基于EMI 观测华北平原对流层NO2 的时空变化研究

利用中国科学技术大学开发的 GF-5/EMI 对流层 NO2 柱总量产品, 结合排放清单和地面降水、气温数据, 研究了 2019 年 1–8 月华北平原对流层 NO2 的时空变化趋势。结果表明, NO2 污染集中在河南省、河北省和天津市, 河南省焦作市 (1.670×1016 molecules·cm−2) 和河北省石家庄市 (1.426×1016 molecules·cm−2) 尤为严重; 周变化总体呈现“反周末效应”, 但部分农业城市趋势相反; 月变化从 1 月 (1.635×1016 molecules·cm−2) 起持续下降, 8 月降至最低水平(1.839×1015 molecules·cm−2), 与月降水、月气温的相关系数分别为 −0.8622 (p = 0.0059 < 0.01) 和 −0.9162 (p = 0.0014< 0.01), 与人为生活源月排放的相关系数为 0.9778 (p = 2.69×10−5 < 0.01); 以天津市为代表的华北平原工业城市污染严重, 在未来大气污染治理中需继续关注。

Analysis of Spatio-Temporal Variations of Tropospheric Nitrogen Dioxide in the North China Plain Based on EMI

Using GF-5/EMI tropospheric NO2 columns product developed by University of Science and Technology of China, combined with the emission inventory, surface precipitation and temperature data, the spatio-temporalvariations of tropospheric NO2 that is in the North China Plain (NCP) from January to August 2019 are studied.The results show that NO2 pollution is concentrated in Henan, Hebei and Tianjin, especially in Jiaozuo, Henan(1.670×1016 molecules·cm−2) and Shijiazhuang, Hebei (1.426×1016 molecules·cm−2). The weekly changes generally show “reverse-weekend effect”, but the trend in some agricultural cities is opposite. The monthly change decreasescontinuously from January (1.635×1016 molecules·cm−2) to the lowest level in August (1.839×1015 molecules·cm−2).The correlation coefficient with monthly precipitation and temperature are −0.8622 (p = 0.0059 < 0.01) and −0.9162(p = 0.0014 < 0.01), respectively, and with anthropogenic monthly emissions is 0.9778 (p = 2.69×10−5 < 0.01).The industrial cities in NCP, represented by Tianjin, are seriously polluted, which need to be paid more attention toon the prevention and control of air pollution in the future.