The impact of crop residue burning (CRB) on the diurnal and seasonal variability of the ozone and PM levels at a semi-urban site in the north-western Indo-Gangetic plain

被引:9
|
作者
Rana, Madhvi [1 ]
Mittal, Susheel K. [1 ]
Beig, Gufran [2 ]
Rana, Prashant [3 ]
机构
[1] Thapar Univ, Sch Chem & Biochem, Patiala 147004, Punjab, India
[2] Indian Inst Trop Meteorol, Pune 411008, Maharashtra, India
[3] Thapar Univ, Dept Comp Sci & Engn, Patiala 147004, Punjab, India
关键词
Indo-Gangetic plain; ozone; PM10 and PM2; 5; meteorology; correlation analysis; linear and nonlinear regression analysis; LONG-RANGE TRANSPORT; SURFACE OZONE; URBAN SITE; PARTICULATE MATTER; POTENTIAL SOURCES; AIR-QUALITY; PRECURSORS; METEOROLOGY; POLLUTANTS; EPISODES;
D O I
10.1007/s12040-019-1164-z
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Ozone and particulate matter (PM), PM10 and PM2.5, were monitored along with meteorological parameters at a semi-urban location, Patiala, in the north-western Indo-Gangetic plain from December 2013 to November 2014. The annual mean concentration levels of PM10, PM2.5 and ozone were recorded as 178 mu g m(-3), 88 mu g m(-3) and 39 ppb, which also exceeded the national standards on a 24-h average basis, by 77.3% (335 days), 53.2% (338 days) and 20 days, respectively. High levels of PM (PM10 and PM2.5) were observed in winter (58-381 and 42-270 mu g m(-3)) and in the post-monsoon (71-320 and 39-320 mu g m(-3)) season and a rise in the level of ozone was observed in summer (22-72 ppb) and in the post-monsoon season (23-73 ppb), respectively. The rate of ozone production was the highest during the post-harvest fire period (3.94 ppb O-3/h in May and 4.23 ppb O-3/h in November). A Pearson correlation study showed the strong dependency of PM and ozone on meteorological variables. Relative humidity has the highest ranking for ozone and PM10, while wind speed has the lowest rank for ozone, PM10 and PM2.5 in the order of factors affecting the level of pollutants. The generalised linear model and the neural network model (for ozone) and the random forest model (for PM) outperformed on the basis of performance indices and further cross-validation was done.
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页数:16
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