Oxidative potential of ambient fine particulate matter for ranking of emission sources: an insight for emissions reductions

Author(s):  
Shivani ◽  
Ranu Gadi
2015 ◽  
Vol 41 (2) ◽  
pp. 28-35 ◽  
Author(s):  
Jolanta Godłowska ◽  
Monika J. Hajto ◽  
A. Monika Tomaszewska

Abstract The paper presents a method of identifying distant emission sources of fine particulate matter PM2.5 affecting significantly PM2.5 concentrations at a given location. The method involves spatial analysis of aggregate information about PM2.5 concentrations measured at the location and air masses backward trajectories calculated by HYSPLIT model. The method was examined for three locations of PM2.5 measurement stations (Diabla Góra, Gdańsk, and Katowice) which represented different environmental conditions. The backward trajectories were calculated starting from different heights (30, 50, 100 and 150 m a. g. l.). All points of a single backward trajectory were assigned to the PM2.5 concentration corresponding to the date and the site of the beginning of trajectory calculation. Daily average concentrations of PM2.5 were used, and in the case of Gdańsk also hourly ones. It enabled to assess the effectiveness of the presented method using daily averages if hourly ones were not available. Locations of distant sources of fine particulate matter emission were determined by assigning to each grid node a mean value of PM2.5 concentrations associated with the trajectories points located within the so-called search ellipse. Nearby sources of fine particulate matter emission were eliminated by filtering the trajectories points located close to each other (so-called duplicates). The analyses covered the period of January-March 2010. The results indicated the different origin of air masses in the northern and southern Poland. In Diabla Góra and Gdańsk the distant sources of fine particulate matter emission are identified in Belarus and Russia. In Katowice the impact of the Belarusian PM2.5 emission sources was also noted but as the most important fine particulate matter emission sources were considered those located in the area of Romania, Hungary, Slovakia and Ukraine.


2017 ◽  
Vol 148 ◽  
pp. 102-114 ◽  
Author(s):  
Farimah Shirmohammadi ◽  
Dongbin Wang ◽  
Sina Hasheminassab ◽  
Vishal Verma ◽  
James J. Schauer ◽  
...  

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ziyin Tang ◽  
Jeremy A. Sarnat ◽  
Rodney Weber ◽  
Armistead G. Russell ◽  
Xiaoyue Zhang ◽  
...  

2020 ◽  
Vol 222 ◽  
pp. 117132 ◽  
Author(s):  
Kathleen E. Berg ◽  
Kaylee M. Clark ◽  
Xiaoying Li ◽  
Ellison M. Carter ◽  
John Volckens ◽  
...  

2020 ◽  
Author(s):  
Jihyun Seo ◽  
Nankyoung Moon

<p>In order to manage fine particulate matter, class 1 carcinogen, various policies are being prepared by the government. The government announced a set a policy measures to confront pollution issues in November 2019. Diesel cars classified as grade 5 will be banned and maximum 27 coal power plants would be plugged off from December to March when fine particulate matter usually worsen to curtail air pollution by more than 20 percent. Despite such efforts, however, it is difficult to improve the concentration of fine particulate matter. In particular, as fine particulate matter management policies are biased toward the management of coal power plants or diesel cars, port and ship emissions management are relatively insufficient.</p><p>In the case of major Korea’s port cities such as Busan and Incheon, the impacts of fine particulate matter from ship emissions are analyzed to be significant. In particular, the use of low-grade fuel such as bunker C oil, which has high sulfur content, generates a large amount of fine particulate matter and other air pollutants. As such, for fine particulate matter management in port areas, the impact of ships, cargo handling equipment and cargo trucks, which are major sources of emissions, needs to be quantitatively understood.</p><p>Under this background, the emission characteristics of ship emissions were identified by using national air pollutants emissions data in 2015, which improved the calculation method of ship emission sources and the contribution concentration of PM2.5 was analyzed using WRF and CMAQ/BFM. The modelling period is one year in 2016, and the resolution of 9km modeling was applied to Korea.</p><p>As one of the main results, the annual mean PM2.5 contribution concentration from domestic ship emission sources was analyzed to be 0.57μg/㎥, and the PM2.5 contribution concentration by local governments was calculated to be most affected by the 1.39μg/㎥ in Busan. The results of this study have not taken into account additional sources of emissions such as cargo handling equipment and cargo trucks using ports, and if this is taken into account, the actual contribution concentration of PM2.5 in port areas is expected to be higher.</p><p>The results of this research can be used as basic data when establishing policies for reducing fine particulate matter by major emission sources by local governments.</p>


2021 ◽  
Vol 291 ◽  
pp. 118206
Author(s):  
Ta-Chih Hsiao ◽  
Li-Ti Chou ◽  
Shih-Yu Pan ◽  
Li-Hao Young ◽  
Kai-Hsien Chi ◽  
...  

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