Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality

Figures & data

Table 1. Descriptive statistics on daily mortality and weather conditions in Fuzhou, China, 2016–2021.

	Variables	Mean±SD	Min	Max
Daily mortality	Total non-accidental deaths (n)	32 ± 8	12	73
Weather conditions	Daily average temperature (°C)	21.60 ± 6.89	2.60	33.40
	Daily maximum temperature (°C)	26.02 ± 7.55	6.8	40.50
	Daily average relative humidity (%)	72.86 ± 11.89	33.00	100.00
	Daily average barometric pressure (hPa)	1008.40 ± 8.28	983.20	1034.00
Environmental conditions	PM2.5 (μg/m^3)	23.06 ± 12.00	2.50	83.38
	PM10 (μg/m^3)	44.12 ± 20.60	5.25	167.57
	NO2 (μg/m^3)	23.36 ± 10.50	3.57	79.57
	O3–8 h (μg/m^3)	88.54 ± 32.06	16.71	208.43
	Ox (μg/m^3)	66.36 ± 21.00	20.75	147.38
	SO2 (μg/m^3)	5.13 ± 1.60	2.14	18.57
	CO (mg/m^3)	0.65 ± 0.14	0.32	1.73

Figure 1. The impact of oxidising pollutants on the health of the population. (a) Exposure-response curves for O₃, NO₂ and O_x on the main causes of mortality in the population. (b) Impact of each 10 μg/m³ increase in O₃, NO₂ and O_x on the risk of excess mortality in the population (ER values and 95% CI).

Figure 2. The impact of temperature on the health of the population. (a) 3D maps of the effect of temperature on residential mortality. (b) Contour maps of the effect of temperature on residential mortality. (c) Cross-sectional plot of the impact of heat waves on residential mortality (RR values and 95% CI).

Figure 3. Response to the effects of oxidising pollutants and temperature in major mortality. (a): O₃, (b): O_x, (c): NO₂.

Figure 4. The impact of oxidising pollutants and heat waves on the health of the population. (a) and (b) are excess risk lag distribution of each 10 μg/m³ increase in O₃, O_x and NO₂ on the excess risk of mortality during heat wave and non-heatwave days, respectively (ER values and 95% CI).

Data availability statement

Due to the nature of the research, due to ethical supporting data is not available.