Health risk assessment of emissions from a coal-fired power plant using AERMOD modelling

Mokhtar, Mutahharah M.; Hassim, Mimi Haryani; Taib, Rozainee M.

doi:10.1016/j.psep.2014.05.008

Cited by 91 publications

(68 citation statements)

References 17 publications

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“…Different studies focus on different kinds of risks associated with the process of carbon capture such as (1) cancer and non-cancer risks; (2) population exposure per unit of emissions, which is associated with atmospheric condition, the population size, and their proximities to the emissions; (3) social and mental impacts; and (4) accidents and deaths [9,14,15,[39][40][41][42]. According to [9], among the emissions from coal-fired electricity-generating plants, As and Cr were the main contributors to cancer risks, and HCl, Mn, HF, and Hg contributed to the noncancer risks.…”

Section: Discussionmentioning

confidence: 99%

“…In addition, while rainfall parameters (e.g., wind, temperature, inversions, rainfall's duration, frequency, and intensity) and precipitation near the stacks affect the deposition of wet mercury (Hg), various meteorological factors such as wind speed affect the deposition of dry Hg [12,13]. According to [9] and [14], even though most power plants were unlikely to cause any significant non-cancer risks to human health, arsenic (As), chromium (Cr), and lead (Pb) were the primary contributors to these risks. For cancer risks, the results showed that the pollutants would not cause any carcinogenic health effects to the population [9,14].…”

Section: +mentioning

confidence: 99%

“…According to [9] and [14], even though most power plants were unlikely to cause any significant non-cancer risks to human health, arsenic (As), chromium (Cr), and lead (Pb) were the primary contributors to these risks. For cancer risks, the results showed that the pollutants would not cause any carcinogenic health effects to the population [9,14]. The studies on air dispersion and risks from coal-fired power plants are summarized in Table 1.…”

Section: +mentioning

confidence: 99%

See 2 more Smart Citations

A Comparative Study of Human Health Impacts Due to Heavy Metal Emissions from a Conventional Lignite Coal-Fired Electricity Generation Station, with Post-Combustion, and Oxy- Fuel Combustion Capture Technologies

Koiwanit¹,

Manuilova²,

Chan³

et al. 2016

Greenhouse Gases - Selected Case Studies

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Section: Discussionmentioning

confidence: 99%

Section: +mentioning

confidence: 99%

Section: +mentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study of Human Health Impacts Due to Heavy Metal Emissions from a Conventional Lignite Coal-Fired Electricity Generation Station, with Post-Combustion, and Oxy- Fuel Combustion Capture Technologies

Koiwanit¹,

Manuilova²,

Chan³

et al. 2016

Greenhouse Gases - Selected Case Studies

View full text Add to dashboard Cite

“…The pollutant concentration predicted from AERMOD has been used to estimate the corresponding health risk assessment for the population, and therefore the cost can be estimated for health impact from air pollution (Mokhtar et al, 2014). This model is used for a critical evaluation of risk to human health for the proximity area of coal-fired power plant in Malaysia.…”

Section: Application Of Aermod For Impact Assessmentmentioning

confidence: 99%

Application of WRF Model for Air Quality Modelling and AERMOD - A Survey

Kumar

Patil

Dikshit

et al. 2017

Aerosol Air Qual. Res.

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Meteorology plays a crucial role in air quality. The presence of uncertainties of a significant nature in the meteorological profile used during air quality model simulation has the potential to affect negatively the results of the simulations. This paper describes a most recent version of the meteorological model called Weather Research and Forecasting (WRF) model and its importance in air quality. The performance of WRF depends upon the intended application and parameterization scheme of physics options. WRF model is also applied to investigate the simulation results with various land surface models (LSMs) and Planetary Boundary Layer (PBL) parameterizations and various set of microphysics options. It predicts various meteorological spatial parameters like mixing layer height, temperature, humidity, rain fall, cloud cover and wind. The WRF results are integrated with air quality model (AQM) and the AQM depends upon the performance of WRF. It has been applied for evaluation of national pollution control policy, behaviour of plume rise, property of aerosols, prediction of Ozone, SO 2 , NO x , PM 10 , PM 2.5 etc. using AQM for various sources. The effect of topography and different seasons on the concentration of pollutants in the atmosphere has also been studied using AQM. AQM AERMOD has also been reviewed with various other AQM models such as ADMS-Urban and CALPUFF. AERMOD has been used for different time scales, health risk assessment, evaluation of various control strategies, Environmental Impact Assessment (EIA) studies and emission factor estimation. This paper presents the importance of meteorological model to AQM as well as many applications of AQM to demonstrate various scientific questions and policies.

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“…The primary input to AERMOD was the "run stream setup file" and contains source location, parameter data, receptor location, pre-processor meteorological data file (American Meteorological Society/Environmental Protection Agency Regulatory Meteorological (AERMET)), and output options. The background concentration values and ambient air quality standard values for air contaminants were adopted from available regional ambient air quality monitoring data provided by the Saskatchewan Ministry of Environment [22][23][24][25]. The cumulative assessment of each air contaminant was addressed by the inclusion of ambient background concentrations of an air contaminant to the predicted value from AERMOD to obtain total concentrations before making a comparison to Saskatchewan ambient air quality standards.…”

Section: Life-cycle Impact Assessmentmentioning

confidence: 99%

Environmental Performance of Hypothetical Canadian Pre-Combustion Carbon Dioxide Capture Processes Using Life-Cycle Techniques

Piewkhaow

Manuilova²,

Chan

et al. 2016

Technologies

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Abstract:The methodology of life-cycle assessment was applied in order to evaluate the environmental performance of a hypothetical Saskatchewan lignite-fueled Integrated Gasification Combined Cycle (IGCC) electricity generation, with and without pre-combustion carbon dioxide (CO 2 ) capture from a full life-cycle perspective. The emphasis here is placed on environmental performance associated with air contaminants of the comparison between IGCC systems (with and without CO 2 capture) and a competing lignite pulverized coal-fired electricity generating station in order to reveal which technology offers the most positive environmental effects. Moreover, ambient air pollutant modeling was also conducted by using American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) air dispersion modeling to determine the ground-level concentration of pollutants emitted from four different electricity generating stations. This study assumes that all stations are located close to Estevan. The results showed a significant reduction in greenhouse gas (GHG) emissions and acidification potential by applying both post-combustion and pre-combustion CO 2 capture processes. The GHG emissions were found to have reduced by 27%-86%, and IGCC systems were found to compare favorably to pulverized coal systems. However, in other environmental impact categories, there are multiple environmental trade-offs depending on the capture technology used. In the case of post-combustion capture, it was observed that the environmental impact category of eutrophication potential, summer smog, and ozone depletion increased due to the application of the CO 2 capture process and the surface mining coal operation. IGCC systems, on the other hand, showed the same tendency as the conventional coal-fired electricity generation systems, but to a lesser degree. This is because the IGCC system is a cleaner technology that produces lower pollutant emission levels than the electricity generating station; thus, the benefits of capture are reduced on a comparative basis. The results from air dispersion analysis showed that the maximum ground-level concentrations of pollutants from all electricity generating stations are in compliance with all air quality standards, except for Co, Pb and Ni. The IGCC with capture revealed the lowest nitrogen dioxide (NO 2 ) ground-level concentration compared to all other scenarios. Moreover, IGCC systems both with and without pre-combustion CO 2 capture revealed no ground-level concentration of trace elements. This is because the IGCC system operates with an acid gas cleaning process that removes most of the trace contaminants from the syngas.

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Health risk assessment of emissions from a coal-fired power plant using AERMOD modelling

Cited by 91 publications

References 17 publications

A Comparative Study of Human Health Impacts Due to Heavy Metal Emissions from a Conventional Lignite Coal-Fired Electricity Generation Station, with Post-Combustion, and Oxy- Fuel Combustion Capture Technologies

A Comparative Study of Human Health Impacts Due to Heavy Metal Emissions from a Conventional Lignite Coal-Fired Electricity Generation Station, with Post-Combustion, and Oxy- Fuel Combustion Capture Technologies

Application of WRF Model for Air Quality Modelling and AERMOD - A Survey

Environmental Performance of Hypothetical Canadian Pre-Combustion Carbon Dioxide Capture Processes Using Life-Cycle Techniques

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