scholarly journals Assessment of the effects of thermal renovation of detached houses. 2. Reduction the impact on the ambient air quality.

2014 ◽  
Vol XXXI (61 (3/I/14)) ◽  
pp. 197-215
Author(s):  
Robert Oleniacz ◽  
◽  
Magdalena Kasietczuk ◽  
Mateusz Rzeszutek
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
The Impact

scholarly journals Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique

2019 ◽  
Vol 19 (17) ◽  
pp. 11303-11314 ◽  
Author(s):  
Tuan V. Vu ◽  
Zongbo Shi ◽  
Jing Cheng ◽  
Qiang Zhang ◽  
Kebin He ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Action Plan ◽  
Ambient Air ◽  
Meteorological Conditions ◽  
Assessment Process ◽  
Pollutant Emissions ◽  
Ambient Air Quality ◽  
Clean Air ◽  
The Impact

Abstract. A 5-year Clean Air Action Plan was implemented in 2013 to reduce air pollutant emissions and improve ambient air quality in Beijing. Assessment of this action plan is an essential part of the decision-making process to review its efficacy and to develop new policies. Both statistical and chemical transport modelling have been previously applied to assess the efficacy of this action plan. However, inherent uncertainties in these methods mean that new and independent methods are required to support the assessment process. Here, we applied a machine-learning-based random forest technique to quantify the effectiveness of Beijing's action plan by decoupling the impact of meteorology on ambient air quality. Our results demonstrate that meteorological conditions have an important impact on the year-to-year variations in ambient air quality. Further analyses show that the PM2.5 mass concentration would have broken the target of the plan (2017 annual PM2.5<60 µg m−3) were it not for the meteorological conditions in winter 2017 favouring the dispersion of air pollutants. However, over the whole period (2013–2017), the primary emission controls required by the action plan have led to significant reductions in PM2.5, PM10, NO2, SO2, and CO from 2013 to 2017 of approximately 34 %, 24 %, 17 %, 68 %, and 33 %, respectively, after meteorological correction. The marked decrease in PM2.5 and SO2 is largely attributable to a reduction in coal combustion. Our results indicate that the action plan has been highly effective in reducing the primary pollution emissions and improving air quality in Beijing. The action plan offers a successful example for developing air quality policies in other regions of China and other developing countries.

scholarly journals Research on Air Quality Analysis Based on Cluster Methods

2021 ◽  
Vol 898 (1) ◽  
pp. 012024
Author(s):  
Zhaoni Li ◽  
Jian Zheng
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Quality Analysis ◽  
Quality Data ◽  
Ambient Air Quality ◽  
Republic Of China ◽  
Pollution Levels ◽  
Analysis Process ◽  
Cluster Methods ◽  
The Impact

Abstract Research on air quality analysis is a hot field. Here we describe an analysis process based on cluster methods for the data of ambient air quality. In this paper, we use the process to cluster on the air quality data which from the National Urban Air Quality Report in December 2020 on the official website of the Ministry of Ecology and Environment of the People’s Republic of China. We find that cities in different clusters with different main pollutants and pollution levels. Ambient air quality analysis aims to provide guidance for reducing the impact of air pollution on health.

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.

Comparing the cost effectiveness of market-based policy instruments versus regulation: the case of emission trading in an integrated steel plant in India

2004 ◽  
Vol 9 (1) ◽  
pp. 107-122
Author(s):  
RITA PANDEY ◽  
GEETESH BHARDWAJ
Keyword(s):  
Air Quality ◽  
Geographical Area ◽  
Emission Trading ◽  
Cost Effective ◽  
Ambient Air ◽  
Steel Plant ◽  
Ambient Air Quality ◽  
Compliance Costs ◽  
Integrated Steel Plant ◽  
The Impact

Cost-effective policies allow for minimizing the compliance costs associated with reaching a desired environmental quality target. In this paper a conceptual model has been developed to examine the compliance costs under an intra-plant emission trading system for a non-uniformly mixed assimilative pollutant. The model incorporates the number of emission sources, the concentration of pollutants emitted at each source, the marginal cost of abatement for each source, the transfer coefficient that relates emission at each source with the impact on ambient air quality, and the desired ambient air quality target. The model is applied to an integrated steel plant in India. Results of this study demonstrate that emission trading is more cost effective than the existing regulatory system. Further, intra-plant trades would result in significant savings to the steel plant while securing an improvement in ambient air quality in the studied geographical area.

scholarly journals Ambient air quality of Katra Town (J&K): A Study with Reference to atmospheric particulates

2013 ◽  
Vol 14 (1&2) ◽  
pp. 113-119
Author(s):  
Anil K. Raina ◽  
Anita Sharma
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Monsoon Season ◽  
Ambient Air ◽  
Ambient Air Quality ◽  
Residential Areas ◽  
Monsoon Period ◽  
Post Monsoon ◽  
The Impact

The monitoring of ambient air quality of Katra (one of the important town of Jammu from economic as well as religious point of view), at selected locations of residential areas, commercial areas and traffic crossings with respect to particulate matter (both respirable and non-respirable) has been conducted for a period of two years i.e. July 2010 – June 2012. Large variations in ambient particulate matter concentrations have been observed throughout the study period. Seasonally, the particulate matter exhibited low values during monsoon period and high values during post-monsoon period. The concentration of particulates (both respirable and non-respirable) in post monsoon season exceeded the concentrations than that of other seasons at most of the sites, thereby signifying the impact of local factors on pollutant concentrations, besides the impact of meteorological factors. Higher concentrations have been recorded in the year 2011-2012 as compared to 2010-2011 at all the sites except traffic crossings.

A mitigation study for air pollution management across Germany for NOX (NO + NO2) with the LOTOS-EUROS CTM – Part I: Comparing the labeling and brute force technique for source attribution.

2021 ◽  
Author(s):  
Markus Thürkow ◽  
Joscha Pültz ◽  
Martijn Schaap
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Brute Force ◽  
Ambient Air Quality ◽  
Source Attribution ◽  
Application Range ◽  
Impact Studies ◽  
Non Linear ◽  
The Impact

&lt;p&gt;Air quality is a key aspect of present environmental discussions with nitrogen oxides (NO&lt;sub&gt;X&lt;/sub&gt; = NO + NO&lt;sub&gt;2&lt;/sub&gt;) has become a decisive element and impact factor for air quality planning. Millions of people are exposed by NO&lt;sub&gt;2,&lt;/sub&gt; especially in urban areas near traffic sites, leading to increased mortality rates. As the annual limit value of 40 &amp;#956;g/m&lt;sup&gt;3&lt;/sup&gt;, introduced by the European Ambient Air Quality Directive (EC, 2008), is currently exceeded by about 39 % (UBA, 2019), in Germany an estimated number of 13.100 premature deaths are caused by NO&lt;sub&gt;2&lt;/sub&gt; (EEA, 2018). The origin and formation processes of NO&lt;sub&gt;X&lt;/sub&gt; are well documented in literature for long: NO mainly originates from incomplete combustion (Granier et al., 2011; Vestreng et al., 2009), with NO&lt;sub&gt;2&lt;/sub&gt; formed as a photochemical reaction product (Finlayson-Pitts and Pitts, 2000; Leighton, 1961). Therefore, to further improve the ambient air quality using cost-effective mitigation strategies, this requires for quantifying the contribution of the ambient air pollution by source sectors and regions of their origin (Belis et al., 2020).&lt;/p&gt;&lt;p&gt;Applying chemical transport models (CTMs) for source attribution (SA), one can distinguish between contributions and impacts. Methods to estimate contributions are known as labeling (Kranenburg et al., 2013) or tagging (Wang et al., 2009; Wagstrom et al., 2008) approaches and are based on conservation of mass. In contrast, sensitivity simulations, such as the top-down brute force (BF) technique, can be used to quantify the impact to different emission reductions (Clappier et al., 2017; Thunis et al., 2019). As the BF approach in theory is only designed for impact studies, the calculation of contributions can result in incorrect estimates which is dependent on the linearity of the considered component (Clappier et al., 2017; Thunis et al., 2019). Therefore, impact studies can only be employed under certain restrictions and their application range needs to be predefined first (Thunis et al., 2020).&lt;/p&gt;&lt;p&gt;Previous studies primarily focused on PM when comparing different approaches for SA. Therefore, we conducted a SA study by performing air pollution simulations using the LOTOS-EUROS CTM across Germany of January 1&lt;sup&gt;st&lt;/sup&gt; to December 31&lt;sup&gt;st&lt;/sup&gt;, 2018 for NO&lt;sub&gt;X&lt;/sub&gt;. We enhanced the understanding of limitations to non-linear interaction terms and defined the potential application range for SA purposes using impact studies of NO&lt;sub&gt;X&lt;/sub&gt;, by comparing the labeling approach implemented in the LOTOS-EUROS CTM to the BF technique.&lt;/p&gt;&lt;p&gt;First results indicate that impact studies cannot be used to estimate contributions of NO due to their non-linear relations and inconsistent mass conservation. Even though differences for NO&lt;sub&gt;2 &lt;/sub&gt;are smaller, it is not recommended to apply the BF technique here either. However, considering that non-emission sources cannot be separated from each other in impact studies, it is further advised not to apply this method for NO&lt;sub&gt;X&lt;/sub&gt;.&lt;/p&gt;

scholarly journals The impact of model resolution on simulated ambient air quality and associated human exposure

Atmósfera ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Koen de Ridder ◽  
Peter Viaene ◽  
Karen van de Vel ◽  
Olivier Brasseur ◽  
Anne Cheymol ◽  
...  
Keyword(s):  
Air Quality ◽  
Human Exposure ◽  
Ambient Air ◽  
Model Resolution ◽  
Ambient Air Quality ◽  
The Impact

scholarly journals Ambient Air Quality in China: The Impact of Particulate and Gaseous Pollutants on IAQ

2015 ◽  
Vol 121 ◽  
pp. 582-589 ◽  
Author(s):  
Christopher O. Muller ◽  
Henry Yu ◽  
Besfield Zhu
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
The Impact
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