Disease specific air quality health index (AQHI) for spatiotemporal health risk assessment of multi-air pollutants

环境卫生 空气污染 空气质量指数 污染物 风险评估 健康风险评估 公共卫生 医学 疾病 空气污染物 人口 健康风险 环境科学 地理 气象学 病理 生物 计算机科学 生态学 计算机安全
作者
Xun Deng,Bin Zou,Shenxin Li,Jian Wu,Chenjiao Yao,Minxue Shen,Jun Chen,Sha Li
出处
期刊:Environmental Research [Elsevier BV]
卷期号:231: 115943-115943 被引量:8
标识
DOI:10.1016/j.envres.2023.115943
摘要

While significant reductions in certain air pollutant concentrations did not induce obvious mitigations of health risks, a shift from air quality management to health risk prevention and control might be necessary to protect public health. This study thus constructed an Air Quality Health Index (AQHI) for respiratory (Res-AQHI), cardiovascular (Car-AQHI), and allergic (Aller-AQHI) risk groups using mixed exposure under multi-air pollutants and portrayed their distribution and variation at multiple spatiotemporal scales using spatial analysis in GIS with the medical big data and air pollution remote sensing data by taking Hunan Province in China as a case. Results showed that the AQHIs constructed for specific health-risk groups could better express their risks than common AQHI and AQI. Moreover, based on the spatiotemporal association of health and environmental information, the allergic risk group in Hunan provided the highest health risk mainly affected by O3. The following cardiovascular and respiratory risk groups can be significantly attributed to NO2. Moreover, the spatiotemporal heterogeneity of AQHIs within regions was also evident. On the annual scale, the population in the air health risk hotspots for respiratory and cardiovascular risk decreased, while allergic risks increased. Meanwhile, on seasonal scale, the hotspots for respiratory and cardiovascular risks expanded significantly in winter while completely disappearing for allergic risk. These findings suggest that disease specific AQHIs effectively disclose the health effects of multi-air pollutants and their subsequently varied spatiotemporal distribution patterns.
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