Your browser doesn't support javascript.
loading
Criteria pollutant impacts of volatile chemical products informed by near-field modeling.
Qin, Momei; Murphy, Benjamin N; Isaacs, Kristin K; McDonald, Brian C; Lu, Quanyang; McKeen, Stuart A; Koval, Lauren; Robinson, Allen L; Efstathiou, Christos; Allen, Chris; Pye, Havala O T.
  • Qin M; Oak Ridge Institute for Science and Education (ORISE) Research Participant at the Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
  • Murphy BN; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing, China.
  • Isaacs KK; Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
  • McDonald BC; Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
  • Lu Q; Chemical Sciences Laboratory, NOAA Earth System Research Laboratories, Boulder, Colorado, USA.
  • McKeen SA; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Koval L; Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Robinson AL; Chemical Sciences Laboratory, NOAA Earth System Research Laboratories, Boulder, Colorado, USA.
  • Efstathiou C; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA.
  • Allen C; Oak Ridge Institute for Science and Education (ORISE) Research Participant at the Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina, USA.
  • Pye HOT; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Nat Sustain ; N/A: 1-57, 2020 Oct 05.
Article en En | MEDLINE | ID: mdl-33134558

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article