| Texto completo | |
| Autor(es): |
Escobar-Silva, Elton Vicente
;
de Almeida, Claudia Maria
;
da Silva, Gustavo Barbosa Lima
;
Bursteinas, Ingobert
;
da Rocha Filho, Kleber Lopes
;
de Oliveira, Cleber Gonzales
;
Fagundes, Marina Refatti
;
de Paiva, Rodrigo Cauduro Dias
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | WATER; v. 15, n. 6, p. 19-pg., 2023-03-01. |
| Resumo | |
Current forecasts estimate that almost 68% of the global population will be living in urban centers by 2050. As a result, the increase in impermeable surface area can result in severe hydrological impacts, such as the increase in surface runoff and the frequency of floods and their magnitude. Thus, this work analyzes the performance of the hydrodynamic model HEC-RAS for assessing the extent of flood-prone areas, using two digital terrain models (DTM) with different spatial resolutions (5 and 0.50 m). Four different computing intervals (1, 15, 30, and 60 s) were adopted aiming to evaluate the simulations outputs performance. Additionally, reported data by the civil defense are used for calibration and validation. In general, the model showed to be a powerful tool in the identification of susceptible areas to urban flooding. The simulated results in this work provide crucial geographic information when identifying spots with the highest risk of flooding, which should receive priority attention during such events. The simulations with a spatial resolution of 5 m showed the flood maps with the largest coverage of the flooded points (278 points out of 286-97.20%), within the shortest computation times. We highlight that the more refined DTM derived from spatial images did not produce the best flood simulation compared to the DTM with a spatial resolution of 5 m derived from orthoimages. (AU) | |
| Processo FAPESP: | 21/11435-4 - Projeções baseadas em cenário futuros de inundações urbanas por meio de um acoplamento fraco entre um modelo de mudança de uso do solo urbana baseado em CA e um modelo hidrodinâmico: um estudo de caso em São Caetano do Sul (SP) |
| Beneficiário: | Elton Vicente Escobar Silva |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 20/09215-3 - Identificação de áreas de superfícies permeáveis e impermeáveis por meio de análise de imagens baseada em objetos geográficos (GEOBIA) e deep learning como entrada para um modelo de previsão de crescimento urbano |
| Beneficiário: | Cláudia Maria de Almeida |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |