Li Jin-Chao, Cao Chun, Fang Feng, Tang Qian-Hui, Liang Bin-Yue
Key Laboratory of Resource Environment and Sustainable Development of Oasis, Gansu Province, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.
Lanzhou Regional Climate Center, Lanzhou 730030, China.
Huan Jing Ke Xue. 2023 Sep 8;44(9):4785-4798. doi: 10.13227/j.hjkx.202209059.
Based on 2005-2020 O column concentration data of OMI remote sensing satellite, combined with air pollutant data from 10 nationally controlled environmental automatic monitoring stations in the Hexi Corridor and global data assimilation system meteorological data, we used Kriging interpolation, correlation analysis, and backward trajectory (HYSPLIT) models to explore the temporal and spatial distribution characteristics, meteorological factors, transmission paths, and potential sources of O in the Hexi Corridor. The results showed the following:① in terms of temporal distribution, O column concentration showed an upward trend in 2005-2010 and 2014-2020 and downward trend in 2010-2014; the maximum and minimum values were reached in 2010 and 2014 (332.31 DU and 301.00 DU), respectively, and seasonal changes showed that those in spring and winter were significantly higher than those in summer and autumn. ② In terms of spatial distribution, O column concentration showed a latitudinal band distribution characteristic of increasing from southwest to northeast; the high-value areas were primarily distributed in urban areas with low terrain, and the median zone was latitudinally striped with the basic alignment of the Qilian foothills. ③ The analysis of meteorological conditions revealed that temperature, wind speed, and sunshine hours were positively correlated with O, and relative humidity was negatively correlated with O. ④ By simulating the airflow transportation trajectory of the receiving point in Wuwei City, it was found that the direction of the O conveying path was relatively singular; the dominant airflow in each season was primarily in the west and northwest; and the proportions were 71.62%, 66.85%, 61.22%, and 77.78%, respectively. There were certain seasonal differences in the source areas of O potential contribution:the high-value areas of O potential sources in spring, summer, and autumn were distributed in Baiyin City and Lanzhou City, which were southeast wind sources, and the high-value areas in winter were distributed between the Badain Jaran Desert and the Tengger Desert, which was the north wind source.
基于OMI遥感卫星2005 - 2020年O柱浓度数据，结合河西走廊10个国家环境空气质量监测网环境空气自动监测站的污染物数据以及全球资料同化系统气象数据，运用克里金插值法、相关性分析法和后向轨迹（HYSPLIT）模型，对河西走廊O的时空分布特征、气象因子、传输路径及潜在源区进行了探究。结果表明：①在时间分布上，2005 - 2010年和2014 - 2020年O柱浓度呈上升趋势，2010 - 2014年呈下降趋势；最大值和最小值分别出现在2010年和2014年（332.31 DU和301.00 DU），季节变化显示春季和冬季的O柱浓度显著高于夏季和秋季。②在空间分布上，O柱浓度呈现出从西南向东北递增的纬向带状分布特征；高值区主要分布在地势较低的城市区域，中位数区域呈纬向条带状，基本与祁连山山麓走向一致。③气象条件分析表明，温度、风速和日照时数与O呈正相关，相对湿度与O呈负相关。④通过模拟武威市接收点的气流输送轨迹发现，O输送路径方向相对单一；各季节主导气流主要来自西部和西北部，比例分别为71.62%、66.85%、61.22%和77.78%。O潜在贡献源区存在一定季节差异：春季、夏季和秋季O潜在源高值区分布在白银市和兰州市，为东南风源，冬季高值区分布在巴丹吉林沙漠和腾格里沙漠之间，为北风源。
