Cargando…
Using Machine Learning to Estimate Global PM(2.5) for Environmental Health Studies
With the increasing awareness of health impacts of particulate matter, there is a growing need to comprehend the spatial and temporal variations of the global abundance of ground-level airborne particulate matter (PM(2.5)). Here we use a suite of remote sensing and meteorological data products toget...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Libertas Academica
2015
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431482/ https://www.ncbi.nlm.nih.gov/pubmed/26005352 http://dx.doi.org/10.4137/EHI.S15664 |