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首页> 外文会议>International Conference on Geoinformatics;Geoinformatics 2012 >Temporal and Spatial Analyses on Distribution of NO2 Column Density in Yangtze Delta Region
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Temporal and Spatial Analyses on Distribution of NO2 Column Density in Yangtze Delta Region

机译：长江三角洲地区NO2柱密度分布的时空分析

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Based on the remote sensing data of GOME and SCIMACHY, the paper analyzes the variation trend, temporal and spatial characteristics of NO2 column density from Apr. 1996 to Nov. 2009 in Yangtze Delta region. Besides that, seasonal analyses are also taken. In this session, a whole year is divided into dry season and rainy season. In spatial analyses, the paper emphasizes on the difference between NO2 column density over the land and the sea located in study area. In addition, some comparative analyses are carried out on monthly average data of NO2 column density and chlorophyll-a (Chl-a) concentration, in order to explore the relationship between the 2 factors and influence of NO2 in global carbon cycling, as a part of research on global change. The research result shows that: (1) From 1996 to 2009, the NO2 column density over Yangtze Delta Region increases, with some fluctuation. (2) The value of NO2 column density has a higher value in the beginning and the end of the year, while it gets lower in the middle of a year. The value that in dry season is apparently higher than that in rainy season. (3)The spatial analyses show that the column density over land is higher than that over sea on average. Though changing consistently, temporal change of column density over land has a little lag behind that over the sea. (4) The spatial distribution pattern of the value in study area is relatively stable. The place in city of Nanjing, almost all of southern part of Jiangsu Province and Shanghai has a high value, and the place with a low value is in southern part of Zhejiang Province and open sea area to the east of Zhejiang Province. The value in other part of study area is moderate. (5) The variation trend of NO2 column density and Chl-a concentration is almost opposite. Also, it can be proved that there is no linear relationship between the two parameters.
机译：基于国美和SCIMACHY的遥感数据，分析了长江三角洲地区1996年4月至2009年11月NO2柱密度的变化趋势，时空特征。除此之外，还进行了季节性分析。在本届会议上，全年分为旱季和雨季。在空间分析中，本文着重研究区域内陆地和海洋的NO2柱密度之间的差异。此外，对NO2柱密度和叶绿素a（Chl-a）浓度的月平均数据进行了一些比较分析，以探讨这两个因素与NO2在全球碳循环中的影响之间的关系。全球变化研究。研究结果表明：（1）从1996年到2009年，长江三角洲地区的NO2柱密度有所增加，并有一定的波动。 （2）NO2柱密度的值在年初和年末具有较高的值，而在年中则具有较低的值。旱季的数值明显高于雨季的数值。 （3）空间分析表明，陆地上的柱密度平均高于海洋上的柱密度。尽管变化是一致的，但陆地上的柱密度随时间变化比海洋上的柱密度稍有滞后。 （4）研究区价值的空间分布格局比较稳定。南京市，江苏省南部几乎所有地方和上海都具有较高的价值，而价值较低的地方则位于浙江省南部和浙江省东部的公海地区。研究区域其他部分的价值中等。 （5）NO2柱密度和Chl-a浓度的变化趋势几乎相反。而且，可以证明两个参数之间没有线性关系。

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