scholarly journals Quantification Method for Electrolytic Sensors in Long-Term Monitoring of Ambient Air Quality

Sensors ◽  
2015 ◽  
Vol 15 (10) ◽  
pp. 27283-27302 ◽  
Author(s):  
Nicholas Masson ◽  
Ricardo Piedrahita ◽  
Michael Hannigan
Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 318 ◽  
Author(s):  
Weicong Fu ◽  
Ziru Chen ◽  
Zhipeng Zhu ◽  
Qunyue Liu ◽  
Jinda Qi ◽  
...  

Millions of pulmonary diseases, respiratory diseases, and premature deaths are caused by poor ambient air quality in developing countries, especially in China. A proven indicator of ambient air quality, atmospheric visibility (AV), has displayed continuous decline in China’s urban areas. A better understanding of the characteristics and the factors affecting AV can help the public and policy makers manage their life and work. In this study, long-term AV trends (from 1957–2016, excluding 1965–1972) and spatial characteristics of 31 provincial capital cities (PCCs) of China (excluding Taipei, Hong Kong, and Macau) were investigated. Seasonal and annual mean values of AV, percentage of ‘good’ (≥20 km) and ‘bad’ AV (<10 km), cumulative percentiles and the correlation between AV, socioeconomic factors, air pollutants and meteorological factors were analyzed in this study. Results showed that annual mean AV of the 31 PCCs in China were 14.30 km, with a declining rate of −1.07 km/decade. The AV of the 31 PCCs declined dramatically between 1973–1986, then plateaued between 1987–2006, and rebounded slightly after 2007. Correlation analysis showed that impact factors (e.g., urban size, industrial activities, residents’ activities, urban greening, air quality, and meteorological factors) contributed to the variation of AV. We also reveal that residents’ activities are the primary direct socioeconomic factors on AV. This study hopes to help the public fully understand the characteristics of AV and make recommendations about improving the air environment in China’s urban areas.


2014 ◽  
Vol 852 ◽  
pp. 780-784 ◽  
Author(s):  
Jie Liu ◽  
Peng Yang ◽  
Wen Sheng Lv

The data from the air quality auto monitoring system in main urban area of Beijing were used to analyze the concentrations and relationship of six pollutants including gaseous pollutants O3, CO, SO2, NO2 and particulates PM10, PM2.5 in the spring of 2013. During this time gaseous pollutants caused little pollution and was acceptable. The particulates caused more pollution to ambient air quality especially in PM2.5 and their concentrations were far above the annual mean value of Chinese standard. The concentrations of PM10 and PM2.5 had similar variation trend and their correlation was significant particularly. AQI showed long-term situation in slight pollution in the spring of Beijing with PM2.5, and residents gathered pollution was still more serious.


2014 ◽  
Vol 86 ◽  
pp. 113-119 ◽  
Author(s):  
Pavlos Panteliadis ◽  
Maciej Strak ◽  
Gerard Hoek ◽  
Ernie Weijers ◽  
Saskia van der Zee ◽  
...  

2018 ◽  
Vol 25 (13) ◽  
pp. 12915-12931 ◽  
Author(s):  
Sibel Mentese ◽  
Coskun Bakar ◽  
Nihal Arzu Mirici ◽  
Sibel Oymak ◽  
Muserref Tatman Otkun

2018 ◽  
Vol 633 ◽  
pp. 738-744 ◽  
Author(s):  
J. Parera ◽  
B.H. Aristizabal ◽  
M.G. Martrat ◽  
M.A. Adrados ◽  
J. Sauló ◽  
...  

2018 ◽  
Vol 142 ◽  
pp. 119-129 ◽  
Author(s):  
Junjie Liu ◽  
Xilei Dai ◽  
Xiangdong Li ◽  
Susu Jia ◽  
Jingjing Pei ◽  
...  

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