Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China
To find out the characteristics and sources of atmospheric pollutants during heating period in Shenyang, the study investigated the temporal and spatial distribution of pollutants, using data of six typical atmospheric pollutants (SO2, NO2, PM10, PM2.5, O3, and CO) from November 2017 to March 2018 in 11 monitoring stations in Shenyang. These features were combined with the HYSPLIT model for backward trajectory simulation of heavily polluted weather. PM10 and PM2.5 are the main pollutants during heating period in Shenyang, with average concentrations of 90.26 μg/m3 and 56.92 μg/m3, respectively. The concentrations of various types of contaminants at the Taiyuan Street station were relatively high. PM10 and PM2.5 were relatively high in the southwestern area of Shenyang, gradually decreasing to the northeast. Only one heavy pollution event occurred during heating period in 2018. The results of the backward trajectory analysis of this heavy pollution event using HYSPLIT show that air masses from inland areas such as the southwest and northwest brought some particulate matter and atmospheric pollutants, which exacerbated Shenyang Air pollution in the city.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:193 |
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| Enthalten in: |
Environmental monitoring and assessment - 193(2020), 1 vom: 14. Dez., Seite 9 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ma, Yunfeng [VerfasserIn] |
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| Links: |
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| Themen: |
Air Pollutants |
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| Anmerkungen: |
Date Completed 16.12.2020 Date Revised 16.12.2020 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s10661-020-08767-4 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM318845431 |
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| 500 | |a Date Revised 16.12.2020 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a To find out the characteristics and sources of atmospheric pollutants during heating period in Shenyang, the study investigated the temporal and spatial distribution of pollutants, using data of six typical atmospheric pollutants (SO2, NO2, PM10, PM2.5, O3, and CO) from November 2017 to March 2018 in 11 monitoring stations in Shenyang. These features were combined with the HYSPLIT model for backward trajectory simulation of heavily polluted weather. PM10 and PM2.5 are the main pollutants during heating period in Shenyang, with average concentrations of 90.26 μg/m3 and 56.92 μg/m3, respectively. The concentrations of various types of contaminants at the Taiyuan Street station were relatively high. PM10 and PM2.5 were relatively high in the southwestern area of Shenyang, gradually decreasing to the northeast. Only one heavy pollution event occurred during heating period in 2018. The results of the backward trajectory analysis of this heavy pollution event using HYSPLIT show that air masses from inland areas such as the southwest and northwest brought some particulate matter and atmospheric pollutants, which exacerbated Shenyang Air pollution in the city | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Backward trajectory | |
| 650 | 4 | |a Heating period | |
| 650 | 4 | |a Northeast China | |
| 650 | 4 | |a Spatial distribution | |
| 650 | 7 | |a Air Pollutants |2 NLM | |
| 650 | 7 | |a Particulate Matter |2 NLM | |
| 700 | 1 | |a Wang, Maibo |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Shuai |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yue |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Lei |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Kaiyu |e verfasserin |4 aut | |
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