. Karmakar
- Advancing global river hydrodynamics simulations by catchment-based macro-scale floodplain modeling approach D. Yamazaki
- A non-uniform grid approach for high-resolution flood inundation simulation based on GPUs J. Wang et al.
- Probabilistic urban flood risk assessment of multi-sectoral economic losses due to levee overtopping M. Farid et al.
- Understanding Complex Processes of Flood Inundation in a Regulated Coastal Lowland River: A Modelling Framework Integrating Hydrological, Hydraulic, Tidal and Geomorphic Data Z. Beg et al.
- Robust Flood Risk Management Strategies Through Bayesian Estimation and Multi-objective Optimization Z. Sobhaniyeh et al.
- Evaluating Flood Extent Using Synthetic Aperture Radar (SAR) and Modified Normalized Difference Water Index (MNDWI) Methods G. Tassew et al.
- Need for judicious selection of runoff inputs in a global flood model J. Parmar et al.
- An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States B. Guido et al.
- A comparison of global flood models using Sentinel-1 and a change detection approach A. Risling et al.
- Evaluation of river flood extent simulated with multiple global hydrological models and climate forcings B. Mester et al.
- Methodology for constructing a flood-hazard map for a future climate Y. Kimura et al.
- Shifting dominant periods in extreme climate impacts under global warming K. Zantout et al.
- Verification of the Usability of Global River Inundation Model Output for Hazard Maps in Japan Y. KITA & D. YAMAZAKI
- Inundation prediction in tropical wetlands from JULES-CaMa-Flood global land surface simulations T. Marthews et al.
- Assessment of the structural uncertainty of hydrological models and its impact on flood inundation mapping I. Dasari & V. Vema
- A first continuous and distributed satellite-based mapping of river discharge over the Amazon V. Pellet et al.
- Projecting climate and socioeconomic contributions to global flood-induced displacements using a data-driven approach L. Del Rio Amador et al.
- Flash flood risk mapping using analytic hierarchy process and machine learning: case of Souk-Ahras City, Northeastern Algeria M. Elhadi et al.
- Learning Global Evapotranspiration Dataset Corrections from a Water Cycle Closure Supervision T. Hascoet et al.
- Comparative Evaluation of Global Flood Hazard Maps and Recommendations for Corporate Practice Y. HIRABAYASHI et al.
- Uncertainty of internal climate variability in probabilistic flood simulations using d4PDF Y. Kita & D. Yamazaki
- Analysis and comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS R. Jiang et al.
- Bridging the watershed–urban disconnect: a mixed-methods analysis of flood-risk perception and preparedness in Sindh, Pakistan W. Suyuhan & A. Khoso
Saved (final revised paper)
Latest update: 14 May 2026
Short summary
This article assesses different uncertainties in the analysis of flood risk and found the runoff generated before the river routing is the primary uncertainty source. This calls for attention to be focused on selecting an appropriate runoff for the flood analysis. The uncertainties are reflected in the flood water depth, inundation area and the exposure of the population and economy to the floods.
This article assesses different uncertainties in the analysis of flood risk and found the runoff...
Altmetrics
Final-revised paper
Preprint