Source apportionment of size-segregated atmospheric particles and the inuence of particles deposition in the human respiratory tract in rural and urban locations of north-east India Rajyalakshmi Garaga a, * , Sharad Gokhale a , Sri Harsha Kota b a Department of Civil Engineering, Indian Institute of Technology Guwahati, India b Department of Civil Engineering, Indian Institute of Technology Delhi, India highlights graphical abstract One-year size resolved PM samples were collected in ve locations in Assam, India. Samples were analysed in terms of deposition in human respiratory tract. PMF revealed ve to eight factors at each individual site in NOPL, TB and P regions. Dust emissions was predominant source in individual masses of PM. While size resolved PM revealed vehicular emissions being dominant in ne scale. article info Article history: Received 2 March 2020 Received in revised form 29 April 2020 Accepted 3 May 2020 Available online 5 May 2020 Handling Editor: Xinlei Ge Keywords: Size-segregated aerosols Cascade impactor Source apportionment Particle deposition Human respiratory tract abstract Aerosol samples were collected using eight stage non-viable Andersen cascade impactor at three urban and two rural sites in north-east India during 2018 covering three seasons i.e., winter, summer and monsoon. The size-segregated samples collected in the selected locations were carefully analysed in terms of deposition in human respiratory tract using inhalation and deposition curves. Seasonal variation of fractional deposition of particulate matter (PM) in human respiratory tract was observed. For example, during winter, in one of the urban sites i.e., S3 (0.61) the maximum deposition was in Pulmonary (P) region, while in the case of other sites, the maximum deposition was in Nasopharyngeal (NOPL) region. Regional deposition in P was high in S1 and S3 when compared with other sites. Vehicular emissions was dominant in both S1 and S3 in P, while biomass burning being dominant in S3 which could be the reason for maximum deposition in P. Positive matrix factorization (PMF) revealed ve to eight factors at each individual site in NOPL, tracheobronchial (TB) and P regions: biomass burning (accounting for 7e32% of PM), coal combustion (14e27%), construction dust (9e25%), dust emissions (17e28%), industrial emis- sions (12e26%), oil renery (18%), secondary aerosols (17e33%) and vehicular emissions (12e39%). Dominant sources in urban and rural areas were vehicular emissions and dust emissions, respectively. Therefore, the present study highlights the importance of analyzing source apportionment of PM at ultrane scale and forms a basis upon which the future air quality studies and mitigation strategies can be formulated in this region. © 2020 Elsevier Ltd. All rights reserved. * Corresponding author. E-mail addresses: garaga@iitg.ac.in (R. Garaga), sharadbg@iitg.ac.in (S. Gokhale), harshakota@iitd.ac.in (S.H. Kota). Contents lists available at ScienceDirect Chemosphere journal homepage: www.elsevier.com/locate/chemosphere https://doi.org/10.1016/j.chemosphere.2020.126980 0045-6535/© 2020 Elsevier Ltd. All rights reserved. Chemosphere 255 (2020) 126980