The spatial-temporal evolution of aerosol optical depth and the analysis of influence factors in Bohai Rim

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Hou, Chunliang^1,2 ; Jiang, Hong^1,3 ; Wang, Xiaoyan^2 ; Pei, Huan^2

International Institute for Earth System Science, Nanjing University, Nanjing, China^1

College of Information Science and Engineering, Yanshan University, Hebei Province, Qinhuangdao, China^2

Laboratory of Carbon Cyling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University, Hangzhou, China^3

关键词: Aerosol optical depths;    Aerosol optical property;    Analysis of influence factors;    Atmospheric environment;    Environmental researches;    Regional characteristics;    Spatial-temporal evolution;    Urban agglomerations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012035/pdf
DOI  :  10.1088/1755-1315/17/1/012035

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Aerosol Optical Depth (AOD) is an important parameter of aerosol optical properties and it is an important physical parameter quantity to understanding the atmospheric environment. Bohai Rim is one of the three major urban agglomeration regions with rapidly developing economy in China. The study of AOD over this region is important to understand the environment and climate in Bohai Rim. Firstly, aerosol product data from 2000 to 2010, published by NASA, were used to analyze the temporal-spatial evolution of AOD in Bohai Rim with precision evaluation. The results showed that the spatial distribution of AOD had an obvious regional characteristic. The spatial distribution characterized that a much high value existed at urban areas and plain areas. On the contrary, the low value data existed in some mountainous regions which had higher percentages of forest coverage. The AOD values fluctuated somewhat each year in the region, from the minimum annual mean in 2003 to the maximum in 2009. Generally, the highest AOD value was in summer, followed by spring, autumn and winter. In terms of monthly variation, the value of AOD reached its peak in June and the lowest value was in December. This study analyzed the relation between AOD and some influence factors such as land use types, elevation, and distribution of urban agglomeration and so on. These results provide an important basic dataset for climate and environmental research.