Abstract
In the present study, air quality analyses for particulate matters (PM10) were conductedin Ahvaz, a city in the south of Iran. The measurements were taken from 2009 through2010 in two different locations to prepare average data for the city. The averageconcentrations were calculated for every 24 hours, and each month and each season whichshowed the highest concentration of PM10 in the morning while the least concentration wasfound in the afternoon. Monthly concentrations of the PM10 showed the highest value inJuly and the least in January. The seasonal concentrations show the highest amounts insummer. Relationships between air pollutant and meteorological parameters were assessedstatistically using the daily average data. The wind data (velocity, direction), relativehumidity, temperature, sunshine periods, dew point and rainfall were considered asindependent variables. The relationships were expressed by multiple linear and nonlinearregression equations for annual and seasonal conditions using SPSS software. Resultsshowed significant relationships between PM10 and some meteorological parameters.RMSE test showed that among the different prediction models, stepwise model is the bestoption. Unfortunately, mostly the concentration of the PM10 was very higher than primarystandards of PM10 (50 μg/m3) for human health, that is why recently, Ahvaz is consideredone of worst polluted cities in the country.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.