京津冀区域PM_(2.5)和O_(3)污染特征及协同控制分区

The spatiotemporal characteristics of PM_(2.5)and O_(3)in the Beijing-Tianjin-Hebei region and the health-based regional cooperative control strategy

为研究京津冀地区PM_(2.5)和O_(3)浓度和健康风险的时空变化特征及其协同控制分区,通过量化复合污染健康影响指数,以城市为节点、城市间复合污染的相似性为权重,构建了京津冀复合污染相关性网络;并基于Girvan-Newman社区发现算法,将京津冀划分为3个PM_(2.5)和O_(3)协同控制分区.结果显示,2017~2022年京津冀PM_(2.5)年均浓度降幅为42.19%,呈显著下降趋势,MDA8O_(3)年均浓度降幅为1.85%,呈波动趋势;PM_(2.5)严重的区域同时也是O_(3)恶化的区域,空间上呈现出“南高北低”的特征;以北京、天津为代表的东部人口密集城市PM_(2.5)和O_(3)暴露的健康风险较高,10月~次年3月为PM_(2.5)健康控制期,4~9月为PM_(2.5)和O_(3)协同健康控制期;京津冀划分为3个联防联控区,各分区内部复合污染特征具有更强的相似性.

In order to study the spatiotemporal characteristics of PM_(2.5)and O_(3)concentrations and health risks in the Beijing-Tianjin-Hebei region and their cooperative control regions,this study constructed a Beijing-Tianjin-Hebei composite pollution correlation network by quantifying the Composite Pollution Health Index,taking the cities as the nodes and the similarity of the composite pollution among the cities as the weights;and based on the Girvan-Newman community detection method,the Beijing-Tianjin-Hebei region was divided into three cooperative control regions for PM_(2.5)and O_(3).The average annual concentration of PM_(2.5)in Beijing-Tianjin-Hebei decreases by 42.19%from 2017 to 2022,with a significant downward trend,while the average annual concentration of MDA8O_(3)decreases by 1.85%,with a fluctuating trend;the areas with severe PM_(2.5)are also the areas with deteriorating O_(3),and spatially show the characteristics of"high in the south and low in the north";The eastern densely populated cities represented by Beijing and Tianjin have high health risks of PM_(2.5)and O_(3)exposure,with October-March as the health control period for PM_(2.5)and April-September as the collaborative health control period for PM_(2.5)and O_(3);Beijing-Tianjin-Hebei is divided into three cooperative control regions.The composite pollution characteristics of the three zones are more similar to each other.