Modeling Air Dispersion of Pollutants Emitted from the Daura Oil Refinery, Baghdad- Iraq using the CALPUFF Modeling System

Shubbar, Ramiz M.; Lee, D. I.; Gzar, Hatem Asal; Rood, Arthur S.

doi:10.3808/jeil.201900014

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…When viewed as a whole from the graph in Figure 3, the pattern / trend of the concentration values with models and measurements tends to be the same. The results of this study are in line with research conducted by (Shubbar et al 2019).…”

Section: So 2 and No 2 Concentrations Calpuff Vs Field Observation Modelingsupporting

confidence: 91%

Analysis distribution sulfur dioxide and nitrogen dioxide concentration from PLTU Pangkalan susu with callpuff method

Zulkarnain¹,

Suryati

Pratama

2020

JPTK

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Coal-fired power plants will emit several types of pollutants into the ambient air such as particulates and gases. One way to estimate the extent of the impact distribution of these pollutants is by using air quality modeling. The model used in this study is Calpuff, where this model is a non-steady state model and is influenced by variations in meteorological factors. The research location is PLTU Pangkalan Susu (2x200 MW) with SO2 and NO2 parameters. The purpose of this study was to calculate the concentrations of SO2 and NO2 with Calpuff, to validate modeling with field observations and to simulate the distribution of impacts. The results showed that the concentration of SO2 model obtained was 0.32 - 3.57 µg/m3 and NO2 was 0.51 - 5.15 µg/m3. Meanwhile, the observation results showed that the SO2 concentration was 27 - 39.88 µg/m3 and NO2 was 19.77 - 29.73 µg/m3. The simulation results of the distribution of SO2 and NO2 concentrations with the Calpuff model show that the impact distribution area is in the direction of the wind in the windrose and the affected area is in the southwest of the PLTU Pangkalan Susu. The results of model validation for the values of d = 0.97, r = 0.616 - 0.665 and FB = -1.719 - -1.849, which means that the Calpuff model is quite valid and can be applied to predict the impact distribution area at PLTU Pangkalan Susu.

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Section: So 2 and No 2 Concentrations Calpuff Vs Field Observation Modelingsupporting

confidence: 91%

Analysis distribution sulfur dioxide and nitrogen dioxide concentration from PLTU Pangkalan susu with callpuff method

Zulkarnain¹,

Suryati

Pratama

2020

JPTK

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“…The statistical analysis was also used to assess health based on CO Concentrations as introduced by Abbas et al, 2021 [18] who proposed a relative risk method depending on the association between diseases and exposure to air pollutants including CO. Their results indicated that CO concentrations did not exceed World human health (WHO) standards in Iraqi cities (Kirkuk, Baghdad, Al-Najaf, Al-Muthanna, and Maysan). Mahdi et al, 2020 [19] statistically evaluated the daily and monthly CO concentrations as well as weather data such IOP Publishing doi:10.1088/1755-1315/1129/1/012041 3 as temperature and solar radiation in four cities (Baghdad, Mosul, Basrah, and Rutba), results showed that the highest CO concentration was recorded in Baghdad 0.0013 kg/m3. Scientists developed a technique based on the dispersion theory of gases.…”

Section: Related Workmentioning

confidence: 99%

The evaluation of carbon monoxide emissions using regression analysis and GIS techniques

Dhumad

Jasim

Hamed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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In the last few years, Baghdad city has witnessed substantial changes in the land use/land cover, a significant increase in the number of inhabitants, number of vehicles, and industrial activities. As a result, air pollutants from traffic, industries, cooking, and waste incineration are relatively increased. Moreover, Baghdad city is considered an attractive location for a large number of humans, where the potential for human exposure to relatively high air pollutants makes Baghdad city a good target of investigation in recent studies related to air pollution in urban areas. Carbon Monoxide (CO) is one of the air pollutants, which is considered colourless and odourless mainly emitted from the uncompleted process of fuel combustion. CO has negative impacts on human health. The evaluation of Carbon monoxide in urban areas usually requires the implementation of appropriate methods, which can enable an understanding of the relationship between CO sources and receptors to adopt proper strategies for pollution mitigation within urban areas. In this study, we proposed a model based on the integration between GIS data and regression analysis to predict hourly CO concentrations in an urban area, Baghdad, Iraq. Regression modelling was carried out depending on independent variables (Temperature, Humidity, Wind speed, Wind direction, Solar Radiation, Built-up area, Agricultural lands, Water, Barren land, Road length) and dependent variables included samples of hourly CO concentrations during 2019. The modelling results indicated that the correlation coefficient was achieved at 0.8845, while the Root mean squared error was 0.1208 ppm. On the other hand, the R-squared was 0.74 according to the testing data and 0.78 according to the training data. The presented regression model might be adopted as an evaluation tool for the air pollutants studies in Iraq. The presented model might be used as an efficient tool for the air pollutants evaluation in Iraq. This can support private agencies and the government in Iraq. The proposed regression model can be upgraded to be more generalized for other locations in Iraq by collecting more environmental and geographic information like air pollutants related to CO such as CO2, traffic data, roads condition, building height, and elevation that can improve the proposed model.

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“…Modelling of 8 hours of CO concentration by using AERMOD dispersion model in the city of Aracaju (Macêdo & Ramos, 2020) Instead of monitoring air pollution in a city, AERMOD can be used in analyzing distribution of exhaust emission in Gas Turbine Power Plant (Zakaria, Aly & Annisa, 2020) as it is also includes gases such as SO2, NO2, CO and particulate matter (PM). CALLPUFF is another example of air quality model that can be an alternative for AERMOD to model power plant emission and also used in modelling gases emission from oil refinery process (Shubbar, Lee, Gzar, & Rood, 2019). Aside from AERMOD and CALPUFF, CFD (Kwak, Baik, Ryu, & Lee, 2015;Rivas et al, 2019) can also involve in modelling air quality.…”

Section: Related Workmentioning

confidence: 99%

Visualising Urban Air Quality Using Aermod, Calpuff and CFD Models: A Critical Review

Ridzuan

Ujang

Azri

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Degradation of air quality level can affect human’s health especially respiratory and circulatory system. This is because the harmful particles will penetrate into human’s body through exposure to surrounding. The existence of air pollution event is one of the causes for air quality to be low in affected urban area. To monitor this event, a proper management of urban air quality is required to solve and reduce the impact on human and environment. One of the ways to manage urban air quality is by modelling ambient air pollutants. So, this paper reviews three modelling tools which are AERMOD, CALPUFF and CFD in order to visualise the air pollutants in urban area. These three tools have its own capability in modelling the air quality. AERMOD is better to be used in short range dispersion model while CALPUFF is for wide range of dispersion model. Somehow, it is different for CFD model as this model can be used in wide range of application such as air ventilation in clothing and not specifically for air quality modelling only. Because of this, AERMOD and CALPUFF model can be classified in air quality modelling tools group whereas CFD modelling tool is classified into different group namely a non-specific modelling tool group which can be implemented in many fields of study. Earlier air quality researches produced results in two-dimensional (2D) visualization. But there are several of disadvantages for this technique. It cannot provide height information and exact location of pollutants in three-dimensional (3D) as perceived in real world. Moreover, it cannot show a good representation of wind movement throughout the study area. To overcome this problem, the 3D visualization needs to be implemented in the urban air quality study. Thus, this paper intended to give a better understanding on modeling tools with the visualization technique used for the result of performed research.

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Modeling Air Dispersion of Pollutants Emitted from the Daura Oil Refinery, Baghdad- Iraq using the CALPUFF Modeling System

Cited by 7 publications

References 11 publications

Analysis distribution sulfur dioxide and nitrogen dioxide concentration from PLTU Pangkalan susu with callpuff method

Analysis distribution sulfur dioxide and nitrogen dioxide concentration from PLTU Pangkalan susu with callpuff method

The evaluation of carbon monoxide emissions using regression analysis and GIS techniques

Visualising Urban Air Quality Using Aermod, Calpuff and CFD Models: A Critical Review

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