Data Mining In the Prediction of Impacts of Ambient Air Quality Data Analysis in Urban and Industrial Area

Abstract

Air pollution caused due to the introduction of particulate matters, biological molecules and other harmful materials into the Earth's atmosphere. Pollution brings vital diseases, death to humans, damages other living organisms such as vegetations, animals, natural environment and built environment. Data mining concerned with finding hidden patterns inside largely available data, so that the information retrieved can be transformed into usable knowledge. The Air Quality Index is an indicator of air quality standards around Chennai. It is based on air pollutants that have bad effects on human health and the environment. Growing use of vehicles in the city and growing industrial activities on the outskirt of city cause more air pollution. The problem of air pollution is becoming a major concern for the health of the population. The ambient air quality data collected from Central Pollution Control Board and Tamil Nadu Pollution Control Board ambient air quality data available in the websites. Air quality is monitored by air quality monitoring stations in Chennai through the use of wireless sensors deployed in huge numbers around the city and industrial areas. The four years of data from the year 2012 to 2015 are collected from various monitoring stations and processed. Data mining tool is used for the prediction, forecasting and support in making effective decision. Artificial Neural Network model in Data mining techniques analyzed the data using Feed Forward Neural Networks and Multilayer Perceptron neural network models. The pattern obtained from these models could serve as an important reference for the Government policy makers in devising future air pollution standard policies.