基于OMI的臭氧（O3）数据，运用空间信息技术（GIS、RS）和皮尔森相关分析方法，分析了福建省 2011—2020年 O3时空变化特征及其与影响因素的相关性。结果表明：在时序上，月均值最低为 4月份 260.10 DU，最高为 10月份 283.97 DU，月际变化呈波浪形态势；季均值高低依次为秋季、夏季、冬季和春季，秋季明显高于其他3个季节；年均值波动范围为265.18~275.09 DU，最低值出现在 2013 年，最高值出现在 2014 年；近 10 年 O3总均值为 270.19 DU。在空间上，月均值在 7~12月整体分布为相对中高值区，1~6月则为相对中低值区；季均值在秋季分布为相对高值区，秋夏季纬度变化特征比春冬季更明显；年均值在 2013和 2016年分布为相对低值区，2011、2012、2014、2018年为相对高值区；近10年总均值分布为北部高于南部，相对高值区主要在宁德市、南平市及福州市北部，相对低值区主要在漳州市、厦门市及龙岩市和泉州市的南部，呈南北走向随纬度降低而降低，东西走向由内陆往沿海升高的总体趋势。在影响因素相关性上，气温、降水与O3均呈现正负相关性并存，正相关性主要分布在沿海城市，负相关性则主要分布在内陆城市，呈沿海向内陆的较强正相关逐渐变为较强负相关的特征。对于降水与 O3，全省大部分区域表现为负相关；NDVI也呈现出正负相关性并存现象，但负相关性所占面积明显高于正相关性，整体上呈现出较显著负相关性。
Based on OMI data product, the spatio-temporal variabilities characteristics of ozone column concentration and its correlation with influential factors in Fujian province are analysed using spatial information technology and Pearson correlational analysis method for the period of 2011 to 2020. The results show that the lowest monthly average value was 260.10 DU in April and the highest 283.97 DU in October. The monthly change was wavy, the order of seasonal mean values was autumn, summer, winter and spring, with autumn being obviously higher than the other three.. The variation range of annual average values was 265.18-275.09 DU, the lowest in 2013 and the highest in 2014, and the total mean value of ozone in recent 10 years was 270.19 DU. In terms of spatial distribution, monthly averages were generally distributed as a relatively high value area from July to December and as a relatively low value area from January to June. The spatial distribution of the mean values in autumn was in a relatively high area, and latitude changes in autumn and summer were more obvious than those in spring and winter. The spatial distributions of average annual values in 2013 and 2016 were in the relatively low value areas, while 2011, 2012, 2014 and 2018 in relatively high value areas. In the recent ten years, the distribution of the total mean values in the north was higher than that in the south, and the relatively high value areas were mainly in Ningde City, Nanping City and the north of Fuzhou City, while the relatively low value areas were mainly in Zhangzhou City, Xiamen City, and the south of Longyan City and Quanzhou City. The overall trend of distribution of ozone was that the ozone values decreased with the decrease of latitude in the north-south orientation, and it rose from inland areas to coastal areas in the east-west orientation. In terms of correlation of ozone with the influencing factors, temperature and precipitation presented both positive correlation and negative correlation, with positive correlation mainly distributed in coastal cities while negative correlation mainly in inland cities, presenting the characteristics of strong positive correlation gradually changed into strong negative correlation from coastal to inland. For precipitation and ozone, most regions showed negative correlation. The NDVI also showed the coexistence of positive and negative correlations but the area of negative correlation was significantly larger than that of positive correlation, showing a significant negative correlation on the whole.
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