Fireworks induced particle pollution: A spatio-temporal analysis

被引:58
|
作者
Kumar, M. [1 ]
Singh, R. K. [2 ]
Murari, V. [1 ]
Singh, A. K. [3 ]
Singh, R. S. [4 ]
Banerjee, T. [1 ]
机构
[1] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi 221005, Uttar Pradesh, India
[2] Int Ctr Agr Res Dry Areas, New Delhi, India
[3] Banaras Hindu Univ, Dept Phys, Atmospher Res Lab, Varanasi, Uttar Pradesh, India
[4] Indian Inst Technol BHU, Dept Chem Engn & Technol, Varanasi, Uttar Pradesh, India
关键词
Aerosol; CALIPSO; Fireworks; Indo-Gangetic Plain; MODIS-AOD; OMI; AEROSOL OPTICAL DEPTH; PARTICULATE MATTER; FINE PARTICULATE; INDIA; AIR; WINTERTIME; EMISSIONS; FESTIVAL; IMPACT;
D O I
10.1016/j.atmosres.2016.05.014
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Diwali-specific firework induced particle pollution was measured in terms of aerosol mass loading, type, optical properties and vertical distribution. Entire nation exhibited an increase in particulate concentrations specifically in Indo-Gangetic Plain (IGP). Aerosol surface mass loading at middle IGP revealed an increase of 56-121% during festival days in comparison to their background concentrations. Space-borne measurements (Aqua and Terra-MODIS) typically identified IGP with moderate to high AOD (03-0.8) during pre-festive days which transmutes to very high AOD (0.4-1.8) during Diwali-day with accumulation of aerosol fine mode fractions (03-1.0). Most of the aerosol surface monitoring stations exhibited increase in PM2.5 especially on Diwali-day while PM10 exhibited increase on subsequent days. Elemental compositions strongly support K, Ba, Sr, Cd, S and P to be considered as firework tracers. The upper and middle IGP revealed dominance of absorbing aerosols (OMI-AI: 0.80-1.40) while CALIPSO altitude-orbit-cross-section profiles established the presence of polluted dust which eventually modified with association of smoke and polluted continental during extreme fireworks. Diwali-specific these observations have implications on associating fireworks induced particle pollution and human health while inclusion of these observations should improve regional air quality model. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:78 / 91
页数:14
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