Time Series of Potential US Wildland Fire Smoke Exposures

Frontiers in Public Health

article

Jason A. Vargo¹ 

[1] California Department of Public Health, Climate Change and Health Equity Program, United States

关键词: exposure;    air pollutants;    climate change;    wildfire;    smoke;    remote sensing;   

DOI  :  10.3389/fpubh.2020.00126

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

As the threats of climate change become more immediate and persistent, there is a growing needfor datasets to document the burden of climate-related events and exposures on human healthover time. These data should be freely available, timely and long-running, spatially resolved, andconsistent. This data report presents a new dataset for understanding the potential burden ofsmoke related to wildland fires (wildfires) on communities across the United States since 2010.The dataset combines data from the National Oceanic and Atmospheric Administration’s (NOAA)Office of Satellite and Product Operations Hazard Mapping System’s Smoke Product (HMS Smoke)with United States Census Block Group Centers of Population to estimate potential exposures tolight, medium, and heavy categories of wildfire smoke. The result is a daily assignment of eachof the 220,334 2010 U.S Block Groups for each of the HMS Smoke categories and includes 2010Census population counts. This database can be used to identify populations potentially exposed towildfire smoke on a given day or to calculate the potential person-days of wildfire smoke exposurefor a specified period or spatial unit of interest. Using state, county or tract identifiers included inthe database, aggregation to these familiar units of the US Census topology can be accomplishedwithout the use of a geographic information system (GIS). This data report describes the datasetscombined to produce this potential wildfire exposure database and outlines some basic use casesand ideas for future work.

【 授权许可】

CC BY