Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4529
Title: Estimating the relationship between aerosol optical thickness and PM10using lidar and meteorological data in Limassol, Cyprus
Authors: Nisantzi, Argyro 
Alexakis, Dimitrios 
Hadjimitsis, Diofantos G. 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Aerosols;LIDAR;MODIS;Phase modulation;Photometry;Sun;Atmospheric particles;Satellites;Atmospheric optics;Atmospheric sensing
Issue Date: 30-Sep-2011
Source: Proceedings of SPIE - The international society for optical engineering, 2011, vol. 8182
Volume: 8182
Journal: Proceedings of SPIE - The international society for optical engineering 
Abstract: Daily Aerosol Optical Depth (AOD) values from MODIS satellite instrument may be useful to predict Particulate Matter (PM) values in local scale in accordance with vertical profile of the atmosphere and meteorological data. In the frame of 'AIRSPACE' project, correlations between the AOD retrieved from MODIS to sun photometer data from both hand-held MICROTOPS II and ground-based CIMEL from the AERONET network were applied with good correlation coefficients. This permits to use MODIS retrievals as a reliable tool for assessing PM whereas the relationship between these two quantities is not lucid. The main study area is the centre of Limassol in Cyprus. Results concerning the relation between AOD and PM are presented. In cases where high AOD values corresponded to low PM surface values, the vertical distribution of aerosols from Lidar allows the AOD to be quantified within the boundary layer as this fraction best represents the PM measurements in a well-mixed layer
URI: https://hdl.handle.net/20.500.14279/4529
ISSN: 1996756X
DOI: 10.1117/12.898357
Rights: © SPIE
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

SCOPUSTM   
Citations

1
checked on Nov 9, 2023

Page view(s)

554
Last Week
2
Last month
5
checked on Dec 17, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.