scholarly journals Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013–2014

2014 ◽  
Vol 73 ◽  
pp. 413-422 ◽  
Author(s):  
Yungang Wang ◽  
Qi Ying ◽  
Jianlin Hu ◽  
Hongliang Zhang
Keyword(s):  
Air Pollutants ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Capital Cities ◽  
Criteria Air Pollutants ◽  
Provincial Capital

scholarly journals Spatial and Temporal Variations of Six Criteria Air Pollutants in Fujian Province, China

2018 ◽  
Vol 15 (12) ◽  
pp. 2846 ◽  
Author(s):  
Weicong Fu ◽  
Ziru Chen ◽  
Zhipeng Zhu ◽  
Qunyue Liu ◽  
Cecil van den Bosch ◽  
...  
Keyword(s):  
Air Pollution ◽  
Urban Areas ◽  
Air Pollutants ◽  
Ambient Air ◽  
Temporal Variations ◽  
Air Pollutant ◽  
Spatial And Temporal Variations ◽  
Effective Control ◽  
Fujian Province ◽  
Criteria Air Pollutants

Air pollution has become a critical issue in the urban areas of southeastern China in recent years. A complete understanding of the tempo-spatial characteristics of air pollution can help the public and governmental bodies manage their lives and work better. In this study, data for six criteria air pollutants (including particulate matter (PM2.5, PM10), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3)) from 37 sites in nine major cities within Fujian Province, China were collected between January 2015 to December 2016, and analyzed. We analyzed the spatial and temporal variations of these six criteria pollutants, as well as the attainment rates, and identified what were the major pollutants. Our results show that: (1) the two-year mean values of PM2.5 and PM10 exceeded the Chinese National Ambient Air Quality Standard (CAAQS) standard I levels, whereas other air pollutants were below the CAAQS standard I; (2) the six criteria air pollutants show spatial variations (i.e. most air pollutants were higher in the city center areas, followed by suburban areas and exurban areas, except for O3; and the concentrations of PM10, PM2.5, NO2, O3 were higher in coastal cities than in inland cities); (3) seasonal variations and the no attainment rates of air pollutants were found to be higher in cold seasons and lower in warm seasons, except for O3; (4) the most frequently present air pollutant was PM10, with PM2.5 and O3 being the second and third most frequent, respectively; (5) all the air pollutants, except O3, showed positive correlations with each other. These results provide additional information for the effective control of air pollution in the province of Fujian.

scholarly journals Seasonal and Temporal Variations of Criteria Air Pollutants and the Influence of Meteorological Parameters on the Concentration of Pollutants in Ambient Air in Lahore, Pakistan

2016 ◽  
Vol 59 (1) ◽  
pp. 34-42
Author(s):  
Amtul Bari Tabinda ◽  
Saleha Munir ◽  
Abdullah Yasar ◽  
Asad Ilyas
Keyword(s):  
Wind Speed ◽  
Solar Radiation ◽  
Negative Correlation ◽  
Air Pollutants ◽  
Meteorological Parameters ◽  
Ambient Air ◽  
Temporal Variations ◽  
Criteria Air Pollutants ◽  
Summer Minimum ◽  
One Year

Criteria air pollutants have their significance for causing health threats and damage to theenvironment. The study was conducted to assess the seasonal and temporal variations of criteria air pollutantsand evaluating the correlations of criteria air pollutants with meteorological parameters in the city ofLahore, Pakistan for a period of one year from April 2010 to March 2011. The concentrations of criteriaair pollutants were determined at fixed monitoring stations equipped with HORIBA analyzers. The annualaverage concentrations (µg/m3) of PM2.5, O3, SO2, CO and NOx (NO+NO2) for this study period were118.94±57.46, 46.0±24.2, 39.9±8.9, 1940±1300 and 130.9±81.0 (61.8±46.2+57.3±22.19), respectively.PM2.5, SO2, CO and NOx had maximum concentrations during winter whereas O3 had maximum concentrationduring summer. Minimum concentrations of PM2.5, SO2 and NOx were found during monsoon as comparedto other seasons due to rainfall which scavenged these pollutants. The O3 showed positive correlation withtemperature and solar radiation but negative correlation with wind speed. All other criteria air pollutantsshowed negative correlation with wind speed, temperature and solar radiation. A significant (P<0.01)correlation was found between NOx and CO (r = 0.779) which showed that NOx and CO arise from commonsource that could be the vehicular emission. PM2.5 was significantly correlated (P<0.01) with NOx (r = 0.524)and CO (r = 0.519), respectively. High traffic intensity and traffic jams were responsible for increased airpollutants level especially the PM2.5, NOx and CO.

Spatial and Temporal Variations of Atmospheric PM10 and Air Pollutants Concentration in Upper Northern Thailand During 2006–2016

2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Radshadaporn Janta ◽  
Kazuhiko Sekiguchi ◽  
Ryosuke Yamaguchi ◽  
Khajornsak Sopajaree ◽  
Bandhita Plubin ◽  
...  
Keyword(s):  
Air Pollutants ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Northern Thailand

scholarly journals Relationship between Air Pollutants and Economic Development of the Provincial Capital Cities in China during the Past Decade

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104013 ◽  
Author(s):  
Yunpeng Luo ◽  
Huai Chen ◽  
Qiu'an Zhu ◽  
Changhui Peng ◽  
Gang Yang ◽  
...  
Keyword(s):  
Economic Development ◽  
Air Pollutants ◽  
Capital Cities ◽  
The Past ◽  
Provincial Capital

scholarly journals Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Hong Guo ◽  
Xingfa Gu ◽  
Guoxia Ma ◽  
Shuaiyi Shi ◽  
Wannan Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Spatial Resolution ◽  
Air Pollutants ◽  
Control Policy ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Quality Data ◽  
Anthropogenic Factors ◽  
Air Pollution Control

Abstract Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pollutants are still unknown for China until now. Therefore, in this paper, we analyze the spatial and temporal variations of air quality and six air pollutants in 366 cities across mainland China during 2015–2017 for the first time to the best of our knowledge. The results indicate that the annual mean mass concentrations of PM2.5, PM10, SO2, and CO all decreased year by year during 2015–2017. However, the annual mean NO2 concentrations were almost unchanged, while the annual mean O3 concentrations increased year by year. Anthropogenic factors were mainly responsible for the variations of air quality. Further analysis suggested that PM2.5 and PM10 were the main factors influencing air quality, while NO2 played an important role in the formation of PM2.5 and O3. These findings can provide a theoretical basis for the formulation of future air-pollution control policy in China.

scholarly journals Characteristics of Surface Ozone in Five Provincial Capital Cities of China during 2014–2015

Atmosphere ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 107 ◽  
Author(s):  
Xin Wang ◽  
Zhenxing Shen ◽  
Zhuoyue Tang ◽  
Guohui Li ◽  
Yali Lei ◽  
...  
Keyword(s):  
Surface Ozone ◽  
Early Morning ◽  
Control Measures ◽  
Affecting Factors ◽  
Capital Cities ◽  
Criteria Air Pollutants ◽  
Significant Difference ◽  
Provincial Capital ◽  
Great Divergence ◽  
Elevated Surface

Ozone (O3) pollution has become an increasing concern in China since elevated surface O3 concentrations were observed in recent years. In this study, five provincial cities (Beijing, Shanghai, Guangzhou, Xi’an, and Hefei) located in different regions of China were selected to study the spatiotemporal variations and affecting factors of O3 concentrations during 2014–2015. Beijing, Shanghai, and Guangzhou had suffered more severe O3 pollution, yet Beijing had the highest number of days that exceeded the Chinese MDA8 (maximum daily 8 h average) standard of 160 µg m−3. MDA8 O3 exhibited different seasonal patterns among the five cities. In Beijing and Xi’an, MDA8 O3 showed the highest in summer and lowest in winter. Guangzhou also had the highest O3 concentration in summer, but had similar levels in other three seasons. The O3 levels were similarly high in Shanghai during spring, summer, and autumn, while in Hefei, O3 concentration peaked in autumn. No significant difference between weekend and weekday O3 levels was observed in all the five cities. The diurnal cycle reached a maximum in the afternoon and a minimum in the early morning, which was consistent in the five cities. Correlation analyses showed that the associations between O3 and the other five criteria air pollutants, as well as meteorological parameters, were substantially different among the five cities. Air mass cluster analyses during episodic days revealed that the short-distance transport of O3 and its precursors had a greater impact for high O3 pollution in the five cities. Overall, our results demonstrate that O3 pollution exhibited great divergence among different regions and thus region-oriented control measures are suggested to reduce O3 pollution in China.

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