NDLI: Temporal-spatial distribution of SO2 and NO2 in Yangtze River Delta, China from 2005 to 2010

Content Provider	IEEE Xplore Digital Library
Author	Xuehan Jing Jie Jiang
Copyright Year	2011
Description	Author affiliation: College of Geography and Biology Information, Nanjing University of Posts and Telecommunications, China (Xuehan Jing; Jie Jiang)
Abstract	Information on monthly and yearly SO2 and NO2 vertical column density means over the Yangtze River Delta from January 2005 to November 2010 was reported based the remote sensing data from the OMI sensor. In conclusion, from spatial perspective, the yearly SO2 average mean is high along the Nanjing-Shanghai railway line. And the further it is from the railway line, the less average mean is. The distribution surrounding the cities likens an island. The spatial distribution of NO2 shares the similar characteristic. From the temporal perspective, the yearly average means of SO2 are of a decreasing tendency, which reveals that the $11^{th}$ Five-Year Plan do control the emission of SO2. In terms of the monthly average mean of SO2 each year, it always drops from the high level in January and then rebounces to the original high level before the following year. However, there is a increment of yearly average means of NO2, excluding Shanghai. Coming to monthly average mean of NO2, it fluctuates regularly with a good periodicity. To sum up, we can conclude the $11^{th}$ Five-Year Plan have the influence on the emission of SO2 and NO2.
Starting Page	5457
Ending Page	5460
File Size	375618
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965580
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	NO2 and SO2 Satellites Temporal and spatial distribution Instruments Yangtze River Delta NASA Cities and towns $11^{th}$ Five-Year Plan Rail transportation OMI Rivers Monitoring
Content Type	Text
Resource Type	Article

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