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Your search keyword '"João Rogeiro"' showing total 6 results
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6 results on '"João Rogeiro"'

1. Multi-Hazard WebGIS Platform for Coastal Regions

Author

Miguel Rocha, Anabela Oliveira, Paula Freire, André B. Fortunato, Alphonse Nahon, José L. Barros, Alberto Azevedo, Filipa S. B. F. Oliveira, João Rogeiro, Gonçalo Jesus, Ricardo J. Martins, Pedro P. Santos, Alexandre O. Tavares, and João Oliveira

Subjects
web platform, flood and erosion risk management, hydro-morphodynamic modeling, remote sensing, forecast systems, GIS, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

The combined action of waves, surges and tides can cause flooding, erosion and dune and structure overtopping in many coastal regions. Addressing emergency and risk management in these areas require a combination of targeted campaigns and real-time data that measure all phenomena at stake and can be used to develop comprehensive monitoring platforms. These monitoring platforms can support the development of prediction tools that address all hazards in an integrated way. Herein, we present a methodology focused on multi-hazard coastal alert and risk, and its implementation in a tailored WebGIS platform. The MOSAIC platform offers a one-stop-shop capacity to access in-situ and remote sensing data, and hydrodynamic and morphodynamic predictions, supported by numerical models: SCHISM and XBeach. Information is structured on a local observatory scale, with regional forcings available for the correct interpretation of local hazards effects. This implementation can be further applied and extended to other coastal zones. The MOSAIC platform also provides access to a detailed database of past hazardous events, organized along several risk indicators, for the western coast of Portugal. The combination of features in the platform provides a unique repository of hazard information to support end-users for both emergency and long term risk planning actions.

Published
2021
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5. Hydrologic and Hydraulic modelling as a support for an early warning system for flash floods

Author

João Fernandes, Rui Rodrigues, Gonçalo Jesus, João Rogeiro, and Anabela Oliveira

Abstract

Urban floods are amongst the most dangerous and frequent natural hazards. Despite the great uncertainty and errors of the computation and input information, the estimation of flow discharges and flood levels are paramount for a successful flood management. In small watersheds with high slopes and small concentration time, reliable early warning systems should be based on real-time monitoring of the forcing variables and hydrology and hydraulic modelling to evaluate the flooded areas and the inundation levels in the vulnerable area.In this work, hydrologic analysis and hydrodynamic modelling as a support for an early warning system are presented. Together with the modelling component, the monitoring setup including meteorological and hydrometric stations is showed. The case study focuses on the Vinhas Creek basin, where steep slopes from the mountainous headwaters converge to a final flat reach located in the highly urbanized area of the city of Cascais, close to the Tagus estuary mouth. This area is rather prone to torrential floods that inundate the lower part of the city.The hydrologic and hydraulic modelling were conducted with the HEC models. After the definition and characterization of the watershed, the first modelling step was made by applying the HEC-HMS software coupled with geomorphological analysis and landcover to estimate the curve number and all related variables to generate flood hydrographs. Calibration was achieved using data from the historical flood of February of 1983.As for the hydraulic modelling of the flood wave it was performed using HEC-RAS 2D software. A Digital Terrain Model was constructed taking advantage of 2x2m2 topographic information. The model was validated against data from the flood of February 2021 for the validation of the results.Finally, the integration of the validated HEC models for hydrology and hydrodynamics in the Water Information Forecast Framework is briefly presented. Based on meteorological data, this system aims at providing real time flood levels in the vulnerable areas.

Published
2022
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