Assessing NO(2) Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging

NO(2) is a combustion byproduct that has been associated with multiple adverse health outcomes. To assess NO(2) level with high accuracy, we propose an ensemble model to integrate multiple machine learning algorithms, including neural network, random forest, and gradient boosting, with a variety of...

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Xehetasun bibliografikoak
Argitaratua izan da:Environ Sci Technol
Egile Nagusiak: Di, Qian, Amini, Heresh, Shi, Liuhua, Kloog, Itai, Silvern, Rachel, Kelly, James, Sabath, M. Benjamin, Choirat, Christine, Koutrakis, Petros, Lyapustin, Alexei, Wang, Yujie, Mickley, Loretta J., Schwartz, Joel
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2020
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7065654/
https://ncbi.nlm.nih.gov/pubmed/31851499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.9b03358
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