Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City

Air pollution is one of the most concerning environmental problems in cities. Hourly data on pollutant concentrations from 11 automatic atmospheric monitoring stations and meteorological data in Shenyang from 2017 to 2019 were used to analyze the spatio-temporal variation rules of CO (carbon monoxid...

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Main Authors: Jiaqi Tian, Chunsheng Fang, Jiaxin Qiu, Ju Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/7/766
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spelling doaj-98a509c4b92c4437bdc3d7c8ea5905732020-11-25T02:17:11ZengMDPI AGAtmosphere2073-44332020-07-011176676610.3390/atmos11070766Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang CityJiaqi Tian0Chunsheng Fang1Jiaxin Qiu2Ju Wang3College of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaCollege of New Energy and Environment, Jilin University, Changchun 130012, ChinaAir pollution is one of the most concerning environmental problems in cities. Hourly data on pollutant concentrations from 11 automatic atmospheric monitoring stations and meteorological data in Shenyang from 2017 to 2019 were used to analyze the spatio-temporal variation rules of CO (carbon monoxide), SO<sub>2</sub> (sulfur dioxide), NO<sub>2</sub> (nitrogen dioxide), O<sub>3</sub> (ozone), PM<sub>2.5</sub> and PM<sub>10</sub> (PM particles with an aerodynamic diameters of not more than 2.5 µm and 10 µm) and their relationships with meteorological parameters. Meanwhile, the regional transmission route of pollutants was analyzed by the hybrid single particle Lagrangian integrated trajectory (HYSPLIT) model. The results showed that the concentration of O<sub>3</sub> in the northern area of the city was higher than that in the south; CO, SO<sub>2</sub> and NO<sub>2</sub> were relatively high in the urban center; and PM<sub>2.5</sub> and PM<sub>10</sub> were relatively high in the southwest. The average concentration of pollutants was lowest in 2019. The concentration of O<sub>3</sub> was the highest in spring, while CO showed no significant variations between different seasons. The remaining pollutant concentrations appeared to be high in winter and low in summer. The cumulative concentrations of the six pollutants were the highest in March, and relatively low in July–September. The diurnal concentration variations of O<sub>3</sub>, CO and SO<sub>2</sub> exhibited a “single peak,” while others showed a “double peak and double valley.” Temperature was positively correlated with O<sub>3</sub> concentration and negatively correlated with others. Wind speed was negatively correlated with the concentration of PM<sub>2.5</sub>, NO<sub>2</sub>, and O<sub>3</sub>. The air quality of the main urban area in spring and summer was mainly affected by the coastal air flow, while it was mostly affected by the northwest air flow in autumn and winter.https://www.mdpi.com/2073-4433/11/7/766air pollutionspatio-temporal variation characteristicsmeteorological parametersbackward trajectory
collection DOAJ
language English
format Article
sources DOAJ
author Jiaqi Tian
Chunsheng Fang
Jiaxin Qiu
Ju Wang
spellingShingle Jiaqi Tian
Chunsheng Fang
Jiaxin Qiu
Ju Wang
Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
Atmosphere
air pollution
spatio-temporal variation characteristics
meteorological parameters
backward trajectory
author_facet Jiaqi Tian
Chunsheng Fang
Jiaxin Qiu
Ju Wang
author_sort Jiaqi Tian
title Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
title_short Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
title_full Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
title_fullStr Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
title_full_unstemmed Analysis of Pollution Characteristics and Influencing Factors of Main Pollutants in the Atmosphere of Shenyang City
title_sort analysis of pollution characteristics and influencing factors of main pollutants in the atmosphere of shenyang city
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2020-07-01
description Air pollution is one of the most concerning environmental problems in cities. Hourly data on pollutant concentrations from 11 automatic atmospheric monitoring stations and meteorological data in Shenyang from 2017 to 2019 were used to analyze the spatio-temporal variation rules of CO (carbon monoxide), SO<sub>2</sub> (sulfur dioxide), NO<sub>2</sub> (nitrogen dioxide), O<sub>3</sub> (ozone), PM<sub>2.5</sub> and PM<sub>10</sub> (PM particles with an aerodynamic diameters of not more than 2.5 µm and 10 µm) and their relationships with meteorological parameters. Meanwhile, the regional transmission route of pollutants was analyzed by the hybrid single particle Lagrangian integrated trajectory (HYSPLIT) model. The results showed that the concentration of O<sub>3</sub> in the northern area of the city was higher than that in the south; CO, SO<sub>2</sub> and NO<sub>2</sub> were relatively high in the urban center; and PM<sub>2.5</sub> and PM<sub>10</sub> were relatively high in the southwest. The average concentration of pollutants was lowest in 2019. The concentration of O<sub>3</sub> was the highest in spring, while CO showed no significant variations between different seasons. The remaining pollutant concentrations appeared to be high in winter and low in summer. The cumulative concentrations of the six pollutants were the highest in March, and relatively low in July–September. The diurnal concentration variations of O<sub>3</sub>, CO and SO<sub>2</sub> exhibited a “single peak,” while others showed a “double peak and double valley.” Temperature was positively correlated with O<sub>3</sub> concentration and negatively correlated with others. Wind speed was negatively correlated with the concentration of PM<sub>2.5</sub>, NO<sub>2</sub>, and O<sub>3</sub>. The air quality of the main urban area in spring and summer was mainly affected by the coastal air flow, while it was mostly affected by the northwest air flow in autumn and winter.
topic air pollution
spatio-temporal variation characteristics
meteorological parameters
backward trajectory
url https://www.mdpi.com/2073-4433/11/7/766
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