Extreme Events of Reactive Ambient Air Pollutants and their Distribution Pattern at Urban Hotspots

Sunil Gulia ； S.M. Shiva Nagendra ； Mukesh Khare

《Aerosol and Air Quality Research》 17卷2期 (2017/02) Pp. 394-405(i-iv)

摘要

The occurrence of extreme events of air pollutant concentrations at urban hotspots is a routine phenomenon, particularly during the winter season. However, extreme events of reactive air pollutants are more frequent during the summer season. The assessment of air pollution extreme events will provide a platform to formulate an effective and efficient hotspot urban air quality management plan. The statistical distribution model (SDM) is widely used to describe the average as well as extreme air pollutant concentration in a more organized and efficient manner. In the present study, the best fit SDM has been evaluated for hourly average PM_(2.5) and NO_2 concentrations at one of the busiest traffic intersections in Delhi city (air pollution hotspot 1: APH-1) and for PM_(2.5) at one of the heavily trafficked road corridors in Chennai city (air pollution hotspot 2: APH -2). The SDMs were developed for different seasons to evaluate the impacts of climatic conditions on the air pollution events. Results indicate that NO_2 concentrations were best fitted with lognormal and log logistic distribution models respectively, for winter and summer seasons at APH-1. However, lognormal distribution was best fitted to PM_(2.5) concentration of winter and summer seasons at both APHs.

關鍵字

Extreme pollutant concentrations ； Urban hotspot ； Statistical distribution model ； Goodness of fit test ； Location and Scale parameters