Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1415-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-20-1415-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
20 May 2020
Brief communication |
| 20 May 2020
| 20 May 2020
Brief communication: Comparing hydrological and hydrogeomorphic paradigms for global flood hazard mapping
Giuliano Di Baldassarre
CORRESPONDING AUTHOR
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
IHE – Delft Institute for Water Education, Delft, the Netherlands
CNDS – Centre of Natural Hazards and Disaster Science, Uppsala, Sweden
Fernando Nardi
WARREDOC, University for Foreigners of Perugia, Perugia, Italy
Institute of Environment, Florida International University, Miami, Florida, USA
FEEM – Fondazione Eni Enrico Mattei, Milan, Italy
Antonio Annis
WARREDOC, University for Foreigners of Perugia, Perugia, Italy
Vincent Odongo
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
CNDS – Centre of Natural Hazards and Disaster Science, Uppsala, Sweden
Maria Rusca
Department of Earth Sciences, Uppsala University, Uppsala, Sweden
CNDS – Centre of Natural Hazards and Disaster Science, Uppsala, Sweden
Salvatore Grimaldi
Department for Innovation in Biology, Agro-food and Forest systems (DIBAF), Tuscia University, Viterbo, Italy
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- Human alterations of the global floodplains 1992–2019 A. Rajib et al. 10.1038/s41597-023-02382-x
- Global flood exposure from different sized rivers M. Bernhofen et al. 10.5194/nhess-21-2829-2021
- Evaluation of GPM IMERG satellite precipitation for rainfall–runoff modelling in Great Britain J. Gautam et al. 10.1080/02626667.2024.2394172
- Global riverine flood risk – how do hydrogeomorphic floodplain maps compare to flood hazard maps? S. Lindersson et al. 10.5194/nhess-21-2921-2021
- Copula-based geohazard assessment – case of flood-prone area in Poland A. Perz et al. 10.1016/j.ejrh.2022.101214
- Predictive Modeling of Envelope Flood Extents Using Geomorphic and Climatic‐Hydrologic Catchment Characteristics R. Tavares da Costa et al. 10.1029/2019WR026453
- Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study Z. Li et al. 10.1007/s11069-022-05215-z
- Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin P. Dhote et al. 10.1016/j.jhydrol.2023.129309
- Advancing operational flood forecasting, early warning and risk management with new emerging science: Gaps, opportunities and barriers in Kenya A. Kiptum et al. 10.1111/jfr3.12884
- Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping A. Alipour et al. 10.1016/j.envsoft.2022.105398
- Road criticality assessment to improve commutes during floods H. Chen et al. 10.1016/j.jenvman.2023.119592
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Comparative analysis of performance and mechanisms of flood inundation map generation using Height Above Nearest Drainage Z. Li et al. 10.1016/j.envsoft.2022.105565
- Flood susceptible prediction through the use of geospatial variables and machine learning methods N. Mahdizadeh Gharakhanlou & L. Perez 10.1016/j.jhydrol.2023.129121
- A Geomorphic Approach for Identifying Flash Flood Potential Areas in the East Rapti River Basin of Nepal T. Pangali Sharma et al. 10.3390/ijgi10040247
- Python program for spatial reduction and reconstruction method in flood inundation modelling Y. Zhou et al. 10.1016/j.mex.2021.101527
- The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset A. Rajib et al. 10.1038/s41597-021-01048-w
- Identification of flood‐prone areas with GeoFlood: Lessons learned from the Tiber River case study C. D'Angelo et al. 10.1111/jfr3.12795
- Satellite flood detection integrating hydrogeomorphic and spectral indices C. Samela et al. 10.1080/15481603.2022.2143670
- Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina C. Richardson & R. Beighley 10.3389/frwa.2023.1296434
- Assessing geomorphic floodplain models for large scale coarse resolution 2D flood modelling in data scarce regions F. Peña et al. 10.1016/j.geomorph.2021.107841
- Floodplains in the Anthropocene: A Global Analysis of the Interplay Between Human Population, Built Environment, and Flood Severity M. Mazzoleni et al. 10.1029/2020WR027744
22 citations as recorded by crossref.
- Urban surface water flood modelling – a comprehensive review of current models and future challenges K. Guo et al. 10.5194/hess-25-2843-2021
- Human alterations of the global floodplains 1992–2019 A. Rajib et al. 10.1038/s41597-023-02382-x
- Global flood exposure from different sized rivers M. Bernhofen et al. 10.5194/nhess-21-2829-2021
- Evaluation of GPM IMERG satellite precipitation for rainfall–runoff modelling in Great Britain J. Gautam et al. 10.1080/02626667.2024.2394172
- Global riverine flood risk – how do hydrogeomorphic floodplain maps compare to flood hazard maps? S. Lindersson et al. 10.5194/nhess-21-2921-2021
- Copula-based geohazard assessment – case of flood-prone area in Poland A. Perz et al. 10.1016/j.ejrh.2022.101214
- Predictive Modeling of Envelope Flood Extents Using Geomorphic and Climatic‐Hydrologic Catchment Characteristics R. Tavares da Costa et al. 10.1029/2019WR026453
- Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study Z. Li et al. 10.1007/s11069-022-05215-z
- Evaluating topography-based approaches for fast floodplain mapping in data-scarce complex-terrain regions: Findings from a Himalayan basin P. Dhote et al. 10.1016/j.jhydrol.2023.129309
- Advancing operational flood forecasting, early warning and risk management with new emerging science: Gaps, opportunities and barriers in Kenya A. Kiptum et al. 10.1111/jfr3.12884
- Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping A. Alipour et al. 10.1016/j.envsoft.2022.105398
- Road criticality assessment to improve commutes during floods H. Chen et al. 10.1016/j.jenvman.2023.119592
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Comparative analysis of performance and mechanisms of flood inundation map generation using Height Above Nearest Drainage Z. Li et al. 10.1016/j.envsoft.2022.105565
- Flood susceptible prediction through the use of geospatial variables and machine learning methods N. Mahdizadeh Gharakhanlou & L. Perez 10.1016/j.jhydrol.2023.129121
- A Geomorphic Approach for Identifying Flash Flood Potential Areas in the East Rapti River Basin of Nepal T. Pangali Sharma et al. 10.3390/ijgi10040247
- Python program for spatial reduction and reconstruction method in flood inundation modelling Y. Zhou et al. 10.1016/j.mex.2021.101527
- The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset A. Rajib et al. 10.1038/s41597-021-01048-w
- Identification of flood‐prone areas with GeoFlood: Lessons learned from the Tiber River case study C. D'Angelo et al. 10.1111/jfr3.12795
- Satellite flood detection integrating hydrogeomorphic and spectral indices C. Samela et al. 10.1080/15481603.2022.2143670
- Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina C. Richardson & R. Beighley 10.3389/frwa.2023.1296434
- Assessing geomorphic floodplain models for large scale coarse resolution 2D flood modelling in data scarce regions F. Peña et al. 10.1016/j.geomorph.2021.107841
Latest update: 30 May 2025
Short summary
Global floodplain mapping has rapidly progressed over the past few years. Different methods have been proposed to identify areas prone to river flooding, resulting in a plethora of available products. Here we assess the potential and limitations of two main paradigms and provide guidance on the use of these global products in assessing flood risk in data-poor regions.
Global floodplain mapping has rapidly progressed over the past few years. Different methods have...
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