Work

Accurate PM2.5 urban air pollution forecasting using multivariate ensemble learning Accounting for evolving target distributions

Year: 2024

Type: article

Abstract: forecasting models developed for HCMC. In addition, we analyze to determine the contribution of different feature groups to model performance. The model can serve as a reference for citizens scheduling local travel and for healthcare providers to provide early warnings.

Source: Chemosphere

DOI: 10.1016/j.chemosphere.2024.143097

Authors: Rajnish Rakholia, Quan Le, Khue Vu, Bang Quoc Ho, Ricardo Simon Carbajo

Institutions: University College Dublin, Viện Môi trường và Tài nguyên, Vietnam National University Ho Chi Minh City

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,760