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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF


International Journal of Applied Research

Vol. 3, Issue 8, Part G (2017)

Multivariate regression analysis of air quality index for Hyderabad city: Forecasting model with hourly frequency

Tripti Singh Rajput and Nandini Sharma
The present study gives a description on air quality index (AQI) for the major city of India i.e. Hyderabad. Major parameter considered for AQI computation are NO, NO2, NOx, SO2, Ambient temperature, relative humidity, bar pressure, solar radiation, wind speed, wind direction, benzene, toluene, xylene, PM2.5 and rack temperature. An approach to assess and represent air quality status through an Air Quality Index (AQI), in Hyderabad city is done by representing the variation of AQI with a multivariate regression model. The utility of this study lies for major metropolitan cities, where different types of activities, viz. industrial, commercial and residential are in progress, on a short and a long term basis this model can be useful for better forecasting of air quality parameters. To make the index more informative, air quality status is classified into five different categories, viz. Clean, Moderate, Poor, Bad and Dangerous. Long term air quality indices are then calculated using hourly basis data for Hyderabad city which is a metropolitan city of India and is fast developing in terms of different climatologically defined features. The included application of this formal analysis includes accounting for atmospheric processes, ambient measurements, emissions characterization, air quality modeling of emissions to ambient concentrations, and characterization of human and ecological responses to ambient pollutant exposure. There is a need for new management strategy that would expand the current practice of accountability that relates emission reductions and attainment of air quality derived from air quality criteria and standards. Conceptually, achievement of accountability would establish goals optimizing risk reduction associated with pollution management.
Pages: 443-447  |  781 Views  12 Downloads
How to cite this article:
Tripti Singh Rajput, Nandini Sharma. Multivariate regression analysis of air quality index for Hyderabad city: Forecasting model with hourly frequency. Int J Appl Res 2017;3(8):443-447.
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