Yuvaraj Ramachandran Muthulakshmi|Sakthivel Mathivanan|Marangattu Raghavan Sindhumol
A study to access and estimation of air pollution using a multivariate statistical model in Chennai, India
introduction rapid urbanization industrial growth primary causes deteriorating urban air quality developing countries including india vehicular emission significant cause degradation air quality includes air pollution like carbon monoxide hydrocarbons oxides nitrogen oxides sulfur suspended particulate matter spm respiratory particulate matters pm25 pm10 leadx0d materials methods study considered land useland cover land surface temperature vegetation literacy rate vehicle population population density households finding responsible causes air pollutionfor analysis supervised classification using arcgis extracting land use land cover least slack time lst algorithms used extract land surface temperature spatial interpolation methods like inverse distance weighting idw using arcgis identifying spatial distribution literacy rate vehicle population population density households finally multivariate statistical model applied identify major responsible factor air pollution using spssx0d results study reveals particulate matter standard value prescribed central pollution control board highest air pollution primarily responsible vehicle population industries wednesday thursday maximum pollution chennai whereas recorded low sunday compared daysx0d conclusion regression shows vehicle population responsible air pollution followed population