Estimating Regional Spatial and Temporal Variability of PM 2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information | Zendy

Yang Liu | Zendy; Christopher J. Paciorek | Zendy; Petros Koutrakis | Zendy

Open Access

Estimating Regional Spatial and Temporal Variability of PM _2.5 Concentrations Using Satellite Data, Meteorology, and Land Use Information

Author(s) -

Yang Liu,

Christopher J. Paciorek,

Petros Koutrakis

Publication year - 2009

Publication title -

environmental health perspectives

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.257

H-Index - 282

eISSN - 1552-9924

pISSN - 0091-6765

DOI - 10.1289/ehp.0800123

Subject(s) - environmental science , aerosol , particulates , satellite , geostationary orbit , generalized additive model , meteorology , land cover , spatial distribution , aerodynamic diameter , land use , atmospheric sciences , climatology , remote sensing , geography , statistics , mathematics , ecology , civil engineering , aerospace engineering , geology , engineering , biology

Studies of chronic health effects due to exposures to particulate matter with aerodynamic diameters <or= 2.5 microm (PM(2.5)) are often limited by sparse measurements. Satellite aerosol remote sensing data may be used to extend PM(2.5) ground networks to cover a much larger area.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research