基于DOAS地空观测的典型热带地区臭氧敏感性研究

为实现中国节能减排与产业经济协调发展的目标，本研究选取中国碳排放重要来源之一的能源密集型产业，采用空间全局自相关，标准差椭圆，空间局部自相关以及空间杜宾模型等方法对2007—2016年中国30个省域能源密集型产业格局、碳排放强度时空演变特征进行了分析，在空间溢出视角下对能源密集型产业结构演变的碳排放效应进行了探讨.结果表明：①空间自相关Moran''s I检验表明碳排放强度与能源密集型产业集聚均存在显著的空间正相关.②标准差椭圆表明，能源密集型产业有重心迁移的现象，但迁移效果不明显.③空间杜宾结果显示，能源密集型产业集聚与碳排放强度呈现"N"型曲线关系，能源密集型产业的集聚对碳排放强度的影响存在明显的空间溢出效应，人口数量和外商投资会显著抑制碳排放强度.

Study on ozone sensitivity in typical tropical region from DOAS ground-to-space measurements

The three-dimensional distributions of formaldehyde (HCHO), nitrogen dioxide (NO₂) and ozone (O₃) in Xishuangbanna, a typical tropical region of China, are observed using the passive Zenith-sky DOAS and active long-pathlength DOAS (LP-DOAS). The ozone sensitivity to VOCs and NO_x in Xishuangbanna is investigated using the HCHO/NO₂ ratios. Among 353 HCHO/NO₂ hourly mean ratios observed by the active LP-DOAS, 118 HCHO/NO₂ ratios are less than 1, accounting for 33.4% of the total sample; 89 HCHO/NO₂ ratios are between 1 and 2, accounting for 25.2%; 146 HCHO/NO₂ ratios are more than 2, accounting for 41.4%. This indicates that the O₃ concentration in Xishuangbanna is primarily affected by NO_x and the affection mainly takes place daily between 10am and 8pm. The column HCHO/NO₂ ratios observed by the passive Zenith-sky DOAS validate the HCHO/NO₂ ratios from OMI/NASA in Xishuagnbanna. The correlation coefficients of 48 valid samples is 0.72. These samples share very similar variations. The temporal and spatial variations of ozone sensitivity in Xishuangbanna during 2006-2016, revealed by the HCHO/NO₂ ratios from OMI/NASA, show that the ozone in Xishuangbanna are only NO_x-affected in all four seasons and all the years during 2006-2016, and high ratios are concentrated in Menghai and Mengla County. The differences and uncertainties of different ground and air observations are also discussed.