A Long-Term Prediction Model of Beijing Haze Episodes Using Time Series Analysis
The rapid industrial development has led to the intermittent outbreak of pm2.5 or haze in developing countries, which has brought about great environmental issues, especially in big cities such as Beijing and New Delhi. We investigated the factors and mechanisms of haze change and present a long-ter...
Main Authors: | Xiaoping Yang, Zhongxia Zhang, Zhongqiu Zhang, Liren Sun, Cui Xu, Li Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2016/6459873 |
Similar Items
-
Size-resolved source apportionment of particulate matter in urban Beijing during haze and non-haze episodes
by: S. L. Tian, et al.
Published: (2016-01-01) -
Size distribution and source of black carbon aerosol in urban Beijing during winter haze episodes
by: Y. Wu, et al.
Published: (2017-06-01) -
Rapid formation of intense haze episodes via aerosol–boundary layer feedback in Beijing
by: Y. Wang, et al.
Published: (2020-01-01) -
Variations in Levels and Sources of Atmospheric VOCs during the Continuous Haze and Non-Haze Episodes in the Urban Area of Beijing: A Case Study in Spring of 2019
by: Lihui Zhang, et al.
Published: (2021-01-01) -
Aerosol physicochemical properties and implications for visibility during an intense haze episode during winter in Beijing
by: Y. H. Wang, et al.
Published: (2015-03-01)