scholarly journals Air quality monitoring and modeling near coal fired power plant

2019 ◽  
Vol 23 (6 Part B) ◽  
pp. 4055-4065
Author(s):  
Bogdana Vujic ◽  
Una Marceta ◽  
Francis Popescu ◽  
Bojana Tot
Keyword(s):  
Air Quality ◽  
Power Plant ◽  
Meteorological Data ◽  
Thermal Power ◽  
Ground Level ◽  
Ambient Air ◽  
Research Area ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Research Period

In municipality of Ugljevik (Bosnia and Herzegovina), the coal-fired thermal power plant is located in the vicinity of the populated area. The ambient air quality monitoring within this area were not systematically performed in the previous period. This research was the first to include indicative measurement of pollutant concentration in air combined with modeling techniques for the purpose of a preliminary assessment of impact which the power plant has on air quality. Since coal, with the sulfur content of 3-6%, is used, as well as the fact that there was no flue gas desulphurization during the research period, this paper shows the results for SO2 as one of the most prominent indicators of pollution originating from the power plant. As a complement to the measurements, modeling of SO2 dispersion was carried out using ADMS5 software. The measurements indicated increased ground-level concentrations of SO2. Additionally, the modeling of SO2 dispersion with real meteorological data was carried out. The modeling confirmed high SO2 concentrations in research area. Also, it was found that the high episodic ground-level SO2 concentrations are the consequence of the terrain configuration and meteorological conditions.

scholarly journals AIR QUALITY MONITORING IN INDUSTRIAL ESTATE (Case Study: Jababeka Industrial Estate, Cikarang)

2019 ◽  
Vol 4 (2) ◽  
pp. 50
Author(s):  
Filson Maratur Sidjabat ◽  
Rijal Hakiki ◽  
Temmy Wikaningrum
Keyword(s):  
Air Quality ◽  
Meteorological Data ◽  
Total Suspended Solid ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Future Research ◽  
Sampling Point ◽  
Air Quality Monitoring ◽  
Industrial Estate ◽  
Estate Management

Ambient Air Quality Monitoring (AAQM) must be conducted by Industrial Estate Management, according to legislation and regulation in EIA (Environmental Impact Assessment) Report. AAQ test parameter are Sulfur Dioxide (SO<sub>2</sub>), Carbon Monoxide (CO), Nitrogen Dioxide (NO<sub>2</sub>), Ozon (O<sub>3</sub>), Hidrocarbon (HC), PM<sub>10</sub>, PM<sub>2,5</sub>, Total Suspended Solid (TSP), and Lead (Pb). Industrial Estate Management has an extensive role in AAQM, analysing and organizing better environmental policies. The data of Jababeka Industrial Estate (JIE) AAQM was seized from EIA Report each semester from year 2015 to 2018 and analyzed using openair model. A review of AAQM and Management in other industrial estate was done as a lesson-learned and insight to improve the AAQM System in JIE. Openair model can analyze the AAQ data with meteorological data around the sampling point area, and visualize it through the pollution rose function. The limited data of AAQM and weather, will limitate the result and analysis. The future research must aims to make a real-time/continuous AAQM and meteorological data to get more accurate and comprehensive data modeling and analysis.

scholarly journals Nghiên cứu ảnh hưởng của hiện tượng nghịch nhiệt đến hàm lượng bụi PM2.5 trong môi trường không khí tại Hà Nội

2018 ◽  
Vol 34 (3) ◽  
Author(s):  
Trinh Thi Tham
Keyword(s):  
Air Quality ◽  
Statistical Difference ◽  
Heat Rate ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Heat Temperature ◽  
Effects Of Temperature ◽  
Temperature Inversions ◽  
The Impact

In this study, we assessed effects of temperature inversions on air quality in Hanoi, is the capital of Vietnam with the business development speed also as urbanization high in year near here. Temperature inversions occur frequently in the cooler seasons, exacerbating the impact of emissions and diffusions from industry and traffic. This research used concentration of PM2.5 data gathered from 02 automatic air quality monitoring station located North Centre for Environmental Monitoring, Vietnam environment administration and U.S Embassy Hanoi. The data on the change of temperature in the depth was collected from the meteorological stations Hanoi in 2017 aimed to analyze the frequency of the temperature  rating of the Heat Rate of the Heat Temperature and the Heat of the temperature  inversions and impacts of that on concentration of PM2.5 in the atmosphere. The results also revealed that there was statistical difference (Sig. <0,05) between PM2.5 levels in the ambient air on the inversion days and those on the normal day.

Evaluating Satellite Capability in Supporting Traditional Air Quality Monitoring for the Finnish Ministry of the Environment

2021 ◽  
Author(s):  
Henrik Virta ◽  
Anu-Maija Sundström ◽  
Iolanda Ialongo ◽  
Johanna Tamminen
Keyword(s):  
Air Quality ◽  
Rural Areas ◽  
Ground Level ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ozone Monitoring Instrument ◽  
Random Measurement Error ◽  
Mining Sites ◽  
Monitoring Instrument

&lt;p&gt;We present the results of two projects completed for the Finnish Ministry of the Environment that assessed the capability of satellites in supporting traditional in situ air quality (AQ) measurements. These projects analysed the correlation of co-located NO&lt;sub&gt;2&lt;/sub&gt; measurements from the TROPOspheric Monitoring Instrument (TROPOMI, measuring in molec./cm&lt;sup&gt;2&lt;/sup&gt;) and traditional air quality stations (measuring in &amp;#181;g/m&lt;sup&gt;3&lt;/sup&gt;) in Finland and Europe in 2018 and 2019, and used the results to estimate annual mean ground-level NO&lt;sub&gt;2&lt;/sub&gt; concentrations in Finland&amp;#8217;s 14 different AQ monitoring regions.&lt;/p&gt;&lt;p&gt;We find that the correlation is dependent on the location of the AQ station, with city stations having a higher correlation than rural background stations. This is expected, as the variability of NO&lt;sub&gt;2&lt;/sub&gt; levels in Finnish rural areas is usually within TROPOMI&amp;#8217;s random measurement error. We also find that the estimated annual mean regional ground level NO&lt;sub&gt;2&lt;/sub&gt; concentrations compare well to the in situ measurements, as the associated uncertainties provide reliable upper estimates for ground level concentrations. These estimates were used to establish that annual NO&lt;sub&gt;2&lt;/sub&gt; concentrations were below the EU limit in two AQ monitoring regions with no active ground stations.&lt;/p&gt;&lt;p&gt;We also analyse TROPOMI&amp;#8217;s and the Ozone Monitoring Instrument&amp;#8217;s (OMI) ability to study the spatial distribution of NO&lt;sub&gt;2&lt;/sub&gt; over Finland using gridded maps. Oversampled TROPOMI measurements are able to distinguish relatively small sources such as roads, airports and refineries, and the difference in concentrations between weekdays and weekends. TROPOMI is also able to detect emissions from different sources of NO&lt;sub&gt;2&lt;/sub&gt; such as cities, mining sites and industrial areas. Long time series measurements from OMI show decreasing NO&lt;sub&gt;2&lt;/sub&gt; levels over Finland between 2005 and 2018.&lt;/p&gt;&lt;p&gt;The studies were conducted on behalf of the Finnish Ministry of the Environment, and showcase how satellite measurements can be used to supplement traditional air quality measurements in areas with poor ground station coverage. Launched in 2017, TROPOMI is currently the highest-resolution air quality sensing satellite, and its societal uses are only beginning to be realised. Future Sentinel missions, especially the geosynchronous Sentinel-4, will further extend satellite air quality monitoring capabilities and enable continuous daytime observations in cloud-free conditions.&lt;/p&gt;

An assessment of ambient air quality using AQI and exceedance factor for Udaipur City, Rajasthan (India)

2021 ◽  
pp. 94-106
Author(s):  
Porush Kumar ◽  
Kuldeep ◽  
Nilima Gautam
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Urban Air Pollution ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Urban Air ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Control Board

Air pollution is a severe issue of concern worldwide due to its most significant environmental risk to human health today. All substances that appear in excessive amounts in the environment, such as PM10, NO2, or SO2, may be associated with severe health problems. Anthropogenic sources of these pollutants are mainly responsible for the deterioration of urban air quality. These sources include stationary point sources, mobile sources, waste disposal landfills, open burning, and similar others. Due to these pollutants, people are at increased risk of various serious diseases like breathing problems and heart disease, and the death rate due to these diseases can also increase. Hence, air quality monitoring is essential in urban areas to control and regulate the emission of these pollutants to reduce the health impacts on human beings. Udaipur has been selected for the assessment of air quality with monitored air quality data. Air quality monitoring stations in Udaipur city are operated by the CPCB (Central Pollution Control Board) and RSPCB (Rajasthan State Pollution Control Board). The purpose of this study is to characterize the level of urban air pollution through the measurement of PM10, NO2, or SO2 in Udaipur city, Rajasthan (India). Four sampling locations were selected for Udaipur city to assess the effect of urban air pollution and ambient air quality, and it was monitored for a year from 1st January 2019 to 31st December 2019. The air quality index has been calculated with measured values of PM10, NO2, and SO2. The concentration of PM10 is at a critical level of pollution and primarily responsible for bad air quality and high air quality Index in Udaipur city.

Ambient Air Quality Monitoring and Audit over Athi River Township, Kenya

2015 ◽  
Vol 3 (8) ◽  
pp. 291-301
Author(s):  
Zablon W. Shilenje ◽  
Kennedy Thiong’o ◽  
Kennedy I. Ondimu ◽  
Paul M. Nguru ◽  
John Kaniaru Nguyo ◽  
...  
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality

A Vague Sets Based Approach of Multi-Sensor Information Fusion for Urban Ambient Air Quality Monitoring

2013 ◽  
Vol 380-384 ◽  
pp. 1077-1080
Author(s):  
Jin Gang Li ◽  
Xiao Hong Su ◽  
Hong Wei Xuan ◽  
Shi Lei Zhao
Keyword(s):  
Air Quality ◽  
Information Fusion ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Monitoring Method ◽  
Vague Sets ◽  
Level Information ◽  
Sensor Information

In order to enhance the organization and management efficiency of multi-source heterogeneous data in the collection process for urban ambient air quality monitoring, according to the analysis of the limitations, the existing methods and the features of data collected, a new kind of multi-sensor and multi-level information fusion approach based on vague sets is proposed. The approach takes full advantage of the redundancy and complementarities from inter-level information to achieve the purpose of information integration. The mathematical description of vague sets based on the multi-sensor information fusion is defined and the corresponding model is developed in which the data organization and the monitoring method and the implementation of the hierarchical algorithm are discussed. Finally, the proposed approach is applied to a computing system of the ambient air quality monitoring. The study of this approach can supply scientific accordance for comprehensive monitoring of urban ambient air quality.

Sign in / Sign up

Export Citation Format

Share Document