厦门市MODIS 气溶胶光学厚度与PM2.5 的时空特征及其相关性

摘要/Abstract

摘要： 基于 MODIS 气溶胶光学厚度 (Aerosol optical depth, AOD) 产品、 PM2.5 地面监测数据以及气象数据, 运用空间分析和统计回归分析, 采用总体与局部、一元与多元相结合的方式, 对厦门市 AOD 与 PM2.5 的时空特征及其相关性进行了研究。结果表明: AOD 时空变化明显, 月均值最高 1.133、最低 0.635, 分别出现在 4 月和 1 月, 季均值呈春、夏、秋、冬递减趋势, 年均值呈缓慢上升趋稳再略微下降态势; 沿海和厦门岛 AOD 整体较高, 较低值主要分布在西北、北部和东北区域。 PM2.5 总体上呈现与 AOD 相似的时空特征, 时序上具有明显季节特征, 空间分布上季均值的较大值主要分布在中部沿海, 较低值则多出现在西北部和东部。 AOD 与 PM2.5 一元线性回归总体上呈中度正相关, 相关系数为 0.575; 局部相关系数间存在明显差异, 整体上比总体相关性略低, 平均相关系数为 0.432; 引入气象因子的 AOD 与 PM2.5 多元线性回归平均相关系数为 0.625, 其中的三元线性回归模型的拟合相对最好, 且拟合效果不随因子数量的增加而变优。

关键词: MODIS, 气溶胶光学厚度, PM2.5, 时空特征, 相关性, 厦门市

Abstract: Based on moderate resolution imaging spectroradiometer (MODIS) 3 km aerosol optical depth (AOD) products, PM2.5 concentration and meteorological data measured near the ground, the spatio-temporal characteristics of AOD and PM2.5 over Xiamen, China, as well as their relationship were studied through comparison of the total and local, unitary and multivariate by using the methods of spatial analysis and statistical regression . The results show there were obvious changes in space-time characteristics of AOD, with highest monthly mean value of 1.133 occurred in April and lowest of 0.635 in January, and seasonal mean value shows a descending trend in spring, summer, autumn and winter, while the annual average value shows a trend of slowly rising, stabilizing and then slightly declining. The higher values of seasonal average AOD were mainly distributed in coastal regions and Xiamen Island, and the lower were mostly located in northwest, north and northeast regions. PM2.5 presented similar spatio-temporal characteristics to AOD, for example, it had obvious seasonal characteristics in time sequence, and in spatial distribution, its higher seasonal mean values were main in central coastal regions, while the lower values appeared mostly in northwest and east regions. There was a moderate positive overall correlation between AOD and PM2.5, with the overall correlation coefficient of unitary linear regression of 0.575. There were obvious differences in the partial coefficients of unitary linear regression between AOD and PM2.5, and the average partial correlation coefficient was 0.432, which was slightly lower than the overall correlation coefficient. The average correlation coefficient of multiple linear regression of AOD, PM2.5 and meteorological factors was 0.625, and it is shown that the multiple linear regression model of three independent variables has the best fitting effect, but the effect does not tend to be better with the increase of the number of the meteorological factors.

Key words: MODIS, aerosol optical depth, PM2.5, spatio-temporal characteristics, correlation, Xiamen City

中图分类号:

X513
TP79

施益强, 陈坰烽, 王坚, 黄宝燕, 吴君, 陈颖锋, 肖钟湧, ∗. 厦门市MODIS 气溶胶光学厚度与PM2.5 的时空特征及其相关性[J]. 大气与环境光学学报, 2020, 15(5): 334-346.

SHI Yiqiang, CHEN Jiongfeng, WANG Jian, HUANG Baoyan, WU Jun, . Spatial and Temporal Characteristics and Correlation of MODIS Aerosol Optical Depth and PM2.5 Concentration Over Xiamen City[J]. Journal of Atmospheric and Environmental Optics, 2020, 15(5): 334-346.

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