Literature DB >> 33167294

Real-time measurement and source apportionment of elements in Delhi's atmosphere.

Pragati Rai1, Markus Furger2, Imad El Haddad1, Varun Kumar1, Liwei Wang1, Atinderpal Singh3, Kuldeep Dixit4, Deepika Bhattu1, Jean-Eudes Petit5, Dilip Ganguly6, Neeraj Rastogi3, Urs Baltensperger1, Sachchida Nand Tripathi7, Jay G Slowik1, André S H Prévôt8.   

Abstract

Delhi, the capital of India, suffers from heavy local emissions as well as regional transport of air pollutants, resulting in severe aerosol loadings. To determine the sources of these pollutants, we have quantified the mass concentrations of 26 elements in airborne particles, measured by an online X-ray fluorescence spectrometer with time resolution between 30 min and 1 h. Measurements of PM10 and PM2.5 (particulate matter <10 μm and < 2.5 μm) were conducted during two consecutive winters (2018 and 2019) in Delhi. On average, 26 elements from Al to Pb made up ~25% and ~19% of the total PM10 mass (271 μg m-3 and 300 μg m-3) in 2018 and 2019, respectively. Nine different aerosol sources were identified during both winters using positive matrix factorization (PMF), including dust, non-exhaust, an S-rich factor, two solid fuel combustion (SFC) factors and four industrial/combustion factors related to plume events (Cr-Ni-Mn, Cu-Cd-Pb, Pb-Sn-Se and Cl-Br-Se). All factors were resolved in both size ranges (but varying relative concentrations), comprising the following contributions to the elemental PM10 mass (in % average for 2018 and 2019): Cl-Br-Se (41.5%, 36.9%), dust (27.6%, 28.7%), non-exhaust (16.2%, 13.7%), S-rich (6.9%, 9.2%), SFC1 + SFC2 (4%, 7%), Pb-Sn-Se (2.3%, 1.66%), Cu-Cd-Pb (0.67%, 2.2%) and Cr-Ni-Mn (0.57%, 0.47%). Most of these sources had the highest relative contributions during late night (22:00 local time (LT)) and early morning hours (between 03:00 to 08:00 LT), which is consistent with enhanced emissions into a shallow boundary layer. Modelling of airmass source geography revealed that the Pb-Sn-Se, Cl-Br-Se and SFC2 factors prevailed for northwest winds (Pakistan, Punjab, Haryana and Delhi), while the Cu-Cd-Pb and S-rich factors originated from east (Nepal and Uttar Pradesh) and the Cr-Ni-Mn factor from northeast (Uttar Pradesh). In contrast, SFC1, dust and non-exhaust were not associated with any specific wind direction.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Industries; Local and regional source locations; Non-exhaust; Source apportionment; Toxic metals; Urban air pollution

Year:  2020        PMID: 33167294     DOI: 10.1016/j.scitotenv.2020.140332

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


  2 in total

1.  New Insight into the Measurements of Particle-Bound Metals in the Urban and Remote Atmospheres of the Sarajevo Canton and Modeled Impacts of Particulate Air Pollution in Bosnia and Herzegovina.

Authors:  Sabina Žero; Silva Žužul; Jasna Huremović; Gordana Pehnec; Ivan Bešlić; Jasmina Rinkovec; Ranka Godec; Noah Kittner; Karla Pavlović; Nino Požar; Juan J Castillo; Sergio Sanchez; Manousos I Manousakas; Markus Furger; Andre S H Prevot; Griša Močnik; Katja Džepina
Journal:  Environ Sci Technol       Date:  2022-03-02       Impact factor: 11.357

2.  An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India.

Authors:  Janhavi Singh; Swagata Payra; Manoj K Mishra; Sunita Verma
Journal:  Environ Monit Assess       Date:  2022-10-13       Impact factor: 3.307

  2 in total

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