Long Term Forecasting of Ambient Air Quality Using Deep Learning Approach

2020 ◽  
Author(s):  
K. Krishna Rani Samal ◽  
Korra Sathya Babu ◽  
Abhirup Acharya ◽  
Santos Kumar Das
Keyword(s):  
Deep Learning ◽  
Air Quality ◽  
Ambient Air ◽  
Learning Approach ◽  
Ambient Air Quality ◽  
Long Term Forecasting

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
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Quantification Method ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Long-Term Atmospheric Visibility Trends and Characteristics of 31 Provincial Capital Cities in China during 1957–2016

Atmosphere ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 318 ◽  
Author(s):  
Weicong Fu ◽  
Ziru Chen ◽  
Zhipeng Zhu ◽  
Qunyue Liu ◽  
Jinda Qi ◽  
...  
Keyword(s):  
Air Quality ◽  
Socioeconomic Factors ◽  
Urban Areas ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Capital Cities ◽  
The Public ◽  
Provincial Capital

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.

Pollutants Concentrations in Ambient Air and their Relationship in the Spring of Beijing

2014 ◽  
Vol 852 ◽  
pp. 780-784 ◽  
Author(s):  
Jie Liu ◽  
Peng Yang ◽  
Wen Sheng Lv
Keyword(s):  
Air Quality ◽  
Urban Area ◽  
Monitoring System ◽  
Ambient Air ◽  
Mean Value ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Chinese Standard ◽  
Relationship Of

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.

Associations between respiratory health and ambient air quality in Canakkale, Turkey: a long-term cohort study

2018 ◽  
Vol 25 (13) ◽  
pp. 12915-12931 ◽  
Author(s):  
Sibel Mentese ◽  
Coskun Bakar ◽  
Nihal Arzu Mirici ◽  
Sibel Oymak ◽  
Muserref Tatman Otkun
Keyword(s):  
Cohort Study ◽  
Air Quality ◽  
Respiratory Health ◽  
Ambient Air ◽  
Ambient Air Quality

Application of Electron Optics to Characterization of Particulate Pollutants

1972 ◽  
Vol 30 ◽  
pp. 364-365
Author(s):  
J. B. Moran ◽  
J. L. Miller
Keyword(s):  
Air Quality ◽  
Quality Standards ◽  
Ambient Air ◽  
Hazardous Substances ◽  
Fuel Additives ◽  
Ambient Air Quality ◽  
Air Quality Standards ◽  
Emission Standards ◽  
Stationary Sources ◽  
Ambient Air Quality Standards

The Clean Air Act Amendments of 1970 provide the basis for a dramatic change in Federal air quality programs. The Act establishes new standards for motor vehicles and requires EPA to establish national ambient air quality standards, standards of performance for new stationary sources of pollution, and standards for stationary sources emitting hazardous substances. Further, it establishes procedures which allow states to set emission standards for existing sources in order to achieve national ambient air quality standards. The Act also permits the Administrator of EPA to register fuels and fuel additives and to regulate the use of motor vehicle fuels or fuel additives which pose a hazard to public health or welfare.National air quality standards for particulate matter have been established. Asbestos, mercury, and beryllium have been designated as hazardous air pollutants for which Federal emission standards have been proposed.

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