深圳市空气污染物与人群死亡时空关联性研究

Urban air pollution and its potential impact on human health are increasingly caused widespread concern around the world in recent years. Most study related to air pollutants were focused on the diameter, change trend and pollution sources, or discuss influence of air pollutants on human health from epidemiology or toxicology perspectives. Combined regional geographic information, and from perspectives on the spatio-temporal coupling relation analysis, results from studies on air pollution and human health would be more reliable. This study takes Shen as research area, which is an important city of Pearl River Delta region. Based on the results from 3 years ( from 1st Jan 2013 to 31st Dec 2015) continuous air pollutants monitoring (SO2, NO2, PM10, CO, O3 and PM2.5) and mortality surveillance (all-cause mortality, cardiovascular disease mortality, and respiratory disease mortality), analysis from perspective on spatio-temporal distribution and coupling relation will be conducted. The main object of this study is to analysis the spatio-temporal characteristic of main air pollutants and residents mortality; and to investigate the relationship between air pollutants exposure-human health. Then will give the corresponding countermeasures and suggestions.

近年来城市空气污染及其对人体健康的潜在影响正日益引起世界各国的普遍关注。目前国内对空气污染物的报道主要集中在颗粒物的粒径分布、变化规律及来源等方面，或者从流行病学、毒理学角度探讨空气污染物对人体健康的影响。结合区域地理信息，从时空耦合关联的视角开展空气污染物与人群健康研究，可加强结论的可靠性。本项目选择“珠三角”地区的重要城市—深圳市为研究区域，开展连续3年（2013年-2015年）的空气污染物（SO2、NO2、PM10、CO、O3和PM2.5）和人群死因监测（全因死亡、心脑血管疾病死亡和呼吸系统疾病死亡等），从时空分布特征和时空耦合规律的视角开展相关分析，揭示深圳市主要空气污染物的时间变化和空间分布规律，探讨人群死亡的时空分布特征，深入研究主要空气污染物暴露的人群健康风险，并提出相应的对策与建议。

近年来城市空气污染及其对人体健康的潜在影响正日益引起世界各国的普遍关注。目前国内对空气污染物的报道主要集中在颗粒物的粒径分布、变化规律及来源等方面，或者从流行病学、毒理学角度探讨空气污染物对人体健康的影响。结合区域地理信息，从时空耦合关联的视角开展空气污染物与人群健康研究，可加强结论的可靠性。.本项目以深圳为研究区，综合分析不同死因死亡人群的流行病学与时空分布特征，总结了空气污染物的时间变化规律与空间分布特征，开展了人群死亡与空气污染物、气象要素等致病风险因素的耦合关联研究。结果表明，空气污染物的浓度具有显著的时空分布特征，人群死亡具有明显的聚集规律，空气污染可以对人群死亡造成影响。