Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment

Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment

Large wildfires are an increasing threat to the western U.S. In the 2017 fire season, extensive wildfires occurred across the Pacific Northwest (PNW). To evaluate public health impacts of wildfire smoke, we integrated numerical simulations and observations for regional fire events during August-Sept...

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Bibliographic Details
Main Authors: Yufei Zou, Susan M. O’Neill, Narasimhan K. Larkin, Ernesto C. Alvarado, Robert Solomon, Clifford Mass, Yang Liu, M. Talat Odman, Huizhong Shen
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:International Journal of Environmental Research and Public Health
Subjects:
fire smoke modeling
PM<sub>2.5</sub> air pollution
machine learning-based data fusion
health impact assessment
Online Access:https://www.mdpi.com/1660-4601/16/12/2137

Internet

https://www.mdpi.com/1660-4601/16/12/2137

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