Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China

Air pollution shows a generally decreasing trend from the north to the south in China since 2013 (GB3095-2012, the current standard for monitoring). However, an opposite observation was recorded in 2017, especially in winter. In this study, we collected monitoring data of six air pollutants in 2016...

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Main Authors: Haitao Zhou, Yueming Yu, Xuan Gu, Yun Wu, Mei Wang, Hao Yue, Jiale Gao, Ruoyuan Lei, Xinlei Ge
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/3/253
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author Haitao Zhou
Yueming Yu
Xuan Gu
Yun Wu
Mei Wang
Hao Yue
Jiale Gao
Ruoyuan Lei
Xinlei Ge
author_facet Haitao Zhou
Yueming Yu
Xuan Gu
Yun Wu
Mei Wang
Hao Yue
Jiale Gao
Ruoyuan Lei
Xinlei Ge
author_sort Haitao Zhou
collection DOAJ
description Air pollution shows a generally decreasing trend from the north to the south in China since 2013 (GB3095-2012, the current standard for monitoring). However, an opposite observation was recorded in 2017, especially in winter. In this study, we collected monitoring data of six air pollutants in 2016 and 2017, from a northern city (Beijing) and a southern city (Nanjing) for comparison. As air pollution was highly dependent upon meteorological conditions, we further analyzed their relationships to explain this abnormal phenomenon. Seasonal averaged PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, CO, and NO<sub>2 </sub>were negatively correlated with wind scale (WS) while 8-h O<sub>3</sub> exhibited an opposite relationship. Relative humidity (RH) has opposite effects on the concentrations of different pollutants in Beijing and Nanjing. The 8-h O<sub>3</sub> showed the closest positive correlation with temperature (T), which is due to its formation mechanism. In Beijing, decreased RH, together with more wind from northwest in winter, resulted in an improved air quality in 2017. In Nanjing, WS, RH, T, and wind direction fluctuated within a narrow range in each season, leading to relatively stable pollutant concentrations. These results suggest that meteorological conditions are important factors to evaluate the air quality and implement control measures.
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spelling doaj.art-2ffe1558259a4ab9b981d9da965ced482022-12-22T03:40:23ZengMDPI AGAtmosphere2073-44332020-03-0111325310.3390/atmos11030253atmos11030253Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of ChinaHaitao Zhou0Yueming Yu1Xuan Gu2Yun Wu3Mei Wang4Hao Yue5Jiale Gao6Ruoyuan Lei7Xinlei Ge8Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (AEMPC), Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (AEET), School of Environmental Science and Engineering, Nanjing University of Information Science & Technology (NUIST), Nanjing 210044, ChinaAir pollution shows a generally decreasing trend from the north to the south in China since 2013 (GB3095-2012, the current standard for monitoring). However, an opposite observation was recorded in 2017, especially in winter. In this study, we collected monitoring data of six air pollutants in 2016 and 2017, from a northern city (Beijing) and a southern city (Nanjing) for comparison. As air pollution was highly dependent upon meteorological conditions, we further analyzed their relationships to explain this abnormal phenomenon. Seasonal averaged PM<sub>2.5</sub>, PM<sub>10</sub>, SO<sub>2</sub>, CO, and NO<sub>2 </sub>were negatively correlated with wind scale (WS) while 8-h O<sub>3</sub> exhibited an opposite relationship. Relative humidity (RH) has opposite effects on the concentrations of different pollutants in Beijing and Nanjing. The 8-h O<sub>3</sub> showed the closest positive correlation with temperature (T), which is due to its formation mechanism. In Beijing, decreased RH, together with more wind from northwest in winter, resulted in an improved air quality in 2017. In Nanjing, WS, RH, T, and wind direction fluctuated within a narrow range in each season, leading to relatively stable pollutant concentrations. These results suggest that meteorological conditions are important factors to evaluate the air quality and implement control measures.https://www.mdpi.com/2073-4433/11/3/253air pollutionmeteorological parametersbeijingnanjing
spellingShingle Haitao Zhou
Yueming Yu
Xuan Gu
Yun Wu
Mei Wang
Hao Yue
Jiale Gao
Ruoyuan Lei
Xinlei Ge
Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
Atmosphere
air pollution
meteorological parameters
beijing
nanjing
title Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
title_full Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
title_fullStr Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
title_full_unstemmed Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
title_short Characteristics of Air Pollution and Their Relationship with Meteorological Parameters: Northern Versus Southern Cities of China
title_sort characteristics of air pollution and their relationship with meteorological parameters northern versus southern cities of china
topic air pollution
meteorological parameters
beijing
nanjing
url https://www.mdpi.com/2073-4433/11/3/253
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