【摘要】 面对高密度城市大气污染与公共健康风险并存的挑战，以天津市为例，耦合健康呼吸效应与绿地碳汇，针对空气污染的空间异质性，划分健康呼吸“优”“中”“差”三级区域，结合遥感技术与地理加权回归模型，解析不同分区绿地碳汇量的驱动机制。结果表明：（1）天津市空气质量指数空间分布呈现“内陆高于沿海、西南重于东北”的格局；（2）绿地碳储量在呼吸健康优区最高，差区最低；（3）绿地碳储量水平与人口和经济水平密切相关，且存在分区差异。更多还原

【Abstract】 Facing the challenge of coexistence of air pollution and public health risks in high-density cities, the paper takes Tianjin as an example to couple the healthy breathing effects with green space carbon sinks, and in view of the spatial heterogeneity of air pollution, divides three levels of healthy breathing areas – “excellent” “medium” and “poor”. Combined with the remote sensing technology and geographically weighted regression models, the paper analyzes the driving mechanism of green space carbon sinks in different areas. The results show that:(1) The spatial distribution of the air quality index in Tianjin presents a pattern of “higher in inland areas than in coastal areas and heavier in southwest areas than in northeast areas”;(2) The carbon storage of green spaces is the highest in the excellent area of respiratory health and the lowest in the poor area;(3) The level of green space carbon storage is closely related to population and economic levels, and there are regional differences.更多还原