scholarly journals Development, progression, and impact on urban air quality of the dust storm in Asia in March 15–18, 2021

Urban Climate ◽  
2022 ◽  
Vol 41 ◽  
pp. 101080
Author(s):  
Mikalai Filonchyk ◽  
Michael Peterson
Keyword(s):  
Air Quality ◽  
Dust Storm ◽  
Urban Air Quality ◽  
Urban Air

scholarly journals The Impacts of Taklimakan Dust Events on Chinese Urban Air Quality in 2015

Atmosphere ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 281 ◽  
Author(s):  
Xiaoyu Li ◽  
Xiaodong Liu ◽  
Zhi-Yong Yin
Keyword(s):  
Air Quality ◽  
Dust Storm ◽  
Northwest China ◽  
Urban Air Quality ◽  
Urban Air ◽  
Taklimakan Desert ◽  
The Taklimakan Desert ◽  
Pm10 And Pm2.5 ◽  
Dust Events ◽  
Mass Concentrations

Aerosols are an important factor affecting air quality. As the largest source of dust aerosol of East Asia, the Taklimakan Desert in Northwest China witnesses frequent dust storm events, which bring about significant impacts on the downstream air quality. However, the scope and timing of the impacts of Taklimakan dust events on Chinese urban air quality have not yet been fully investigated. In this paper, based on multi-source dust data including ground observations, satellite monitoring, and reanalysis products, as well as air quality index (AQI) and the mass concentrations of PM10 and PM2.5 at 367 urban stations in China for 2015, we examined the temporal and spatial characteristics of the impacts of the Taklimakan dust events on downstream urban air quality in China. The results show that the Taklimakan dust events severely affected the air quality of most cities in Northwest China including eastern Xinjiang, Hexi Corridor and Guanzhong Basin, and even northern Southwest China, leading to significant increases in mass concentrations of PM10 and PM2.5 in these cities correlating with the occurrence of dust events. The mass concentrations of PM10 on dust days increased by 11–173% compared with the non-dust days, while the mass concentration of PM2.5 increased by 21–172%. The increments of the mass concentrations of PM10 and PM2.5 on dust days decreased as the distances increased between the cities and the Taklimakan Desert. The influence of the Taklimakan dust events on the air quality in the downstream cities usually persisted for up to four days. The mass concentrations of PM10 and PM2.5 increased successively and the impact duration shortened gradually with increasing distances to the source area as a strong dust storm progressed toward the southeast from the Taklimakan Desert. The peaks of the PM10 concentrations in the downstream cities of eastern Xinjiang, the Hexi Corridor and the Guanzhong Basin occurred on the second, third and fourth days, respectively, after the initiation of the Taklimakan dust storm.

Projecting impacts of two-wheelers on urban air quality of Douala, Cameroon

2017 ◽  
Vol 52 ◽  
pp. 49-63 ◽  
Author(s):  
Cyrille Mezoue Adiang ◽  
David Monkam ◽  
Ebenezer Njeugna ◽  
Sharad Gokhale
Keyword(s):  
Air Quality ◽  
Urban Air Quality ◽  
Urban Air

scholarly journals Implications of COVID-19 Restriction Measures in Urban Air Quality of Thessaloniki, Greece: A Machine Learning Approach

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1500
Author(s):  
Dimitris Akritidis ◽  
Prodromos Zanis ◽  
Aristeidis K. Georgoulias ◽  
Eleni Papakosta ◽  
Paraskevi Tzoumaka ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Urban Areas ◽  
Learning Algorithm ◽  
Urban Air Quality ◽  
Gradient Boosting ◽  
Urban Air ◽  
Extreme Gradient Boosting ◽  
The Impact

Following the rapid spread of COVID-19, a lockdown was imposed in Thessaloniki, Greece, resulting in an abrupt reduction of human activities. To unravel the impact of restrictions on the urban air quality of Thessaloniki, NO2 and O3 observations are compared against the business-as-usual (BAU) concentrations for the lockdown period. BAU conditions are modeled, applying the XGBoost (eXtreme Gradient Boosting) machine learning algorithm on air quality and meteorological surface measurements, and reanalysis data. A reduction in NO2 concentrations is found during the lockdown period due to the restriction policies at both AGSOFIA and EGNATIA stations of −24.9 [−26.6, −23.2]% and −18.4 [−19.6, −17.1]%, respectively. A reverse effect is revealed for O3 concentrations at AGSOFIA with an increase of 12.7 [10.8, 14.8]%, reflecting the reduced O3 titration by NOx. The implications of COVID-19 lockdowns in the urban air quality of Thessaloniki are in line with the results of several recent studies for other urban areas around the world, highlighting the necessity of more sophisticated emission control strategies for urban air quality management.

scholarly journals Spatial-Temporal Variability and Characterisation of Aerosols in Urban Air Quality of Ahmedabad, India, based on Field and Satellite Data

2018 ◽  
Vol 3 (1) ◽  
pp. 13-22
Author(s):  
Rajesh Iyer ◽  
◽  
Abha Chhabra ◽  
Prakash Chauhan ◽  
Tejas Turakhia ◽  
...  
Keyword(s):  
Air Quality ◽  
Satellite Data ◽  
Temporal Variability ◽  
Urban Air Quality ◽  
Urban Air
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