Health impacts and costs of Fine Particulate Matter formation from road transport in Bangkok Metropolitan Region

2021 ◽  
pp. 101191
Author(s):  
Sinthunon Chavanaves ◽  
Peter Fantke ◽  
Wongpun Limpaseni ◽  
Witsanu Attavanich ◽  
Sirima Panyametheekul ◽  
...  
2021 ◽  
pp. 62-75
Author(s):  
S. V. Kakareka ◽  
◽  
S. V. Salivonchyk ◽  

The paper deals with the quantification of fine particulate matter (PM10) dispersion in atmospheric air of an industrial city using the AERMOD model by an example of Zhlobin (the Gomel oblast, Belarus). Model input data and procedures for the emission inventory and obtaining spatially distributed estimates are described. Emissions and dispersion of PM10 from the main categories of sources are considered, including industrial facilities, road and off-road mobile sources, domestic sector, and agriculture. It is shown that the main contribution to high PM10 concentrations in atmospheric air is made by industrial enterprises, the domestic sector, and road transport. The spatial pattern of urban air pollution is described. The simulation results are compared with the results of PM10 measurements at the monitoring site, their satisfactory consistency is demonstrated.


2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Mei Zheng* ◽  
Xiaoying Li ◽  
Yanjun Zhang ◽  
Caiqing Yan

2017 ◽  
Vol 163 ◽  
pp. S352-S358 ◽  
Author(s):  
Yingshi Song ◽  
Xiaoke Wang ◽  
Barbara A. Maher ◽  
Feng Li ◽  
Chongqi Xu ◽  
...  

2021 ◽  
pp. 101149
Author(s):  
Piyaporn Sricharoenvech ◽  
Alexandra Lai ◽  
Worku Tefera ◽  
Abera Kumie ◽  
Kiros Berhane ◽  
...  

Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 227 ◽  
Author(s):  
Daiju Narita ◽  
Nguyen Oanh ◽  
Keiichi Sato ◽  
Mingqun Huo ◽  
Didin Permadi ◽  
...  

Air pollution is becoming a prominent social problem in fast-growing Asian economies. Taking the Bangkok Metropolitan Region (BMR) as a case, we conducted an observational study of fine particulate matter (PM2.5) and acid deposition, consisting of their continuous monitoring at two sites. To find the major contributing sources of PM2.5, the PM composition data were analyzed by a receptor modeling approach while the pollution load from BMR sources to the air was characterized by an emission inventory. Our data show generally alarming levels of PM2.5 in the region, of which transportation and biomass burning are two major sources. In this paper, we present a general overview of our observational findings, contrast the scientific information with the policy context of air quality management in BMR, and discuss policy implications. In BMR, where a set of conventional regulatory instruments on air quality management are already in place, a solution for the air pollution problem should lie in a combination of air quality regulation and other policies, such as energy and agricultural policies.


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