Articles | Volume 17, issue 2
https://doi.org/10.5194/nhess-17-205-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-205-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Feb 2017
Research article |
| 16 Feb 2017
Development of high-resolution multi-scale modelling system for simulation of coastal-fluvial urban flooding
Joanne Comer
Civil Engineering, College of Engineering and Informatics, Ryan
Institute, National University of Ireland, Galway, University Road, Galway,
Ireland
Agnieszka Indiana Olbert
CORRESPONDING AUTHOR
Civil Engineering, College of Engineering and Informatics, Ryan
Institute, National University of Ireland, Galway, University Road, Galway,
Ireland
Stephen Nash
Civil Engineering, College of Engineering and Informatics, Ryan
Institute, National University of Ireland, Galway, University Road, Galway,
Ireland
Michael Hartnett
Civil Engineering, College of Engineering and Informatics, Ryan
Institute, National University of Ireland, Galway, University Road, Galway,
Ireland
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Cited
12 citations as recorded by crossref.
- High-resolution multi-scale modelling of coastal flooding due to tides, storm surges and rivers inflows. A Cork City example A. Olbert et al. 10.1016/j.coastaleng.2016.12.006
- A rapid flood inundation model for hazard mapping based on least squares support vector machine regression M. Bermúdez et al. 10.1111/jfr3.12522
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Improvements to the detection and analysis of external surges in the North Sea A. Böhme et al. 10.5194/nhess-23-1947-2023
- Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model M. Uddin et al. 10.1016/j.watres.2024.121499
- Downscaling of real-time coastal flooding predictions for decision support C. Rucker et al. 10.1007/s11069-021-04634-8
- Forecasting of compound ocean-fluvial floods using machine learning S. Moradian et al. 10.1016/j.jenvman.2024.121295
- Developing a hybrid modeling and multivariate analysis framework for storm surge and runoff interactions in urban coastal flooding A. Hasan Tanim & E. Goharian 10.1016/j.jhydrol.2020.125670
- A comprehensive review of compound inundation models in low-gradient coastal watersheds F. Santiago-Collazo et al. 10.1016/j.envsoft.2019.06.002
- Modelling the effects of climate change on urban coastal-fluvial flooding J. Kirkpatrick & A. Olbert 10.2166/wcc.2020.166
- Combined statistical and hydrodynamic modelling of compound flooding in coastal areas - Methodology and application A. Olbert et al. 10.1016/j.jhydrol.2023.129383
- Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta J. Sampurno et al. 10.5194/npg-29-301-2022
12 citations as recorded by crossref.
- High-resolution multi-scale modelling of coastal flooding due to tides, storm surges and rivers inflows. A Cork City example A. Olbert et al. 10.1016/j.coastaleng.2016.12.006
- A rapid flood inundation model for hazard mapping based on least squares support vector machine regression M. Bermúdez et al. 10.1111/jfr3.12522
- Flood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review L. Cea & P. Costabile 10.3390/hydrology9030050
- Improvements to the detection and analysis of external surges in the North Sea A. Böhme et al. 10.5194/nhess-23-1947-2023
- Data-driven evolution of water quality models: An in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index (IEWQI) model M. Uddin et al. 10.1016/j.watres.2024.121499
- Downscaling of real-time coastal flooding predictions for decision support C. Rucker et al. 10.1007/s11069-021-04634-8
- Forecasting of compound ocean-fluvial floods using machine learning S. Moradian et al. 10.1016/j.jenvman.2024.121295
- Developing a hybrid modeling and multivariate analysis framework for storm surge and runoff interactions in urban coastal flooding A. Hasan Tanim & E. Goharian 10.1016/j.jhydrol.2020.125670
- A comprehensive review of compound inundation models in low-gradient coastal watersheds F. Santiago-Collazo et al. 10.1016/j.envsoft.2019.06.002
- Modelling the effects of climate change on urban coastal-fluvial flooding J. Kirkpatrick & A. Olbert 10.2166/wcc.2020.166
- Combined statistical and hydrodynamic modelling of compound flooding in coastal areas - Methodology and application A. Olbert et al. 10.1016/j.jhydrol.2023.129383
- Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta J. Sampurno et al. 10.5194/npg-29-301-2022
Latest update: 14 Dec 2024
Short summary
A state-of-the-art nested flood model (MSN_Flood) is applied to simulate complex coastal-fluvial urban flooding in order to critically examine the model’s capability to forecast evolution of urban inundation. The model demonstrates high accuracy of results without incurring the computational expense of high spatial resolution over the entire model domain. MSN_Flood provides full characteristics of water levels and flow regimes necessary for flood hazard identification and flood risk assessment.
A state-of-the-art nested flood model (MSN_Flood) is applied to simulate complex coastal-fluvial...
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