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Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement

Petry, Lisanne and Herold, Hendrik and Meinel, Gotthard and Meiers, Thomas and Müller, Inken and Kalusche, Elena and Erbertseder, Thilo and Taubenböck, Hannes and Zaunseder, Elaine and Srinivasan, Vignesh and Osman, Ahmed Mohamed Magdi Mohamed and Weber, Beatrix and Jäger, Stefan and Mayer, Christian and Gengenbach, Christian (2020) Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIV-4, pp. 37-43. 5th International Conference on Smart Data and Smart Cities, 30. Sept. - 2. Oct. 2020, Nice, France. doi: 10.5194/isprs-archives-XLIV-4-W2-2020-37-2020. ISSN 1682-1750.

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Abstract

This paper proposes a novel approach to facilitate air quality aware decision making and to support planning actors to take effective measures for improving the air quality in cities and regions. Despite many improvements over the past decades, air pollutants such as particulate matter (PM), nitrogen dioxide (NO2) and ground-level ozone (O3) pose still one of the major risks to human health and the environment. Based on both a general analysis of the air quality situation and regulations in the EU and Germany as well as an in-depth analysis of local management practices requirements for better decision making are identified. The requirements are used to outline a system architecture following a co-design approach, i.e., besides scientific and industry partners, local experts and administrative actors are actively involved in the system development. Additionally, the outlined system incorporates two novel methodological strands: (1) it employs a deep neural network (DNN) based data analytics approach and (2) makes use of a new generation of satellite data, namely Sentinel-5 Precursor (Sentinel-5P). Hence, the system allows for providing areal and high-resolution (e.g., street-level) real-time and forecast (up to 48 hours) data to inform decision makers for taking appropriate short-term measures, and secondly, to simulate air quality under different planning options and long-term actions such as modified traffic flows and various urban layouts.

Item URL in elib:https://elib.dlr.de/137321/
Document Type:Conference or Workshop Item (Speech)
Title:Air Quality Monitoring and Data Management in Germany - Status Quo and Suggestions for Improvement
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Petry, Lisannel.petry (at) ioer.deUNSPECIFIED
Herold, Hendrikh.herold (at) ioer.deUNSPECIFIED
Meinel, Gotthardg.meinel (at) ioer.deUNSPECIFIED
Meiers, Thomasthomas.meiers (at) hhi.fraunhofer.deUNSPECIFIED
Müller, InkenInken.Mueller (at) dlr.deUNSPECIFIED
Kalusche, ElenaElena.Kalusche (at) dlr.deUNSPECIFIED
Erbertseder, ThiloThilo.Erbertseder (at) dlr.deUNSPECIFIED
Taubenböck, HannesHannes.Taubenboeck (at) dlr.deUNSPECIFIED
Zaunseder, Elaineelaine.zaunseder (at) hhi.fraunhofer.deUNSPECIFIED
Srinivasan, Vigneshvignesh.srinivasan (at) hhi.fraunhofer.deUNSPECIFIED
Osman, Ahmed Mohamed Magdi MohamedAhmedMohamedMagdiMohamed.Osman (at) hhi.fraunhofer.deUNSPECIFIED
Weber, Beatrixbeatrix.weber (at) hof-university.deUNSPECIFIED
Jäger, Stefansj (at) geomer.deUNSPECIFIED
Mayer, Christianchris (at) meggsimum.deUNSPECIFIED
Gengenbach, Christianchristian.gengenbach (at) softwareag.comUNSPECIFIED
Date:2020
Journal or Publication Title:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:XLIV-4
DOI :10.5194/isprs-archives-XLIV-4-W2-2020-37-2020
Page Range:pp. 37-43
ISSN:1682-1750
Status:Published
Keywords:Monitoring, Air Quality, Smart Data, Co-Design
Event Title:5th International Conference on Smart Data and Smart Cities
Event Location:Nice, France
Event Type:international Conference
Event Dates:30. Sept. - 2. Oct. 2020
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 > Geo Risks and Civil Security
German Remote Sensing Data Center > Atmosphere
Deposited By: Müller, Inken
Deposited On:09 Nov 2020 15:41
Last Modified:09 Nov 2020 15:41

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