An intelligent hybrid model for air pollutant concentrations forecasting: Case of Beijing in China-Reference-Cited by-同舟云学术

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An intelligent hybrid model for air pollutant concentrations forecasting: Case of Beijing in China

Published:2019-05 Issue: Volume:47 Page:101471
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Liu Hui,Wu Haiping,Lv Xinwei,Ren Zhiren,Liu Min,Li Yanfei,Shi Huipeng

Funder

National Natural Science Foundation of China

Changsha Science & Technology Project and Training Program for Excellent Young Innovators of Changsha

Shenghua Yu-ying Talents Program of the Central South University

innovation driven project of the Central South University

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference28 articles.

1. Prediction of air pollutants concentrations from multiple sources using AERMOD coupled with WRF prognostic model;Afzali;Journal of Cleaner Production,2017

2. A GA-based feature selection and parameters optimizationfor support vector machines;Cheng-Lung;Expert Systems With Applications,2006

3. A narrative review on the human health effects of ambient air pollution in Sub-Saharan Africa: An urgent need for health effects studies;Coker;International Journal of Environmental Research and Public Health,2018

4. Variational mode decomposition;Dragomiretskiy;IEEE Transactions on Signal Processing,2014

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