scholarly journals Analysis Distribution Sulfur Dioxide and Nitrogen Dioxide Concentration from PLTU Pangkalan Susu with Callpuff Method

2021 ◽  
Vol 3 (4) ◽  
pp. 236-244
Author(s):  
Randy Zulkarnain ◽  
Isra’ Suryati ◽  
Alvin Pratama
Keyword(s):  
Power Plants ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Distribution Area ◽  
Will Emit ◽  
Steady State Model ◽  
Quality Modeling ◽  
The Impact ◽  
So2 Concentration ◽  
Observation Results

Coal-fired power plants will emit several types of pollutants into the ambient air such as particulates and gases. One way to estimate the extent of the impact distribution of these pollutants is by using air quality modeling. The model used in this study is Calpuff, where this model is a non-steady state model and is influenced by variations in meteorological factors. The research location is PLTU Pangkalan Susu (2x200 MW) with SO2 and NO2 parameters. The purpose of this study was to calculate the concentrations of SO2 and NO2 with Calpuff, to validate modeling with field observations and to simulate the distribution of impacts. The results showed that the concentration of SO2 model obtained was 0.32 - 3.57 µg/m3 and NO2 was 0.51 - 5.15 µg/m3. Meanwhile, the observation results showed that the SO2 concentration was 27 - 39.88 µg/m3 and NO2 was 19.77 - 29.73 µg/m3. The simulation results of the distribution of SO2 and NO2 concentrations with the Calpuff model show that the impact distribution area is in the direction of the wind in the windrose and the affected area is in the southwest of the PLTU Pangkalan Susu. The results of model validation for the values ​​of d = 0.97, r = 0.616 - 0.665 and FB = -1.719 - -1.849, which means that the Calpuff model is quite valid and can be applied to predict the impact distribution area at PLTU Pangkalan Susu.

scholarly journals INVESTIGASI PENGARUH KONDISI LALU LINTAS DAN ASPEK METEOROLOGI TERHADAP KONSENTRASI PENCEMAR SO2 DI KOTA SEMARANG

2016 ◽  
Vol 13 (1) ◽  
pp. 21
Author(s):  
Titik Istirokhatun ◽  
Ita Tetriana Agustini ◽  
Sudarno Sudarno
Keyword(s):  
Air Pollution ◽  
Sulfur Dioxide ◽  
Human Health ◽  
Adverse Reactions ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Health Problems ◽  
Traffic Light ◽  
Road Users ◽  
The Impact

The  presence  of  air  pollution  in  ambient  air  is  closely  related  to  the incidence  of  adverse reactions affecting human health. One of harmful pollutants and potentially major cause health problems is sulfur dioxide (SO 2 ). The number of vehicles that are passing and queuing on the crossroads  because  of  traffic light can  affect  the  concentration  of  SO 2 .  Besides,  in  these locations  there  are a lot of road users  which  are  potentially  exposed  by  contaminants, so information about the concentration of SO 2  is important to know. This study aimed to investigate the  impact  of  meteorological  factors  and  the  number  of vehicles  on  SO 2   concentrations. Impinger was used for air sampling, and pararosaniline method was used for determining SO 2  concentration. Sampling and calculation  of the number of passing vehicles were performed 3 times ie in the morning, afternoon and evening. Based on the results of the study, the highest concentrations of SO 2  were on the range of 15-21 mg/Nm3.

scholarly journals Assessment of the relationship of exacerbations of diseases of the cardiovascular system with the meteorological situation

2021 ◽  
Vol 100 (12) ◽  
pp. 1350-1358
Author(s):  
Natalia M. Kolyagina ◽  
Tat'jana A. Berezhnova ◽  
Nikolaj P. Mamchik ◽  
Oleg V. Klepikov ◽  
Sergej A. Yeprintsev
Keyword(s):  
Cardiovascular Diseases ◽  
Medical Care ◽  
Cardiovascular System ◽  
Atmospheric Pressure ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Medical Assistance ◽  
Meteorological Situation ◽  
The Impact ◽  
The Relationship

Introduction. The impact of weather factors on the occurrence of exacerbations of diseases in meteodependent people is currently one of the actively studied problems of medicine. The aim of the study was to identify the relationship between exacerbations of diseases of the cardiovascular system with the meteorological situation to substantiate the need for preventive and informational work with meteodependent patients. Material and research methods. The study used daily data on the number of patients with cardiovascular diseases seeking medical care at Voronezh City Polyclinic No. 18 and daily information on weather conditions for 2018. The ratio of the average number of cases of medical assistance requests on days unfavourable for meteorological factors to the average number of cases of medical assistance requests per day during the year was calculated. Using software (Statistica Base V6.1), a correlation analysis of the relationship between the number of medical requests and meteorological factors was carried out. Results. It has been established that the appealability of patients with cardiovascular diseases for medical care on days unfavourable for meteorological factors is 1.1-2.0 times higher than the average annual indicator. The most informative characteristic of the six meteorological indicators taken into account in the study (average daily, minimum, maximum ambient air temperature; temperature drops by more than eight °C per day; atmospheric pressure; atmospheric pressure drops by 12 mm Hg per day or more) is a sharp drop in atmospheric pressure during the day, with which statistically significant (p <0.05) correlates the number of cases of patients with cardiovascular diseases seeking medical help. Conclusion. In medical institutions providing primary health care, it is advisable to single out separate groups of patients with meteorological dependence for dynamic observation and conduct information work with them to mitigate the severity of the course of diseases of the cardiovascular system on days unfavourable according to meteorological indicators.

scholarly journals Air Quality and Human Health among a Low Income Community in the Highveld Priority Area

2011 ◽  
Vol 20 (1) ◽  
Author(s):  
C.Y Wright ◽  
R Oosthuizen ◽  
J John ◽  
R.M Garland ◽  
P Albers ◽  
...  
Keyword(s):  
South Africa ◽  
Air Pollution ◽  
Air Quality ◽  
Human Health ◽  
Low Income ◽  
Power Plants ◽  
Ambient Air ◽  
Agricultural Activity ◽  
Priority Area ◽  
The Impact

Human exposure to poor air quality is linked to adverse health effects. The largest burden of air pollution-related diseases is in developing countries where air pollution levels are also among the highest in the world. In South Africa, two geographic areas, the Vaal Triangle and the Highveld, have been identified for air quality managementinterventions to ensure compliance with National Air Quality Management Standards and to control potential harmful air pollution impacts on human health. The Highveld Priority Area (HPA) is characterised by intense mining, coal-fired power plants, industries, including iron and steel manufacturing, chemical plants, agricultural activity, motor vehicles and domestic fuel burning. Apart from two previous studies, no respiratory health studies have been carried out in the HPA. This paper describes the results of a recent, comprehensive study of ambient air quality, potential exposure to air pollution and air-related human health among a low income community living in the HPA in order to better understand the impact of air pollution on human health in South Africa.

scholarly journals Assessing the impact of Eskom power plant emissions on ambient air quality over KwaZamokuhle

2019 ◽  
Vol 29 (1) ◽  
Author(s):  
Prince Chidhindi ◽  
Monray D Belelie ◽  
Roelof P Burger ◽  
Gabi Mkhatshwa ◽  
Stuart J Piketh
Keyword(s):  
Air Quality ◽  
Low Income ◽  
Power Plants ◽  
Dispersion Model ◽  
Ambient Air ◽  
Background Concentration ◽  
Monitoring Site ◽  
Ambient Air Quality ◽  
The Impact

Coal-fired power plants are considered a major source of criteria air pollutants. The existence of such activities close to densely populated areas has an impact on human health and more generally on the environment. The impact of a pollutant typically depends on its residence time and the existence of background concentration levels. This study evaluates the dispersion of PM2.5, SO2 and NOX emissions from Eskom power plants (Arnot, Hendrina, and Komati) located close to KwaZamokuhle Township. AERMOD was used to assess the contribution of each plant to the air quality of the township. This steady-state dispersion model was used to simulate surface concentrations (1-hour, 24-hour and annual average concentrations) on a 50km domain for 2015-2017. The modelled results together with data obtained from Eskom’s KwaZamokuhle monitoring site were used to estimate the extent to which these power plants contribute to the ambient air quality of KwaZamokuhle Township. The results confirm that the power plants do contribute to concentrations of PM2.5, SO2, and NOx in the ambient air of the township. However, based on a comparison between the modelled and monitored data, it was inferred that power plants are not the only significant source of these criteria pollutants. Evidence from temporal variations in the monitored data shows that domestic burning is likely the major contributor since the variability is more closely associated with burning habits. It is therefore likely that existing regulatory strategies that focus mostly on the industrial sector may not be successful in improving ambient air quality in low-income settlements like KwaZamokuhle.

scholarly journals The Impact of Ambient Fine Particulate Matter on Consumer Expenditures

2020 ◽  
Vol 12 (5) ◽  
pp. 1855
Author(s):  
Hojin Jung
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Power Plants ◽  
Airborne Particulate Matter ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Significant Heterogeneity ◽  
Airborne Particulate ◽  
Consumer Expenditures ◽  
The Impact

Airborne particulate matter suspended from industrial facilities, power plants, and automobiles is detrimental to health. Growing concerns about the increasing level of airborne particulate matter have led many industrialized nations to advocate for the transformation of the energy market and investment in sustainable energy products. At the other end, consumers have made individual adjustments and attempted to reduce the exposure to the particulate matter. In this paper, we focus on the effect of ambient air pollution on consumer expenditures based on scanner panel data on consumers’ debit and credit card transactions. A series of empirical analyses found robust evidence that the increased level of particulate matter led to considerable disruption in total consumer expenditures with significant heterogeneity across categories. Our findings suggest that consumers alter their spending behaviors in an attempt to reduce the risk of exposures to particulate matter. Such an estimated effect of air pollution is qualitatively different from those of other macroeconomic factors and provides important guidance for policy interventions and practical decisions aimed at sustaining economic growth.

scholarly journals Emission level of air pollutants during 2019 pre-haze, haze, and post-haze episodes in Kuala Lumpur and Putrajaya

2021 ◽  
Vol 4 (2) ◽  
pp. 137
Author(s):  
Safari Zainal ◽  
Nurfatiha Mursyida Zamre ◽  
Md. Firoz Khan
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Wind Direction ◽  
Air Pollutants ◽  
Power Plants ◽  
Meteorological Factors ◽  
Ambient Air ◽  
Kuala Lumpur ◽  
North East ◽  
East Malaysia

Nowadays, due to population growth and industrialisation, air quality in Malaysia is becoming a critical threat. Air pollution has become a serious issue due to its impacts on humans, animals, and the environment. Malaysia experienced air quality deterioration in 2019 when the episodes of haze happened from July to September. It was due to the local and transboundary sources such as vehicles, factories, power plants, and biomass burning from Sumatra. This study aims to differentiate the level of the potential air pollutants, examine the influence of meteorological factors on the potential air pollutants and determine the local and transboundary impact on the potential air pollutants during episodes of pre-haze, haze, and post-haze in Kuala Lumpur and Putrajaya in 2019. Secondary physical and data on meteorology were obtained from the continuous ambient air quality monitoring (CAQM) stations by the Malaysian Department of Environment (DOE). The data obtained from CAQM were physical: particulate matters (PM2.5 & PM10), carbon monoxide (CO), nitrogen dioxide (NO2), sulphur dioxide (SO2), and level ozone (O3); as well as meteorological: temperature (T), relative humidity (RH), wind speed (WS) and wind direction (WDir). Overall, the particulate matter (PM2.5, PM10) and carbon monoxide which are the pollutants that involve the formation of haze in Kuala Lumpur and Putrajaya are higher during haze episodes compared to pre-haze and post-haze episodes while the other pollutants (NO2, SO2, O3) are fluctuated throughout the entire episode due to its sources and the influence of meteorological factors. The backward trajectory indicated that the air pollutants are influenced by wind direction from South West Malaysia (SWM) and North East Malaysia (NEM) throughout the entire year.

scholarly journals Selected air pollutants in urban and rural areas, under the influence of power plants

2018 ◽  
pp. 41-52 ◽  
Author(s):  
Robert Cichowicz ◽  
Artur Stelegowski
Keyword(s):  
Air Quality ◽  
Rural Areas ◽  
Air Pollutants ◽  
Power Plants ◽  
Ambient Air ◽  
So2 Emissions ◽  
Large Power ◽  
Power Stations ◽  
Urban And Rural Areas ◽  
The Impact

The operation of large power plants, including power stations, and combined heat and power stations, causes the emission of significant amounts of gaseous pollutants into the environment. As a result, in the urban and agricultural areas occurs a pollution of undesirable gaseous substances, such as nitrogen and sulfur oxides. This is especially dangerous for living organisms, soil and water, because, in combination with water vapor, these pollutants are the cause of acid rain. In addition, nitrogen oxides participate in the formation of ground-level ozone, which affects both human health and the condition of existing vegetation. Therefore, the distribution of air pollutants (NO2, SO2 and O3) in the selected urban and rural areas, under the influence of power plants, located in the Lodz Voivodeship, in Poland, in Central-Eastern Europe, was analyzed for a 10-year period (2007–2016). As a result, it was possible to evaluate the impact of the entry into force of Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 “on ambient air quality and cleaner air for Europe” on the changes in emissions and concentrations of pollutants in selected locations. As a result of the analysis, a significant decrease in the concentration of SO2 (by 75% in the urban area and by 59% in the rural area), and small changes (from - 8% to + 12%) in NO2 and O3 concentrations in ambient air were found. This indicates the effectiveness of actions aimed at reducing SO2 emissions, however the influence of the power plants on the concentration of air pollutants in these areas is not clear. At the same time, considering the criterion of permissible concentration of ozone and nitrogen dioxide, although the air quality did not improve, the air quality index can be considered as being in the category of "good".

scholarly journals Analyzing Characteristics of Particulate Matter Pollution in Open-Pit Coal Mines: Implications for Green Mining

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2680
Author(s):  
Huaiting Luo ◽  
Wei Zhou ◽  
Izhar Mithal Jiskani ◽  
Zhiming Wang
Keyword(s):  
Particulate Matter ◽  
Wind Speed ◽  
Temperature Difference ◽  
Meteorological Factors ◽  
Coal Mines ◽  
Ambient Air ◽  
Average Concentration ◽  
Open Pit ◽  
Particulate Pollution ◽  
The Impact

The particulate pollution in the open-pit coal mines of China is particularly severe in winter. The aim of this study is to understand the pollution characteristics of particulate matter (PM) in winter and provide a basis for the prevention and control of particulate pollution. We took the problem of PM concentration at the bottom of the Haerwusu Open-pit Coal Mine (HOCM) as the research object. Dust monitoring equipment at two measurement points at different heights were positioned for continuous monitoring of the PM concentration. The data for three months were gathered. Statistical analyses were performed to analyze the variation characteristics of the PM and its relationship with meteorological factors. The results show that the average PM concentration in the study area is below the average daily limit of the China National Ambient Air Quality Standard (GB 3095-2012). However, the average concentration of PM10 exceeded the national limit in December. The order of PM concentration is observed as December > January > February. The correlation of PM is found to be positive with humidity and negative with wind speed. Temperature is found to be positively correlated with PM in December, while it is negative in January. At the same time, the temperature difference in December is negatively correlated with PM concentration. Under the combined action of multiple meteorological factors, the magnitude of the impact on the PM concentration at the bottom of the pit in winter is humidity > temperature > wind speed > temperature difference (inverse temperature intensity). In conclusion, PM2.5 is found to be more sensitive to environmental factors. The results of this study are particularly useful to progress in green mining.

scholarly journals Ambient air pollutants, meteorological factors and their interactions affect confirmed cases of COVID-19 in 120 Chinese cities

2020 ◽  
Author(s):  
Jianli Zhou ◽  
Linyuan Qin ◽  
Nan Liu
Keyword(s):  
Regression Analysis ◽  
Air Pollutants ◽  
Negative Binomial ◽  
Meteorological Factors ◽  
Negative Binomial Regression ◽  
Ambient Air ◽  
Chinese Cities ◽  
Ambient Air Pollutants ◽  
Binomial Regression ◽  
The Impact

AbstractEmerging evidences have confirmed effects of meteorological factors on novel coronavirus disease 2019 (COVID-19). However, few studies verify the impact of air pollutants on this pandemic. This study aims to explore the association of ambient air pollutants, meteorological factors and their interactions effect confirmed case counts of COVID-19 in 120 Chinese cities. Here, we collected total confirmed cases of COVID-19 by combining with meteorological factors and air pollutants data from 15th January 2020 to 18th March 2020 in 120 Chinese cities. Spearman correlation analysis was employed to estimate the association between two variables; univariate and multivariate negative binomial regression analysis were applied to explore the effect of air pollutants and meteorological parameters on the COVID-19 confirmed cases. Positive associations were found between the confirmed cases of COVID-19 and carbon monoxide (CO), aerodynamic particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5), relative humidity (RH) and air pressure (AP). And negative association was found for sulfur dioxide (SO2). In addition, multivariate negative binomial regression analysis suggested that confirmed cases of COVID-19 was positively correlated with ozone (O3) in lag 0 day while it was negatively associated with wind velocity (WV) in lag 14 days, and the pollutants-meteorological factors interactions also associate with COVID-19. In conclusions, air pollutants and meteorological factors and their interactions all associate with COVID-19.

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