scholarly journals Characteristics and potential sources of wintertime air pollution in Linfen, China

2021 ◽  
Vol 193 (5) ◽  
Author(s):  
Lei Liu ◽  
Xin Ma ◽  
Wei Wen ◽  
Chang Sun ◽  
Jiao Jiao
2020 ◽  
Author(s):  
Arman Pouyaei ◽  
Yunsoo Choi ◽  
Jia Jung ◽  
Bavand Sadeghi ◽  
Chul Han Song

Abstract. This paper introduces a reliable and comprehensive Lagrangian output (Concentration Trajectory Route of Air pollution with Integrated Lagrangian model, C-TRAIL version 1.0) from an Eulerian air quality model for validating the source-receptor link by following real polluted air masses. To investigate the concentrations and trajectories of air masses simultaneously, we implement the trajectory-grid (TG) Lagrangian advection scheme in the CMAQ (Community Multiscale Air Quality) Eulerian model version 5.2. The TG algorithm follows the concentrations of representative air packets of species along trajectories determined by the wind field. The generated output from C-TRAIL accurately identifies the origins of pollutants. For validation, we analyzed the results of C-TRAIL during the KORUS-AQ campaign over South Korea. Initially, we implemented C-TRAIL in a simulation of CO concentrations with an emphasis on the long- and short-range transport effect. The output from C-TRAIL reveals that local trajectories were responsible for CO concentrations over Seoul during the stagnant period (May 17–22, 2016) and during the extreme pollution period (May 25–28, 2016), highly polluted air masses from China were distinguished as sources of CO transported to the Seoul Metropolitan Area (SMA). We conclude that long-range transport played a crucial role in high CO concentrations over the receptor area during this period. Furthermore, for May 2016, we find that the potential sources of CO over that SMA were the result of either local transport or long-range transport from the Shandong Peninsula and, in some cases, from north of the SMA. By identifying the trajectories of CO concentrations, one can use the results from C-TRAIL to directly link strong potential sources of pollutants to a receptor in specific regions during various time frames.


2012 ◽  
Vol 46 (2) ◽  
pp. 226-233 ◽  
Author(s):  
Mariana Maleronka Ferron ◽  
André Klafke de Lima ◽  
Paulo Hilário Nascimento Saldiva ◽  
Nelson Gouveia

OBJECTIVE: To estimate the prevalence of lead poisoning in children and to identify associated factors, as well as possible local sources of contamination. METHODS: A cross-sectional prevalence study conducted in 2006 with a random sample of 97 children age zero to five years from a neighborhood in Porto Alegre, Southern Brazil. Blood lead levels were measured and a questionnaire administered to collect information on sociodemographics, recycling and dwelling. A preliminary environmental evaluation was carried out with direct analysis of soil and indirect analysis of air pollution with bioindicators to identify possible sources of contamination. To analyze lead concentrations from the different collection sites, for each type of material studied, ANOVA was performed with a Brown-Forsythe adjustment for heteroscedasticity and with Dunnett's T3 procedure for multiple comparisons of unequal variances. RESULTS: Blood lead levels > 10.0 µg/dL was found in 16.5% of children. Recycling of waste at home, low father's education level, and increased age of children were associated with increase blood lead levels. High lead levels were found in soil, and there was little indication of lead air pollution. CONCLUSIONS: A high prevalence of lead poisoning was identified, and the potential sources of contamination in this community appear related to waste recylcing activities. Studies should be conducted with other populations of Brazilian children and evaluate potential sources of local and general contamination, to accurately characterize this issue in Brazil.


2014 ◽  
Vol 494-495 ◽  
pp. 84-96 ◽  
Author(s):  
Mauro Masiol ◽  
Claudio Agostinelli ◽  
Gianni Formenton ◽  
Enzo Tarabotti ◽  
Bruno Pavoni

2015 ◽  
Vol 15 (7) ◽  
pp. 11111-11141 ◽  
Author(s):  
B. Han ◽  
R. Zhang ◽  
W. Yang ◽  
Z. Bai ◽  
Z. Ma ◽  
...  

Abstract. Heavy air pollution episodes occurred in Beijing in January 2013 attracted intensively attention around the whole world. During this period, the authors conducted highly time-resolved measurements of water soluble ions associated with PM2.5 at an urban site, and attempted to distinguish the ion chemistry and potential sources. In this study, hourly mean concentrations of Cl−, NO3−, SO42−, Na+, NH4+, K+, Mg2+ and Ca2+ were measured during the air pollution episode in January 2013, and the ions were found to exist mainly in the form of (NH4)2SO4, NH4NO3, NaCl and KCl in aerosol particles by correlation and linear analysis. SO42− and NO3− were observed peak concentrations in 10–15, 18–20, 21–24, and 26–30 January during this monitoring campaign. The percentage of SO42− and NH4+ in total ions concentrations exhibited an increasing trend with the enhancement of PM2.5 concentration, indicating high concentrations of SO42− and NH4+ had played important roles in the formation of air pollution episodes. Ratio of [NO3−]/[SO42−] was calculated, finding the sources of SO42− would contribute more to the formation of PM2.5 than mobile sources. Diurnal variations of SO42−, NO3−, NH4+ were examined, and all of them exhibited similar pattern with high concentration in night and relative low level at daytime. Emission from coal combustion, remote transportation at night or impact of meteorological was likely to be responsible for the high level of SO42−, NH4+ andNO3−. Potential sources were identified by applying PMF. Secondary nitrate, secondary sulfate, coal combustion and biomass burning, as well as fugitive dust were considered as the major contributors to total ions.


2011 ◽  
Vol 6 (1) ◽  
pp. 33 ◽  
Author(s):  
Daniel Müller ◽  
Doris Klingelhöfer ◽  
Stefanie Uibel ◽  
David A Groneberg

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