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U.S. Environmental Protection Agency
Office of Research and Development,

National Exposure Research Laboratory,

Environmental Sciences Division, Research Triangle Park, No. Ca.

rV \/A Assemble/Acquire Data

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ReVA takes monitoring data (e.g. EMAP and other) and develops spatially explicit models that estimate
condition, vulnerability, or exposure for every point on the map. This allows us to focus on specific sites
for risk management activities, targeting limited resources to maximize efficiency and effectiveness.

ReVi is...

www.epa.gov/reva

Synthesizing monitoring
data and model results to target
risk management activities

Developing a flexible integration
framework that can be used in any
region, with any data, at any scale

Estimating condition and exposure
for every point on the map

Ranking relative vulnerabilities,
current and future

Enabling trade-off analyses through
"what if scenarios

Informing diagnosis of causality

Linking environmental health with
fiscal and human health

Working directly with clients

t|

m

Point of Contact:

Elizabeth R.Smith,Ph.D.,
ReVA Director
919/541-0620

On Resource Sensitivity

I 0.014-0.021
I 0.021 - 0.025
I 0.025 - 0.029
1 0.029 - 0.031
0.031 -0.036
I 0.036 - 0.044
I 0.044 - 0.052

Forest Health Monitoring
Plot Grid

percent unemployment by county

percent unemployment by watershed

number of reptiles and amphibians
by EMAP hex

On Stressor Distributions

1 0

I 0.0001 - 0.001
I 0.0011 -0.01
0.0101-0.05
I 0.0501 - 0.1
I 0.1001 -0.4055

I 0.0001 -4.4179
I 4.4179-6.7824
6.7824 -15.4604
15.4604-104.8637
104.8637-1452.6213
I 1452.6213 - 83004.4292

estimated forest defoliation
by watershed

sulfate wet deposition
by modeled grid

I 13.305 -17.344
I 17.344-19.93
19.93-22.123
22.123 - 25.18
I 25.18-29.756

number of reptiles and
amphibians by watershed

sulfate wet deposition

by watershed j-xs/ \

I 19.148-119.104
I 119.104
I 232.203
¦ 321.665

use of agricultural chemicals by county use of agricultural chemicals by watershed

Develop Future Scenarios

Land Use Change

"What we need is for some
agency or some organization...
to synthesize all the various
information that's available to us.
We don't lack information,
we just lack consolidation
of the information."

Projected population growth along with
associated changes in land use and
pollutant loadings will be used to forecast
environmental impacts apt to result from
alternative policy decisions.

ReVA is working directly with clients to
develop a suite of future scenarios that
depict the environmental implications of
different management alternatives.

Annual Population Growth Rate
Mid-Atlantic Study Area
1990-1995

Air pollution spreads across the
landscape, affecting regional air quality.

Emerging	Tec

Integrate Information
and Communicate
Current Vulnerabilities

Vulnerability Indices

Radar Plots

TTSS

ntegration
Methods

Spatial overlap
Quintiles

Multivariate methods
Shift in state space
Weighted average
Matrix methods
Visualization methods
Decision theoretic methods
Combination of multiple methods

I Rank 1 (Cluster 4)
1 Rank 2 (Cluster 9)
I Rank 2 (Cluster 8)
Rank 3 (Cluster 7)
Rank 3 (Cluster 2)
I Rank 4 (Cluster 1)
I Rank 5 (Cluster 3)
I Rank 6 (Cluster 5)
I Rank 7 (Cluster 6)
Not included

&
Jl

Integrate
Information
and Communicate
Future

Vulnerabilities

Input into

Decisions Affecting ...

¦	Nonpoint-source pollution in water

¦	Increased sediment/nutrient loadings

¦	Acid mine drainage

¦	Allocation of TMDLs

¦	Drinking water quality and supply

¦	Increased risk of flooding

¦	Urban sprawl/quality of life

¦	Fiscal health

¦	Economic opportunities

¦	Future risks to human health

¦	Conservation of native biodiversity

¦	Pests and pathogens in forests

¦	Fragmentation of forests

¦	Forest health and productivity

¦	Cumulative impacts of multiple stressors

¦	Restoration priorities

Future Scenarios
of Nitrogen Loadings
Based on Landscape

Alternative Scenarios of
Environmental Vulnerability

Current conditions

~

0.989-1.812 '



:

1.812-2.738



	j

2.738-4.52





4.52-7.356

I	J

7.356 - 16.904j[||^

~

0.74-1.812 4

~

1.812-2.738 1



2.738 - 4.52 1



4.52 - 7.356 J

I"	J

7.356-13

Low Vulnerability
ffl® Medium Vulnerability
High Vulnerability

10% decrease in riparian forest

| 1.304-1.812
"HI 1.812-2.738
¦ 2.738-4.52
H 4.52-7.356
H 7.356-23

10% increase in riparian forest

Expected Products

Decision-support tools that improve prioritization of environmental issues, risk
reduction strategies, and development of future policies using

¦	GIS, remote sensing, and predictive modeling to forecast changes in
ecosystem resiliency

¦	New indicators to measure cumulative effects and ecosystem vulnerability

¦	Communication methods that illustrate the social and economic trade-offs
associated with alternative decisions

Identification of information and research gaps that limit further improvements to
environmental decision-making

For more

information contact...

Betsy Smith (NERL), smith.betsy@epa.gov

Bruce Jones (NERL), jones.bruce@epa.gov
Jim Wickham (NERL), wickham.james@epa.gov
Laura Jackson (NHEERL), jackson.laura@epa.gov
Jeff Frithsen (NCEA), frithsen.jeff@epa.gov
' Joe Williams (NRMRL), williams.joe@epa.gov

Protect	Hamm	Health


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