Sofia Eirini Chatoutsidou 1,2, Norbert Serfozo2, Thodoros Glytsos2 and Mihalis Lazaridis2*

Multi-zone measurement of particle concentrations in a HVAC building with massive printer emissions: influence of human occupation and particle transport indoors

1Norwegian Institute for Air Research (NILU), Instituttveien 18, 2007 Kjeller, Norway 2School of Environmental Engineering, Technical University of Crete, Polytechneioupolis, 73100 Chania, Greece

Fig. 1S Particle number size distribution (dN/dlogDp) of peak concentration in PR during cleaning of the corridor

Fig. 2S Indoor particle number concentration in PR and outdoor particle number concentration as measured for 48 h on 10-11/10/2015. The office was closed and no activity took place during the measurement

Table 1S Averaged total removal rate and suspended PN<0.1 concentration originating from other areas estimated for each workday

18/05 19/05 20/05 21/05 22/05 25/05

(h-1) 9.98 7.26 12.84 10.29 8.08 7.21

(cm-3) 3,751 2,536 1,936 3,478 4,769 3,296

Table 2S Parameters of linear regression between emission rates (S) and indoor PN <0.1 concentration for PR N (·10-8) R2 p-value 18/05 45 9.0 3,804 0.91 <0.05 19/05 46 9.8 2,764 0.82 <0.05 20/05 43 6.4 2,010 0.87 <0.05 21/05 51 6.1 4,084 0.95 <0.05 22/05 42 9.1 4,879 0.87 <0.05 25/05 14 10.2 3,368 0.81 <0.05 average 8.4 3,485 st. deviation 1.8 1,011 Table 3S Parameters of linear regression for mass concentration data for offices A1 and B2 N R2 p-value A1 PR 723 0.86 1.12 0.74 <0.05 outdoor 726 0.99 2.88 0.47 <0.05 B2 PR 411 1.20 3.31 0.69 <0.05 outdoor 415 1.04 9.04 0.36 <0.05

Table 4S Parameters of linear regression for number concentration between PR and A1, B1, B2 respectively N R2 p-value A1 351 0.54 350 0.63 <0.05 B1 450 0.21 1976 0.19 <0.05 B2 344 0.44 664 0.61 <0.05