太阳成8722(中国)有限公司-GREEN NO.1

作者：Guo, YJ(Guo, Yangjie); Hong, S(Hong,Song); Feng, N(Feng,Nan); Zhuang, YH(Zhuang,Yanhua); Zhang, L(Zhang,Liang)

来源出版物：INTERNATIONAL JOURNAL OF REMOTE SENSING 卷：33 期：12 页：3672-3692 出版年：2012

摘要：Using Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol data, temporal variations and the spatial distribution of aerosol optical depth (AOD or tau) over the Hubei Province in China were investigated from 2003 to 2008. self-organizing maps (SOMs) and linear models were further used to analyse the relationships between AODs and elevation, normalized difference vegetation index (NDVI) and population density. The results were as follows: high AOD values were observed in south-central areas with lower elevations, lower NDVI and larger population densities, whereas low AOD values were observed in the western, northeastern and southeastern areas. The highest AOD values were observed in spring; summer was characterized by lower AOD values, but also the largest ratio of fine particles; in autumn, the coverage of AOD was only smaller than spring with most being fine particles; in winter, coarse particles were dominant when AOD values were the lowest. The AOD monthly average rose substantially in the winter-spring season and dropped sharply in the spring-winter season. Based on these data, both SOMs and linear models show that AOD distribution is influenced by the complex interactions that occur among various elements. The annual AODs are negatively related to ln(elevation) and NDVI and positively related to ln(population density). The ln(elevation) factor affects aerosol distribution more than do the other two factors. Compared to fine-particle aerosols, the selected three factors have a greater impact on the coarse particles.

文献类型：Article

语种：English

扩展关键词：SELF-ORGANIZING MAP; OPTICAL DEPTH; SATELLITE; CLIMATE; IMPACT; MODIS; ASIA

通讯作者地址：Hong, S (通讯作者),Wuhan Univ, Sch Resource & Environm Sci, Dept Environm Sci, Wuhan 430072, Peoples R China

地址：

[Guo, Yangjie; Hong, Song; Zhuang, Yanhua] Wuhan Univ, Sch Resource & Environm Sci, Dept Environm Sci, Wuhan 430072, Peoples R China

[Feng, Nan] Univ Alabama Huntsville, Dept Atmospher Sci, Huntsville, AL 35805 USA

[Zhang, Liang] Chinese Acad Sci, Inst Geodesy & Geophys, Wuhan 430077, Peoples R China

电子邮件地址：environmentalanalytics@gmail.com" target=_blankenvironmentalanalytics@gmail.com

学科类别：Remote Sensing; Imaging Science & Photographic Technology

ISSN: 0143-1161