Integration of Information Technology Systems for Flood Forecasting With Hybrid Data Sources (PAP014807)

Código

PAP014807

Autores

Maria Clara Fava, Guilherme Marcel Dias Santana, Danielle de Almeida Bressiani, A. Rosa, Flavio Eduardo Aoki Horita, Vladimir Caramori Borges de Souza, Eduardo Mário Mendiondo

Tema

Flood forecasting and early warning systems

Resumo

This paper presents a new methodology for flood forecasting integrating volunteered geographic information ? VGI and wireless sensor networks ? WSN. The methodology was applied to São Carlos city urban basin, São Paulo state, Brazil and showed promising results compared to the forecasted ones using only sensor data. The major contribution of this methodology is the high capacity of adaptation to different kinds of data, increasing the amount of data and reducing the forecasting uncertainty. Also, the proposed methodology can simulate scenarios of predicted precipitation using weather radar and two other methods - Precipitation forecasting using weather data and forecasting using statistics techniques. This work is still under development and the main objective of this paper is to present the current status of the research and the proposed methodology. The preliminary results showed that the basin model still needs improvements before conducting calibration.