Papers

@article{fernandez-novoa_enhancing_2024,

title = {Enhancing Flood Risk Management: A Comprehensive Review on Flood Early Warning Systems with Emphasis on Numerical Modeling},

author = {Diego Fernández-Nóvoa and José González-Cao and Orlando García-Feal},

url = {https://www.mdpi.com/2073-4441/16/10/1408},

doi = {10.3390/w16101408},

issn = {2073-4441},

year  = {2024},

date = {2024-01-01},

urldate = {2026-04-21},

journal = {Water},

volume = {16},

number = {10},

pages = {1408},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {During recent decades there has been an increase in extreme flood events and their intensity in most regions, mainly driven by climate change. Furthermore, these critical events are expected to intensify in the future. Therefore, the improvement of preparedness, mitigation, and adaptation counterparts is mandatory. Many scientific fields are involved in this task, but from a meteorological and hydrological perspective, one of the main tools that can contribute to mitigating the impact of floods is the development of Early Warning Systems. In this sense, this paper presents a scientific literature review of some of the most representative Flood Early Warning Systems worldwide, many of which are currently fully operational, with a special focus on the numerical modeling component when it is developed and integrated into the system. Thus, from basic to technically complex, and from basin or regional to continental or global scales of application, these systems have been reviewed. In this sense, a brief description of their main features, operational procedures, and implemented numerical models is also depicted. Additionally, a series of indications regarding the key aspects of the newly developed FEWSs, based on recent trends and advancements in FEWSs development found in the literature, are also summarized. Thus, this work aims to provide a literature review useful to scientists and engineers involved in flood analysis to improve and develop supporting tools to assist in the implementation of mitigation measures to reduce flood damage for people, goods, and ecosystems and to improve the community resilience.},

keywords = {early warning system, Floods, literature review, numerical modeling},

pubstate = {published},

tppubtype = {article}

}

@article{Cea2022,

title = {Hydraulic Modeling of Bridges in Two-Dimensional Shallow Water Models},

author = {Luis Cea-Gómez and Gabriela Vila and Gonzalo García-Alén-Lores and Jerónimo Puertas-Agudo and Luis Pena-Mosquera},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130617800&doi=10.1061%2f%28ASCE%29HY.1943-7900.0001992&partnerID=40&md5=c2d1ecf9ae2ed0bc6143847662735276},

doi = {10.1061/(ASCE)HY.1943-7900.0001992},

issn = {07339429},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Journal of Hydraulic Engineering},

volume = {148},

number = {8},

publisher = {American Society of Civil Engineers (ASCE)},

abstract = {The backwater effect generated by bridges can significantly increase the risk of flooding. In this work we compare two different methods to include the effect of bridges in two-dimensional (2D) shallow water models. The first method is based on empirical discharge equations that are implemented as internal conditions. The second method is the recently proposed 2D extension of the two-component pressure approach, which accounts for the vertical confinement of the flow. Both approaches are tested and compared using a new set of experimental data obtained in 32 laboratory tests, including four different bridge geometries under different flow conditions. The results show that both methods can reproduce the observed bridge afflux for a wide range of flow conditions, but the two-component pressure approach is less dependent on model calibration. On the other hand, both methods fail to correctly reproduce the 2D water depth patterns observed around the bridge. © 2022 American Society of Civil Engineers.},

note = {cited By 3},

keywords = {2D shallow waters; Backwater effects; Component pressure; Condition; Discharge equations; Floodings; Flow condition; Shallow-water models; Two-component; Two-dimensional, bridge; calibration; comparative study; equation; hydraulics; numerical model; shallow-water equation; water depth, Floods, Water resources},

pubstate = {published},

tppubtype = {article}

}

@article{Bermúdez20172770,

title = {Quantifying local rainfall dynamics and uncertain boundary conditions into a nested regional-local flood modeling system},

author = {María Bermúdez and Jeffrey C. Neal and Paul D. Bates and Gemma Coxon and Jim E. Freer and Luis Cea-Gómez and Jerónimo Puertas-Agudo},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017513327&doi=10.1002%2f2016WR019903&partnerID=40&md5=1245c773446e7cf9490fc30a389146b6},

doi = {10.1002/2016WR019903},

issn = {00431397},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Water Resources Research},

volume = {53},

number = {4},

pages = {2770-2785},

publisher = {Blackwell Publishing Ltd},

abstract = {Inflow discharge and outflow stage estimates for hydraulic flood models are generally derived from river gauge data. Uncertainties in the measured inflow data and the neglect of rainfall-runoff contributions to the modeled domain downstream of the gauging locations can have a significant impact on these estimated “whole reach” inflows and consequently on flood predictions. In this study, a method to incorporate rating curve uncertainty and local rainfall-runoff dynamics into the predictions of a reach-scale flood model is proposed. The methodology is applied to the July 2007 floods of the River Severn in UK. Discharge uncertainty bounds are generated applying a nonparametric local weighted regression approach to stage-discharge measurements for two gauging stations. Measured rainfall downstream from these locations is used as input to a series of subcatchment regional hydrological model to quantify additional local inflows along the main channel. A regional simplified-physics hydraulic model is then applied to combine these contributions and generate an ensemble of discharge and water elevation time series at the boundaries of a local-scale high complexity hydraulic model. Finally, the effect of these rainfall dynamics and uncertain boundary conditions are evaluated on the local-scale model. Accurate prediction of the flood peak was obtained with the proposed method, which was only possible by resolving the additional complexity of the extreme rainfall contributions over the modeled area. The findings highlight the importance of estimating boundary condition uncertainty and local rainfall contributions for accurate prediction of river flows and inundation at regional scales. © 2017. The Authors.},

note = {cited By 51},

keywords = {Accurate prediction; Flood inundation modeling; Local weighted regression; Rainfall contributions; Rainfall runoff; Rating curve; Regional hydrological model; Uncertainty bounds, boundary condition; catchment; discharge; flood; hydrological modeling; inflow; outflow; quantitative analysis; rainfall; rainfall-runoff modeling; raingauge; rating curve; uncertainty analysis, Boundary conditions; Flood control; Forecasting; Hydraulic models; Hydraulics; Rain; Rivers; Uncertainty analysis, Floods, Severn River [United Kingdom]; United Kingdom},

pubstate = {published},

tppubtype = {article}

}