Wintertime oxidative potential of PM2.5 over a big urban city in the central Indo-Gangetic Plain

被引:5
|
作者
Singh, Atinderpal [1 ,2 ]
Patel, Anil [1 ,4 ]
Satish, R. [1 ,5 ]
Tripathi, S. N. [3 ]
Rastogi, Neeraj [1 ]
机构
[1] Phys Res Lab, Geosci Div, Ahmadabad 380009, India
[2] Univ Delhi, Dept Environm Studies, Delhi 110007, India
[3] Indian Inst Technol, Dept Civil Engn, Kanpur 208016, Uttar Pradesh, India
[4] Stockholm Univ, Dept Environm Sci, SE-10691 Stockholm, Sweden
[5] Cent State Univ, Coll Engn Sci Technol & Agr, Wilberforce, OH USA
关键词
Reactive oxygen species; Dithiothreitol; Source apportionment; Secondary aerosols; Resuspended fine dust; Human health; POSITIVE MATRIX FACTORIZATION; ORGANIC AEROSOL FORMATION; FINE PARTICULATE MATTER; AIR-POLLUTION; CHEMICAL CHARACTERISTICS; SOURCE APPORTIONMENT; GLOBAL BURDEN; VARIABILITY; PARTICLES; PMF;
D O I
10.1016/j.scitotenv.2023.167155
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Indo-Gangetic Plain (IGP) experiences a heavy load of particulate pollution impacting the 9 % of the global population living in this region. The present study examines the dithiothreitol (DTT) assay-based oxidative potential (OP) of PM2.5 and the major sources responsible for the observed OP over the central IGP (Kanpur) during winter. The volume normalized OP (OPV) of PM2.5 varied from 2.7 to 10 nmol DTT min(-1) m(-3) (5.5 +/- 1.5) and mass normalized OP (OPM) of PM2.5 varied from 19 to 58 pmol DTT min(-1) mu g(-1) (34 +/- 8.0), respectively. Major sources of PM2.5 were identified using the positive matrix factorization (PMF) and the contribution of these sources to observed OP was estimated through multivariate linear regression of OPv with PMF-resolved factors. Although the PM2.5 mass was dominated by secondary aerosols (SA, 28 %), followed by crustal dust (CD, 24 %), resuspended fine dust (RFD, 14 %), traffic emissions (TE, 8 %), industrial emissions (IE, 17 %), and trash burning (TB, 9 %), their proportionate contribution to OP (except SA) was different likely due to differences in redox properties of chemical species coming from these sources. The SA showed the highest contribution (23 %) to observed OP, followed by RFD (19 %), IE (8 %), TE & TB (5 %), CD (4 %), and others (36 %). Our results highlight the significance of determining the chemical composition of particulates along with their mass concentrations for a better understanding of the relationship between PM and health impacts. Such studies are still lacking in the literature, and these results have direct implications for making better mitigation strategies for healthier air quality.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Spatiotemporal variability and health risk assessment of PM2.5 and NO2 over the Indo-Gangetic Plain: A three years long study (2019-21)
    Vikas Goel
    Ajit Kumar
    Srishti Jain
    Vikram Singh
    Mayank Kumar
    [J]. Environmental Monitoring and Assessment, 2023, 195
  • [32] Spatiotemporal variability and health risk assessment of PM2.5 and NO2 over the Indo-Gangetic Plain: A three years long study (2019-21)
    Goel, Vikas
    Kumar, Ajit
    Jain, Srishti
    Singh, Vikram
    Kumar, Mayank
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (08)
  • [33] Correction to: Assessment of PM10(10 s/b subscript) and PM2.5(2.5 s/b subscript) over Ghaziabad, an industrial city in the Indo-Gangetic Plain: spatio-temporal variability and associated health effects
    Lovleen Gupta
    Rishabh Dev
    Kumail Zaidi
    Ramya Sunder Raman
    Gazala Habib
    Bipasha Ghosh
    [J]. Environmental Monitoring and Assessment, 2022, 194
  • [34] The composition and sources of water soluble ions in PM10 at an urban site in the Indo-Gangetic Plain
    Alvi, Muhammad Usman
    Kistler, Magdalena
    Mahmud, Tariq
    Shahid, Imran
    Alam, Khan
    Chishtie, Farrukh
    Hussain, Riaz
    Kasper-Giebl, Anne
    [J]. JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS, 2019, 196
  • [35] Association of aerosols, trace gases and black carbon with mortality in an urban pollution hotspot over central Indo-Gangetic Plain
    Singh, Nidhi
    Mhawish, Alaa
    Banerjee, Tirthankar
    Ghosh, Santu
    Singh, R. S.
    Mall, R. K.
    [J]. ATMOSPHERIC ENVIRONMENT, 2021, 246
  • [36] Unveiling the elemental composition, sources and health impacts of PM10 over the central Indo-Gangetic plain (IGP) of India
    Tiwari, Preeti
    Mehrotra, Bharat Ji
    Gupta, Sakshi
    Srivastava, Manoj K.
    Kumar, Manoj
    Vijayan, Narayanasamy
    Choudhary, Arti
    Sharma, Sudhir Kumar
    [J]. Physics and Chemistry of the Earth, 2024, 136
  • [37] Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India
    Das, Manob
    Das, Arijit
    Sarkar, Raju
    Saha, Sunil
    Mandal, Ashis
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2021, 35 (06) : 1301 - 1317
  • [38] Spatio-temporal concentration of atmospheric particulate matter (PM2.5) during pandemic: A study on most polluted cities of indo-gangetic plain
    Das, Manob
    Das, Arijit
    Ghosh, Sasanka
    Sarkar, Raju
    Saha, Sunil
    [J]. URBAN CLIMATE, 2021, 35
  • [39] Source apportionment and health risk assessment of airborne particulates over central Indo-Gangetic Plain
    Murari, Vishnu
    Singh, Nandita
    Ranjan, Rohit
    Singh, R. S.
    Banerjee, Tirthankar
    [J]. CHEMOSPHERE, 2020, 257
  • [40] Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India
    Manob Das
    Arijit Das
    Raju Sarkar
    Sunil Saha
    Ashis Mandal
    [J]. Stochastic Environmental Research and Risk Assessment, 2021, 35 : 1301 - 1317