Space-time mapping of ground-level PM2.5 and NO2 concentrations in heavily polluted northern China during winter using the Bayesian maximum entropy technique with satellite data
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Title
Space-time mapping of ground-level PM2.5 and NO2 concentrations in heavily polluted northern China during winter using the Bayesian maximum entropy technique with satellite data
Authors
Keywords
PM<sub>2.5</sub>, NO<sub>2</sub>, Space-time mapping, Bayesian maximum entropy, Machine learning
Journal
Air Quality Atmosphere and Health
Volume 11, Issue 1, Pages 23-33
Publisher
Springer Nature
Online
2017-09-18
DOI
10.1007/s11869-017-0514-8
References
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