scholarly journals ATMOSPHERIC MONITORING FOR AMBIENT AIR QUALITY PARAMETERS AND SOURCE APPORTIONMENT OF CITY FAISALABAD, PAKISTAN

2018 ◽  
Vol 2 (1) ◽  
pp. 01-04 ◽  
Author(s):  
Zaheer Asghar ◽  
Waqas Ali ◽  
Abdul Nasir ◽  
Arfan Arshad
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Ambient Air ◽  
Quality Parameters ◽  
Ambient Air Quality ◽  
Atmospheric Monitoring

Ambient Air Quality Monitoring Studies in Four Specific Location of Tamilnadu, India

2019 ◽  
pp. 677-683
Author(s):  
Mageshkumar P ◽  
Ramesh S ◽  
Angu Senthil K
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
High Volume ◽  
Ambient Air ◽  
Quality Parameters ◽  
Air Quality Index ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Air Sampler

A comprehensive study on the air quality was carried out in four locations namely, Tiruchengode Bus Stand, K.S.R College Campus, Pallipalayam Bus Stop and Erode Government Hospital to assess the prevailing quality of air. Ambient air sampling was carried out in four locations using a high volume air sampler and the mass concentrations of PM10, PM2.5, SO2, NOX and CO were measured. The analyzed quality parameters were compared with the values suggested by National Ambient Air Quality Standards (NAAQS). Air quality index was also calculated for the gaseous pollutants and for Particulate Matters. It was found that PM10 concentration exceeds the threshold limits in all the measured locations. The higher vehicular density is one of the main reasons for the higher concentrations of these gaseous pollutants. The air quality index results show that the selected locations come under moderate air pollution.

scholarly journals Relationships between perceived health status and ambient air quality parameters in healthy Japanese: a panel study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Motoyuki Nakao ◽  
Keiko Yamauchi ◽  
Satoshi Mitsuma ◽  
Hisamitsu Omori ◽  
Yoko Ishihara
Keyword(s):  
Health Status ◽  
Air Quality ◽  
Panel Study ◽  
Ambient Air ◽  
Perceived Health ◽  
Quality Parameters ◽  
Ambient Air Quality ◽  
Perceived Health Status

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.

scholarly journals Introduction and Application of the PMF Model to Estimate the Source Apportionment of PM2.5 at Various Sites

1970 ◽  
Vol 8 (3) ◽  
pp. 25-31 ◽  
Author(s):  
Injo Hwang
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Receptor Site ◽  
Ambient Air ◽  
Receptor Modeling ◽  
Ambient Air Quality ◽  
Receptor Models ◽  
Pmf Model ◽  
Source Contributions ◽  
Reduction Strategies

To manage ambient air quality and establish effective emissions reduction strategies, it is necessary to identify sources and to apportion the ambient PM mass. To do so, receptor models have been developed that analyze various measured properties of the pollutants at the receptor site, identify the sources, and estimate their contributions. Receptor modeling is based on a mathematical model that analyzes the physicochemical properties of gaseous and/or particulate pollutants at various atmospheric receptors. Among the multivariate receptor models used for PM source identification and apportionment, positive matrix factorization (PMF) has been developed by Paatero in 1997. PMF have been developed for providing a new approach to multivariate receptor modeling based on explicit least-squares technique. Also, PMF shown to be a powerful technique relative to traditional multivariate receptor models. PMF has been implemented in two different algorithms: PMF2 (or PMF3) and the multilinear engine (ME). Since the release of PMF2 and ME, these programs have been successfully applied to assess ambient PM source contributions at many locations in the world. In this study, I would like to introduce about outline of the PMF model and application of the PMF model to estimate the source apportionment of ambient PM2.5 at various sampling sites in USA and Korea. This study suggests the possible role for maintain and manage ambient air quality and achieve reasonable air pollution strategies. DOI: http://dx.doi.org/10.3126/jie.v8i3.5928 JIE 2011; 8(3): 25-31

A Novel Approach to Predicting Combustion Emission Using Ambient Air Quality Parameters in Onshore Eastern Nigeria

2021 ◽  
Author(s):  
Osemanre Ossy Omion ◽  
Chioma Maduewesi ◽  
Emeke Chukwu
Keyword(s):  
Air Quality ◽  
Statistical Significance ◽  
Ambient Air ◽  
Quality Parameters ◽  
Gas Production ◽  
Linear Regression Method ◽  
Eastern Region ◽  
Ambient Air Quality ◽  
Gaseous Emission ◽  
Yearly Average

Abstract The paper aims to estimate the tCO2e from flare stack sites in the Eastern zone of Nigeria and review air monitoring done at the flare sites with the objective of establishing a model for gas tCO2e emission and gaseous pollutants. It focuses on the South-Eastern region of Nigeria where oil and gas production are being carried out (Imo and Abia states). It zero-in on the hydrocarbon processing and handling facilities (flowstation) and the gas flared volumes. The study was carried out using representative data from an onshore flowstation in Eastern Nigeria. The data consist of gas flared volumes from year 2013-2017 and ambient gaseous emission from air quality report done on the same location. Univariate regression and correlation using Excel were carried out on yearly average ambient air quality parameters (VOC, NOx, CO, SOx, CH4, SPM, NH3, H2S) to check the statistical significance of each parameter as an independent variable and calculated tCO2e as the dependent variable. Excel Muti-variate linear regression method was then used to generate a predictive model for tCO2e and gaseous emission parameters. It presented a relationship between the emission from flared gas and air quality index.

Comparison of Japanese and U.S. Environmental Regulations Impacting Shipbuilding

1997 ◽  
Vol 13 (03) ◽  
pp. 171-177
Author(s):  
Bhaskar Kura ◽  
Albert Knecht ◽  
Kenneth McManis ◽  
W. Reid Lea
Keyword(s):  
Water Quality ◽  
Air Quality ◽  
Quality Standards ◽  
Ambient Air ◽  
Quality Parameters ◽  
Environmental Standards ◽  
Ambient Air Quality ◽  
Criteria Pollutants ◽  
Stream Quality ◽  
Ambient Air Quality Standards

Environmental standards of Japan are reviewed and compared with United States' standards. Ambient air quality standards for criteria pollutants, water quality (stream quality) standards, and the effluent standards for wastewater discharges are compared. From this study, it is understood that some standards are more stringent in Japan while others are more stringent in the U.S. Comparisons are made for several water quality and air quality parameters which provide some understanding of the level of environmental compliance that may be required of a typical Japanese shipyard.

Open air mineral treatment operations and ambient air quality: assessment and source apportionment

2012 ◽  
Vol 14 (11) ◽  
pp. 2939 ◽  
Author(s):  
M. Escudero ◽  
A. Alastuey ◽  
T. Moreno ◽  
X. Querol ◽  
P. Pérez
Keyword(s):  
Air Quality ◽  
Quality Assessment ◽  
Source Apportionment ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Air Quality Assessment
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