TY - JOUR ID - 32677 TI - Statistical trend analysis and forecast modeling of air pollutants JO - Global Journal of Environmental Science and Management JA - GJESM LA - en SN - 2383-3572 AU - Jaiswal, A. AU - Samuel, C. AU - Kadabgaon, V.M. AD - Department of Mechanical Engineering, Indian Institute of Technology, Varanasi, India AD - Department of Mechanical Engineering, Brahmdevdata Mane Institute of Technology, Solapur, India Y1 - 2018 PY - 2018 VL - 4 IS - 4 SP - 427 EP - 438 KW - Air pollutants KW - Autoregressive integrated moving average (ARIMA) KW - Forecast KW - Mann-Kendall KW - Sen’s slope estimator DO - 10.22034/gjesm.2018.04.004 N2 - The study provides a statistical trend analysis of different air pollutants using Mann-Kendall and Sen’s slope estimator approach on past pollutants statistics from air quality index station of Varanasi, India. Further, using autoregressive integrated moving average model, future values of air pollutant levels are predicted. Carbon monoxide, nitrogen dioxide, sulphur dioxide, particulate matter particles as PM2.5 and PM10 are the pollutants on which the study focuses. Mann-Kendall and Sen’s slope estimator tests are used on summer (February-May), monsoon (June-September) and winter (October-January) seasonal data from year 2013 to 2016 and trend results and power of the slopes are estimated.  For predictive analysis, different autoregressive integrated moving average models are compared with goodness of fit statistics, and the observed results stated autoregressive integrated moving average (1,1,1) as the best-suited for forecast modeling of different pollutants in Varanasi. Autoregressive integrated moving average model (1,1,1) is also used on the annual concentration levels to predict forthcoming year's annual pollutants value. Study reveals that PM 10 shows a rising trend with predicted approximate annual concentration of 273 µg/m3 and PM2.5, carbon monoxide, nitrogen dioxide and  sulphur dioxide show a reducing trend with approximate annual concentration of 139 µg/m3, 1.37 mg/ m3, 38 µg/m3 and 17 µg/m3, respectively, by the year 2030. The study predicted carbon monoxide, nitrogen dioxide andsulphur dioxide concentrations are lower and PM10 and PM2.5 concentrations are much higher to the standard permissible limits in future years also, and specific measures are required to control emissions of these pollutants in Varanasi. UR - https://www.gjesm.net/article_32677.html L1 - https://www.gjesm.net/article_32677_5f963b8fd6d5ed08e88b7f101833d35e.pdf ER -