Malik Arpit, Aggarwal Shankar G, Kunwar Bhagawati, Deshmukh Dhananjay Kumar, Shukla Kritika, Agarwal Rishu, Singh Khem, Soni Daya, Sinha Puna Ram, Ohata Sho, Mori Tatsuhiro, Koike Makoto, Kawamura Kimitaka, Kondo Yutaka
CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi - 110012, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad - 201002, India.
CSIR-National Physical Laboratory, Dr. KS Krishnan Marg, New Delhi - 110012, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad - 201002, India.
Sci Total Environ. 2023 Sep 20;892:164266. doi: 10.1016/j.scitotenv.2023.164266. Epub 2023 May 22.
Considering the significance of PM aerosol in assessing health impacts of air pollution, an extensive analysis of PM samples collected at an urban site in Delhi is presented in this study. Overall, PM contributed to about 50 % of PM mass which is alarming especially in Delhi where particle mass loadings are usually higher than prescribed limits. Major portion of PM consisted of organic matter (OM) that formed nearly 47 % of PM mass. Elemental carbon (EC) contributed to about 13 % of PM mass, whereas SO (16 %), NH (10 %), NO (4 %) and Cl (3 %) were the major inorganic ions present. Sampling was performed in two distinctive campaign periods (in terms of meteorological conditions and heating (fire) activities), during the year 2019, each spanning two-week time, i.e. (i) September 3-16 (clean days), and (ii) November 22-December 5 (polluted days). Additionally, PM and black carbon (BC) were measured simultaneously for subsequent analysis. The 24-h averaged mean concentrations of PM and BC during clean days (polluted days) were 70.6 ± 26.9 and 3.9 ± 1.0 μg m (196 ± 104 and 7.6 ± 4.1 μg m), respectively, which were systematically lower (higher) than that of the annual mean (taken from studies conducted at same site in 2019) of 142 and 5.7 μg m, respectively. Changes in characteristic ratios (i.e., organic carbon (OC)/elemental carbon (EC) and K/EC) of chemical species detected in PM show an increase in biomass emissions during polluted days. Increase in biomass emission can be attributed to increase in heating practices (burning of biofuels such as wood logs, straw, and cow-dung cake) in- and around- Delhi because of fall in temperature during second campaign. Furthermore, a significant increase in NO fraction of PM is observed during second campaign which shows fog processing of NO due to conducive meteorological conditions in winters. Also, comparatively stronger correlation of NO with K during second campaign (r = 0.98 as compared to r = 0.5 during first campaign) suggests the increased heating practices to be a contributing factor for increased fraction of NO in PM. We observed that during polluted days, meteorological parameters such as dispersion rate also played a major role in intensifying the impact of increased local emissions due to heating activities. Apart from this, change in the direction of regional emission transport to study site and the topology of Delhi are the possible reasons for the elevated pollution level, especially PM during winter in Delhi. This study also suggests that black carbon measurement techniques used in current study (optical absorbance with heated inlet and evolved carbon techniques) can be used as reference techniques to determine the site-specific calibration constant of optical photometers for urban aerosol.
考虑到细颗粒物(PM)气溶胶在评估空气污染对健康影响方面的重要性,本研究对在德里一个城市站点采集的PM样本进行了广泛分析。总体而言,细颗粒物(PM)占颗粒物质量的约50%,这一比例令人担忧,尤其是在德里,那里的颗粒物质量负荷通常高于规定限值。PM的主要部分由有机物(OM)组成,其占PM质量的近47%。元素碳(EC)占PM质量的约13%,而硫酸根(SO)(16%)、铵根(NH)(10%)、硝酸根(NO)(4%)和氯离子(Cl)(3%)是主要的无机离子。采样在2019年的两个不同活动期间(根据气象条件和供暖(火灾)活动)进行,每个期间为期两周,即(i)9月3日至16日(清洁日),以及(ii)11月22日至12月5日(污染日)。此外,同时测量了PM和黑碳(BC)以便后续分析。清洁日(污染日)期间PM和BC的24小时平均浓度分别为70.6±26.9和3.9±1.0μg/m³(196±104和7.6±4.1μg/m³),系统地低于(高于)年平均值(取自2019年在同一站点进行的研究),年平均值分别为142和5.7μg/m³。在PM中检测到的化学物种的特征比率(即有机碳(OC)/元素碳(EC)和钾(K)/EC)的变化表明污染日期间生物质排放增加。生物质排放增加可归因于德里及其周边地区供暖活动增加(燃烧诸如木柴、秸秆和牛粪饼等生物燃料),这是由于第二个活动期间气温下降所致。此外,在第二个活动期间观察到PM中硝酸根部分显著增加,这表明由于冬季有利的气象条件,硝酸根发生了雾处理。而且,第二个活动期间硝酸根与钾的相关性相对更强(r = 0.98,而第一个活动期间r = 0.5),这表明供暖活动增加是PM中硝酸根部分增加的一个促成因素。我们观察到在污染日期间,诸如扩散率等气象参数在加剧供暖活动导致的本地排放增加的影响方面也起了主要作用。除此之外,区域排放传输到研究站点的方向变化以及德里的地形是污染水平升高的可能原因,尤其是德里冬季的PM。本研究还表明,本研究中使用的黑碳测量技术(带加热入口的光吸收和逸出碳技术)可作为参考技术,用于确定城市气溶胶光学光度计的特定站点校准常数。