Literature DB >> 32738681

Chemical characterization of PM2.5 and source apportionment of organic aerosol in New Delhi, India.

Anna Tobler1, Deepika Bhattu1, Francesco Canonaco1, Vipul Lalchandani2, Ashutosh Shukla2, Navaneeth M Thamban2, Suneeti Mishra2, Atul K Srivastava3, Deewan S Bisht3, Suresh Tiwari3, Surender Singh4, Griša Močnik5, Urs Baltensperger1, Sachchida N Tripathi6, Jay G Slowik1, André S H Prévôt7.   

Abstract

Delhi is one of the most polluted cities worldwide and a comprehensive understanding and deeper insight into the air pollution and its sources is of high importance. We report 5 months of highly time-resolved measurements of non-refractory PM2.5 and black carbon (BC). Additionally, source apportionment based on positive matrix factorization (PMF) of the organic aerosol (OA) fraction is presented. The highest pollution levels are observed during winter in December/January. During that time, also uniquely high chloride concentrations are measured, which are sometimes even the most dominant NR-species in the morning hours. With increasing temperature, the total PM2.5 concentration decreases steadily, whereas the chloride concentrations decrease sharply. The concentrations measured in May are roughly 6 times lower than in December/January. PMF analysis resolves two primary factors, namely hydrocarbon-like (traffic-related) OA (HOA) and solid fuel combustion OA (SFC-OA), and one or two secondary factors depending on the season. The uncertainties of the PMF analysis are assessed by combining the random a-value approach and the bootstrap resampling technique of the PMF input. The uncertainties for the resolved factors range from ±18% to ±19% for HOA, ±7% to ±19% for SFC-OA and ±6 % to ±11% for the OOAs. The average correlation of HOA with equivalent black carbon from traffic (eBCtr) is R2 = 0.40, while SFC-OA has a correlation of R2 = 0.78 with equivalent black carbon from solid fuel combustion (eBCsf). Anthracene (m/z 178) and pyrene (m/z 202) (PAHs) are mostly explained by SFC-OA and follow its diurnal trend (R2 = 0.98 and R2 = 0.97). The secondary oxygenated aerosols are dominant during daytime. The average contribution during the afternoon hours (1 pm-5 pm) is 59% to the total OA mass, with contributions up to 96% in May. In contrast, the primary sources are more important during nighttime: the mean nightly contribution (22 pm-3 am) to the total OA mass is 48%, with contributions up to 88% during some episodes in April.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  New Delhi; PM(2.5); PMF; Source apportionment

Year:  2020        PMID: 32738681     DOI: 10.1016/j.scitotenv.2020.140924

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Human health risk assessment of PM2.5-bound heavy metal of anthropogenic sources in the Khon Kaen Province of Northeast Thailand.

Authors:  Pornpun Sakunkoo; Theerachai Thonglua; Sarawut Sangkham; Chananya Jirapornkul; Yuparat Limmongkon; Sakda Daduang; Thanee Tessiri; Jetnapis Rayubkul; Sakesun Thongtip; Naowarat Maneenin; Sittichai Pimonsree
Journal:  Heliyon       Date:  2022-06-07

2.  Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases.

Authors:  Atul K Srivastava; Priyanka D Bhoyar; Vijay P Kanawade; Panuganti C S Devara; Abin Thomas; Vijay K Soni
Journal:  Urban Clim       Date:  2021-02-02

3.  Ammonium Chloride Associated Aerosol Liquid Water Enhances Haze in Delhi, India.

Authors:  Ying Chen; Yu Wang; Athanasios Nenes; Oliver Wild; Shaojie Song; Dawei Hu; Dantong Liu; Jianjun He; Lea Hildebrandt Ruiz; Joshua S Apte; Sachin S Gunthe; Pengfei Liu
Journal:  Environ Sci Technol       Date:  2022-04-28       Impact factor: 11.357

4.  Assessing temporal correlation in environmental risk factors to design efficient area-specific COVID-19 regulations: Delhi based case study.

Authors:  Vishal Chaudhary; Pradeep Bhadola; Ajeet Kaushik; Mohammad Khalid; Hidemitsu Furukawa; Ajit Khosla
Journal:  Sci Rep       Date:  2022-07-28       Impact factor: 4.996

  4 in total

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