Estimation of aerosol optical depth at different wavelengths by multiple regression method

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• 作者：Fuyi Tan ; Hwee San Lim ; Khiruddin Abdullah…
• 关键词：Aerosol ; Aerosol optical depth (AOD) ; Air pollution index (API) ; Relative humidity ; Visibility (Vis) ; Back ; trajectory ; CALIPSO ; Southeast Asia
• 刊名：Environmental Science and Pollution Research
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：23
• 期：3
• 页码：2735-2748
• 全文大小：2,574 KB
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• 作者单位：Fuyi Tan (1)
  Hwee San Lim (1)
  Khiruddin Abdullah (1)
  Brent Holben (2)
  
  1. School of Physics, Universiti Sains Malaysia, 11800, Gelugor, Penang, Malaysia
  2. NASA Goddard Space Flight Center, Greenbelt, MD, USA
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environment
  Atmospheric Protection, Air Quality Control and Air Pollution
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Industrial Pollution Prevention
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1614-7499

文摘

This study aims to investigate and establish a suitable model that can help to estimate aerosol optical depth (AOD) in order to monitor aerosol variations especially during non-retrieval time. The relationship between actual ground measurements (such as air pollution index, visibility, relative humidity, temperature, and pressure) and AOD obtained with a CIMEL sun photometer was determined through a series of statistical procedures to produce an AOD prediction model with reasonable accuracy. The AOD prediction model calibrated for each wavelength has a set of coefficients. The model was validated using a set of statistical tests. The validated model was then employed to calculate AOD at different wavelengths. The results show that the proposed model successfully predicted AOD at each studied wavelength ranging from 340 nm to 1020 nm. To illustrate the application of the model, the aerosol size determined using measure AOD data for Penang was compared with that determined using the model. This was done by examining the curvature in the ln [AOD]–ln [wavelength] plot. Consistency was obtained when it was concluded that Penang was dominated by fine mode aerosol in 2012 and 2013 using both measured and predicted AOD data. These results indicate that the proposed AOD prediction model using routine measurements as input is a promising tool for the regular monitoring of aerosol variation during non-retrieval time.