Effect of global atmospheric aerosol emission change on PM_2.5-related health impacts

Figures & data

Figure 1. Schematic diagram of the change in the emissions from the model simulation toward health impact assessment.

Figure 2. Conceptual health prioritization scheme using the order of the health impact.

Figure 3. Global reference PM_2.5 concentration in 2010.

Table 1. Top 20 countries based on the decreasing interquartile range of gridded reference PM_2.5 mean (in 2010).

Country	Minimum (µg/m^3)	Maximum (µg/m^3)	Mean (µg/m^3)	Median (µg/m^3)	IQR (µg/m^3)
China	0.39	376.84	30.88	23.07	35.24
Pakistan	1.82	112.99	23.97	19.31	16.92
Kuwait	15.39	31.28	22.36	18.87	14.06
Chad	6.87	53.58	19.04	16.55	13.62
Niger	8.00	38.76	18.34	17.4	13.61
Bolivia	0.74	50.4	11.45	12.37	13.14
India	0.61	71.24	24.19	25.39	11.40
Nepal	1.22	43.21	10.84	8.45	11.02
Peru	0.67	211.85	15.25	8.24	10.94
Mongolia	1.10	35.53	9.04	5.35	9.82
Saudi Arabia	7.07	153.27	17.8	12.64	9.70
Myanmar	0.77	26.52	14.74	16.66	9.53
Brazil	1.76	29.59	9.58	8	9.29
Bangladesh	12.11	28.27	20.53	21.39	8.71
Iraq	5.70	72.08	12.4	9.23	8.28
Nigeria	17.72	46.78	27.87	27.47	7.84
Angola	7.06	26.83	14.2	13.19	7.83
The Democratic Republic of Congo	6.00	30.51	17.39	17.86	7.55
Islamic Republic of Iran	4.04	79.49	13.14	7.9	7.55
Malaysia	3.94	26.27	9.04	6.3	7.21

IQR = interquartile range.

Figure 4. Country income-specific changes in the AM (left panel) and YLL (right panel) per change in BC (upper), OC (middle), and SO₂ (lower) emission.

Dark-colored bars for LMIC indicate the contribution of China and India.

Figure 5. Proportion of reduction to 0% BC, OC, and SO₂ benefits per health indicator (left) and schematic scoring (right).