Projects funded by the NCN
Improving the modelled PM2.5 and PM10 concentrations through application of the Geographically Weighted Regression methods (AQ-GWR)
2020/39/B/ST10/01174
Keywords:
air quality modelling particulate matter geographically weighted regression
Descriptors:
- ST10_001:
- ST10_012:
- ST10_002:
Panel:
ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection
Host institution :
Uniwersytet Wrocławski, Wydział Nauk o Ziemi i Kształtowania Środowiska
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 5
Call: OPUS 20 - announced on 2020-09-15
Amount awarded: 542 778 PLN
Project start date (Y-m-d): 2021-06-23
Project end date (Y-m-d): 2025-06-22
Project duration:: 48 months (the same as in the proposal)
Project status: Project completed
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (1)
- Using random forest to improve EMEP4PL model estimates of daily PM2.5 in PolandAuthors:Vovk T., Kryza M., Werner M.Academic press:Atmospheric Environment (rok: 2024, tom: 332, strony: 45672), Wydawca: ElsevierStatus:PublishedDOI:10.1016/j.atmosenv.2024.120615 - link to the publication