Quantifying the Impact of Haze and Normal Air Quality on Urban Environments: A Study of Diurnal Variation, Source Apportionment, and Correlation

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Dilip Kumar Mahato, Balram Ambade, Tushar Choudhary, Alaa M. Younis, Abdullah H. Alluhayb
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Abstract

Black carbon aerosols and PM2.5 have been identified as one of the major factors responsible for the ambient air quality index in Jamshedpur. The real-time measurement of BC concentration is determined with the help of an Aethalometer (AE-33), which was analyzed from November 2022 to April 2023. In the present study, we have compared the aerosol parameters during haze (Nov-Jan) and normal days (Oct, Feb-May) periods. We estimated the average mass concentration of BC, PM2.5 and AQI during haze days (HD) and normal days (ND), respectively. BC concentrations showed significant temporal variations with around 6.25 ± 3.05 and 2.52 ± 2.75 μg m − 3 during HD and ND, respectively. While PM2.5 and AQI concentrations in HD were found to be 264.64 ± 58.8 and 267.84 ± 56.72 μg m − 3, which were double of 130.19 ± 60.1 and 141.98 ± 52.44 μg m − 3, respectively, during ND. The highest monthly concentration of BC, PM2.5 and AQI was noticed in December at 8.35, 291.9 and 298 μg m − 3, respectively. Large-scale energy production in industries can consume coal and petroleum as primary fuels, which may be a major reason for the high concentrations. Due to low mixing height during winter, these emissions are not spread properly. Hence, higher concentration was found in December. The values for BC/PM2.5 were observed as 2.37% with a range from 0.54 to 4.4% and 2.48% (0.5 to 21.78%) during HD and ND, respectively. The study determined the source apportionment of BC with biomass dominance found in HD. The % BB was obtained around 53.1% throughout haze session, which was approximately 1.57 times higher than normal day (33.77%). In winter, burning wood and other solid fuels to warm the atmosphere may increase the contribution of BB to BC emissions. Furthermore, the backward trajectories calculated that air masses were concentrated within the IGP regions at lower altitudes during the HD while there was a diverse circulation of air parcels throughout the ND. Air masses were majorly coming to the receptor site from west India in ND. GIOVANNI NASA satellite model proved that surface mass concentrations of BC and PM2.5 were observed higher over IGP areas as well as other parts of India during HD with respect to ND.

Graphical Abstract

量化灰霾和正常空气质量对城市环境的影响:昼夜变化、来源分配和相关性研究
黑碳气溶胶和 PM2.5 已被确定为造成贾姆谢德布尔环境空气质量指数的主要因素之一。在 Aethalometer(AE-33)的帮助下,我们对 2022 年 11 月至 2023 年 4 月的 BC 浓度进行了实时测量分析。在本研究中,我们比较了雾霾(11 月至 1 月)和正常天(10 月、2 月至 5 月)期间的气溶胶参数。我们分别估算了灰霾天和正常天的 BC、PM2.5 和空气质量指数的平均质量浓度。在灰霾天和正常天,BC 浓度显示出明显的时间变化,分别约为 6.25 ± 3.05 和 2.52 ± 2.75 μg m - 3。而 HD 的 PM2.5 和 AQI 浓度分别为 264.64 ± 58.8 和 267.84 ± 56.72 μg m - 3,是 ND 的 130.19 ± 60.1 和 141.98 ± 52.44 μg m - 3 的两倍。12 月的 BC、PM2.5 和空气质量指数月浓度最高,分别为 8.35、291.9 和 298 μg m - 3。大规模的工业能源生产会消耗煤炭和石油作为主要燃料,这可能是造成高浓度的主要原因。由于冬季混合高度较低,这些排放物无法正常扩散。因此,12 月份的浓度较高。在 HD 和 ND 期间,BC/PM2.5 的值分别为 2.37%(0.54%-4.4%)和 2.48%(0.5%-21.78%)。研究确定了生物量占主导地位的高密度沼气中 BC 的来源分配。在整个雾霾时段,BB 的比例约为 53.1%,比正常时段(33.77%)高出约 1.57 倍。在冬季,燃烧木材和其他固体燃料来温暖大气可能会增加 BB 对 BC 排放的贡献。此外,后向轨迹计算表明,在高密度地区,气团集中在低海拔的IGP区域,而整个北大西洋的气团则呈多样化环流。在 ND 中,气团主要来自印度西部的受体点。美国国家航空航天局的 GIOVANNI 卫星模型证明,与 ND 相比,HD 期间在 IGP 地区和印度其他地区观测到的 BC 和 PM2.5 的地表质量浓度更高。
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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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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