HydroPol2D: distributed hydrodynamic and water quality model - challenges and opportunities in poorly-gauged catchments (2023)
- Authors:
- USP affiliated authors: MENDIONDO, EDUARDO MARIO - EESC ; GOMES JÚNIOR, MARCUS NÓBREGA - EESC ; LAGO, CESAR AMBROGI FERREIRA DO - EESC ; RAPALO, LUIS MIGUEL CASTILLO - EESC
- Unidade: EESC
- DOI: 10.1016/j.jhydrol.2023.129982
- Subjects: HIDRODINÂMICA; QUALIDADE DA ÁGUA; BACIA HIDROGRÁFICA; ENGENHARIA HIDRÁULICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Amesterdam, Netherlands
- Date published: 2023
- Source:
- Título: Journal of hydrology
- ISSN: 0022-1694
- Volume/Número/Paginação/Ano: v. 625, article 129982, p. 1-18, 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
ABNT
GOMES JUNIOR, Marcus Nóbrega et al. HydroPol2D: distributed hydrodynamic and water quality model - challenges and opportunities in poorly-gauged catchments. Journal of hydrology, v. 625, p. 1-18, 2023Tradução . . Disponível em: http://dx.doi.org/10.1016/j.jhydrol.2023.129982. Acesso em: 26 dez. 2025. -
APA
Gomes Junior, M. N., Lago, C. A. F. do, Castillo Rápalo, L. M., Oliveira, P. T. S., Giacomoni, M. H., & Mendiondo, E. M. (2023). HydroPol2D: distributed hydrodynamic and water quality model - challenges and opportunities in poorly-gauged catchments. Journal of hydrology, 625, 1-18. doi:10.1016/j.jhydrol.2023.129982 -
NLM
Gomes Junior MN, Lago CAF do, Castillo Rápalo LM, Oliveira PTS, Giacomoni MH, Mendiondo EM. HydroPol2D: distributed hydrodynamic and water quality model - challenges and opportunities in poorly-gauged catchments [Internet]. Journal of hydrology. 2023 ; 625 1-18.[citado 2025 dez. 26 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2023.129982 -
Vancouver
Gomes Junior MN, Lago CAF do, Castillo Rápalo LM, Oliveira PTS, Giacomoni MH, Mendiondo EM. HydroPol2D: distributed hydrodynamic and water quality model - challenges and opportunities in poorly-gauged catchments [Internet]. Journal of hydrology. 2023 ; 625 1-18.[citado 2025 dez. 26 ] Available from: http://dx.doi.org/10.1016/j.jhydrol.2023.129982 - Developing an open-source flood forecasting system adapted to data-scarce regions: a digital twin coupled with hydrologic-hydrodynamic simulations
- Bioretention as a control to urban drainage system with an ecohydrological base : GIS as a tool on decision making
- A modeling framework for bioretention analysis: assessing the hydrologic performance under system uncertainty
- Improving pluvial flood mapping resolution of large coarse models with deep learning
- Stormwater volume reduction and water quality improvement by bioretention: potentials and challenges for water security in a subtropical catchment
- Open-source tools for flood risk assessment for multiple spatio-temporal scales under scenarios of change
- Bioretention performance under different rainfall regimes in subtropical conditions: a case study in São Carlos, Brazil
- Global optimization-based calibration algorithm for a 2D distributed hydrologic-hydrodynamic and water quality model
- Evaluating low impact development practices potentials for increasing flood resilience and stormwater reuse through lab-controlled bioretention systems
- Application of deep learning for high-resolution flood mapping in urban watersheds
Informações sobre o DOI: 10.1016/j.jhydrol.2023.129982 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
1-s2.0-S0022169423009241-... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
