Uncertainty quantification of PM2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation-Reference-Cited by-同舟云学术

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Uncertainty quantification of PM2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation

Published:2022-12 Issue: Volume:324 Page:116282
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Zhang Linyue,Wang Jianzhou,Li Zhiwu^ORCID,Zeng Bo,Huang Xiaojia

Funder

National Planning Office of Philosophy and Social Sciences

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference46 articles.

1. A new intelligent method based on combination of VMD and ELM for short term wind power forecasting;Abdoos;Neurocomputing,2016

2. Air pollution and cardiovascular disease: a statement for healthcare professionals from the Expert Panel on population and prevention science of the American heart association;Brook;Circulation,2004

3. Prediction of PM2.5 concentration in a agricultural park based on BP artificial neural network;Chen;Adv. J. Food Sci. Technol.,2016

4. Spatiotemporal modeling with temporal-invariant variogram subgroups to estimate fine particulate matter PM 2.5 concentrations;Chen;Atmos. Environ.,2012

5. Research on superior combination forecasting model based on forecasting effective measure;Chen;J. China Univ. Sci. Technol.,2002

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