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Regional Air Pollution Study
Alissa Dickerson, M.S.
Environmental Specialist
Enviroscientists, Inc.
Goal of Study
Western Regional Air Partnership (WRAP)
http://wrapair.org
Causes of Haze Assessment (COHA)
Goal: provide assessment of Class I areas
through integrated approach
www.coha.dri.edu
2
Overview
Introduction
Methodology
Analysis
Results & Discussion: Case Studies
Summary
3
What is Spatial Representativeness?
Area within which pollutant
concentrations are approximately
constant
Quantitative and qualitative approach to
investigate equivalency of
measurements
4
Why is it important?
Data assessments can determine
dependence and elicit solutions
Comprehensive picture of a complex
system
Tool to assess degree to which
measured concentrations can be
derived from reference points
Optimal network design
5
Why is it Important? (cont.)
Evaluation tool to help more efficiently
in mediation of environmental problems
Understanding regional visibility &
reduction
6
Introduction
Visibility reduction 1977 CAA
USEPA Regional Haze Rule, Final
(40 CFR 51, 1999)
Interagency Monitoring of Protected Visual
Environments = IMPROVE (1985)
5 regional organizations
7
The IMPROVE Network: Objectives
Federally mandated Class I areas
National parks, monuments, wilderness
areas
Identify current conditions of visibility
Determine aerosol species and sources
Document trends
Cultivate representative monitoring
network
8
The IMPROVE Network
163 sites
1-in-3 day
sampling
4 cyclone-based
modules
Coarse mass &
speciated fine
aerosols
9
The Improve Network
bext
visibility
Light Extinction Formula
bext= 3*f(RH)[Sulfate] + 3*f(RH)[Nitrate] +
4*[Organic Carbon] + 10*[Elemental Carbon] +
1*[ Fine Soil] + 0.6*[Coarse Mass]+ 10
Concentrations [ ] Units=μg/m3
Units= Mm-1, proportional to amount of light lost over
distance of 1 million meters
Rayleigh Scattering= 10 Mm-1, proportional 0.0
deciviews or 400 km
10
Research Objectives
Cascade Range
Southern Pacific Rainforests
Superior Upland
North Central Lowland Plains
Northern Great Plains
Columbia Plateau
Central Rocky Mountains
Great Plains
Klamath Mountains
Great Basin
Southern Rocky Mountains
Sierra Nevada Range
California Central Valleys
California Coast Ranges Colorado Plateau
Ouachita and Ozark Plateau
Central Lowland Plains
Southern California Ranges
Southwest DesertsMexican Highlands
Southern Great Plains
West Gulf Coastal and Mississippi Alluvial Plains
Determine spatial
representativeness of
IMPROVE monitorsWRAP
WA, OR, CA, NV, ID,
ND, SD, CO, AZ, NM,
TX
14 Physiographic
Regions
11
Considerations
What are most dominant chemical
species during 20% worst visibility days
within a region?
What are practical statistical and spatial
analysis methods?
How do concentrations vary by season?
12
Considerations
How can expected average concentrations
be determined for a region?
What is a method to test validity?
13
Methodology
Data
1997-2002, 54 monitors w/most complete data
Six aerosol species
Sulfates, nitrates, organic carbon (OC),
elemental carbon (EC), fine soil, coarse mass
(CM)
Focus: Upper 20% of calculated visibility
impairment values or 20% worst visibility days
14
Assumptions
All elemental sulfur is from sulfate ->
ammonium sulfate
All nitrate -> ammonium nitrate
Total organic carbon= C released in four
steps (OC1-OC4) + pyrolized organics (OP)
Thermal Optical Reflectance (TOR) analysis of quartz
filter
15
Assumptions
Elemental carbon (light absorbing carbon) =
EC fractions (EC1-EC3) – pyrolized organics
(OP)
TOR analysis of quartz filter
Fine soil = sum of Al, Si, K, Ca, Ti
particle-induced X-ray emission (PIXE)
& Fe
X-ray fluorescence (XRF)
Coarse mass = total mass - fine mass
16
Analysis Procedures
1) Characterize dynamics of regions
Climate & meteorology: wind patterns &
back-trajectory analysis (transport)
Graphically displays % of time an air mass
spent in an area
Color coded (shading increases w/ residence)
Topography: elevation & intervening
terrain
Emission sources and population centers
17
Analysis Procedures (cont.)
2) Regional spatial correlation analysis:
correlation expected to decrease w/distance
Correlation matrix of aerosol measurements
Distance matrix (km)
Consideration
Correlation of site vs. itself = unity
[Artificial]= uncertainty * random #+measurement
[Artificial] plotted at distance of 0
18
Analysis (cont.)
3) Criteria correlation cut-off = 0.7
Rationalize association between monitoring
sites
Validation of spatial representativeness
4) Seasons
Warm months: April to September
Cold months: October to March
19
Analysis (cont.)
5) Expected average concentrations
density (like temp.) of atmosphere varies w/
altitude
[Estimated] = [aerosol]* site density
density @ sea level
Put conc. into elevation ranges based on natural
breaks, then averaged= regional estimated conc.
Uncertainty= standard deviation of average
concentrations within elevation range (applicable
only with 2 or more sites)
20
Analysis (cont.)
6) Test of representativeness
Analyzed sites within each region
Calculated seasonal average
concentrations
Uncertainty= average measurement
uncertainty
Compared to estimated concentrations
21
3.The Northern Great Plains Region
Characteristics
(E) Montana, (NE) Wyoming, & (W) portions of
North and South Dakota
Terrain: mostly prairie & rolling hills, mix of forest
and grassland
Badlands composed of steep buttes and pinnacles
Sparse population centers
Several coal-fired power plants, west-central ND
22
The N. Great Plains
6-IMPROVE sites
Site Name
Abbreviation
Elevation (m)
Badlands National Park
BADL1
736
Lostwood Wilderness Area
LOST1
692
Medicine Lake Wilderness Area
MELA1
605
Theodore Roosevelt Nat'l Park
THRO1
853
UL Bend Wilderness Area
ULBE1
893
Wind Cave National Park
WICA1
1300
23
Residence Time Analysis WICA1
Warm months
Prevailing winds
SE
Bring in dry air
from SW U.S.
Moist warm air
masses from Gulf
of Mexico
Few inversions
24
Residence Time Analysis MELA1
Cold months
Cold continental
air flowing from
N/NW from
Canada
L system
typical, flushes
atmosphere
25
Aerosol Summary
Average Concentration (ug/m3)
Average Aerosol Concentration During the
20% Worst Visibility Days
18
16
14
CM
12
Soil
10
8
LAC
OMC
6
Nitrate
4
Sulfate
2
0
BADL1
LOST1
MELA1
THRO1
ULBE1
WICA1
26
Aerosol Summary (cont.)
Contribution to Bext (1/Mm)
Average Contribution to Light Extinction During the 20% Worst
Visibility Days
70.0
60.0
CM
50.0
Soil
40.0
LAC
30.0
OMC
Nitrate
20.0
Sulfate
10.0
0.0
BADL1
LOST1
MELA1
THRO1
ULBE1
WICA1
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Estimated Concentration (µg/m3)
Elevation
500-1000m
UNC
1000-1500m
UNC
WARM Months
0.31
0.02
0.26
0.03
COLD Months
0.30
0.03
0.22
0.00
WARM Months
0.21
0.06
0.17
0.05
COLD Months
0.71
0.27
0.34
0.10
WARM Months
1.10
0.15
1.13
0.02
COLD Months
0.52
0.07
0.44
0.01
WARM Months
0.16
0.01
0.16
0.01
COLD Months
0.13
0.01
0.11
0.01
WARM Months
0.78
0.10
0.67
0.03
COLD Months
0.37
0.03
0.29
0.06
WARM Months
7.27
0.61
4.67
0.12
COLD Months
3.27
0.19
2.08
0.12
SO4
NO3
OC
EC
Soil
CM
28
Test Sites
FOPE1 (2yr) NOCH1 (2 yr)
Expected
Elevation
UNC
500-1000m
FOPE1
UNC
638m
Expected
UNC
1000-1500m
NOCH1
UNC
1332m
SO4
WARM Months
0.31
0.02
0.32
0.02
0.26
0.03
0.28
0.01
COLD Months
0.30
0.03
0.29
0.01
0.22
0.00
0.17
0.01
WARM Months
0.21
0.06
0.21
0.03
0.17
0.05
0.20
0.02
COLD Months
0.71
0.27
0.90
0.04
0.34
0.10
0.21
0.01
WARM Months
1.10
0.15
1.08
0.29
1.13
0.02
1.51
0.34
COLD Months
0.52
0.07
0.54
0.17
0.44
0.01
0.33
0.14
WARM Months
0.16
0.01
0.14
0.01
0.16
0.01
0.19
0.02
COLD Months
0.13
0.01
0.10
0.01
0.11
0.01
0.07
0.01
WARM Months
0.78
0.10
0.26
0.02
0.67
0.03
0.28
0.02
COLD Months
0.37
0.03
0.11
0.01
0.29
0.06
0.14
0.01
WARM Months
7.27
0.61
6.62
0.20
4.67
0.12
4.79
0.15
COLD Months
3.27
0.19
2.31
0.09
2.08
0.12
1.72
0.08
NO3
OC
FOPE1
30m elev.
difference
MELA1
[NO3]=0.9
µg/m3
EC
Soil
CM
29
Northern Great Plains
Regional Conclusions
Relatively flat terrain with good
dispersion of air
Atypical stagnation alleviates regional
haze problems during most days
SO4
representative ~ 180km
Colder months show good agreement out
to 700 km
30
Northern Great Plains
Regional Conclusions (cont.)
NO3
Rep. Distance ~ 450 km, 200km warm months
Factor – chemical nature to volatilize quickly in
warmer temperatures or not form at all
OC
Southerly located IMPROVE samplers recorded
higher OC concentrations on worst visibility days
Forest fire episodes
Rep. distance (Southern region) ~250 km
31
Thank you
Questions?
32