The Influence of Seasonal Meteorology on Vehicle Exhaust PM2.5 in the State of California: A Hybrid Approach Based on Artificial Neural Network and Spatial Analysis

The Influence of Seasonal Meteorology on Vehicle Exhaust PM2.5 in the State of California: A Hybrid Approach Based on Artificial Neural Network and Spatial Analysis

This study aims to develop a hybrid approach based on backpropagation artificial neural network (ANN) and spatial analysis techniques to predict particulate matter of size 2.5 µm (PM2.5) from vehicle exhaust emissions in the State of California using aerosol optical depth (AOD) and several meteorolo...

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Bibliographic Details
Main Authors: Fan Yu, Amin Mohebbi, Shiqing Cai, Simin Akbariyeh, Brendan J. Russo, Edward J. Smaglik
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Environments
Subjects:
vehicle exhaust PM2.5
MOVES
artificial neural network
spatial analysis
aerosol optical depth
Online Access:https://www.mdpi.com/2076-3298/7/11/102

Internet

https://www.mdpi.com/2076-3298/7/11/102

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