Abstract:
Stubble-burning in northern India is an important source of atmospheric particulate matter (PM) and trace gases, which significantly impact local and regional climate, in addition to causing severe health risks. Scientific research on assessing the impact of these burnings on the air quality over Delhi is still relatively sparse. The present study analyzes the satellite-retrieved stubble-burning activities in the year 2021, using the MODIS active fire count data for Punjab and Haryana, and assesses the contribution of CO and PM2.5 from such biomass-burning activities to the pollution load in Delhi. The analysis suggests that the satellite-retrieved fire counts in Punjab and Haryana were the highest among the last five years (2016-2021). Further, we note that the stubble-burning fires in the year 2021 are delayed by ∼1 week compared to that in the year 2016. To quantify the contribution of the fires to the air pollution in Delhi, we use tagged tracers for CO and PM2.5 emissions from fire emissions in the regional air quality forecasting system. The modeling framework suggests a maximum daily mean contribution of the stubble-burning fires to the air pollution in Delhi in the months of October-November 2021 to be around 30-35%. We find that the contribution from stubble burning activities to the air quality in Delhi is maximum (minimum) during the turbulent hours of late morning to afternoon (calmer hours of evening to early morning). The quantification of this contribution is critical from the crop-residue and air-quality management perspective for policymakers in the source and the receptors regions, respectively.
摘要:
印度北部的残茬燃烧是大气颗粒物(PM)和痕量气体的重要来源,对当地和区域气候产生重大影响,除了造成严重的健康风险。评估这些燃烧对德里空气质量影响的科学研究仍然相对较少。本研究使用旁遮普邦和哈里亚纳邦的MODIS主动火灾计数数据,分析了2021年卫星回收的残茬燃烧活动,并评估此类生物质燃烧活动对德里污染负荷的CO和PM2.5的贡献。分析表明,旁遮普邦和哈里亚纳邦的卫星火灾数量是过去五年(2016-2021年)中最高的。Further,我们注意到,与2016年相比,2021年的烧茬火灾推迟了1周。为了量化火灾对德里空气污染的贡献,我们在区域空气质量预测系统中使用标记示踪剂来检测火灾排放中的CO和PM2.5排放。该模型框架表明,2021年10月至11月期间,烧胡茬火灾对德里空气污染的最大日平均贡献约为30-35%。我们发现,在清晨至下午的动荡时段(傍晚至清晨的平静时段),胡茬燃烧活动对德里空气质量的贡献最大(最小)。从作物残留和空气质量管理的角度来看,这种贡献的量化对于源头和受体区域的决策者至关重要,分别。