Multivariate time series modelling for urban air quality

Urban Climate ◽  
2021 ◽  
Vol 37 ◽  
pp. 100834
Author(s):  
Hajar Hajmohammadi ◽  
Benjamin Heydecker
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Multivariate Time Series ◽  
Urban Air Quality ◽  
Urban Air ◽  
Time Series Modelling

Complex networks from time series data allow an efficient historical stage division of urban air quality information

2021 ◽  
Vol 410 ◽  
pp. 126435
Author(s):  
Honghai Qiao ◽  
Zhenghong Deng ◽  
Huijia Li ◽  
Jun Hu ◽  
Qun Song ◽  
...  
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Complex Networks ◽  
Time Series Data ◽  
Urban Air Quality ◽  
Series Data ◽  
Quality Information ◽  
Urban Air ◽  
Stage Division

scholarly journals Time series based urban air quality predication

2016 ◽  
Vol 1 (2/3) ◽  
pp. 171-183 ◽  
Author(s):  
Weidong Xiao ◽  
Yanli Hu ◽  
Xiang Zhao ◽  
Yifan Chen ◽  
Ruiqi Li
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Urban Air Quality ◽  
Urban Air

aiRe - A web-based R application for simple, accessible and repeatable analysis of urban air quality data

2021 ◽  
Vol 138 ◽  
pp. 104976
Author(s):  
Juan José Díaz ◽  
Ivan Mura ◽  
Juan Felipe Franco ◽  
Raha Akhavan-Tabatabaei
Keyword(s):  
Air Quality ◽  
Urban Air Quality ◽  
Quality Data ◽  
Urban Air ◽  
Web Based ◽  
Air Quality Data

scholarly journals The Potential Impacts of Electric Vehicles on Urban Air Quality in Shanghai City

2021 ◽  
Vol 13 (2) ◽  
pp. 496
Author(s):  
Xiaojian Hu ◽  
Nuo Chen ◽  
Nan Wu ◽  
Bicheng Yin
Keyword(s):  
Air Quality ◽  
Electric Vehicles ◽  
Public Transportation ◽  
Road Traffic ◽  
Urban Air Quality ◽  
Urban Air ◽  
Vehicular Emissions ◽  
Potential Reduction ◽  
Efficient Measure ◽  
Shanghai City

The Shanghai government has outlined plans for the new vehicles used for the public transportation, rental, sanitation, postal, and intra-city freight to be completely powered by electricity by 2020. This paper analyzed the characteristics of vehicle emissions in Shanghai in the past five years. The potential reduction in road traffic related emissions due to the promotion and application of electric vehicle in Shanghai was evaluated. The potential reduction was quantified by vehicular emissions. The vehicular emissions inventories are calculated by the COPERT IV model under the different scenarios, of which the results indicate that promoting electric vehicles is the efficient measure to control all road traffic related emissions and improve urban air quality. The results also provided basis and support for making policies to promote and manage electric vehicles.

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