Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3261-2020
© Author(s) 2020. 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-20-3261-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed
María Teresa Contreras
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, 7820436, Santiago, Chile
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN), Santiago, Chile
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, USA
Jorge Gironás
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, 7820436, Santiago, Chile
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN), Santiago, Chile
Centro de Desarrollo Urbano Sustentable (CEDEUS), Santiago, Chile
Centro Interdisciplinario de Cambio Global, Pontificia Universidad Católica de Chile, Santiago, Chile
Cristián Escauriaza
CORRESPONDING AUTHOR
Departamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, 7820436, Santiago, Chile
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN), Santiago, Chile
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Cited
15 citations as recorded by crossref.
- Hydraulic modelling of inland urban flooding: Recent advances E. Mignot & B. Dewals 10.1016/j.jhydrol.2022.127763
- Anthropogenic effects on flood hazards in a hyper‐arid watershed: The 2015 Atacama floods M. Contreras et al. 10.1002/esp.6017
- Flood Simulation in the Complex River Basin Affected by Hydraulic Structures Using a Coupled Hydrological and Hydrodynamic Model K. Zhang et al. 10.3390/w16172383
- Applications of Advanced Technologies in the Development of Urban Flood Models Y. Yan et al. 10.3390/w15040622
- A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao L. Xu & L. Gao 10.1016/j.jhydrol.2024.131863
- Urban inundation mapping by coupling 1D − 2D models and model comparison Y. Li et al. 10.1016/j.jag.2024.103869
- An Unmanned Surface Vehicle (USV): Development of an Autonomous Boat with a Sensor Integration System for Bathymetric Surveys F. Sotelo-Torres et al. 10.3390/s23094420
- Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps J. Gutenson et al. 10.5194/nhess-23-261-2023
- Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China E. Jin et al. 10.1007/s00477-023-02553-7
- Gaussian process regression on multiple drivers and attributes for rapid prediction of maximum flood inundation extent and depth W. Wang et al. 10.1016/j.jhydrol.2024.132476
- A Rapid Prediction Model of Urban Flood Inundation in a High-Risk Area Coupling Machine Learning and Numerical Simulation Approaches X. Yan et al. 10.1007/s13753-021-00384-0
- Suspended sedimentary dynamics under Mediterranean semi-arid environment of Wadi El Maleh watershed, Algeria O. Benselama et al. 10.1007/s40808-021-01133-4
- Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Simulations N. Fraehr et al. 10.1029/2022WR033836
- Computationally Efficient Adaptive Design of Experiments for Global Metamodeling through Integrated Error Approximation and Multicriteria Search Strategies S. Yi & A. Taflanidis 10.1061/JENMDT.EMENG-7083
- Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas H. Ren et al. 10.1016/j.watres.2024.122816
14 citations as recorded by crossref.
- Hydraulic modelling of inland urban flooding: Recent advances E. Mignot & B. Dewals 10.1016/j.jhydrol.2022.127763
- Anthropogenic effects on flood hazards in a hyper‐arid watershed: The 2015 Atacama floods M. Contreras et al. 10.1002/esp.6017
- Flood Simulation in the Complex River Basin Affected by Hydraulic Structures Using a Coupled Hydrological and Hydrodynamic Model K. Zhang et al. 10.3390/w16172383
- Applications of Advanced Technologies in the Development of Urban Flood Models Y. Yan et al. 10.3390/w15040622
- A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao L. Xu & L. Gao 10.1016/j.jhydrol.2024.131863
- Urban inundation mapping by coupling 1D − 2D models and model comparison Y. Li et al. 10.1016/j.jag.2024.103869
- An Unmanned Surface Vehicle (USV): Development of an Autonomous Boat with a Sensor Integration System for Bathymetric Surveys F. Sotelo-Torres et al. 10.3390/s23094420
- Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps J. Gutenson et al. 10.5194/nhess-23-261-2023
- Hydrometeorological-modeling-based analysis and risk assessment of a torrential rainfall flash flood in a data deficient area in Wenchuan County, Sichuan Province, China E. Jin et al. 10.1007/s00477-023-02553-7
- Gaussian process regression on multiple drivers and attributes for rapid prediction of maximum flood inundation extent and depth W. Wang et al. 10.1016/j.jhydrol.2024.132476
- A Rapid Prediction Model of Urban Flood Inundation in a High-Risk Area Coupling Machine Learning and Numerical Simulation Approaches X. Yan et al. 10.1007/s13753-021-00384-0
- Suspended sedimentary dynamics under Mediterranean semi-arid environment of Wadi El Maleh watershed, Algeria O. Benselama et al. 10.1007/s40808-021-01133-4
- Development of a Fast and Accurate Hybrid Model for Floodplain Inundation Simulations N. Fraehr et al. 10.1029/2022WR033836
- Computationally Efficient Adaptive Design of Experiments for Global Metamodeling through Integrated Error Approximation and Multicriteria Search Strategies S. Yi & A. Taflanidis 10.1061/JENMDT.EMENG-7083
Latest update: 13 Dec 2024
Short summary
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on...
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