Your browser doesn't support javascript.
loading
A novel statistical-dynamical method for a seasonal forecast of particular matter in South Korea.
Jeong, Jee-Hoon; Choi, Jahyun; Jeong, Ji-Yoon; Woo, Sung-Ho; Kim, Sang-Woo; Lee, Daegyun; Lee, Jae-Bum; Yoon, Jin-Ho.
Afiliación
  • Jeong JH; Faculty of Earth and Environmental Sciences, Chonnam National University, Gwangju 61186, Republic of Korea.
  • Choi J; Faculty of Earth and Environmental Sciences, Chonnam National University, Gwangju 61186, Republic of Korea.
  • Jeong JY; Faculty of Earth and Environmental Sciences, Chonnam National University, Gwangju 61186, Republic of Korea.
  • Woo SH; Faculty of Earth and Environmental Sciences, Chonnam National University, Gwangju 61186, Republic of Korea.
  • Kim SW; School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Republic of Korea.
  • Lee D; Air Quality Forecasting Center, National Institute of Environmental Research, Incheon 22689, Republic of Korea.
  • Lee JB; Air Quality Forecasting Center, National Institute of Environmental Research, Incheon 22689, Republic of Korea.
  • Yoon JH; School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea. Electronic address: yjinho@gist.ac.kr.
Sci Total Environ ; 848: 157699, 2022 Nov 20.
Article en En | MEDLINE | ID: mdl-35926634
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Contaminación del Aire Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos