2018IOP Conference Series Earth and Environmental ScienceOpen access

Analysis on the Temporal and Spatial Characteristics of Air Quality in the Main Urban Area of Jinan City

Qian Gao, Qiang Zhao, Chunhui Zou, Dan Xiong

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Abstract

According to the monitoring data of air pollutants in Jinan City and Jinan Statistical Yearbook from 2005 to 2016, the space-time variation characteristics of mean concentration were analyzed. Although the overall air pollution in Jinan City was relatively serious, there was a generally lowering tendency in recent years. Firstly, the average concentration of SO 2 increased from 2005 to 2016, and then decreased, with the maximum concentration of 93ug/m 3 appearing in 2013. The average concentration of PM 10 showed a slow decline during 2005-2012. At the turning point in 2013, the average concentration increased suddenly, reaching a maximum of 191ug/m 3 . As far as NO 2 is concerned, its annual change trend is analogous to that of SO 2 . The average monthly concentration presented a serious seasonal variation, with severe pollution in winter and light pollution in summer. Secondly, on the part of the spatial distribution, the concentration of pollutants in the central and northern parts of the main urban area of Jinan was higher, while that in the south was lower. Last but not least, correlation analysis shows that there is a significant negative correlation between SO 2 , PM 10 , NO 2 and temperature. The maximum correlation coefficient is −0.868, and the correlation is strong. PM 10 is positively correlated with atmospheric pressure, with a correlation coefficient of 0.701, which is negatively correlated with relative humidity and precipitation.

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According to the monitoring data of air pollutants in Jinan City and Jinan Statistical Yearbook from 2005 to 2016, the space-time variation characteristics of mean concentration were analyzed. Although the overall air pollution in Jinan City was relatively serious, there was a generally lowering tendency in recent years. Firstly, the average concentration of SO 2 increased from 2005 to 2016, and then decreased, with the maximum concentration of 93ug/m 3 appearing in 2013. The average concentration of PM 10 showed a slow decline during 2005-2012. At the turning point in 2013, the average concentration increased suddenly, reaching a maximum of 191ug/m 3 . As far as NO 2 is concerned, its annual change trend is analogous to that of SO 2 . The average monthly concentration presented a serious seasonal variation, with severe pollution in winter and light pollution in summer. Secondly, on the part of the spatial distribution, the concentration of pollutants in the central and northern parts of the main urban area of Jinan was higher, while that in the south was lower. Last but not least, correlation analysis shows that there is a significant negative correlation between SO 2 , PM 10 , NO 2 and temperature. The maximum correlation coefficient is −0.868, and the correlation is strong. PM 10 is positively correlated with atmospheric pressure, with a correlation coefficient of 0.701, which is negatively correlated with relative humidity and precipitation.

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Available abstract

According to the monitoring data of air pollutants in Jinan City and Jinan Statistical Yearbook from 2005 to 2016, the space-time variation characteristics of mean concentration were analyzed. Although the overall air pollution in Jinan City was relatively serious, there was a generally lowering tendency in recent years. Firstly, the average concentration of SO 2 increased from 2005 to 2016, and then decreased, with the maximum concentration of 93ug/m 3 appearing in 2013. The average concentration of PM 10 showed a slow decline during 2005-2012. At the turning point in 2013, the average concentration increased suddenly, reaching a maximum of 191ug/m 3 . As far as NO 2 is concerned, its annual change trend is analogous to that of SO 2 . The average monthly concentration presented a serious seasonal variation, with severe pollution in winter and light pollution in summer. Secondly, on the part of the spatial distribution, the concentration of pollutants in the central and northern parts of the main urban area of Jinan was higher, while that in the south was lower. Last but not least, correlation analysis shows that there is a significant negative correlation between SO 2 , PM 10 , NO 2 and temperature. The maximum correlation coefficient is −0.868, and the correlation is strong. PM 10 is positively correlated with atmospheric pressure, with a correlation coefficient of 0.701, which is negatively correlated with relative humidity and precipitation.

Key concepts: Environmental science, Correlation coefficient, Relative humidity, Pollutant, Atmospheric sciences, Pollution, Precipitation, Air quality index

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