abstract objectives 3 2 health & air quality · including aura's ozone monitoring...
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Results
Jalyn Cummings, National Park Service, Shenandoah National Park
Dr. Barkley Sive, National Park Service, Air Resources Division
Dr. Bruce Doddridge, NASA Langley Research Center
Dr. Kenton Ross, NASA Langley Research Center
Aura OMI
Abstract Objectives
Methodology
Study Area
Earth Observations
Acknowledgements
Project Partners
Team Members
Sh
en
an
do
ah
He
alth
& A
ir Q
ua
lity
Monitoring Air Quality in Shenandoah National Park to Address National Park
Service Initiatives
Remotely sensed NO2 exhibited a decrease over time, but ozone and SO2 remainedrelatively constant.
Ozone and SO2 data were not statistically correlated with in situ observations.
Conclusions
NASA Langley Research Center – Summer 2017
Assess spatial and temporal trends in atmospheric pollutant species over Shenandoah National Park
Analyze trends based on monthly, seasonal, and annual time steps
Create a methodology to visual air quality parameters over time
Ellen Bubak
(Project Lead)
Amanda Clayton Doug Gardiner Nicholas Lenfant Julie Terhune
Shenandoah National Park, Virginia
Gases such as ozone (O3), nitrogen dioxide (NO2), and sulfur dioxide (SO2) have
impeded visibility and impacted air health in Shenandoah National Park, one of the
primary attractions of Virginia. Air quality is considered one of the park’s
fundamental resources and is essential to maintaining its significance as a premier
park with world-class views. This project utilized NASA Earth observations,
including Aura's Ozone Monitoring Instrument (OMI), to monitor ozone and
nitrogen dioxide that threaten visibility and plant, animal, water, and human health in
the park. Trend maps were created to assess spatial and temporal trends in pollutant
species over Shenandoah National Park and the surrounding airshed. A methodology
was created to help the National Park Service incorporate remote sensing data into
their management decisions related to park health and air quality concerns. In situ
station data from Big Meadows monitoring station were used to validate the NASA
Earth observations. This information will aid in future decisions related to visitor
education and ecological management in accordance with mandates from the Clean
Air Act, the National Park Service Organic Act of 1916, and the Wilderness Act.
Data Analysis
Correlation Analysis Trend Maps
Data Processing
Monthly & Annual Averages Time Series
Data Acquisition
Aura OMI – Ozone, NO2, SO2 Big Meadows (in situ) – CASTNET
Tropospheric NO2 and total column NO2 were highly correlated.
Remote sensing can provide the park with big-picture, long-term data toforesee trends in air pollutants that affect the park.
0
50
100
150
200
250
300
350
400
2005 2006 2007 2008 2009 2010 2011 2012 2013 2015 2016
Ozo
ne
(DU
)
OMI Monthly O3 Average over Shenandoah
Jan Feb Mar Apr May June July Aug Sept Oct Nov Dec
January NO2 Concentrations
20162014
20092005
0
1E+15
2E+15
3E+15
4E+15
5E+15
6E+15
7E+15
8E+15
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Mo
lecu
les/
cm2
Annual NO2 Averages
Total Column Tropospheric
Molecules/cm2
High: 3.95e+016
Low: 0
Ozone Nitrogen and Sulfur Dioxides
-0.15
-0.05
0.05
0.15
0.25
0.35
0.45
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
Parts p
er billio
n (p
pb
)
Do
bso
n U
nit
s (D
U)
Annual SO2 Averages
OMI SO2 Data (D.U.) Big Meadows SO2(ppb)
0
10
20
30
40
50
60
70
0
50
100
150
200
250
300
350
400
Parts p
er billio
n (p
pb
)Do
bso
n U
nit
s (D
U)
Annual O3 Averages
OMI Observations Ground-level Observations OMI Observations Ground-level Observations
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 20162005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
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