Researchers from the Environmental Health Sciences Center (EHSC) are working with Northern California communities to study the impact smoke and burned debris have had on survivors of the fires that swept through Napa, Sonoma and other counties in October and November of 2017.
These fires were unique because they burned manmade structures, which scientists believe could have an impact on the health of people differently than “natural” wildfires that burn trees, grass and other plants.
“We know what [natural] wildfire smoke is composed of, but we have no idea what will be in this. We expect it to be very different,” says Keith Bein, a scientist at the UC Davis Air Quality Research Center.
WHAT NOW California: A study in urban wildfires
EHSC’s study is called “Wildfires and Health: Assessing the Toll in NOrthWest California” (WHAT NOW California). Leading the research team is Irva Hertz-Picciotto, director of EHSC and a professor of public health sciences at UC Davis. About a dozen other scientists will be involved in the study with Hertz-Picciotto.
EHSC scientists have collected samples of air and ash from affected areas in Northern California, and also are gathering information about residents’ experiences during and in the immediate aftermath of the fires through an online survey. They're also enrolling new moms and moms-to-be in a study to better understand the health impact on pregnant women and children.
In collecting this data, EHSC and its scientists hope to accomplish several things:
- Understand how people are affected by exposure to smoke and combustion of chemicals in urban wildfires
- Protect the public’s health during the recovery in Northern California
- Prevent health problems related to wildfires in the future
WHAT NOW California receives funding from the UC Davis Environmental Health Sciences Center, which is sponsored by the National Institute of Environmental Health Sciences.
Image credit for the Home page: 2017 Northern California wildfires as seen from outer space. Contains modified Copernicus Sentinel data CC BY-SA 3.0-igo, via Wikimedia Commons.