Modeling of sulfur dioxide emissions in Ahvaz City, southwest of Iran during 2013
Sulfur dioxide has two important sources in the atmosphere and this is why most of scientists believe in a geographic split in the globe. Power plants, major emitter of SO2, are located in north hemisphere such as in Russia, China, Canada and the USA. In south hemisphere, phytoplankton produces a...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Guilan
2016-03-01
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| Series: | Caspian Journal of Environmental Sciences |
| Subjects: | |
| Online Access: | https://cjes.guilan.ac.ir/article_1855.html |
| Summary: | Sulfur dioxide has two important sources in the atmosphere and this is why most of scientists believe in a
geographic split in the globe. Power plants, major emitter of SO2, are located in north hemisphere such as in Russia,
China, Canada and the USA. In south hemisphere, phytoplankton produces a massive amount of dimethyl sulfide
(DMS) and dimethyl disulfide (DMDS). Then these types of reduced products dissociate in the atmosphere and
convert into SO2. It is a colorless gas which is released from burning coal, high sulfur coal and diesel fuel. The
sulfur dioxide emissions from transportation systems, steel, oil and other industries are major concerns of air
pollution in Ahvaz city, Iran. The main objective of this study was to determine the behavior of data over the time
in a specific statistical model framework and compare through intended one to implement the Box-Jenkins method
to make time series models in Ahvaz (located in Southwestern Iran), during 2013. Data of sulfur dioxide from four
monitoring stations were collected at the first step and processed by Excel software; finally, the model of sulfur
dioxide dispersion were evaluated. Time series analysis showed that air pollutants were associated with one step
delay of sulfur dioxide and two steps delay of moving average. The finding of this study showed that the average
concentration of sulfur dioxide in winter was higher than in summer. According to the results of this study,distribution of sulfur dioxide data has a correlated structure over the time; therefore the time series model is an
appropriate model to explain the behavior of sulfur dioxide over the time. |
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| ISSN: | 1735-3033 1735-3866 |