Investigation of Decadal Changes in Aerosol and AsthmaInvestigation of Decadal Changes in Aerosol and Asthma

Sponsors:National Aeronautics and Space Administration (NASA)NASA Goddard Space Flight Center (GSFC)NASA Goddard Institute for Space Studies (GISS)NASA New York City Research Initiative (NYCRI)Columbia UniversityContributors:[Team P.I.1] Dr. Barbara Carlson [Team P.I.2] Dr. James Frost [HS Teachers and Educators] Maria Grech [Undergraduate Students] Carimaxy Benitez [NYCRI Apprentices] Allison Bostrom[NYCRI Apprentices] Jesse Lieman-Sifry

Abstract: Aerosols, particles of various size and composition suspendedthroughout our atmosphere, affect both the climate and our health.The amount emitted by both anthropogenic and natural sources changes with time, contributing to the variability of the aerosol. Changes in aerosol composition and size alter the aerosol single scattering albedo (SSA), a measure of how much light is reflected by the aerosol. We observed a decrease in SSA at three locations on the eastern seaboard, and believe sub-micron elemental carbon (EC) may be responsible for this change. In addition to their climatic impact, aerosols can also have adverse health effects. Studies inquiring into the relationship between air pollution and asthma have yielded conflicting results. Differences in size distribution and composition may have more of an effect on asthma than simply the concentration of the aerosol.

Procedure:• We correlated changes in aerosol composition and size with changes in the aerosol SSA and aerosol optical thickness (AOT) at CCNY, GSFC, and the Maryland Science Center. • We compared asthma related ER visits with PM10 and PM2.5 data

% Sulfate vs Nitrate of PM2.5 at IS52

0%10%20%30%40%50%60%70%

2002

-01-

02

2002

-05-

08

2002

-09-

08

2003

-01-

09

2003

-05-

12

2003

-09-

12

2004

-01-

13

2004

-05-

15

2004

-09-

15

2005

-01-

19

2005

-05-

22

2005

-09-

22

2006

-01-

23

2006

-05-

29

2006

-09-

29

2007

-01-

30

2007

-06-

02

2007

-10-

03

2008

-02-

06

2008

-06-

08

2008

-10-

09

Date

Per

cen

t

% Sulfate of PM2.5

% Nitrate of PM2.5

10 per. Mov. Avg. (%Sulfate of PM2.5)

10 per. Mov. Avg. (%Nitrate of PM2.5)

Figure 1 Comparison of the time series of aerosol nitrate, sulfate (right panel, note annual cycle) and carbon (left panel, note effect of one-time events) mass fraction.

Elemental Carbon PM2.5 vs. Organic Carbon PM2.5

0

510

15

20

2530

35

40

2000-1

2-0

5

2001-0

3-1

7

2001-0

9-0

7

2001-1

2-2

4

2002-0

4-0

8

2002-0

7-1

9

2002-1

0-2

9

2003-0

2-0

8

2003-0

5-2

1

2003-0

8-3

1

2003-1

2-1

1

2004-0

3-2

2

2004-0

7-0

2

2004-1

0-1

2

2005-0

1-2

5

2005-0

5-0

7

2005-0

8-1

7

2005-1

1-2

7

2006-0

3-0

9

2006-0

6-2

2

2006-1

0-0

2

2007-0

1-1

2

2007-0

4-2

4

Date

Co

ncen

trati

on

(u

g/m

^3)

I

ElementalCarbon

OrganicCarbon

Figure 4. shows seasonal variations in asthma for adults over the age of 24. Peaks occur in the winter and early spring with a trough in the summer. http://www.ersj.org.uk

Discussion: The IMPROVE and AERONET data suggest changes in aerosol composition consistent with an increase in aerosol absorption but the mass match between the size of the dominant aerosol between measures of aerosol mass (dominated by the larger, micron-sized particles) and atmospheric extinction (dominated  by sub-micron particles) suggest that a better,  more relevant measure of composition be used to track aerosol changes....two possibilities would be analysis of the newer ultra-fine particle measurements being made at some sites by the EPA and polarimetric measurements of aerosol which permit the retrieval of aerosol refractive index.

Over the last few decades, numerous studies have been conducted todiscern a correlation between particulate matter and asthma. One suchstudy was the Six Cities Study, in which mortality rates from air pollution in six U.S. cities were collected. It suggested that fine particulate matter was responsible for asthma related deaths. However, other studies find no correlation between air pollution and asthma.  Because of this, more recent studies have looked for a link between the composition of the aerosol and asthma.

Materials:• EPA data from: http://www.epa.gov/air/index.html• IMPROVE speciation data from: http://views.cira.colostate.edu/web/• Asthma ER data for various U.S. cities from: http://www.cdc.gov/• AERONET data from: http://aeronet.gsfc.nasa.gov

Figure 5. shows monthly nitric oxide averages in the Los Angeles basin.  These troughs and peaks are similar to the seasonal trends in adult asthma, suggesting a possible correlation.http://www.inchem.org

Total Suspended Particulates (TSP) vs PM10

0

2

4

6

8

10

12

14

16

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000

Year

An

nu

al M

ean

Co

nce

ntr

atio

n (

ug

/m^

3)

TSP Greenpoint

Greenpoint Nitrate

Greenpoint Sulfate

Linear (TSPGreenpoint )Linear (GreenpointNitrate )Linear (GreenpointSulfate )

Figure 2. shows that as TSP is decreasing as PM10 is increasing.

Results: In our investigation of temporal changes in aerosol we used a combination of EPA measurements of aerosol mass and mass composition for three sizes: Total Suspended Particulates (TSP) of all sizes; particulate matter less than ten microns in diameter (PM10) and particle matter less than 2.5 microns in diameter (PM2.5), as well as aerosol extinction as measured by the CIMEL sunphotometers as part of the AERONET network.  We find, as shown in Figure 2, that the different sized particles have different temporal trends, reflecting time changes in aerosol source/emission strengths.  In addition to changes in aerosol size with time, we found that the composition of the aerosol, as measured by aerosol mass speciation, is changing.  These changes in aerosol composition suggest that the SSA of the aerosol may also be changing. To investigate this, we examined the SSA data available through the AERONET data set.  We find, as shown in Figure 3, that SSA is changing with time.  Since SSA is a measure of aerosol scattering, a decreasing trend suggests an increase in aerosol absorption.  We examined the aerosol mass speciation data available from the IMPROVE network for PM2.5 and found a weak positive trend in the elemental carbon mass fraction which is consistent with the SSA trend.No correlation was found between PM10 and PM2.5 levels and asthma in New York or other U.S. cities, but the seasonal variations in asthma show a possible correlation with monthly nitric oxide levels.

Figure 6. shows the data from GSFC and Maryland Science Center derived from two different instruments. At the GSFC, a CIMEL sun photometer was used, while at the Maryland Science Center a polarimeter was utilized. The data are consistent.

Figure 3. Time series of retrieved aerosol spectral single scattering albedo for CCNY, GSFC, and the Maryland Science Center.  Dashed lines are linear trend lines fitted to the data.

Introduction: Aerosol particles range in size, but the focus of our research is particles ranging from 0.1 microns to ten microns. Most aerosols exist in the troposphere and are washed out of the atmosphere within a week by rain, but some, such as volcanic aerosols, are injected directly into the stratosphere, where their residence time is longer. Aerosols are classified into two groups based on their climatic effects: those that reflect incoming radiation, cooling the atmosphere, and those that absorb it, warming the atmosphere. This can be attributed mostly to their chemical composition. Of particular interest in our research is the extent to which EC affects the aerosol SSA, as EC is highly absorptive.