scholarly journals Depreciation in Ambient Air Quality in Iron Ore Mining Region of Goa

2015 ◽  
Vol 10 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Gurdeep Singh ◽  
Atahar Perwez
Keyword(s):  
Air Quality ◽  
Iron Ore ◽  
Buffer Zone ◽  
Ambient Air ◽  
Mining Activities ◽  
Ambient Air Quality ◽  
Tourist Destinations ◽  
Mining Region ◽  
Transportation Routes ◽  
The Impact

Goa is one of the most famous international tourist destinations of the world. Export of Iron ore extracted from the midland of Goa is a major economic activity. However, there is a serious concern of air pollution due to iron ore mining activities. In order to assess the impact of mining activities on the environmental regime, the air quality depreciation index was adopted for this study due to its realistic and meaningful presentation of deterioration in ambient air quality. The index had been applied to the ambient air quality monitoring results of thirty four locations in the iron ore mining region of Goa. To envisage upon the deterioration in air quality due to various activities, eight stations were selected around mines, twelve in the buffer zone (within 4 Km radius of the core mining activities) and fourteen along the ore transportation routes for monitoring of SPM, PM10, SO2 and NOX. The deterioration of air quality in the iron ore mining region of Goa is clearly apparent as the depreciation in air quality was found < -1 from the most desired value of 0 at all the stations. In general, the air quality was found most depreciated along the ore transportation routes, which is also evidenced by a considerable load of particulate matters observed. This infers that ore transportation is the most devastating activity in the iron ore mining region of Goa and accordingly mitigation plan should be adopted.

scholarly journals Investigation of Impacts of Mining and Transportation Activities on Ambient Air Quality of Dhanbad City

2015 ◽  
Vol 10 (3) ◽  
pp. 1022-1028 ◽  
Author(s):  
Sridevi Jena ◽  
Atahar Perwez ◽  
Gurdeep Singh ◽  
Ashok Dubey
Keyword(s):  
Air Quality ◽  
Ambient Air ◽  
Mining Area ◽  
Ambient Air Quality ◽  
Substantial Impact ◽  
Pollution Levels ◽  
Significant Seasonal Variation ◽  
Transportation Routes ◽  
The Impact

The present study was intended to emphasize the assessment of ambient air quality of Dhanbad city with respect to PM10, PM2.5, SO2 and NOX concentrations, in order to investigate the impact of mining and transportation activities. From the monitoring and analysis at four selected monitoring stations during winter and summer seasons, significant spatial variation in pollutant (PM10, PM2.5, SO2 and NOX) concentrations is quite evident. The concentrations of PM10 were observed highest in mining area (at Dhansar PS; 291 µg/m3), whereas the PM2.5 the concentrations were observed higher along traffic routes (especially, at Bank More; 218 µg/m3). Higher concentratios of PM10 in mining area indicates the substantial impact of dust emanated from mining and associated activities on air quality. Whereas, the higher PM2.5 concentration along the transportation routes shows the influence of transportation activities on the airshed of the area. The significant seasonal variation in pollution levels is also apparent, as the concentrations of every pollutant were observed higher during the winter, than the summer season, at all sites. The mean concentration levels of PM10 and PM2.5 were observed 267 µg/m3, 173 µg/m3 and 234 µg/m3, 108 µg/m3 during winter and summer seasons, respectively. From the calculated values of air quality index, it is evident that Dhansar PS and Bank More are most polluted sites and PM10 is the most alarming pollutant in the area under investigation.

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.

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

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.

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