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Earth Observation-based analysis of NO2 pollution and settlement growth in megacities

Erbertseder, Thilo and Taubenböck, Hannes and Esch, Thomas and Gilardi, Lorenza and Paeth, Heiko and Marconcini, Mattia and Dech, Stefan (2023) Earth Observation-based analysis of NO2 pollution and settlement growth in megacities. In: 2023 Joint Urban Remote Sensing Event, JURSE 2023, pp. 1-4. 2023 Joint Urban Remote Sensing Event (JURSE), 2023-05-17 - 2023-05-19, Heraklion, Greece. doi: 10.1109/JURSE57346.2023.10144190. ISBN 978-166549373-4. ISSN 2642-9535.

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Official URL: https://dx.doi.org/10.1109/JURSE57346.2023.10144190

Abstract

Megacities have become global centers of industrial production, trade and innovation, but also energy consumption, atmospheric emissions and air pollution. Despite several studies on NO2 changes in megacities, a systematic analysis in relation to settlement growth is still pending. In addition, previous studies do not refer to consistent spatial city concepts which distorts statistics in the comparison. In this study we examine the trends of NO2 air pollution in 30 megacities in relation to urban settlement growth by analyzing various Earth Observation data sets. Multi-annual records of tropospheric NO2 from GOME, SCIAMACHY, GOME-2A and GOME-2B are evaluated regarding yearly urban settlement growth as derived from the World Settlement Footprint for the period from 1996 to 2015. Compared to previous studies, this work strictly uses remote sensing data and the spatial concept of Functional Urban Areas. Therefore, uncertainties due to incomparable administrative units, heterogeneously reported local data and population counts are widely excluded to enable an appropriate comparison of megacities across the globe. We find a wide range of trends: relative NO2 pollution ranges from an increase of 16 %/year to a decrease of -3 %/year, settlement growth rates from 0,4 %/year to 8 %/year. Despite this variety, the results exhibit a pronounced relation to the income group following the world's economies classification of the World Bank. While the strongest NO2 pollution increases occur in megacities of lower middle-income countries, the strongest settlement growth rates are observed in upper middle-income countries. Megacities in high income countries are predominantly characterized by the smallest relative settlement growth rates and a decrease in NO2 air pollution.

Item URL in elib:https://elib.dlr.de/196356/
Document Type:Conference or Workshop Item (Speech)
Title:Earth Observation-based analysis of NO2 pollution and settlement growth in megacities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Erbertseder, ThiloUNSPECIFIEDhttps://orcid.org/0000-0003-4888-1065UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Gilardi, LorenzaUNSPECIFIEDhttps://orcid.org/0000-0003-4472-8530UNSPECIFIED
Paeth, HeikoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Marconcini, MattiaUNSPECIFIEDhttps://orcid.org/0000-0002-5042-5176UNSPECIFIED
Dech, StefanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:8 June 2023
Journal or Publication Title:2023 Joint Urban Remote Sensing Event, JURSE 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1109/JURSE57346.2023.10144190
Page Range:pp. 1-4
ISSN:2642-9535
ISBN:978-166549373-4
Status:Published
Keywords:Earth Observation, air pollution, urban growth, megacities, times series analysis, nitrogen dioxide
Event Title:2023 Joint Urban Remote Sensing Event (JURSE)
Event Location:Heraklion, Greece
Event Type:international Conference
Event Start Date:17 May 2023
Event End Date:19 May 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
German Remote Sensing Data Center > Geo Risks and Civil Security
German Remote Sensing Data Center > Leitungsbereich DFD
Deposited By: Erbertseder, Thilo
Deposited On:06 Nov 2023 11:46
Last Modified:24 Apr 2024 20:56

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