Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO<sub>2</sub> and NO<sub>X</sub>) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria

Abiye, Olawale E.; Sunmonu, L. A.; Ajao, Adewale; Akinola, O.E.; Ayoola, Muritala A.; Jegede, Olugbemiro J.

doi:10.1080/23311843.2016.1275413

Cited by 15 publications

(10 citation statements)

References 33 publications

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“…Most of the terrain in and around the cluster is flat, although the terrain on the north and east is moderately complex (hilly) and of heights up to 145 m on the east. Since most of the terrain in the immediate vicinity are less than 10 times the average stack height, terrain do not have a considerable effect on the ambient path of the pollutants released from the stacks of the brick kilns 23–26 .…”

Section: Methodsmentioning

confidence: 99%

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Higazy

Essa

Mubarak

et al. 2019

Sci Rep

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Arab Abu Saed area in Giza governorate, south to Cairo contains more than 228 clay brick kilns represent the largest cluster of brickworks in Egypt. Burning of Heavy Fuel Oil (HFO) in such kilns is the main source of air pollution in the surrounding locations. In this study, investigation of switching the fuel used in brick kilns from (HFO) to Natural Gas (NG) is carried out and the pollution loads are assessed in both cases. In addition, two Gaussian dispersion plume models are employed to estimate the concentration of primary pollutants; PM 10 , SO 2 , and NO 2 at seven locations in the vicinity of Arab Abu Saed to determine the most adversely affected locations. Statistical analysis is applied to evaluate the correlation and conformity of the results of both models. Results show that using of NG leads to a significant reduction of pollution loads of PM 10 , SO 2 and NO 2 reaches 96%, 72%, and 24% respectively. In addition, the reduction of naturally occurring radionuclides in air is analyzed. Activity concentrations of Ra-226, Th-232 and K-40 in Bq/l for HFO were measured using HPGe detector for six HFO samples. Exposure due to air submersion of naturally occurring radionuclides in the study area leads to annual equivalent dose ranged between 2.16 mSv/y (received by Uterus) and 14 mSv/y (received by skin), and average effective dose 2.65 mSv/y which represent valuable exposure.

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Section: Methodsmentioning

confidence: 99%

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Higazy

Essa

Mubarak

et al. 2019

Sci Rep

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“…In the literature, two families of techniques are typically used to forecast pollutant concentrations or determine the factors that control NO 2 and CO concentrations. The first family uses detailed atmospheric diffusion models, which take into account the physical and chemical equations that impact pollutant concentrations [12,13,14,15,16]. The second family applies statistical methods and leverages statistical models to capture the fundamental relationship between a set of input data (i.e., independent variables) and their targets (i.e., dependent variables) [17,18,19,20,21,22,23,24,25].…”

Section: Introductionmentioning

confidence: 99%

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Phi

et al. 2019

Sensors

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Gas multisensor devices offer an effective approach to monitor air pollution, which has become a pandemic in many cities, especially because of transport emissions. To be reliable, properly trained models need to be developed that combine output from sensors with weather data; however, many factors can affect the accuracy of the models. The main objective of this study was to explore the impact of several input variables in training different air quality indexes using fuzzy logic combined with two metaheuristic optimizations: simulated annealing (SA) and particle swarm optimization (PSO). In this work, the concentrations of NO2 and CO were predicted using five resistivities from multisensor devices and three weather variables (temperature, relative humidity, and absolute humidity). In order to validate the results, several measures were calculated, including the correlation coefficient and the mean absolute error. Overall, PSO was found to perform the best. Finally, input resistivities of NO2 and nonmetanic hydrocarbons (NMHC) were found to be the most sensitive to predict concentrations of NO2 and CO.

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“…ADMS and AERMOD are arguably the most widely used near field dispersion models within the environmental science community. Both have been used to simulate the dispersion of pollutants emitted from a range of source types and validated across a range of atmospheric and terrain conditions (Abiye et al, 2016;Carruthers et al, 1997;Connan et al, 2011;Heist et al, 2013). ADMS and AERMOD use Monin-Obukhov similarity to define the structure of the planetary boundary layer and then computes the steady-state Gaussian solutions to describe the dispersion of pollutants (Heist et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…ADMS and AERMOD use Monin-Obukhov similarity to define the structure of the planetary boundary layer and then computes the steady-state Gaussian solutions to describe the dispersion of pollutants (Heist et al, 2013). For details of the runs and meteorological set-up of the window-based version of AERMOD used in this study see Abiye et al, (2016).…”

Section: Introductionmentioning

confidence: 99%

Dispersion of gas flaring emissions in the Niger delta: Impact of prevailing meteorological conditions and flare characteristics

Fawole

Cai

Abiye

et al. 2019

Environmental Pollution

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An understanding of the dispersion and level of emissions source of atmospheric pollutants; whether point, area or volume sources, is required to inform policies on air pollution and dayto-day predictions of pollution level. Very few studies have carried out simulations of the dispersion pattern and ground-level concentration of pollutants emitted from real-world gas flares. The limited availability of official data on gas flares from the oil and gas industries makes accurate dispersion calculations difficult. Using ADMS 5 and AERMOD, this study assessed the sensitivity of dispersion and ground-level concentration of pollutants from gas flares in the Niger Delta to prevailing meteorological condition; fuel composition; and flare size. Although, during the non-WAM (West African Monsoon) months (November and March), the simulated ground-level concentrations of pollutants from a single flare are lower, the dispersion of pollutants is towards both the inland and coastal communities. In the WAM months, the ground-level concentrations are higher and are dispersed predominantly over the inland communities. Less buoyant plumes from smaller flares (lower volume flow rates) and/or flaring of fuel with lower heat content results in higher ground-level concentrations in areas closer to the flare. Considering the huge number of flares scattered around the region, a mitigation of the acute local pollution level would be to combine short stacks flaring at lower volume flow rates to enhance the volume flow rate of a single exhaust, and hence, the buoyancy of the plume exiting the stack. Main finding Flare and fuel characteristics significantly affects the dispersion pattern and ground-level concentration of pollutants. There is greater population dose during the non-WAM months.

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Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO₂ and NO_X) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria

Cited by 15 publications

References 33 publications

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Dispersion of gas flaring emissions in the Niger delta: Impact of prevailing meteorological conditions and flare characteristics

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Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO2 and NOX) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria

Cited by 15 publications

References 33 publications

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Analytical Study of Fuel Switching from Heavy Fuel Oil to Natural Gas in clay brick factories at Arab Abu Saed, Greater Cairo

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Dispersion of gas flaring emissions in the Niger delta: Impact of prevailing meteorological conditions and flare characteristics

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Product

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Atmospheric dispersion modeling of uncontrolled gaseous pollutants (SO₂ and NO_X) emission from a scrap-iron recycling factory in Ile-Ife, Southwest Nigeria