Spatial analysis of air masses backward trajectories in order to identify distant sources of fine particulate matter emission / Analiza przestrzenna wstecznych trajektorii mas powietrza w celu rozpoznania odległych źródeł emisji pyłu drobnego

Godlowska, J.; Hajto, Monika J.; Tomaszewska, Agnieszka

doi:10.1515/aep-2015-0015

Cited by 13 publications

(8 citation statements)

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“…Analysis of trajectories is widely used in order to identify the most probable location of air pollution sources (Cesari et al 2014;Godłowska et al 2015) as well as any pollen source location or movement (Smith et al 2005;Stach et al 2007;Bilińska et al 2017). The back-trajectories were used in a study conducted by Skjøth et al (2015) which investigated the source of Betula pollen in Wrocław and Worcester.…”

Section: Discussionmentioning

confidence: 99%

The variability of pollen concentrations at two stations in the city of Wrocław in Poland

et al. 2019

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The aim of the study was to investigate the variability of Alnus and Corylus pollen concentrations at two stations located in the city of Wrocław, Poland-one at the city centre and the other 4 km from the city centre. Our goal was to compare measurements from these stations in relation to meteorology and land cover. We used Spearman's correlation coefficient to investigate any dependence between meteorological factors and pollen concentration. Additionally, to check the relation between the direction of inflow of air masses and pollen concentration, we calculated the backward trajectories using the HYSPLIT model. The results have shown that despite the short distance between the stations, the characteristic of the pollen season is different for both stations (i.a. date of start and end of pollen season, duration of the season). The Spearman's correlation coefficient between relative humidity and air temperature and pollen concentration was found to be statistically significant. The backward trajectories calculated with HYSPLIT suggested a different origin of air masses between stations for high-concentration episodes in the case of Alnus. Our study has shown that analysis of meteorological conditions and influence of air transport into pollen concentration makes it possible to ascertain the reasons for differences in pollen level at these two stations, both of which are located in the same climatological domain. The study also shows that the aerobiological condition may change significantly over a short distance, which is a major challenge, for example, for pollen emission, transport, and concentration modelling.Keywords Pollen Á HYSPLIT Á Meteorological conditions Á Back-trajectories IntroductionCorylus (hazel) and Alnus (alder) are trees which release first pollen grains that are measured in the air of Poland each year (Puc and Kasprzyk 2013). According to research conducted by Rapiejko et al. (2007) in Poland, the first symptoms of allergy of sensitized people to these taxa appear in low concentrations of pollen: for hazel, the threshold value is 35 pollen grains per cubic meter of air (pollen grains m -3 ) and for alder 45 pollen grains m -3 , whereas symptoms for all sensitized people are observed at slightly higher pollen concentration amounting to 80 pollen grains m -3 in the case of Corylus and 85 pollen grains m -3 in the case of Alnus.

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Section: Discussionmentioning

confidence: 99%

The variability of pollen concentrations at two stations in the city of Wrocław in Poland

et al. 2019

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“…In the HYSPLIT model, the plume trajectories and dispersions of PM 2.5 are simulated based on the Bluesky model in which the GDAS archive is set up as default input meteorological data. The GDAS data have resulted in the enhanced data assimilation methods, having the highest horizontal, vertical and temporal resolution (Godłowska et al 2015). Also, using a 1-km 2 resolution for input values might contribute to the differences in the calculated results of PM 2.5 concentrations.…”

Section: Discussionmentioning

confidence: 99%

Assessing the health impacts of peatland fires: a case study for Central Kalimantan, Indonesia

Uda

Hein

Atmoko

2019

Environ Sci Pollut Res

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The conversion of Indonesian tropical peatlands has been associated with the recurring problems of peatland fires and smoke affecting humans and the environment. Yet, the local government and public in the affected areas have paid little attention to the impacts and costs of the poor air quality on human health. This study aims to analyse the long-term health impacts of the peat smoke exposure to the local populations. We applied the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to determine the smoke dispersion and the associated PM2.5 concentrations of the resulted plumes from the fire hotspots in the deep and shallow peatlands in Central Kalimantan, Indonesia, that occurred during a 5-year period (2011–2015). We subsequently quantified the long-term health impacts of PM2.5 on the local people down to the village level based on the human health risk assessment approach. Our study shows that the average increase in the annual mean PM2.5 concentration due to peatland fires in Central Kalimantan was 26 μg/m3 which is more than twice the recommended value of the World Health Organisation Air Quality Guidelines. This increase in PM2.5 leads to increased occurrence of a range of air pollution–related diseases and premature mortality. The number of premature mortality cases can be estimated at 648 cases per year (26 mortality cases per 100,000 population) among others due to chronic respiratory, cardiovascular and lung cancer. Our results shed further light on the long-term health impacts of peatland fires in Indonesia and the importance of sustainable peatland management.

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“…The Global Data Assimilation System (GDAS), provided by the National Environmental Forecast Center (NCEP) [40], was (metrological data: GDAS 0.5 • ) used in the backward trajectory model to determine the transport pathways of the pollutant air mass from its potential source areas to the monitoring site. The meteorology from GDAS at spatial resolution of 0.5 • × 0.5 • is the most commonly used for backward trajectory studies [41,42]. The meteorological factors include ambient temperature, atmospheric pressure, relative humidity, surface precipitation, horizontal and vertical wind speeds, and directions.…”

Section: Air-mass Backward Trajectoriesmentioning

confidence: 99%

Temporal Variation and Source Analysis of Carbonaceous Aerosol in Industrial Cities of Northeast China during the Spring Festival: The Case of Changchun

Zhang

Bao

et al. 2020

Atmosphere

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Carbonaceous aerosol, one of the major components of atmospheric aerosols, significantly affects haze episodes, climate change, and human health. Northeastern China suffers severe air pollution, especially in some periods (e.g., the Spring Festival). However, studies on carbonaceous aerosols in typical northeast industrial cities (i.e., Changchun) are rare, limiting further comprehension of the atmospheric haze formation. In this study, we monitored the concentrations of carbonaceous aerosols (i.e., OC and EC) in Changchun during the Lunar New Year of 2018 (i.e., from Lunar 20 December to Lunar 20 January), and analyzed the temporal variation and source contributions via the HYbrid-Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model with the potential source contribution factor weights (PSCF) method. The daily concentrations of OC and EC were 9.00 ± 2.81 and 1.57 ± 0.46 µg m−3, respectively, and were significantly lower at nighttime than at the day during the Spring Festival. The concentrations during the major period (i.e., OC: 8.13 ± 2.93 µg m−3; EC: 1.47 ± 0.47 µg m−3 in festival days), including the Lunar Little New Year; the Lunar New Year’s Eve; New Year’s Day; Lunar 5 January, and the Spring Lantern Festival, were mainly from the northwestward with the wind speed of 4–6 m/s being lower than that of normal period (OC: 9.87 ± 2.46 µg m−3; EC: 1.67 ± 0.44 µg m−3) from the southeastward with a wind speed of 6–7 m/s. The direction of the airflow trajectory was mainly in local, northwestward, and northward, carrying particulate matter and gaseous pollutants. In major period, the daily concentration of atmospheric pollutants presented a bimodal trend, with peaks appearing regularly from 11:00 a.m. to 12:00 p.m. and 5:00 p.m. 10:00 p.m., which might be related to traffic, cooking, and firecrackers. The OC/EC was greater than 2 during the whole period, indicating the generation of secondary organic aerosols (i.e., SOC). This study was essential to understand the formation mechanisms of severe pollution episodes and develop control measures for the industrial cities of Northeast China during the Spring Festival.

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Spatial analysis of air masses backward trajectories in order to identify distant sources of fine particulate matter emission / Analiza przestrzenna wstecznych trajektorii mas powietrza w celu rozpoznania odległych źródeł emisji pyłu drobnego

Cited by 13 publications

References 14 publications

The variability of pollen concentrations at two stations in the city of Wrocław in Poland

The variability of pollen concentrations at two stations in the city of Wrocław in Poland

Assessing the health impacts of peatland fires: a case study for Central Kalimantan, Indonesia

Temporal Variation and Source Analysis of Carbonaceous Aerosol in Industrial Cities of Northeast China during the Spring Festival: The Case of Changchun

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