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Anthropogenic sulphur dioxide load over China as observed from different satellite sensors

Koukouli, M. and Balis, D. S. and Van Der A, R. and Theys, N. and Hedelt, Pascal and Richter, Andreas and Krotkov, N. and Li, C. and Taylor, M. (2016) Anthropogenic sulphur dioxide load over China as observed from different satellite sensors. Atmospheric Environment, 145, pp. 45-59. Elsevier. DOI: 10.1016/j.atmosenv.2016.09.007 ISSN 1352-2310

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Abstract

China, with its rapid economic growth and immense exporting power, has been the focus of many studies during this previous decade quantifying its increasing emissions contribution to the Earth's atmosphere. With a population slowly shifting towards enlarged power and purchasing needs, the ceaseless inauguration of new power plants, smelters, refineries and industrial parks leads infallibly to increases in sulphur dioxide, SO2, emissions. The recent capability of next generation algorithms as well as new space-borne instruments to detect anthropogenic SO2 loads has enabled a fast advancement in this field. In the following work, algorithms providing total SO2 columns over China based on SCIAMACHY/Envisat, OMI/Aura and GOME2/MetopA observations are presented. The need for post-processing and gridding of the SO2 fields is further revealed in this work, following the path of previous publications. Further, it is demonstrated that the usage of appropriate statistical tools permits studying parts of the datasets typically excluded, such as the winter months loads. Focusing on actual point sources, such as megacities and known power plant locations, instead of entire provinces, monthly mean time series have been examined in detail. The sharp decline in SO2 emissions in more than 90%-95% of the locations studied confirms the recent implementation of government desulphurisation legislation; however, locations with increases, even for the previous five years, are also identified. These belong to provinces with emerging economies which are in haste to install power plants and are possibly viewed leniently by the authorities, in favour of growth. The SO2 load seasonality has also been examined in detail with a novel mathematical tool, with 70% of the point sources having a statistically significant annual cycle with highs in winter and lows in summer, following the heating requirements of the Chinese population.

Item URL in elib:https://elib.dlr.de/114003/
Document Type:Article
Title:Anthropogenic sulphur dioxide load over China as observed from different satellite sensors
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koukouli, M.aristotle university of thessaloniki, greeceUNSPECIFIED
Balis, D. S.aristotle university of thessaloniki, greeceUNSPECIFIED
Van Der A, R.avander (at) knmi.nlUNSPECIFIED
Theys, N.bira-iasb, bUNSPECIFIED
Hedelt, PascalPascal.Hedelt (at) dlr.dehttps://orcid.org/0000-0002-1752-0040
Richter, AndreasUni BremenUNSPECIFIED
Krotkov, N.nickolay.a.krotkov (at) nasa.govUNSPECIFIED
Li, C.NASA GoddardUNSPECIFIED
Taylor, M.aristotle university of thessaloniki, greeceUNSPECIFIED
Date:2016
Journal or Publication Title:Atmospheric Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:145
DOI :10.1016/j.atmosenv.2016.09.007
Page Range:pp. 45-59
Publisher:Elsevier
ISSN:1352-2310
Status:Published
Keywords:Sulphur dioxide, China Satellite remote sensing OMI SCIAMACHY GOME2A Trends Seasonality
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Atmosphären- und Klimaforschung
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hedelt, Pascal
Deposited On:15 Sep 2017 11:06
Last Modified:15 Dec 2017 16:51

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