Can we scale digital twins of nature-based solutions for stormwater and transboundary water security projects? (2023)
- Authors:
- USP affiliated authors: MENDIONDO, EDUARDO MARIO - EESC ; BRASIL, JOSÉ ARTUR TEIXEIRA - EESC ; SILVA, GABRIEL MARINHO E - EESC ; GOMES JÚNIOR, MARCUS NÓBREGA - EESC ; SOUZA, FELIPE AUGUSTO ARGUELLO DE - EESC
- Unidade: EESC
- DOI: 10.2166/hydro.2022.142
- Subjects: RECURSOS HÍDRICOS; TRATAMENTO DE ÁGUA; ENGENHARIA HIDRÁULICA
- Language: Inglês
- Imprenta:
- Publisher: IWA Publishing
- Publisher place: London, United Kingdom
- Date published: 2023
- Source:
- Título: Journal of Hydroinformatics
- ISSN: 1464-7141
- Volume/Número/Paginação/Ano: v. 24, n. 4, p. 749-764, 2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
BRASIL, José Artur Teixeira et al. Can we scale digital twins of nature-based solutions for stormwater and transboundary water security projects?. Journal of Hydroinformatics, v. 24, n. 4, p. 749-764, 2023Tradução . . Disponível em: https://doi.org/10.2166/hydro.2022.142. Acesso em: 28 dez. 2025. -
APA
Brasil, J. A. T., Macedo, M. B. de, Oliveira, T. R. P. de, Ghiglieno, F. G., Souza, V. C. B. de, Silva, G. M. e, et al. (2023). Can we scale digital twins of nature-based solutions for stormwater and transboundary water security projects? Journal of Hydroinformatics, 24( 4), 749-764. doi:10.2166/hydro.2022.142 -
NLM
Brasil JAT, Macedo MB de, Oliveira TRP de, Ghiglieno FG, Souza VCB de, Silva GM e, Gomes Junior MN, Souza FAA de, Mendiondo EM. Can we scale digital twins of nature-based solutions for stormwater and transboundary water security projects? [Internet]. Journal of Hydroinformatics. 2023 ; 24( 4): 749-764.[citado 2025 dez. 28 ] Available from: https://doi.org/10.2166/hydro.2022.142 -
Vancouver
Brasil JAT, Macedo MB de, Oliveira TRP de, Ghiglieno FG, Souza VCB de, Silva GM e, Gomes Junior MN, Souza FAA de, Mendiondo EM. Can we scale digital twins of nature-based solutions for stormwater and transboundary water security projects? [Internet]. Journal of Hydroinformatics. 2023 ; 24( 4): 749-764.[citado 2025 dez. 28 ] Available from: https://doi.org/10.2166/hydro.2022.142 - A modeling framework for bioretention analysis: assessing the hydrologic performance under system uncertainty
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Informações sobre o DOI: 10.2166/hydro.2022.142 (Fonte: oaDOI API)
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