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Figure 3. Median diurnal concentrations of the aerosol chemical components.

Figure 3 Median diurnal concentrations of the aerosol chemical components.

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Table 1. Measurement dates and instrumentation. Winter (Win), pre-monsoon (PreM), monsoon (Mon) and post-monsoon (PostM). New Delhi (ND) and Old Delhi (OD) sites. ACSM (A), two HR-ToF-AMS instruments (H1 and H2), cToF-AMS (C). Eddy- covariance flux measurements tower (T). were lost due to a power cut; thus this special episode was removed from the NR-PM, analysis.
Table 1. Measurement dates and instrumentation. Winter (Win), pre-monsoon (PreM), monsoon (Mon) and post-monsoon (PostM). New Delhi (ND) and Old Delhi (OD) sites. ACSM (A), two HR-ToF-AMS instruments (H1 and H2), cToF-AMS (C). Eddy- covariance flux measurements tower (T). were lost due to a power cut; thus this special episode was removed from the NR-PM, analysis.
Figure 1. Box plots with (a) planetary boundary layer height (PBLH), (b) temperature, (c) relative humidity and (d) wind speed for the different seasons. The marker represents the mean.
Figure 1. Box plots with (a) planetary boundary layer height (PBLH), (b) temperature, (c) relative humidity and (d) wind speed for the different seasons. The marker represents the mean.
Figure 2. Average aerosol concentrations (a) and relative contribution to C-PM, (b).
Figure 2. Average aerosol concentrations (a) and relative contribution to C-PM, (b).
Figure 4. Mass spectra and diurnal plots of OA factors from PMF analysis in the different periods. Here the period all_OD_Hz2 is dis- played to compare with the other periods. The period all_OD_H2, which shows the high-resolution PMF analysis performed with the complete dataset of the AMS instruments (H2) 26 May—23 November 2018, is analysed in detail by Cash et al. (2021). Detailed analysis of the all_OD_H2 dataset is presented in Table S4, where the PMF analysis identified seven factors, adding HOA =HOA+nHOA and BBOA = SFOA + SVBBOA to compare with our five-factor solutions.
Figure 4. Mass spectra and diurnal plots of OA factors from PMF analysis in the different periods. Here the period all_OD_Hz2 is dis- played to compare with the other periods. The period all_OD_H2, which shows the high-resolution PMF analysis performed with the complete dataset of the AMS instruments (H2) 26 May—23 November 2018, is analysed in detail by Cash et al. (2021). Detailed analysis of the all_OD_H2 dataset is presented in Table S4, where the PMF analysis identified seven factors, adding HOA =HOA+nHOA and BBOA = SFOA + SVBBOA to compare with our five-factor solutions.
Figure 5. Diurnal median values of meteorological parameters, Cl and oPOA concentrations in Winter_ND.
Figure 5. Diurnal median values of meteorological parameters, Cl and oPOA concentrations in Winter_ND.
E. Reyes- Villegas et al.: PM; composition and source apportionment at two sites in Delhi Figure 6. OA average concentrations (a) and relative contribu- tion (b). The whiskers represent the standard deviation of the POA / OOA contribution after running PMF with different F peak values between —1 to 1 with steps of 0.2 to prove the stability of the separation.
E. Reyes- Villegas et al.: PM; composition and source apportionment at two sites in Delhi Figure 6. OA average concentrations (a) and relative contribu- tion (b). The whiskers represent the standard deviation of the POA / OOA contribution after running PMF with different F peak values between —1 to 1 with steps of 0.2 to prove the stability of the separation.
Figure 7. Average absorption coefficients for fossil fuel (Dabs _950ff) and biomass burning (Dabs_470bb)- The whiskers represent -£ | stan- dard deviation.
Figure 7. Average absorption coefficients for fossil fuel (Dabs _950ff) and biomass burning (Dabs_470bb)- The whiskers represent -£ | stan- dard deviation.
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