AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT
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), nitroge...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-4-W2-2020/37/2020/isprs-archives-XLIV-4-W2-2020-37-2020.pdf |
| _version_ | 1818329007248113664 |
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| author | L. Petry H. Herold G. Meinel T. Meiers I. Müller E. Kalusche T. Erbertseder H. Taubenböck E. Zaunseder V. Srinivasan A. Osman B. Weber S. Jäger C. Mayer C. Gengenbach |
| author_facet | L. Petry H. Herold G. Meinel T. Meiers I. Müller E. Kalusche T. Erbertseder H. Taubenböck E. Zaunseder V. Srinivasan A. Osman B. Weber S. Jäger C. Mayer C. Gengenbach |
| author_sort | L. Petry |
| collection | DOAJ |
| description | 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 (NO<sub>2</sub>) and ground-level ozone (O<sub>3</sub>) 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. |
| first_indexed | 2024-12-13T12:41:12Z |
| format | Article |
| id | doaj.art-3a6e20fee31f43ec92d5ecfc7dcf66b5 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-13T12:41:12Z |
| publishDate | 2020-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-3a6e20fee31f43ec92d5ecfc7dcf66b52022-12-21T23:45:38ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-09-01XLIV-4-W2-2020374310.5194/isprs-archives-XLIV-4-W2-2020-37-2020AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENTL. Petry0H. Herold1G. Meinel2T. Meiers3I. Müller4E. Kalusche5T. Erbertseder6H. Taubenböck7E. Zaunseder8V. Srinivasan9A. Osman10B. Weber11S. Jäger12C. Mayer13C. Gengenbach14Leibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, GermanyLeibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, GermanyLeibniz Institute of Ecological Urban and Regional Development (IOER), Dresden, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), 10587 Berlin, GermanyGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling-Oberpfaffenhofen, GermanyGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling-Oberpfaffenhofen, GermanyGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling-Oberpfaffenhofen, GermanyGerman Remote Sensing Data Center, German Aerospace Center (DLR), Weßling-Oberpfaffenhofen, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), 10587 Berlin, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), 10587 Berlin, GermanyFraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI), 10587 Berlin, GermanyHof University of Applied Sciences (HSH), 95028 Hof, GermanyGeomer GmbH, Heidelberg, GermanyMeggsimum, Mutterstadt, GermanySoftware AG, Darmstadt, GermanyThis 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 (NO<sub>2</sub>) and ground-level ozone (O<sub>3</sub>) 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-4-W2-2020/37/2020/isprs-archives-XLIV-4-W2-2020-37-2020.pdf |
| spellingShingle | L. Petry H. Herold G. Meinel T. Meiers I. Müller E. Kalusche T. Erbertseder H. Taubenböck E. Zaunseder V. Srinivasan A. Osman B. Weber S. Jäger C. Mayer C. Gengenbach AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT |
| title_full | AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT |
| title_fullStr | AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT |
| title_full_unstemmed | AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT |
| title_short | AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT |
| title_sort | air quality monitoring and data management in germany status quo and suggestions for improvement |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-4-W2-2020/37/2020/isprs-archives-XLIV-4-W2-2020-37-2020.pdf |
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