Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2615-2017
© 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-21-2615-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimating extreme river discharges in Europe through a Bayesian network
Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 11, 2628 CN Delft, the Netherlands
Oswaldo Morales-Nápoles
Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 11, 2628 CN Delft, the Netherlands
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Cited
30 citations as recorded by crossref.
- Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks M. Flores et al.
- Flash floods in Mediterranean catchments: a meta-model decision support system based on Bayesian networks R. Ropero et al.
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al.
- The influence of spatial variation on the design of foundations of immersed tunnels: Advanced probabilistic analysis C. ’t Hart et al.
- Probabilistic Estimation of Primary Ship-Induced Wave Heights at Estuary Groins Using a Nonparametric Bayesian Network S. Memar et al.
- BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks D. Paprotny et al.
- A Stepwise and Dynamic C-Vine Copula–Based Approach for Nonstationary Monthly Streamflow Forecasts P. Xu et al.
- Trends in flood losses in Europe over the past 150 years D. Paprotny et al.
- Revealing the key factors associated with acne development and treatment with a fixed combination adapalene + metronidazole I. Khismatulina et al.
- Applying non-parametric Bayesian networks to estimate maximum daily river discharge: potential and challenges E. Ragno et al.
- Structured Expert Elicitation of Dependence Between River Tributaries Using Nonparametric Bayesian Networks G. Rongen et al.
- Ecological Restoration as a Means of Managing Inland Flood Hazards C. Nilsson et al.
- 500-Year Records Demonstrating a Sharp Increase in Intensities of Three Natural Hazards at Multiple Spatiotemporal Scales in China Z. Wang et al.
- Flood-Triggering Rainfall and Potential Losses—The Copula-Based Approach on the Example of the Upper Nysa Kłodzka River A. Perz et al.
- A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas A. Couasnon et al.
- A Method of Emergent Event Evolution Reasoning Based on Ontology Cluster and Bayesian Network S. Li et al.
- Exploring the uncertainty of weather generators’ extreme estimates in different practical available information scenarios C. Beneyto et al.
- Copula-based geohazard assessment – case of flood-prone area in Poland A. Perz et al.
- Behaviour of the 2010 flood in Lithuania: management and socio-economic risks M. D. et al.
- Efficient pan-European river flood hazard modelling through a combination of statistical and physical models D. Paprotny et al.
- Pan-European hydrodynamic models and their ability to identify compound floods D. Paprotny et al.
- Evaluation of speech perception deficit compensation in patients with hearing loss M. Boboshko et al.
- Modeling Semiarid River–Aquifer Systems with Bayesian Networks and Artificial Neural Networks A. Maldonado et al.
- On the Use of Weather Generators for the Estimation of Low-Frequency Floods under a Changing Climate C. Beneyto et al.
- Bayesian Networks for Preprocessing Water Management Data R. Ropero et al.
- Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis P. Terefenko et al.
- A combined hydrological and hydraulic modelling approach for the flood hazard mapping of the Po river basin R. Nogherotto et al.
- Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration N. Pyko et al.
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al.
- The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest M. Bogachev et al.
30 citations as recorded by crossref.
- Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks M. Flores et al.
- Flash floods in Mediterranean catchments: a meta-model decision support system based on Bayesian networks R. Ropero et al.
- Merging modelled and reported flood impacts in Europe in a combined flood event catalogue for 1950–2020 D. Paprotny et al.
- The influence of spatial variation on the design of foundations of immersed tunnels: Advanced probabilistic analysis C. ’t Hart et al.
- Probabilistic Estimation of Primary Ship-Induced Wave Heights at Estuary Groins Using a Nonparametric Bayesian Network S. Memar et al.
- BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks D. Paprotny et al.
- A Stepwise and Dynamic C-Vine Copula–Based Approach for Nonstationary Monthly Streamflow Forecasts P. Xu et al.
- Trends in flood losses in Europe over the past 150 years D. Paprotny et al.
- Revealing the key factors associated with acne development and treatment with a fixed combination adapalene + metronidazole I. Khismatulina et al.
- Applying non-parametric Bayesian networks to estimate maximum daily river discharge: potential and challenges E. Ragno et al.
- Structured Expert Elicitation of Dependence Between River Tributaries Using Nonparametric Bayesian Networks G. Rongen et al.
- Ecological Restoration as a Means of Managing Inland Flood Hazards C. Nilsson et al.
- 500-Year Records Demonstrating a Sharp Increase in Intensities of Three Natural Hazards at Multiple Spatiotemporal Scales in China Z. Wang et al.
- Flood-Triggering Rainfall and Potential Losses—The Copula-Based Approach on the Example of the Upper Nysa Kłodzka River A. Perz et al.
- A Copula-Based Bayesian Network for Modeling Compound Flood Hazard from Riverine and Coastal Interactions at the Catchment Scale: An Application to the Houston Ship Channel, Texas A. Couasnon et al.
- A Method of Emergent Event Evolution Reasoning Based on Ontology Cluster and Bayesian Network S. Li et al.
- Exploring the uncertainty of weather generators’ extreme estimates in different practical available information scenarios C. Beneyto et al.
- Copula-based geohazard assessment – case of flood-prone area in Poland A. Perz et al.
- Behaviour of the 2010 flood in Lithuania: management and socio-economic risks M. D. et al.
- Efficient pan-European river flood hazard modelling through a combination of statistical and physical models D. Paprotny et al.
- Pan-European hydrodynamic models and their ability to identify compound floods D. Paprotny et al.
- Evaluation of speech perception deficit compensation in patients with hearing loss M. Boboshko et al.
- Modeling Semiarid River–Aquifer Systems with Bayesian Networks and Artificial Neural Networks A. Maldonado et al.
- On the Use of Weather Generators for the Estimation of Low-Frequency Floods under a Changing Climate C. Beneyto et al.
- Bayesian Networks for Preprocessing Water Management Data R. Ropero et al.
- Monitoring Cliff Erosion with LiDAR Surveys and Bayesian Network-based Data Analysis P. Terefenko et al.
- A combined hydrological and hydraulic modelling approach for the flood hazard mapping of the Po river basin R. Nogherotto et al.
- Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration N. Pyko et al.
- A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al.
- The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest M. Bogachev et al.
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