@article{66c032b5783f421f9fce6fd467324dfe,
title = "An ensemble-based model of PM2.5 concentration across the contiguous United States with high spatiotemporal resolution",
keywords = "Fine particulate matter (PM2.5), Ensemble model, Neural network, Gradient boosting, Random forest",
author = "Qian Di and Heresh Amini and Liuhua Shi and Itai Kloog and Rachel Silvern and James Kelly and Sabath, {M. Benjamin} and Christine Choirat and Petros Koutrakis and Alexei Lyapustin and Yujie Wang and Mickley, {Loretta J.} and Joel Schwartz",
year = "2019",
month = sep,
doi = "10.1016/j.envint.2019.104909",
language = "English",
volume = "130",
journal = "Environment international",
issn = "0160-4120",
publisher = "Pergamon Press",
}