Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Fabian Lenartz"'
Autor:
Martin Otto Paul Ramacher, Ronny Badeke, Lea Fink, Markus Quante, Matthias Karl, Sonia Oppo, Fabian Lenartz, Marie Dury, Volker Matthias
Publikováno v:
Atmospheric Environment: X, Vol 22, Iss , Pp 100264- (2024)
This study investigates the effects of significant activity changes on air pollutant concentrations across the three European cities Hamburg, Liège, and Marseille and focuses on the effects of COVID-19 lockdown measures as a case study for such sign
Externí odkaz:
https://doaj.org/article/892b4a5183a44c388e0e891208b66039
Publikováno v:
Air Pollution Modeling and its Application XXVIII ISBN: 9783031127854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64e622ad588c0db07dad844e8c7f0a95
https://doi.org/10.1007/978-3-031-12786-1_25
https://doi.org/10.1007/978-3-031-12786-1_25
Autor:
Fabian Lenartz, Marie Dury, Valery Broun, Virginie Hutsemékers, Christophe Brose, Sylvain Guichaux, Benjamin Bergmans
Publikováno v:
Frontiers in Sensors. 2
The increasing availability of low-cost sensors and open source projects make it easier than ever for a maker to build his own air quality node. Nonetheless, depending on one’s goal and its related data quality objective, to customize an existing p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3321c08570af6397008ad247699e1d64
https://doi.org/10.3389/fsens.2021.679908
https://doi.org/10.3389/fsens.2021.679908
Autor:
Filip Lefebre, E. Hallot, Nathalie Stephenne, Eléonore Wolff, Lien Poelmans, Benjamin Beaumont, Dirk Lauwaet, Fabian Lenartz
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4 (1W1
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-1-W1, Pp 149-156 (2017)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-1-W1, Pp 149-156 (2017)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Risk situation can be mitigated by prevention measures, early warning tools and adequate monitoring of past experiences where Earth Observation and geospatial analysis have an adding value. This paper discusses the potential use of Earth Observation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::992b74cafa1a097b791f1f5fd9e53556
https://doi.org/10.5194/isprs-annals-iv-1-w1-149-2017
https://doi.org/10.5194/isprs-annals-iv-1-w1-149-2017
Publikováno v:
Springer Proceedings in Complexity ISBN: 9783030220549
Commonly, population exposure is evaluated by crossing data of atmospheric pollution and population density maps. The former are usually actual measurements or simulated concentrations; depending on the approach or the model resolution, very differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f420f8fd4dbee2836824be0246dcf8
https://doi.org/10.1007/978-3-030-22055-6_75
https://doi.org/10.1007/978-3-030-22055-6_75
Publikováno v:
Air Pollution Modeling and its Application XXV ISBN: 9783319576442
Ordinary kriging is a widely used method to estimate the spatial distribution of atmospheric pollutants at all scales. However, more sophisticated strategies exist. For local mapping, where one often focuses on pollutants with a high spatio-temporal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90651fa76e1c4a1ca740107fcc3c46be
https://doi.org/10.1007/978-3-319-57645-9_37
https://doi.org/10.1007/978-3-319-57645-9_37
Publikováno v:
Springer Proceedings in Complexity ISBN: 9783319244761
Mobile measurements of black carbon are made in the city center of Liege (Belgium) to evaluate the contribution of this, not yet regulated pollutant, to the ambient air particulate matter level. By means of the CANSBC model, we intend to determine th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be15e659234ad2190f5a13d4fb8e37c
https://doi.org/10.1007/978-3-319-24478-5_65
https://doi.org/10.1007/978-3-319-24478-5_65
Autor:
Jean-Marie Beckers, Fabian Lenartz, Mohamed Ouberdous, Arthur Capet, Aida Alvera-Azcárate, Pierre Brasseur, Jean-Michel Brankart, Marie-Eve Toussaint, Charles Troupin, Michel Rixen, Damien Sirjacobs, M. Belounis, Alexander Barth
Publikováno v:
Ocean Modelling. :90-101
The Data Interpolating Variational Analysis (DIVA) is a method designed to interpolate irregularly-spaced, noisy data onto any desired location, in most cases on regular grids. It is the combination of a particular methodology, based on the minimisat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4466b11dfdf4e3becac415618e3c8edf
https://doi.org/10.1016/j.ocemod.2012.05.002
https://doi.org/10.1016/j.ocemod.2012.05.002
Autor:
Jacopo Chiggiato, Baptiste Mourre, Fabian Lenartz, Charles Troupin, Jean-Marie Beckers, Luc Vandenbulcke, Michel Rixen
Publikováno v:
Ocean Science, Vol 6, Iss 2, Pp 595-604 (2010)
Nowadays, several operational ocean wave forecasts are available for a same region. These predictions may considerably differ, and to choose the best one is generally a difficult task. The super-ensemble approach, which consists in merging different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff5e73ccb4dd389caaa38d76ab634b2
https://doi.org/10.5194/os-6-595-2010
https://doi.org/10.5194/os-6-595-2010