Multiple regression and multi resolution analysis to identify factors affecting PM10 levels in Bangalore City (Sghalli Area)

Susmith Barigidad, Shashank Prasad, Vinayak Nayak, Sai Tarun Kumar N
2018 International Journal of Statistics and Applied Mathematics  
Bangalore being one of the most growing cities in India has seen significant change after development. Air pollution has tremendously increased and could pose problems if not controlled. The current work focusses on understanding the factors which influence PM10 (Particulate Matter) Levels with focus on Sghalli locality. To understand the factors which affect, multiple regression analysis and multi resolution techniques were applied. Factors which were considered for the study include Sulphur
more » ... y include Sulphur oxides, Carbon monoxide, Nitrous oxides, Wind Speed, humidity, Wind Direction, Solar radiation, O3 and the response variable considered for the study was Logarithm of Pm10 levels.
doi:10.22271/maths.2018.v3.i5a.07 fatcat:fgu3jpopnbadni3bww6nejpcyu