Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-2219-2017
© 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/hess-21-2219-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Apr 2017
Research article |
| 26 Apr 2017
Topography- and nightlight-based national flood risk assessment in Canada
Department of Civil, Geological, and Environmental Engineering,
University of Saskatchewan, Saskatoon, Canada
Global Institute for Water Security, University of Saskatchewan,
Saskatoon, Canada
Raja Bharath
Department of Civil, Geological, and Environmental Engineering,
University of Saskatchewan, Saskatoon, Canada
Anchit Lakhanpal
Department of Civil, Geological, and Environmental Engineering,
University of Saskatchewan, Saskatoon, Canada
Serena Ceola
Department of Civil, Chemical, Environmental, and Materials
Engineering, University of Bologna, Bologna, Italy
Alberto Montanari
Department of Civil, Chemical, Environmental, and Materials
Engineering, University of Bologna, Bologna, Italy
Karl-Erich Lindenschmidt
Global Institute for Water Security, University of Saskatchewan,
Saskatoon, Canada
School of Environment and Sustainability, University of Saskatchewan, Saskatoon, Canada
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Cited
19 citations as recorded by crossref.
- Quantifying flood risks during monsoon and post-monsoon seasons: An integrated framework for resource-constrained coastal regions D. Thakur et al. 10.1016/j.jhydrol.2024.130683
- Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2020.143559
- Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2021.148323
- Implications of disclosure and non-disclosure of flood hazard maps – a synthesis for the Canadian context T. Lyle et al. 10.1080/07011784.2023.2287462
- A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China J. Yu et al. 10.1016/j.ejrh.2023.101434
- Fidelity of reanalysis datasets in floodplain mapping: Investigating performance at inundation level over large regions M. Mohanty & S. Simonovic 10.1016/j.jhydrol.2020.125757
- Improving the representation of the non-contributing area dynamics in land surface models for better simulation of prairie hydrology M. Ahmed et al. 10.1016/j.jhydrol.2021.126562
- Development of a mapping approach encompassing most fluvial processes: Lessons learned from the freedom space for rivers concept in Quebec (Canada) S. Massé et al. 10.1002/rra.3567
- Spatio-temporal dynamics of water-related disaster risk in the Yangtze River Economic Belt from 2000 to 2015 L. Peng et al. 10.1016/j.resconrec.2020.104851
- Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models J. Chen et al. 10.1016/j.jenvman.2021.112810
- Changes in social vulnerability to flooding: a quasi-experimental analysis J. Darlington et al. 10.1007/s11069-021-05145-2
- Flood mapping under uncertainty: a case study in the Canadian prairies R. Bharath & A. Elshorbagy 10.1007/s11069-018-3401-1
- Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study D. Rincón et al. 10.3390/geosciences8080275
- Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models Z. Liu et al. 10.1111/jfr3.12347
- Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China Z. Li et al. 10.3390/land10080878
- An integrated approach to modeling the impact of floods on emergency services: A case study of Calgary, Alberta M. Tsang & D. Scott 10.1016/j.jtrangeo.2020.102774
- Data-driven flood hazard zonation of Italy I. Marchesini et al. 10.1016/j.jenvman.2021.112986
- Meta-analysis based predictions of flood insurance and flood vulnerability patterns in Calgary, Alberta N. Yiannakoulias et al. 10.1016/j.apgeog.2018.05.007
- Limitations Posed by Free DEMs in Watershed Studies: The Case of River Tanaro in Italy R. Tavares da Costa et al. 10.3389/feart.2019.00141
19 citations as recorded by crossref.
- Quantifying flood risks during monsoon and post-monsoon seasons: An integrated framework for resource-constrained coastal regions D. Thakur et al. 10.1016/j.jhydrol.2024.130683
- Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2020.143559
- Changes in floodplain regimes over Canada due to climate change impacts: Observations from CMIP6 models M. Mohanty & S. Simonovic 10.1016/j.scitotenv.2021.148323
- Implications of disclosure and non-disclosure of flood hazard maps – a synthesis for the Canadian context T. Lyle et al. 10.1080/07011784.2023.2287462
- A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China J. Yu et al. 10.1016/j.ejrh.2023.101434
- Fidelity of reanalysis datasets in floodplain mapping: Investigating performance at inundation level over large regions M. Mohanty & S. Simonovic 10.1016/j.jhydrol.2020.125757
- Improving the representation of the non-contributing area dynamics in land surface models for better simulation of prairie hydrology M. Ahmed et al. 10.1016/j.jhydrol.2021.126562
- Development of a mapping approach encompassing most fluvial processes: Lessons learned from the freedom space for rivers concept in Quebec (Canada) S. Massé et al. 10.1002/rra.3567
- Spatio-temporal dynamics of water-related disaster risk in the Yangtze River Economic Belt from 2000 to 2015 L. Peng et al. 10.1016/j.resconrec.2020.104851
- Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models J. Chen et al. 10.1016/j.jenvman.2021.112810
- Changes in social vulnerability to flooding: a quasi-experimental analysis J. Darlington et al. 10.1007/s11069-021-05145-2
- Flood mapping under uncertainty: a case study in the Canadian prairies R. Bharath & A. Elshorbagy 10.1007/s11069-018-3401-1
- Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study D. Rincón et al. 10.3390/geosciences8080275
- Investigating the role of model structure and surface roughness in generating flood inundation extents using one‐ and two‐dimensional hydraulic models Z. Liu et al. 10.1111/jfr3.12347
- Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China Z. Li et al. 10.3390/land10080878
- An integrated approach to modeling the impact of floods on emergency services: A case study of Calgary, Alberta M. Tsang & D. Scott 10.1016/j.jtrangeo.2020.102774
- Data-driven flood hazard zonation of Italy I. Marchesini et al. 10.1016/j.jenvman.2021.112986
- Meta-analysis based predictions of flood insurance and flood vulnerability patterns in Calgary, Alberta N. Yiannakoulias et al. 10.1016/j.apgeog.2018.05.007
- Limitations Posed by Free DEMs in Watershed Studies: The Case of River Tanaro in Italy R. Tavares da Costa et al. 10.3389/feart.2019.00141
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
Flood mapping is one of Canada's major national interests. This work presents a simple and effective method for large-scale flood hazard and risk mapping, applied in this study to Canada. Readily available data, such as remote sensing night-light data, topography, and stream network were used to create the maps.
Flood mapping is one of Canada's major national interests. This work presents a simple and...
