Determination of Crisis on Climatic Fluctuations and Smog Deterioration by Categorizing the Condition Using Predictive Analytics

Abstract

In the recent years, the climatic conditions and the air pollution are drastically getting increased due to which the environment conditions are disturbed. Deterioration of the environment by the depletion of natural resources such as air, soil and water cause environmental degradation. When the temperature gets high, the climatic change leads an increase in the ozone layer, air pollutant. Due to these disruptions, the conditions of the living beings are getting changed. To maintain the proper temperature and climatic conditions, the usage of carbon, fuels, plastics and non biodegradable products has to be prohibited. Due to the emission of harmful air pollutants, the climatic change is getting changed accordingly. Contaminating the air can damage the air quality in the environment. Hence, the air quality and the climatic change play a vital role in the environment aspect. For detecting the various climatic condition states and the air quality, the variations over the dataset have to be predicted. By predicting those values, the use of non biodegradable products can be decreased. For the prediction and classifying the training dataset, machine learning approach is implemented. By using the supervised learning approach, the dataset can be classified by predicting the condition state. The use of this approach is to take initiative and precautionary step of reducing the non biodegradable products which are used. Climatic factors change according to the temperature humidity, wind speed, pressure, moisture content, wind direction.