基于OMI卫星遥感数据的中国对流层NO2时空分布  

Temporal-Spatial Distribution of Tropospheric NO_2 in China Using OMI Satellite Remote Sensing Data

作　　者：王跃启[1] 江洪[1,2] 张秀英[1] 周国模[2] 余树全[2] 肖钟 

机构地区：[1]南京大学国际地球系统科学研究所,江苏南京210093 [2]浙江林学院国际空间生态与生态系统生态研究中心,浙江杭州311300

出　　处：《环境科学研究》2009年第8期932-937,共6页Research of Environmental Sciences

基　　金：国家重点基础研究发展计划(973)项目(2005CB422208,2005CB422207);国家自然科学基金项目(40671132);科学技术部数据共享平台建设项目(2006DKA32300-08);科学技术部国际合作项目(200831810);科学技术部重大科技基础项目(2007FY110300)

摘　　要：基于2004年11月—2008年1月OMI卫星对流层NO2的垂直柱浓度数据,对我国8个自然地理分区对流层NO2垂直柱浓度的年均值、月均值的分布进行了分析,依据月均值变化建立正弦曲线拟合模型,依据该模型定量分析了各自然区对流层NO2垂直柱浓度的变化趋势、变化周期和变化幅度等特征.结果表明:拟合模型可较好地反映我国8个自然区对流层NO2垂直柱浓度的变化特征;证明了人类活动影响了对流层NO2垂直柱浓度的分布及其变化,这种影响主要体现在对流层NO2垂直柱浓度的高低、变化的周期性以及增长趋势等方面.Information on monthly and yearly mean tropospheric NO2 vertical column densities over China from November 2004 to January 2008 were reported based on remote sensing data from an OMI satellite. The information on NO2 vertical column densities were divided into eight natural regions for the further analysis. A linear sine model was established to fit the time series from November 2004 to January 2008 for these regions. The model was used to simulate the change trends, variation periods and fluctuation ranges of tropospheric NO2 vertical column densities through out the eight geographical regions of China. The results showed that the variation of these regions can be well simulated by the model. The results also proved that human activities play a key role in the variation of tropospheric NO2 vertical column densities. This influence was mainly reflected in impacts on dose concentration, periodicity, and increasing trend of tropospheric NO2 vertical column densities.

关 键 词：OMI NO2垂直柱浓度 变化趋势 周期 幅度 自然区 

分 类 号：X511[环境科学与工程—环境工程]