Relevance analysis and short-term prediction of PM 2.5 concentrations in Beijing based on multi-source data-Reference-Cited by-同舟云学术

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Relevance analysis and short-term prediction of PM 2.5 concentrations in Beijing based on multi-source data

Published:2017-02 Issue: Volume:150 Page:146-161
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Ni X.Y.,Huang H.,Du W.P.

Funder

National Natural Science Foundation of China

China Clean Development Mechanism Foundation

Collaborative Innovation Center of Public Safety

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference33 articles.

1. Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations;Arhami;Environ. Sci. Pollut. Res.,2013

2. Time series analysis, forecasting and Control;Box;J. R. Stat. Soc. Ser. A General.,1976

3. PM2.5 measurements in a Mediterranean site: two typical cases;Caggiano;Atmos. Res.,2011

4. Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK;Chemel;Atmos. Environ.,2014

5. Observation of aerosol optical properties and particulate pollution at background station in the Pearl River Delta region;Chen;Atmos. Res.,2014

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