Literature DB >> 25770951

Columnar and surface aerosol load over the Iberian Peninsula establishing annual cycles, trends, and relationships in five geographical sectors.

D Mateos1, V E Cachorro2, C Toledano2, M A Burgos2, Y Bennouna2, B Torres2, D Fuertes2, R González2, C Guirado2, A Calle2, A M de Frutos2.   

Abstract

The study of atmospheric aerosol load over the Iberian Peninsula (IP) under a climatological perspective is accomplished by means of PM10 and AOD440 nm measurements from EMEP and AERONET networks, respectively, in the period 2000-2013. The PM10 annual cycles in five Iberian sectors show a main maximum in summer and a secondary maximum in spring, which is only observed in the southern area for the AOD climatology. The characteristics of PM10-AOD annual cycles of each geographical sector are explained by the different climatology of the air mass origins and their apportioning. The two magnitudes are correlated with a factor ranging between 20 and 90 depending on the sector. The temporal evolution of the aerosol load has shown a notable decrease in the IP since the 1980s. Statistically significant trends are obtained in the Northeastern sector with a reduction of 26% (period 1985-2000) for the total suspended particles, which continues for the PM10 data with a value of 35% per decade (2001-2013), and also in the whole column, 61% per decade in the AOD440 nm (2004-2013).
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Aerosol climatology; Aerosol load trend; Aerosol optical depth; Air mass analysis; Particulate matter

Year:  2015        PMID: 25770951     DOI: 10.1016/j.scitotenv.2015.03.002

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  The relationships between surface-column aerosol concentrations and meteorological factors observed at major cities in the Yangtze River Delta, China.

Authors:  Han Ding; Kanike Raghavendra Kumar; Richard Boiyo; Tianliang Zhao
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-15       Impact factor: 4.223

  1 in total

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