A State of the Science Review of Wildfire-Specific Fine Particulate Matter Data Sources, Methods, and Models
Ava Orr, Claire E. Adam, Jon Graham, Zachary A. Holden, Lu Hu, Zeina Jaffar, Cindy S. Leary, Christopher T. Migliaccio, Katrina Mullan, Curtis W. Noonan, Erin O. Semmens, S. P. Urbanski, Ethan S. Walker, Erin L. Landguth
Abstract
BACKGROUND: ) are needed for advancing health research, policymaking, and environmental protection. OBJECTIVE: , aiming to improving accuracy and accessibility for health research, policy development, and environmental management strategies. METHODS: estimates for California in 2010 (low fire activity) and 2018 (high fire activity), focusing on Los Angeles (densely monitored) and Modoc (no monitors) counties. Analyses included Pearson correlation, cross-correlation, and Granger causality to assess temporal relationships and consistency. RESULTS: estimates. CONCLUSIONS: increased with wildfire activity. However, limited publicly available datasets hinder comprehensive comparisons and generalizations for health research and outcomes. https://doi.org/10.1289/EHP15672.