Volume : X, Issue : V, May - 2020
Use of Statistical Methods for Ambient Air Quality data
Dr. Ashok Yeshwantrao Tayade
Abstract :
The purpose is to know the Ambient Air quality at different stations in Aurangabad city, which was undertaken for the study. Twenty–four hours of air sampling was carried out during the Feb.–2017 to Dec.–2019. Statistical Methods, Air Quality Index (AQI) and Time Series Analysis, Seasonal variation and coefficient of variation and cluster analysis were employed for analysis data. The parameters are Sulphur dioxide (SO2), Oxides of Nitrogen (NOX) and Reparable suspended particulate matter (RSPM or PM10) below 10–micron partials. The results indicated that the RSPM extensively contribute to air pollution at this location throughout the study period.
Keywords :
Air Quality Index Rating scale Multivariate analysis method of cluster analysis Average Coefficient of variation SeasonalVariation and Time Series Analysis
Article:
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DOI : 10.36106/ijar
Cite This Article:
USE OF STATISTICAL METHODS FOR AMBIENT AIR QUALITY DATA, Dr. ASHOK YESHWANTRAO TAYADE INDIAN JOURNAL OF APPLIED RESEARCH : Volume-10 | Issue-5 | May-2020
Number of Downloads : 190
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USE OF STATISTICAL METHODS FOR AMBIENT AIR QUALITY DATA, Dr. ASHOK YESHWANTRAO TAYADE INDIAN JOURNAL OF APPLIED RESEARCH : Volume-10 | Issue-5 | May-2020
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