Feature Prediction in Urban and Industrial Area of Chemical Data Based Air Quality

Abstract

Chemical air pollution can affect our health and the environment in many ways. In the last few
years, heavy environmental loads have led to deteriorating air quality in Chennai's urban and
industrial areas. The work of controlling and improving air quality has attracted a huge chunk of
national attention. Ambient air quality data mining is a tool that deals with the search for
patterns hidden within the available data, so that the information obtained can be converted into
usable knowledge. This work aid data mining to uncover the secret knowledge of the
distribution of large quantities of chemical air pollution obtained from monitoring stations in the
Chennai area. TNPCB (Tamil Nadu Pollution Control Board) provides online data from
Annanagar, Adayar, T.Nagar, Nunambakkam monitoring stations. CPCB (Central Pollution
Control Board) Online Information Alandur, Provides data from IIT and Manali observation
stations. TNPCB online data, CPCB online data and industrial data have been collected from an
agency monitoring system from PM10, PM2.5, SO2, NO2 for the last four years (2017-2019)
using data mining techniques to identify the distribution of suspended particles such as polluted
environmental air. The data is analyzed. It helps to predict air quality in the urban and industrial
areas of Chennai and can serve as an important reference for government agencies in evaluating
and determining chemical air pollution policies in the future. CPCB online data and industry
data from an agency monitoring system. PM10, PM2.5, SO2, NO2 polluted environmental air is 

analyzed using data mining techniques in the last four years (2017-2019) identi identifying
suspended particle distribution. It helps to predict air quality in the urban and industrial areas of
Chennai and can serve as an important reference for government agencies in evaluating and
determining future chemical air pollution policies. CPCB online data and industry data from an
agency monitoring system. Data are analyzed using data mining techniques in the last four years
(2017-2019) to identify the distribution of suspended particles such as PM10, PM2.5, SO2, NO2
polluted environmental air. It helps to predict air quality in the urban and industrial areas of
Chennai and it can serve as an important reference for government agencies in evaluating and
adopting future chemical air pollution policies. NO2 polluted environmental air is analyzed
using data mining techniques in the last four years (2017-2019) identi identifying the
distribution of suspended particles. It helps to predict air quality in the urban and industrial
areas of Chennai and can serve as an important reference for government agencies in evaluating
and adopting chemical air pollution policy in the future.