期刊论文详细信息
Meteorological applications
Seasonal variation and classification of aerosols over an inland station in India
article
P. Sivaprasad1  C. A. Babu1 
[1] Department of Atmospheric Sciences, Cochin University of Science and Technology
关键词: aerosol optical depth;    Angstrom exponent;    AERONET;    cluster analysis;   
DOI  :  10.1002/met.1319
学科分类:社会科学、人文和艺术(综合)
来源: Wiley
PDF
【 摘 要 】

Aerosols are capable of interfering with the radiation balance and cloud properties of the Earth-atmosphere system. The present study analyses and classifies the aerosol properties over a station, Kanpur, located in the Gangetic plain, which is the area with maximum aerosol loading in Indian subcontinent. Kanpur is one of the highly populated and industrialized cities in north India and is a good source of natural and anthropogenic aerosols. The analysis of aerosol characteristics reveals that aerosol loading is highest during the months of May to June and November to January. Accumulation mode aerosols (mainly of anthropogenic origin) dominate over coarse mode aerosols in the winter and post-monsoon seasons. During the summer, coarse mode aerosols dominate in the atmosphere. A comparison of sunphotometer data with satellite data shows lowest correlation during monsoon season. The satellite derived aerosol optical depth is overestimated during the monsoon season. Atmospheric aerosols are grouped and classified into different clusters according to their optical and microphysical properties. Three clusters were identified and defined according to features of the location and aerosol microphysical properties over the station. The classified clusters are defined as: (1) urban fine aerosols; (2) heavy pollution, and, (3) urban mixed aerosols. Of these heavy pollution episodes occur least and urban fine aerosols are observed at the highest number of occurrence. Wind has significant impact in the determination of local aerosol properties by advection of the particles from other locations and enhancing dust storm activities.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND   

【 预 览 】
附件列表
Files Size Format View
RO202107100002114ZK.pdf 427KB PDF download
  文献评价指标  
  下载次数:7次 浏览次数:2次