Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES
Prerita Agarwal, David S. Stevenson and Mathew R. Heal
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Abstract

Intense episodes of fine particulate matter (PM2.5) pollution often overwhelm large areas of the Indo-Gangetic Plain (IGP) in northern India during the post-monsoon season, a time when crop residue burning is at its peak. We conduct idealised emission sensitivity experiments using the WRF-Chem model to investigate the leading causes and spatiotemporal extent of one such extreme episode from 31 Oct to 8 Nov 2016, when hourly PM2.5 levels exceeded 500 μg m−3 across much of the IGP on several days. We utilise the anthropogenic emissions from EDGARv5.0 and the latest FINNv2.5 for fire emissions and evaluate modelled and observed ambient PM2.5 and black carbon (BC) concentrations across the IGP. The model captured the PM2.5 and BC peaks during the latter half of the episode and underestimated on other days. We find that biomass burning (BB) emissions during this episode have the strongest effect across the source regions in the upper (NW) IGP, followed by Delhi (middle IGP), where it contributes 50–80% to 24 h mean PM2.5. Complete elimination of BB emissions decreases PM2.5 concentrations by 400 μg m−3 (80–90%) in the upper IGP and by 280 μg m−3 (40–80%) across the middle IGP during this episode. Contributions from the BB source to daily varying BC concentrations are 80–90%, 40–85% and 10–60% across upper, middle and lower IGP, respectively. BB emissions dominantly contribute to daily mean secondary organic aerosols (80%), primary organic aerosols (90%), dust (60%), and nitrate (50%) components of PM2.5 across the upper and middle IGP. In comparison, the anthropogenic share of these compounds was nearly one-third everywhere except across the lower IGP. The buildup of the episode across the middle IGP was facilitated by prolonged atmospheric stratification and stagnation, causing BB-derived BC and PM2.5 to be trapped in the lowest 1 km. Our work emphasises the need for rigorous policy interventions during post-monsoon to reduce agricultural crop burning, together with targeted anthropogenic emissions control across the IGP, to minimise such extreme episodes in the future.

Abstract Image

量化影响 2016 年印度北部颗粒物污染事件的主要来源†。
在季风后季节,印度北部印度-甘肃平原(IGP)的大片地区经常会出现细颗粒物(PM2.5)污染的强烈事件,而此时正是农作物秸秆焚烧的高峰期。我们利用 WRF-Chem 模型进行了理想化的排放敏感性实验,研究了 2016 年 10 月 31 日至 11 月 8 日发生的一次极端事件的主要原因和时空范围,当时印度洋-甘地平原大部分地区的 PM2.5 小时浓度在数天内超过了 500 μg m-3。我们利用 EDGARv5.0 中的人为排放和最新的 FINNv2.5 中的火灾排放,对整个 IGP 环境 PM2.5 和黑碳(BC)浓度的模拟和观测结果进行了评估。模型捕捉到了事件后半段的 PM2.5 和 BC 峰值,而低估了其他日子的峰值。我们发现,在这一事件中,生物质燃烧(BB)排放对整个 IGP 上部(西北部)来源地区的影响最大,其次是德里(IGP 中部),对 24 小时平均 PM2.5 的影响为 50-80%。在这一事件中,完全消除BB排放可使IGP上部的PM2.5浓度降低400微克/立方米(80-90%),使IGP中部的PM2.5浓度降低280微克/立方米(40-80%)。在上、中和下IGP,BB源对日变化BC浓度的贡献分别为80-90%、40-85%和10-60%。在IGP上部和中部,BB排放对PM2.5的日均二次有机气溶胶(80%)、一次有机气溶胶(90%)、粉尘(60%)和硝酸盐(50%)成分有主要贡献。相比之下,除IGP下部外,这些化合物在其他地方的人为比例接近三分之一。由于大气长期分层和停滞,导致BB衍生的BC和PM2.5滞留在最低1千米处,从而促进了IGP中段的事件积累。我们的研究强调,有必要在季风过后采取严格的政策干预措施,减少农作物焚烧,同时在整个IGP范围内进行有针对性的人为排放控制,以尽量减少未来此类极端事件的发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.90
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