Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model.

Jang, JoonHo; Shin, Seungjae; Lee, Hyunjin; Moon, Il-Chul

Jang, JoonHo; Shin, Seungjae; Lee, Hyunjin; Moon, Il-Chul.

Afiliação

Jang J; Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Shin S; Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Lee H; Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.
Moon IC; Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea.

Sensors (Basel) ; 20(14)2020 Jul 09.

Article em En | MEDLINE | ID: mdl-32660163

Palavras-chave

ARIMA; Gaussian process; PM10; PM2.5; dispersion model; forecasting model; particulate matter

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2020 Tipo de documento: Article

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