基于OMI数据2005~2012年中国区域SO2时空变化特征研究

摘要/Abstract

摘要：

利用OMI传感器获取了2005~2012年中国区域内的SO2柱浓度变化数据，并基于MODIS传感器获取了中国区域内的下垫面土地利用类型数据。应用空间分析的方法，分别分析了中国区域内的SO2柱浓度与时间的空间关联特征，以及与土地利用类型的空间关联特征。通过研究发现，在空间和时间区域来说，乌鲁木齐、京津冀、长江三角洲、四川盆地和珠江三角洲为SO2高浓度区；北方地区SO2浓度冬高夏低且峰值逐年上升的趋势，南方地区则呈现SO2浓度夏高冬低的特点。从土地利用来说，城市和耕地上空的SO2浓度较高，森林、草地和裸地上空的浓度较低。该研究结果表明，人类活动在行星边界层SO2分布和浓度变化中起关键作用。

关键词: 大气光学, SO2柱浓度, 时空分布, 土地类型, 中国区域

Abstract:

The sulfur dioxide (SO2) concentration during 2005~2012 over China was monitored from the planetary boundary layer (PBL) SO2 column density retrieved from Aura Ozone Monitoring Instrument (OMI) data and land use types of China from MODIS. Spatial analysis was adopted to analyze PBL SO2 column density’s spatial characteristics with time and land use type respectively over China. From the perspective of spatiotemporal variations, the result shows that the high SO2 density in China is mainly concentrated in the area of Urumqi, Beijing-Tianjin-Hebei, Yangtze River Delta, Sichuan Basin and Pearl River Delta region. Besides, the SO2 value in northern China is high in winter and low in summer, and has a rising trend in recent years. The SO2 value in South China is low in winter and high in summer, and the peak value has decreased during 2005~2012. In terms of land use, the high value of SO2 was found in urban and crop land, while the low value of SO2 was found in forest, lawn and bare land. Those results reflect that human activities play a key role in the distribution and variation of PBL SO2.

Key words: atmospheric optics, SO2 column density, spatiotemporal variations, land use, China

中图分类号:

p42.16

高一博梅世玉麻金继吴时超张洪海许丹丹. 基于OMI数据2005~2012年中国区域SO2时空变化特征研究[J]. 大气与环境光学学报, 2016, 11(4): 299-312.

GAO Yi-Bo, MEI Shi-Yu, MA Jin-Ji, WU Shi-Chao, ZHANG Hong-Hai, XU Dan-Dan. Spatiotemporal Variations of SO2 over China by OMI Observations During 2005~2012[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(4): 299-312.

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