A data-driven approach to predicting critical TSP episodes: insights from a mining-influenced area in Southeast Brazil.
Saved in:
| Title: | A data-driven approach to predicting critical TSP episodes: insights from a mining-influenced area in Southeast Brazil. |
|---|---|
| Authors: | Ribeiro CB; Graduate Program of Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil., Hoinaski L; Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil., Will R; Graduate Program of Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil., Hess JH; Graduate Program of Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Brazil., Ribeiro A; Graduate Program of Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil., Pedruzzi R; Department of Environmental Engineering, State University of Rio de Janeiro, Rio de Janeiro, Brazil., Dias de Freitas E; Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil., Albuquerque TTA; Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil. |
| Source: | Environmental technology [Environ Technol] 2026 Apr; Vol. 47 (9), pp. 1439-1450. Date of Electronic Publication: 2025 Sep 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9884939 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1479-487X (Electronic) Linking ISSN: 09593330 NLM ISO Abbreviation: Environ Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1479-487X |
|---|---|
| DOI: | 10.1080/09593330.2025.2556349 |
