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. Author manuscript; available in PMC: 2020 Nov 16.
Published in final edited form as: Atmos Chem Phys. 2018 Jul 23;18(14):10497–10520. doi: 10.5194/acp-18-10497-2018

Table 7.

Comparison of O3 and PM2.5-related premature deaths attributable to PIN, TRN and RES emissions with previous studies. Results from this study (for 20% reductions) are multiplied by 5. For Silva et al. (2016), we combine results for “Energy” and “Industry” to represent PIN, and use “Land transportation” to represent TRN and “Residential & Commercial” to represent RES. For Lelieveld et al. (2015), we combine the “Power generation” and “Industry” sectors to represent PIN, and use “Land Traffic” to represent TRN, and “Residential Energy” to represent RES.

Emission source sector This study Silva et al. (2016) Lelieveld et al. (2015)
PIN O3: 96,500 (7,000, 225,000)
PM2.5: 640,000 (208,000, 895,000)		 O3 : 111,000 (23,200, 240,000)
PM2.5: 613,000 (422,000, 816,000)		 O3 + PM2.5
(692,000)
TRN O3: 94,000 (15,000, 208,000)
PM2.5: 160,000 (−82,500, 292,000)		 O3: 80,900 (17,400, 180,000)
PM2.5: 212,000 (114,000, 292,000)		 O3 + PM2.5
(165,000)
RES O3: 52,000 (13,500, 106,000)
PM2.5: 417,000 (209,000, 600,000)		 O3: 53,700(12,300, 116,000)
PM2.5: 675,000 (428,000, 899,000)		 O3 + PM2.5
(1,020,000)