2018DEStech Transactions on Environment Energy and Earth ScienceRequires access

Characteristics of Air Pollutant Concentration Change and Its Relationship with Meteorological Conditions in Wuhan 2017

Xia-yu LIU, Xiao-ping QU

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Abstract

In order to reveal the law of the influence of meteorological changes on air pollutants, the author collected the air pollution situation and meteorological data of Wuhan in 2017.Through the analysis of meteorological data and air pollutant data, the time-varying curves of Wuhan air quality index (AQI) and major air pollutants PM2.5, PM10, SO2, NO2, CO and O3 were obtained. Through correlation analysis, the relationship curves of AQI, air pollutants and temperature, rainfall and wind changes are given. The results showed that AQI, PM2.5 and PM10 showed significant u-shaped changes at the monthly scale, with a low level from June to October and a high level at the beginning and end of each year. SO2, NO2 and CO showed "V" changes on the monthly scale, with the lowest points appearing in June, July and July respectively. O3 concentration change in "Λ" type change appears on scales, the highest point in July. Through air pollution index and meteorological data correlation analysis found that: with the increase of temperature, AQI, PM2.5, SO2, NO2, CO concentration decreases, and elevated O3 concentration, PM10 concentration changes with the temperature has little to do; Changes in wind direction, wind is one of the important factors affecting atmospheric pollutants concentration changes, no wind for a long time, can lead to air pollutants gathering, but the wind changes can scrape pollutants, may also put the pollutant of the nonlocal, caused by imported pollution; Spring and winter rainfall can remove air pollutants and improve air quality.

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What this paper is about

In order to reveal the law of the influence of meteorological changes on air pollutants, the author collected the air pollution situation and meteorological data of Wuhan in 2017.Through the analysis of meteorological data and air pollutant data, the time-varying curves of Wuhan air quality index (AQI) and major air pollutants PM2.5, PM10, SO2, NO2, CO and O3 were obtained. Through correlation analysis, the relationship curves of AQI, air pollutants and temperature, rainfall and wind changes are given. The results showed that AQI, PM2.5 and PM10 showed significant u-shaped changes at the monthly scale, with a low level from June to October and a high level at the beginning and end of each year. SO2, NO2 and CO showed "V" changes on the monthly scale, with the lowest points appearing in June, July and July respectively. O3 concentration change in "Λ" type change appears on scales, the highest point in July. Through air pollution index and meteorological data correlation analysis found that: with the increase of temperature, AQI, PM2.5, SO2, NO2, CO concentration decreases, and elevated O3 concentration, PM10 concentration changes with the temperature has little to do; Changes in wind direction, wind is one of the important factors affecting atmospheric pollutants concentration changes, no wind for a long time, can lead to air pollutants gathering, but the wind changes can scrape pollutants, may also put the pollutant of the nonlocal, caused by imported pollution; Spring and winter rainfall can remove air pollutants and improve air quality.

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Available abstract

In order to reveal the law of the influence of meteorological changes on air pollutants, the author collected the air pollution situation and meteorological data of Wuhan in 2017.Through the analysis of meteorological data and air pollutant data, the time-varying curves of Wuhan air quality index (AQI) and major air pollutants PM2.5, PM10, SO2, NO2, CO and O3 were obtained. Through correlation analysis, the relationship curves of AQI, air pollutants and temperature, rainfall and wind changes are given. The results showed that AQI, PM2.5 and PM10 showed significant u-shaped changes at the monthly scale, with a low level from June to October and a high level at the beginning and end of each year. SO2, NO2 and CO showed "V" changes on the monthly scale, with the lowest points appearing in June, July and July respectively. O3 concentration change in "Λ" type change appears on scales, the highest point in July. Through air pollution index and meteorological data correlation analysis found that: with the increase of temperature, AQI, PM2.5, SO2, NO2, CO concentration decreases, and elevated O3 concentration, PM10 concentration changes with the temperature has little to do; Changes in wind direction, wind is one of the important factors affecting atmospheric pollutants concentration changes, no wind for a long time, can lead to air pollutants gathering, but the wind changes can scrape pollutants, may also put the pollutant of the nonlocal, caused by imported pollution; Spring and winter rainfall can remove air pollutants and improve air quality.

Key concepts: Pollutant, Environmental science, Air quality index, Air Pollution Index, Air pollution, Air pollutants, Wind speed, Atmospheric sciences

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