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-Reference-Cited by-同舟云学术

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

Published:2017-09-18 Issue:1 Volume:11 Page:23-33
ISSN:1873-9318
Container-title:Air Quality, Atmosphere & Health
language:en
Short-container-title:Air Qual Atmos Health

Author:

Jiang Qutu,Christakos George

Funder

the National Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution

Link

http://link.springer.com/article/10.1007/s11869-017-0514-8/fulltext.html

Reference37 articles.

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4. Christakos G (1990) A Bayesian maximum-entropy view to the spatial estimation problem. Math Geol 22:763–777

5. Christakos G (1992) Random field models in earth sciences. Academic Press, San Diego. New Edition (2005), Dover Publ. Inc., Mineola, NY

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