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.

scholarly journals Ambient air quality in an urban area and its effects on plants and human beings: a case study of Tiruchirappalli, India

1970 ◽  
Vol 6 (2) ◽  
pp. 13-19 ◽  
Author(s):  
Sirajuddin M Horaginamani ◽  
M Ravichandran
Keyword(s):  
Air Pollution ◽  
Developing Countries ◽  
Air Quality ◽  
Human Health ◽  
Urban Area ◽  
Urban Areas ◽  
Ambient Air ◽  
Control Measures ◽  
Human Beings ◽  
Ambient Air Quality

Though water and land pollution is very dangerous, air pollution has its own peculiarities, due to its transboundary dispersion of pollutants over the entire world. In any well planned urban set up, industrial pollution takes a back seat and vehicular emissions take precedence as the major cause of urban air pollution. Air pollution is one of the serious problems faced by the people globally, especially in urban areas of developing countries like India. All these in turn lead to an increase in the air pollution levels and have adverse effects on the health of people and plants. Western countries have conducted several studies in this area, but there are only a few studies in developing countries like India. A study on ambient air quality in Tiruchirappalli urban area and its possible effects selected plants and human health has been undertaken, which may be helpful to bring out possible control measures. Keywords: ambient air quality; respiratory disorders; APTI; human health DOI: 10.3126/kuset.v6i2.4007Kathmandu University Journal of Science, Engineering and Technology Vol.6. No II, November, 2010, pp.13-19

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 PM2.5 Pollution in Xingtai, China: Chemical Characteristics, Source Apportionment, and Emission Control Measures

Atmosphere ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 121 ◽  
Author(s):  
Jun Hu ◽  
Han Wang ◽  
Jingqiao Zhang ◽  
Meng Zhang ◽  
Hefeng Zhang ◽  
...  
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Urban Areas ◽  
Emission Control ◽  
Clean Energy ◽  
Ambient Air ◽  
Control Measures ◽  
Ambient Air Quality ◽  
Surrounding Areas ◽  
Emission Control Measures

Beijing-Tianjin-Hebei (BTH) and its surrounding areas are one of the most polluted regions in China. Xingtai, as a heavy industrial city of BTH and its surrounding areas, has been experiencing a severe PM2.5 pollution in recent years, characterized by extremely high concentrations of PM2.5. In 2014, PM2.5 mass concentrations monitored by online instruments in urban areas of Xingtai were 116, 77, 128, and 200 µg m−3 in spring, summer, autumn and winter, respectively, with annually average concentrations of 130 µg m−3 exhibiting 3.7 times higher than National Ambient Air Quality Standard (NAAQS) value for PM2.5 (35 µg m−3). To identify PM2.5 emission sources, ambient PM2.5 samples were collected during both cold and warm periods in 2014 in urban areas of Xingtai. Organic carbon (OC), sulfate, nitrate, ammonium and elemental carbon (EC) were the dominant components of PM2.5, accounting for 13%, 11%, 12%, 11% and 8% in the cold period, respectively, and 11%, 12%, 9%, 6%, and 5% in the warm period, respectively. Source apportionment results indicated that coal combustion (24.4%) was the largest PM2.5 emission source, followed by secondary sulfate (22.2%), secondary nitrate (18.4%), vehicle exhaust dust (12.4%), fugitive dust (9.7%), construction dust (5.5%), soil dust (3.4%) and metallurgy dust (1.6%). Based on PM2.5 source apportionment results, some emission control measures, such as replacing bulk coal with clean energy sources, controlling coal consumption by coal-fired boiler upgrades, halting operations of unlicensed small polluters, and controlling fugitive and VOCs emission, were proposed to be implemented in order to improve Xingtai’s ambient air quality.

Characterization of Ambient Air Quality in Selected Urban Areas in Uganda: A Low-Cost Approach

2021 ◽  
Author(s):  
Deo Okure ◽  
Engineer Bainomugisha ◽  
Nancy Lozano-Gracia ◽  
Maria Edisa Soppelsa
Keyword(s):  
Air Quality ◽  
Urban Areas ◽  
Low Cost ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Cost Approach

scholarly journals The Analysis of Meteorological Factors and Ambient Air Quality (PM10, CO, SO2, NO2, and O3) with the Incidence of Acute Respiratory Infection (ARI) in Tangerang City, Indonesia During 2010-2019

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Muhammad Zulfikar Adha ◽  
Talitha El Zhafira Hadi
Keyword(s):  
Air Quality ◽  
Relative Humidity ◽  
Correlation Analysis ◽  
Respiratory Infection ◽  
Acute Respiratory Infection ◽  
Meteorological Factors ◽  
Sun Exposure ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Regression Test

Tangerang City is a city with a high population, vehicles, and industries, so the pollutant emissions in the air are increasing. It has a high contribution in the occurrence of ARI (Acute Respiratory Infection). These pollutants are PM10, CO, SO2, NO2, and O3. In addition, meteorological factors such as air temperature, relative humidity, rainfall, wind velocity, and the length of sun exposure also affect the occurrence of the disease. Research Purposes: The purpose of this research is to find out how the correlation between meteorological factors and ambient air quality with the incidence of ARI in Tangerang City during 2010 to 2019. Research Methodology: This research uses analytic observational research, quantitative approaches, and retrospective cohort study design, also ecological study. The population used as a sample is all the data of meteorological factors, ambient air quality, and the incidence of ARI in Tangerang City during 2010 to 2019. Correlation analysis was performed using regression correlation analysis, simple linear regression test, and multiple linear regression test. Research Result: The result showed that meteorological factors and ambient air quality associated with the incidence of ARI are relative humidity (p = 0,039), rainfall (p = 0,044), wind velocity (p = 0,033), the length of sun exposure (p = 0,042), PM10(p = 0,024), CO (p = 0,040), NO2(p = 0,049), and O3(p = 0,039). KEYWORDS: Meteorological factors, Ambient air quality, Acute respiratory infection (ARI)

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