Impact of an industrial complex on the ambient air quality: Case study using a dispersion model

2005 ◽  
Vol 39 (29) ◽  
pp. 5395-5407 ◽  
Author(s):  
T.V.B.P.S. Rama Krishna ◽  
M.K. Reddy ◽  
R.C. Reddy ◽  
R.N. Singh
2019 ◽  
Vol 29 (1) ◽  
Author(s):  
Prince Chidhindi ◽  
Monray D Belelie ◽  
Roelof P Burger ◽  
Gabi Mkhatshwa ◽  
Stuart J Piketh

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.


2017 ◽  
Vol 29 (5) ◽  
pp. 1150-1154 ◽  
Author(s):  
A.K. Dash ◽  
S.K. Sahu ◽  
A. Pradhan ◽  
S.K. Dash ◽  
R.N. Kolli

2021 ◽  
Vol 4 (Vol4) ◽  
pp. 14-23
Author(s):  
Kamel Al-Zboon

This study aimed to determine the cement industry's impact on ambient air quality inside and around a Saudi Arabian cement plant. Air quality has assessed in terms of several indicators: carbon dioxide, carbon monoxide, nitrogen dioxide, sulfur dioxide, PM10, PM2.5, ozone, and volatile organic compounds. AERMOD model was used to predict the concentrations of pollutants in the surrounding area. Results obtained revealed that the concentration of all impurities is within the standard limits for ambient air quality. In comparison with OSHA guidelines, only PM10 concentration exceeded the allowable limit. The higher concentrations of pollutants are recorded at the site closest to the plant site (S1, a housing compound located 0.8km ESE from the plant). Concentrations at the other monitoring sites decreased significantly. Except for PM10, the calculated hazard quotient (HQ) of all pollutants was <1which indicated no health effects are expected. The HQ of emissions can be ranked as: PM10> PM2.5>CO2>O3>CO>VOCs>NOx>SO2>H2S. The hazardous index (HI) was: 3.59, 2.76, 2.18, and 2.67 for S1, S2 (located 17km NNE), S3 (located 10.6km SE), and S4 (located 6.4km SSW), respectively. The affected organs can be ranked based on health risk calculation as respiratory system>cardiovascular system>Eye irritation>Allergy infection>Nervous system>Development>Hematology >Alimentary endocrine. The cancer risk factor was shallow and ranged from 4.04x10-6 for S4 to 1.88x10-5 for S1, which indicated a very low-risk potential. In terms of emissions concentrations, AERMOD predicted higher concentrations than the actual monitoring data for all measured parameters.


2019 ◽  
Vol 62 (1) ◽  
pp. 176-198
Author(s):  
مجدى مدبولى ◽  
سعاد جمعة ◽  
محمد زكى حسين ◽  
منجود منجود

2020 ◽  
Author(s):  
Morufu Raimi ◽  
Zulkanaini Adio ◽  
Odipe Oluwaseun Emmanuel ◽  
Timothy Kayode Samson ◽  
Bankole Sunday Ajayi ◽  
...  

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