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YSM Issue 94.1

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FOCUS

Environmental Science

UP IN

FLAMES

Retrieving clues about air pollution from forest fires

BY ANAVI UPPAL

Orange skies and choking smoke

covered California last summer.

Wildfires aren’t rare in this state,

but climate change has been making them

increasingly severe—2020 was the worst

Californian wildfire season on record. Recent

research on wildfire patterns can offer insight

into what kinds of pollutants they release into

the atmosphere and may tell us more about

how they impact our health and our planet.

Researchers from the Department of

Chemical and Environmental Engineering

at Yale University found that forest fire

emissions evolve in surprising ways over

time. Associate professor Drew Gentner

and his lab focus on studying air quality

and atmospheric chemistry, particularly

the chemical transformations that organic

compounds undergo in the atmosphere, and

what their ultimate impact might be. The

Gentner lab collaborated with Environment

and Climate Change Canada to take part in a

flight campaign that focused on studying oil

sands emissions in Canada.

The team’s goal was to sample a

forest fire’s emissions to study how the

composition of its smoke plume evolved

over time and distance. “Forest fires are an

important factor in global air quality and

the air quality of local regions, so the field

is conducting more and more projects to

study wildfire smoke,” Gentner said.

Catching Fire

The flight campaign—an airplanebased

measurement program—was

initially focused on studying oil

sands emissions and not forest fires.

But when a forest fire coincidentally

erupted during the campaign, a plane

was quickly dispatched to sample its

emissions. “I think it was in the back of

their mind that, if this happens, we're

going to go, and once they heard about

it they capitalized on the opportunity,”

said Jenna Ditto, a former doctoral

student at Yale in the Gentner lab. “This

type of sampling definitely needs quick

thinking, and you have to be ready.”

The aircraft flew in zig-zag lines called

transects along the emission plume as

it traveled downwind and sampled it in

five different places. Sample one was

taken closest to the fire, while sample

five was the farthest. The farther that the

sample was from the wildfire, the older

those emissions were.

The plane was outfitted with

instrumentation that measured gases,

particles, and weather conditions in

real time, while also collecting offline

samples for later laboratory analysis.

These offline samples were collected on

small filters or glass tubes filled with

absorbent materials that trap a mixture

of compounds from the atmosphere.

Once collected, the samples were

frozen at around negative thirty degrees

Celsius to prevent chemical reactions

from altering them during storage. When

the team did an initial compound class

analysis to see what materials they were

dealing with, they found a surprising

result: the quantity of compounds

called CHONS—which contain carbon,

hydrogen, oxygen, nitrogen, and sulfur—

increased in particle-phase samples taken

the furthest from the forest fire. “We saw

that and thought: that's very interesting,

we've never seen this before. Why is

that happening? Let’s look more into the

functional groups,” Ditto said. Compound

class analysis is usually done as just a first

step to get a sense for what the data looks

like, but it fortuitously led the team to

some interesting results.

12 Yale Scientific Magazine March 2021

www.yalescientific.org

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