Development and Assessment of Spatially Continuous Predictive Algorithms for Fine Particulate Matter in New York State

Development and Assessment of Spatially Continuous Predictive Algorithms for Fine Particulate Matter in New York State

Health risks connected with fine particulate matter (PM<sub>2.5</sub>) pollutants are well documented; increased risks of asthma, heart attack and heart failure are a few of the effects associated with PM<sub>2.5</sub>. Accurately forecasting PM<sub>2.5</sub> is c...

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Bibliographic Details
Main Authors: Sam Lightstone, Barry Gross, Fred Moshary, Paulo Castillo
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Atmosphere
Subjects:
air quality model
Air Quality System (AQS)
satellite derived PM<sub>2.5</sub>
fine particulate matter (PM<sub>2.5</sub>)
spatial Kriging
deep neural network
Online Access:https://www.mdpi.com/2073-4433/12/3/315

Internet

https://www.mdpi.com/2073-4433/12/3/315

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