Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach

Journal of Geophysical Research Atmospheres

Volumn 114, Issue 20, 2009, Pages

  Gupta, Pawan ^a   Christopher, Sundar A ^a  

^a UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR QUALITY; ATMOSPHERIC AEROSOLS; BACKPROPAGATION; ENVIRONMENTAL PROTECTION AGENCY; METAL ANALYSIS; REGRESSION ANALYSIS; SATELLITES;

AEROSOL OPTICAL THICKNESS; AEROSOL PRODUCT; AEROSOL PROFILES; AIR QUALITY ASSESSMENT; AIR QUALITY MONITORING; ARTIFICIAL NEURAL NETWORK; HUMAN HEALTH; METEOROLOGICAL ANALYSIS; METEOROLOGICAL PRODUCTS; MULTIPLE REGRESSION TECHNIQUES; MULTIPLE REGRESSIONS; PARTICULATE MATTER; RAPID UPDATE CYCLES; REGRESSION COEFFICIENT; SATELLITE DATA; SOUTHEAST UNITED STATES; SURFACE-BASED;

NEURAL NETWORKS;

AEROSOL PROPERTY; AIR QUALITY; ARTIFICIAL NEURAL NETWORK; HEALTH IMPACT; MODIS; MULTIPLE REGRESSION; PARTICULATE MATTER; PUBLIC HEALTH; SATELLITE DATA;

NORTH AMERICA; UNITED STATES;

EID: 72049091176     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008JD011497     Document Type: Article

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