Work

Machine Learning Methods for Statistical Prediction of PM2.5 in Urban Agglomerations with Complex Terrain, Using Grenoble As an Example

Year: 2024

Type: article

Source: Moscow University Physics Bulletin

DOI: 10.3103/s0027134924702242

Authors: A. I. Suslov, M. A. Krinitskiy, C. Staquet, E. Le Boudec

Institutions: Russian Academy of Sciences, Institute of Oceanology. PP Shirshov Russian Academy of Sciences, Moscow Institute of Physics and Technology, Université Grenoble Alpes

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4408724194

FWCI: 0.354

Cites: 15

Cited by: 3

Related to: 10