scholarly journals Analysis of the 11-year Record (1987-1997) of Air Pollution measurements in Athens, Greece. Part I: Primary air pollutants

2013 ◽  
Vol 1 (3) ◽  
pp. 157-167 ◽  

A climatological analysis of atmospheric concentrations of primary air pollutants in Athens, Greece, is presented for the 11-year period 1987-1997, since the automated local air pollution network operating by the Ministry of Environment started to record all conventional pollutants. The concentration levels of the atmospheric pollutants carbon monoxide, nitrogen oxides, sulfur dioxide and black smoke for the most polluted stations (Patission, Athinas and Piraeus) of the air pollution network were examined. For all primary pollutants a seasonal variation with minimum in summer and maximum in winter is observed. Sulfur dioxide has the strongest seasonal cycle and black smoke the weakest. There is a significant downward trend for almost all pollutants in all stations. The highest reductions are observed in Patission where a comparison between the 3-year periods 1988-1990 and 1995-1997 gives 52%, 34%, 26% and 20% decreases for sulfur dioxide, carbon monoxide, nitrogen oxides and black smoke, respectively. The pollution abatement measures taken by the state authorities during the period 1990-1994, mainly consisting in the replacement of the old technology gasoline-powered private cars and the reduction of the sulfur content in diesel oil, seem to be the primary cause of the improvement in air quality in Athens during the recent years.

Author(s):  
R. J. Ketterer ◽  
N. R. Dibelius

This paper summarizes regulations from 80 countries covering air pollution emissions from gas turbines. The paper includes emission and ground level concentration standards for particulates, sulfur dioxide, oxides of nitrogen, visible emissions, and carbon monoxide.


2016 ◽  
Author(s):  
Wan Jiao ◽  
Gayle Hagler ◽  
Ronald Williams ◽  
Robert Sharpe ◽  
Ryan Brown ◽  
...  

Abstract. Advances in air pollution sensor technology have enabled the development of small and low cost systems to measure outdoor air pollution. The deployment of a large number of sensors across a small geographic area would have potential benefits to supplement traditional monitoring networks with additional geographic and temporal measurement resolution, if the data quality were sufficient. To understand the capability of emerging air sensor technology, the Community Air Sensor Network (CAIRSENSE) project deployed low cost, continuous and commercially-available air pollution sensors at a regulatory air monitoring site and as a local sensor network over a surrounding ~ 2 km area in Southeastern U.S. Co-location of sensors measuring oxides of nitrogen, ozone, carbon monoxide, sulfur dioxide, and particles revealed highly variable performance, both in terms of comparison to a reference monitor as well as whether multiple identical sensors reproduced the same signal. Multiple ozone, nitrogen dioxide, and carbon monoxide sensors revealed low to very high correlation with a reference monitor, with Pearson sample correlation coefficient (r) ranging from 0.39 to 0.97, −0.25 to 0.76, −0.40 to 0.82, respectively. The only sulfur dioxide sensor tested revealed no correlation (r  0.5), step-wise multiple linear regression was performed to determine if ambient temperature, relative humidity (RH), or age of the sensor in sampling days could be used in a correction algorithm to improve the agreement. Maximum improvement in agreement with a reference, incorporating all factors, was observed for an NO2 sensor (multiple correlation coefficient R2adj-orig = 0.57, R2adj-final = 0.81); however, other sensors showed no apparent improvement in agreement. A four-node sensor network was successfully able to capture ozone (2 nodes) and PM (4 nodes) data for an 8 month period of time and show expected diurnal concentration patterns, as well as potential ozone titration due to near-by traffic emissions. Overall, this study demonstrates a straightforward methodology for establishing low-cost air quality sensor performance in a real-world setting and demonstrates the feasibility of deploying a local sensor network to measure ambient air quality trends.


In this paper we present the characteristics of sensors used to monitor the pollution levels in Mexico City, namely sulfur dioxide (SO2), nitrogen oxides (NOx), ozone (O3), , and carbon monoxide (CO). A novel algorithm to predict contamination levels is presented: the Gamma classifier. Also, a new coding technique is introduced, allowing the conversion from a series of values taken from SIMAT databases into a set of patterns, which in turn are useful for the task of pollutant forecasting. Experimental results show a competitive performance by the Gamma classifier as a predictor, when compared to other methods.


Author(s):  
Andi Dala Aprilla ◽  
Rafidah Rafidah

ABSTRACT     Air pollution causes changes in the composition of air from its normal state. One of the triggers for air pollution such as Carbon Monoxide (CO) and Sulfur Dioxide (SO2). The presence of CO and SO2 in basements with a certain amount and being in a long time will disrupt human health. The objective of the research is to determine the air quality at Makassar Trans Studio. The design of the research is observational research using descriptive approach through measuring levels of carbon monoxide and sulfur dioxide using Odalog 7000. The result of the research shows that on weekdays the levels of Carbon Monoxide (CO) for daytime were 1.6 bds while at night it was 2.4 bds. While sulfur dioxide (SO2) for the daytime is 0.01 bds while at night is 0 bds. While the holiday of carbon monoxide (CO) for daytime is 3.9 bds while at night is 2.1 bds. While sulfur dioxide (SO2) for the daytime is 0.01 bds while at night is 0 bds. From these results the level of Carbon Monoxide (CO) is still below the specified quality standard (25 bds) and the levels of sulfur dioxide (SO2) are still below the standard set quality (2 bds). Based on the results of the study, it can be concluded that the air quality in parking basement of Makassar Trans Studio is still below the Threshold value according to SNI 19-0232-2005. It is recommended for the mall manager to always supervise and monitor the air filter and place the exhaust fan.


Author(s):  
Amirreza Talaiekhozani ◽  
Ali Mohammad Amani ◽  
Zeinab Eskandari ◽  
Reza Sanaye

Introduction: Although many studies on Isfahan’s air pollution have been done, there is no report about the effects of cigarette consumption in Isfahan. The aims of this study were (a) to find the amount of nitrogen oxides, hydrocarbons, carbon monoxide and carbon dioxide emitted by cigarette consumption in Isfahan; and (b) to model the distribution of such pollutants in Isfahan’s atmosphere. Materials and methods: Based on the literature, it is assumed that 15% of Isfahan’s people consume cigarettes and each smoker on average smokes 1,147 cigarettes per year. Based on these assumptions, the 249,000 smokers living in Isfahan consume 285,000,000 cigarettes per year. The amount of pollutant emissions was calculated by existing emission factors for cigarette consumption. Finally, the distribution of the emitted pollutants from cigarette consumption in Isfahan’s atmosphere was modeled using AERMOD. Results: The results illustrated that each year, 2.85 kg nitrogen oxides, 2.85 kg hydrocarbons, 37.05 kg carbon monoxide and 142.5 kg carbon dioxide are emitted into Isfahan’s atmosphere from residents’ smoking. The modeling of pollutants’ dispersion in Isfahan’s atmosphere showed that only some of these pollutants result from cigarette consumption. Conclusion: This study demonstrated that the amount of pollutants emitted by cigarette consumption was negligible compared to the other pollutant sources in Isfahan.


Author(s):  
Nataliia Karavan

The generalizing and comparative characteristic of the level of air pollution of the city of Kamianske is presented. The following indicators are analyzed: the dynamics of total emissions of pollutants; structure of emissions by individual types of pollutants; the level and dynamics of the index of air pollution by priority substances. It is emphasized that the main reason for the declining dynamics of gross emissions of pollutants in the city was the decrease in industrial production, primarily at PJSC “Dniprovsk Metallurgical Plant”. The main economic indicators of PJSC “Dniprovsk Metallurgical Plant” are analyzed and conclusions are drawn about the unsatisfactory financial condition of the enterprise. The dynamics of the main air pollutants of the city is studied. The structure of emissions into the air of the city is analyzed and it is concluded that the share of carbon monoxide is the largest in the structure of emissions of the city and significantly exceeds the national and regional level. In addition, there is an excess of average daily maximum permissible concentrations not only for carbon monoxide, but for other air pollutants, namely formaldehyde, nitrogen dioxide, phenol, ammonia. The dynamics of the index of air pollution by priority substances is analyzed. The following conclusions about the level and dynamics of this indicator in the cities of Dnipropetrovsk region are formulated: for the main cities-polluters of atmospheric air of the region the indicator is quite high, the level of which is characterized as “above average”; during the last three years for Kamianske and Kryvyi Rih the indicator had a steady upward trend; as of the end of 2020 year, the highest value of the indicator is 14.9, which characterizes the unsatisfactory air quality of Kamianske. The dynamics of change of positions of the city of Kamianske according to the index of air pollution in the national rating of cities-polluters is characterized. During the period under study, the city of Kamianske consistently occupied “high” positions: maximum – 1st place (2014 year), minimum – 4th place (2018, 2019 years). The article emphasizes that measures to reduce the level of air pollution in the city should be in line with the regional Program of Environmental Safety and Climate Change Prevention for 2016–2025.


The purpose of this article is to highlight and analysis of trends in total emissions of polluting substances in atmospheric air of Mogilev region. The main material. A brief overview of Belarusian scientistsʹ research in the fi eld of geoecological conditions of atmospheric air is given in the article. The article deals with pollutants accumulation in the air of Mogilev region from various sources. Mobile sources (64.1% in 2015) are mainly responsible for air pollution in the region. In 2015 in comparison with 2010 there was a decrease in pollutant emissions as a result of transport functioning. Sources of pollutants accumulating in the air are exhaust gases from internal combustion engines, crankcase gases and fuel evaporation from fuel systems. Automobiles dominate in the structure of vehicles (85.3% in 2015). The article considers dynamics of pollutant emissions from stationary sources. The majority of pollutants are found in the air because of technological processes. Hydrocarbons and sulfur dioxide prevail in the structure of emissions of these sources. Chemical industry enterprises (Mogilev chemical fiber, Mogilev artificial fiber plant, etc.) are the sources of air pollution. Substances of the 4th and 3d danger classes predominate in the structure of pollutants in Mogilev region. Substances of the 1st and 2nd danger classes are insignificant. Conclusions. As a result of the conducted research uneven territorial distribution of emission density of the main pollutants in the air of Mogilev region has been established. Kostiukovich and Krichevsk districts are characterized by high level of emission density of suspended substances, carbon monoxide, sulfur dioxide in the air from stationary sources. Cherikov district is characterized by a low level of carbon monoxide, sulfur dioxide, nitrogen oxide emissions per unit area. 71.4% of the administrative districts of Mogilev region are characterized by an average density level of carbon monoxide emissions from stationary sources in relation to the average regional level, 14.3% of districts by lower level, 4.8% by low level and 9.5% by high level. It is advisable to improve the production technology, to equip enterprises with new gas cleaning facilities in order to reduce the anthropogenic load on the environment.


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