Predicting Trends in Air Pollution - Couverture souple

Pardeshi, Shailendra

 
9786202010597: Predicting Trends in Air Pollution

Synopsis

Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.

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Présentation de l'éditeur

Over the past years the development and urbanization in Delhi has led to increase in air pollution. This has led to study and research in this area. Data mining is used to analyze the existing trends in air pollution in Delhi for making prediction about the future. The data mining techniques used are linear regression and multilayer percep- tron. There are trends of various air pollutants like sulphur dioxide(SO2), nitrogen dioxide (NO2), particulate matter (PM), carbon monoxide (CO), ozone (O3). By using the above techniques it is observed that there will be an increase in amount of PM10 by 45.9 percent in coming years.

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