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description Publicationkeyboard_double_arrow_right Report , Other literature type , Article 2023 Spain, Poland, United Kingdom, AustriaPublisher:European Respiratory Society (ERS) Authors: Michelle C. Turner; Zorana Jovanovic Andersen; Maria Neira; Michal Krzyzanowski; +31 AuthorsMichelle C. Turner; Zorana Jovanovic Andersen; Maria Neira; Michal Krzyzanowski; Ebba Malmqvist; Alberto González Ortiz; Gregor Kiesewetter; Klea Katsouyanni; Bert Brunekreef; Erik Melén; Petter Ljungman; Margherita Tolotto; Francesco Forastiere; Paul Dendale; Richard Price; Ole Bakke; Sibylle Reichert; Gerard Hoek; Göran Pershagen; Annette Peters; Xavier Querol; Anna Gerometta; Evangelia Samoli; Iana Markevych; Romain Basthiste; Haneen Khreis; Pallavi Pant; Mark Nieuwenhuijsen; Jason D. Sacks; Kjeld Hansen; Thomas Lymes; Anne Stauffer; Gary W. Fuller; Hanna Boogaard; Barbara Hoffmann;pmid: 37827574
Ambient air pollution is a major public health concern and comprehensive new legislation is currently being considered to improve air quality in Europe. The European Respiratory Society (ERS), Health Effects Institute (HEI), and International Society for Environmental Epidemiology (ISEE) organised a joint meeting on May 24, 2023 in Brussels, Belgium, to review and critically evaluate the latest evidence on the health effects of air pollution and discuss ongoing revisions of the European Ambient Air Quality Directives (AAQDs). A multi-disciplinary expert group of air pollution and health researchers, patient and medical societies, and policy representatives participated. This report summarises key discussions at the meeting.
Jagiellonian Univers... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2023Data sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1183/13993003.01380-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 download downloads 1 Powered bymore_vert Jagiellonian Univers... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2023Data sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1183/13993003.01380-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2022 Austria GermanPublisher:Institut für Makroökonomie und Konjunkturforschung (IMK) Raza, Werner G.; Tröster, Bernhard; Madner, Verena; Mayr, Stefan; Hollaus, Birgit;handle: 10419/264313
Im Rahmen dieser Studie wird der Vorschlag der EU-Kommission für ein CO2-Grenzausgleichssystem (CBAM) einer ökonomischen sowie rechtlichen Analyse unterzogen. Die Analyse des CBAM-Vorschlags zeigt, dass sowohl hinsichtlich der Frage der Effektivität als auch im Hinblick auf die WTO-Kompatibilität des CBAM gewisse Problembereiche bestehen. Wenngleich eine Ergänzung des Emissionshandelssystems der EU grundsätzlich notwendig ist, ergeben sich aus dem CBAM-Vorschlag der Europäischen Kommission Risiken; vor allem aus dem beschränkten Anwendungsbereich des CBAM auf Grundstoffe und Grunderzeugnisse sowie im Hinblick auf seine Vereinbarkeit mit zentralen WTO-Prinzipien (Meistbegünstigungsgrundsatz, Inländerbehandlung). Anstelle einer technisch komplexen und WTO-rechtlich problematischen Ausweitung des Anwendungsbereichs des CBAM empfiehlt die Studie, die Effektivität des Mechanismus auf indirektem Wege zu steigern und ihn um nicht-preisbasierte Instrumente mit Schwerpunkt auf transformativer Forschungs- und Innovationsförderung zu ergänzen. Die Zweckwidmung der CBAM-Erlöse für eine große EU-Mission zur Förderung neuer und energiesparender Produktionstechnologien sowie die Förderung des Technologietransfers in Länder des Globalen Südens könnten dabei einen wichtigen Beitrag leisten.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10419/264313&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10419/264313&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Report 2021 GermanyPublisher:Copernicus GmbH Anne Schucknecht; Bumsuk Seo; Alexander Krämer; Sarah Asam; Clement Atzberger; Ralf Kiese;Grasslands are an important part of pre-Alpine and Alpine landscapes. Despite the economic value and the significant role of grasslands in carbon and nitrogen (N) cycling, spatially explicit information on grassland biomass and quality is rarely available. Remotely sensed data from unmanned aircraft systems (UASs) and satellites might be an option to overcome this gap. Our study aims to investigate the potential of low-cost UAS-based multispectral sensors for estimating above-ground biomass (dry matter, DM) and plant N concentration. In our analysis, we compared two different sensors (Parrot Sequoia, SEQ; MicaSense RedEdge-M, REM), three statistical models (linear model; random forests, RFs; gradient-boosting machines, GBMs), and six predictor sets (i.e. different combinations of raw reflectance, vegetation indices, and canopy height). Canopy height information can be derived from UAS sensors but was not available in our study. Therefore, we tested the added value of this structural information with in situ measured bulk canopy height data. A combined field sampling and flight campaign was conducted in April 2018 at different grassland sites in southern Germany to obtain in situ and the corresponding spectral data. The hyper-parameters of the two machine learning (ML) approaches (RF, GBM) were optimized, and all model setups were run with a 6-fold cross-validation. Linear models were characterized by very low statistical performance measures, thus were not suitable to estimate DM and plant N concentration using UAS data. The non-linear ML algorithms showed an acceptable regression performance for all sensor–predictor set combinations with average (avg; cross-validated, cv) Rcv2 of 0.48, RMSEcv,avg of 53.0 g m2, and rRMSEcv,avg (relative) of 15.9 % for DM and with Rcv,avg2 of 0.40, RMSEcv,avg of 0.48 wt %, and rRMSEcv, avg of 15.2 % for plant N concentration estimation. The optimal combination of sensors, ML algorithms, and predictor sets notably improved the model performance. The best model performance for the estimation of DM (Rcv2=0.67, RMSEcv=41.9 g m2, rRMSEcv=12.6 %) was achieved with an RF model that utilizes all possible predictors and REM sensor data. The best model for plant N concentration was a combination of an RF model with all predictors and SEQ sensor data (Rcv2=0.47, RMSEcv=0.45 wt %, rRMSEcv=14.2 %). DM models with the spectral input of REM performed significantly better than those with SEQ data, while for N concentration models, it was the other way round. The choice of predictors was most influential on model performance, while the effect of the chosen ML algorithm was generally lower. The addition of canopy height to the spectral data in the predictor set significantly improved the DM models. In our study, calibrating the ML algorithm improved the model performance substantially, which shows the importance of this step.
Biogeosciences (BG) arrow_drop_down DLR publication serverOther literature type . Preprint . 2021 . 2022 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2021-250&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Biogeosciences (BG) arrow_drop_down DLR publication serverOther literature type . Preprint . 2021 . 2022 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2021-250&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Report , Other literature type , Article 2023 Spain, Poland, United Kingdom, AustriaPublisher:European Respiratory Society (ERS) Authors: Michelle C. Turner; Zorana Jovanovic Andersen; Maria Neira; Michal Krzyzanowski; +31 AuthorsMichelle C. Turner; Zorana Jovanovic Andersen; Maria Neira; Michal Krzyzanowski; Ebba Malmqvist; Alberto González Ortiz; Gregor Kiesewetter; Klea Katsouyanni; Bert Brunekreef; Erik Melén; Petter Ljungman; Margherita Tolotto; Francesco Forastiere; Paul Dendale; Richard Price; Ole Bakke; Sibylle Reichert; Gerard Hoek; Göran Pershagen; Annette Peters; Xavier Querol; Anna Gerometta; Evangelia Samoli; Iana Markevych; Romain Basthiste; Haneen Khreis; Pallavi Pant; Mark Nieuwenhuijsen; Jason D. Sacks; Kjeld Hansen; Thomas Lymes; Anne Stauffer; Gary W. Fuller; Hanna Boogaard; Barbara Hoffmann;pmid: 37827574
Ambient air pollution is a major public health concern and comprehensive new legislation is currently being considered to improve air quality in Europe. The European Respiratory Society (ERS), Health Effects Institute (HEI), and International Society for Environmental Epidemiology (ISEE) organised a joint meeting on May 24, 2023 in Brussels, Belgium, to review and critically evaluate the latest evidence on the health effects of air pollution and discuss ongoing revisions of the European Ambient Air Quality Directives (AAQDs). A multi-disciplinary expert group of air pollution and health researchers, patient and medical societies, and policy representatives participated. This report summarises key discussions at the meeting.
Jagiellonian Univers... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2023Data sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1183/13993003.01380-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 1visibility views 1 download downloads 1 Powered bymore_vert Jagiellonian Univers... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2023Data sources: Spiral - Imperial College Digital Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1183/13993003.01380-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2022 Austria GermanPublisher:Institut für Makroökonomie und Konjunkturforschung (IMK) Raza, Werner G.; Tröster, Bernhard; Madner, Verena; Mayr, Stefan; Hollaus, Birgit;handle: 10419/264313
Im Rahmen dieser Studie wird der Vorschlag der EU-Kommission für ein CO2-Grenzausgleichssystem (CBAM) einer ökonomischen sowie rechtlichen Analyse unterzogen. Die Analyse des CBAM-Vorschlags zeigt, dass sowohl hinsichtlich der Frage der Effektivität als auch im Hinblick auf die WTO-Kompatibilität des CBAM gewisse Problembereiche bestehen. Wenngleich eine Ergänzung des Emissionshandelssystems der EU grundsätzlich notwendig ist, ergeben sich aus dem CBAM-Vorschlag der Europäischen Kommission Risiken; vor allem aus dem beschränkten Anwendungsbereich des CBAM auf Grundstoffe und Grunderzeugnisse sowie im Hinblick auf seine Vereinbarkeit mit zentralen WTO-Prinzipien (Meistbegünstigungsgrundsatz, Inländerbehandlung). Anstelle einer technisch komplexen und WTO-rechtlich problematischen Ausweitung des Anwendungsbereichs des CBAM empfiehlt die Studie, die Effektivität des Mechanismus auf indirektem Wege zu steigern und ihn um nicht-preisbasierte Instrumente mit Schwerpunkt auf transformativer Forschungs- und Innovationsförderung zu ergänzen. Die Zweckwidmung der CBAM-Erlöse für eine große EU-Mission zur Förderung neuer und energiesparender Produktionstechnologien sowie die Förderung des Technologietransfers in Länder des Globalen Südens könnten dabei einen wichtigen Beitrag leisten.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10419/264313&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10419/264313&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Report 2021 GermanyPublisher:Copernicus GmbH Anne Schucknecht; Bumsuk Seo; Alexander Krämer; Sarah Asam; Clement Atzberger; Ralf Kiese;Grasslands are an important part of pre-Alpine and Alpine landscapes. Despite the economic value and the significant role of grasslands in carbon and nitrogen (N) cycling, spatially explicit information on grassland biomass and quality is rarely available. Remotely sensed data from unmanned aircraft systems (UASs) and satellites might be an option to overcome this gap. Our study aims to investigate the potential of low-cost UAS-based multispectral sensors for estimating above-ground biomass (dry matter, DM) and plant N concentration. In our analysis, we compared two different sensors (Parrot Sequoia, SEQ; MicaSense RedEdge-M, REM), three statistical models (linear model; random forests, RFs; gradient-boosting machines, GBMs), and six predictor sets (i.e. different combinations of raw reflectance, vegetation indices, and canopy height). Canopy height information can be derived from UAS sensors but was not available in our study. Therefore, we tested the added value of this structural information with in situ measured bulk canopy height data. A combined field sampling and flight campaign was conducted in April 2018 at different grassland sites in southern Germany to obtain in situ and the corresponding spectral data. The hyper-parameters of the two machine learning (ML) approaches (RF, GBM) were optimized, and all model setups were run with a 6-fold cross-validation. Linear models were characterized by very low statistical performance measures, thus were not suitable to estimate DM and plant N concentration using UAS data. The non-linear ML algorithms showed an acceptable regression performance for all sensor–predictor set combinations with average (avg; cross-validated, cv) Rcv2 of 0.48, RMSEcv,avg of 53.0 g m2, and rRMSEcv,avg (relative) of 15.9 % for DM and with Rcv,avg2 of 0.40, RMSEcv,avg of 0.48 wt %, and rRMSEcv, avg of 15.2 % for plant N concentration estimation. The optimal combination of sensors, ML algorithms, and predictor sets notably improved the model performance. The best model performance for the estimation of DM (Rcv2=0.67, RMSEcv=41.9 g m2, rRMSEcv=12.6 %) was achieved with an RF model that utilizes all possible predictors and REM sensor data. The best model for plant N concentration was a combination of an RF model with all predictors and SEQ sensor data (Rcv2=0.47, RMSEcv=0.45 wt %, rRMSEcv=14.2 %). DM models with the spectral input of REM performed significantly better than those with SEQ data, while for N concentration models, it was the other way round. The choice of predictors was most influential on model performance, while the effect of the chosen ML algorithm was generally lower. The addition of canopy height to the spectral data in the predictor set significantly improved the DM models. In our study, calibrating the ML algorithm improved the model performance substantially, which shows the importance of this step.
Biogeosciences (BG) arrow_drop_down DLR publication serverOther literature type . Preprint . 2021 . 2022 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2021-250&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!more_vert Biogeosciences (BG) arrow_drop_down DLR publication serverOther literature type . Preprint . 2021 . 2022 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2021-250&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu