|تعداد مشاهده مقاله||111,555,677|
|تعداد دریافت فایل اصل مقاله||86,185,137|
Status and prediction of sulfur dioxide as an air pollutant in the city of Ahvaz, Iran
|مقاله 4، دوره 3، شماره 2، تیر 2017، صفحه 201-211 اصل مقاله (777.95 K)|
|نوع مقاله: Original Research Paper|
|شناسه دیجیتال (DOI): 10.7508/pj.2017.02. 004|
|Masoud Masoudi* 1؛ Elmira Asadifard2؛ Marzieh Rastegar2؛ Amin Shirvani3|
|1Associate Professor, Department of Natural Resources and Environmental Engineering, Shiraz University, Iran|
|2Department of Natural Resources and Environmental Engineering, Shiraz University, Iran|
|3Department of Water Engineering, Shiraz University, Iran|
|The present research analyzes air quality in Ahvaz, a city in the south of Iran, paying special attention to sulfur dioxide (SO2). In order to prepare the average data in the city, measurements have been carried out between 2009 and 2010 in two different locations. Relations between sulfur dioxide and some meteorological parameters have been calculated statistically, using the daily average data. The wind data (velocity, direction), relative humidity, temperature, sunshine periods, evaporation and rainfall have been considered as independent variables. The RMSE Test showed that among different prediction models, the stepwise one is the best option. The average concentrations have been calculated for every 24 hours, during each month and each season. Results show that the highest concentration of sulfur dioxide occurs generally in the morning while the lowest concentration is found before the sunshine. In case of the monthly concentrations of sulfur dioxide, the highest value belongs to January, while the lowest one occurs in October. And as for the seasonal concentrations, it has been shown that the highest amounts belong to winter. Results show that quantities of SO2 in different seasons as well as the entire year can be estimated by climate parameters. Results also indicate that the relations between the SO2 and meteorological parameters are stronger than the entire year during the seasons.|
|air pollution؛ meteorological parameters؛ Regression model؛ Sulfur Dioxide|
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