Daily Concentrations of PM2.5 in the Valencian Community Using Random Forest for the Period 2008–2018
| Autor: | Soledad Natacha Represa, Jesús Palomar-Vázquez, Andrés Porta, Alfonso Fernández-Sarría |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Proceedings, Vol 19, Iss 1, p 13 (2019) |
| Druh dokumentu: | article |
| ISSN: | 2504-3900 20190190 |
| DOI: | 10.3390/proceedings2019019013 |
| Popis: | Fine particulate matter (PM2.5) is a global problem that affects the population health and contributes to climate change. Remote sensing provides useful information for the development of air quality models. This work aims to obtain a daily model of PM2.5 levels in the Valencian Community with a resolution of 1 km for the period 2008−2018. MODIS-MAIAC images, meteorological parameters of the MERRA-2 project, land cover information and ground level measurements of PM2.5 levels were analysed with Random Forest. The verification of the model was carried out using cross-validation repeated ten times, and an evaluation of a test set with 20% of the collected information. The final model was used to generate maps of the daily concentrations of PM2.5 for the area of the Valencian Community throughout the study period. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|