relationships of indoor, outdoor and personal air (riopa) study clifford p. weisel environmental and...
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Relationships of Indoor, Outdoor Relationships of Indoor, Outdoor and Personal Air (RIOPA) Studyand Personal Air (RIOPA) Study
Clifford P. WeiselClifford P. WeiselEnvironmental and Occupational Health Environmental and Occupational Health
Sciences Institute, Piscataway, NJSciences Institute, Piscataway, NJ
With: J Zhang, BJ Turpin, MT Morandi, S With: J Zhang, BJ Turpin, MT Morandi, S Colome, Thomas H. Stock, & DM SpektorColome, Thomas H. Stock, & DM Spektor
Presented at:Presented at:
The 2004 MIT Endicott Air Toxics The 2004 MIT Endicott Air Toxics SymposiumSymposium
EXPOSURE CONSIDERATIONSEXPOSURE CONSIDERATIONS People spend more time indoors (home, People spend more time indoors (home,
work, school, recreation, etc.) than work, school, recreation, etc.) than outdoor, but also in transitoutdoor, but also in transit– Percent time can vary by location & seasonPercent time can vary by location & season
Air toxics Air toxics – have outdoor sources which can enter have outdoor sources which can enter
(though often modified) indoors(though often modified) indoors– can be produced from activities or generated can be produced from activities or generated
indoorsindoors– can be elevated in “special” micro- can be elevated in “special” micro-
environments (i.e. automobile cabins)environments (i.e. automobile cabins)
RIOPA STUDY HYPOTHESESRIOPA STUDY HYPOTHESES
1) At residences immediately adjacent to 1) At residences immediately adjacent to outdoor sources a measurable and outdoor sources a measurable and significant portion of the air toxic significant portion of the air toxic exposures will be attributable to ambient exposures will be attributable to ambient sourcessources
2) Residential air exchange rates and 2) Residential air exchange rates and ambient air measurements can predict ambient air measurements can predict the contribution from ambient sources to the contribution from ambient sources to indoor air & personal exposureindoor air & personal exposure
STUDY DESIGN
Sample 100 homes twice, 3 months apart in each of three urban centers:
Elizabeth, NJ; Houston, TX; Los Angeles, CA Target air toxics: VOCs, Aldehydes, PM2.5 for
mass, metals & PAHs Personal, indoor & outdoor air samples
collected over 48 hours Personal samples from: Adults who stay
primarily at home & children Air exchange measurements
ATTRIBUTING AIR TOXIC ATTRIBUTING AIR TOXIC SOURCES – OUTDOOR/INDOORSOURCES – OUTDOOR/INDOOR
Examine scatter plots of personnel air, Examine scatter plots of personnel air, indoor air and outdoor air concentrations indoor air and outdoor air concentrations for each sampling setfor each sampling set
Model the indoor concentrations based Model the indoor concentrations based on outdoor concentrations, penetration on outdoor concentrations, penetration factors and air exchange ratesfactors and air exchange rates
Use statistical analyses to predict Use statistical analyses to predict personal concentration based on activity personal concentration based on activity data (future analyses)data (future analyses)
OUTDOOR SOURCE DOMINATEDOUTDOOR SOURCE DOMINATED
Methyl tert butyl ether(n=505)
0
10
20
30
40
50
0 10 20 30 40 50
Outdoor concentration (mg/m 3)
Ind
oo
r co
nce
ntr
atio
n (
mg
/m3)
1:1 line
Methyl tert butyl ether(n=504)
0
10
20
30
40
50
0 10 20 30 40 50
Outdoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
Methyl tert butyl ether(n=502)
0
10
20
30
40
50
0 10 20 30 40 50
Indoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
Scatter around 1:1 line for all three plots are fairly random – outdoor source dominate with little loss from outdoor
OUTDOOR SOURCE DOMINATEDOUTDOOR SOURCE DOMINATEDCompounds that fit this categoryCompounds that fit this category
Methyl Methyl terttert butyl ether (MTBE) butyl ether (MTBE)Methylene chlorideMethylene chloride
Carbon tetrachlorideCarbon tetrachlorideTrichloroethyleneTrichloroethylenePropionaldehydePropionaldehydeCrotonaldehydeCrotonaldehyde
These are not compound present in many These are not compound present in many consumer productsconsumer products
INDOOR SOURCE DOMINATEDINDOOR SOURCE DOMINATED
Formaldehyde(n=444)
0
10
20
30
40
50
60
70
0 10 20 30 40 50 60 70
Outdoor concentration (µg/m 3)
Ind
oo
r co
ncen
trati
on
(µg
/m3)
1:1 line
Formaldehyde(n=599)
0
20
40
60
80
100
120
140
160
0 20 40 60 80 100 120 140 160
Outdoor concentration (µg/m 3)
Pers
on
al co
ncen
trati
on
(µg
/m3)
1:1 line
Formaldehyde(n=599)
0
20
40
60
80
100
120
140
160
0 20 40 60 80 100 120 140 160
Indoor concentration (µg/m 3)
Pers
on
al co
ncen
trati
on
(µg
/m3)
1:1 line
Elevated levels for both the indoor and personal concentration compared to the outdoor levels, while the personal and indoor scatter around the 1:1 line - indoor sources dominate
INDOOR SOURCE DOMINATEDINDOOR SOURCE DOMINATEDCompounds that fit this categoryCompounds that fit this category
Major Indoor ComponentMajor Indoor Component
ChloroformChloroform
αα-Pinene-Pinene
ββ-Pinene-Pinene
d-Limonened-Limonene
1,4-Dichlorobenzene1,4-Dichlorobenzene
FormaldehydeFormaldehyde
AcetaldehydeAcetaldehyde
Borders on 1:1 LineBorders on 1:1 Line
StyreneStyrene
AcetoneAcetone
BenzaldehydeBenzaldehyde
Some home show very strong indoor sources
MIXED SOURCESMIXED SOURCESm,p -Xylene
(n=505)
0
50
100
150
200
250
0 50 100 150 200 250
Outdoor concentration (mg/m 3)
Ind
oo
r co
nce
ntr
atio
n (
mg
/m3)
1:1 line
m,p -Xylene(n=504)
0
50
100
150
200
250
0 50 100 150 200 250
Outdoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
m,p -Xylene(n=502)
0
50
100
150
200
250
0 50 100 150 200 250
Indoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
m,p -Xylene(n=505)
0
10
20
30
40
50
0 10 20 30 40 50
Outdoor concentration (mg/m 3)
Ind
oo
r co
nce
ntr
atio
n (
mg
/m3) 1:1 line
m,p -Xylene(n=504)
0
10
20
30
40
50
0 10 20 30 40 50
Outdoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
m,p -Xylene(n=502)
0
10
20
30
40
50
0 10 20 30 40 50
Indoor concentration (mg/m 3)
Per
son
al c
on
cen
trat
ion
(m
g/m
3) 1:1 line
Elevated levels for both the indoor and personal concentration compared to the outdoor levels for some samples – indoor sources dominateother samples scatter around the 1:1 line – outdoor sources dominate
MIXED SOURCESMIXED SOURCESCompounds that fit this categoryCompounds that fit this category
BenzeneBenzene
TolueneToluene
TetrachloroethyleneTetrachloroethylene
m,pm,p Xylene Xylene
oo Xylene Xylene
Ethyl benzeneEthyl benzene
LOSSES DURING TRANSPORTLOSSES DURING TRANSPORT
PM 2.5
(n=292)
0
20
40
60
80
100
120
0 20 40 60 80 100 120
Outdoor concentration (µg/m 3)
Ind
oo
r co
ncen
trati
on
(µg
/m3)
1:1 line
PM 2.5
(n=256)
0
20
40
60
80
100
120
140
160
180
0 20 40 60 80 100 120 140 160 180
Outdoor concentration (µg/m 3)
Pers
on
al co
ncen
trati
on
(µg
/m3)
1:1 line
PM 2.5
(n=246)
0
20
40
60
80
100
120
140
160
180
0 20 40 60 80 100 120 140 160 180
Indoor concentration (µg/m 3)
Pers
on
al co
ncen
trati
on
(µg
/m3)
1:1 line
Lower indoor values indicative of losses during penetrationIndividual higher indoor values -- indoor sources dominatePersonal higher than indoor or outdoor -- indicative of an activity source.
LOSSES DURING TRANSPORTLOSSES DURING TRANSPORTCompounds that fit this categoryCompounds that fit this category
PMPM2.52.5
AcroleinAcrolein
SUMMARY OF SCATTER PLOTSSUMMARY OF SCATTER PLOTS Compounds can be classified into four groups Compounds can be classified into four groups
dependant on indoor-outdoor concentrationdependant on indoor-outdoor concentration– Majority of homes dominated by outdoor airMajority of homes dominated by outdoor air– Majority of homes dominated by indoor Majority of homes dominated by indoor
sourcessources– Significant portion of homes dominated by Significant portion of homes dominated by
outdoor air with others showing indoor outdoor air with others showing indoor sourcessources
– Losses of compounds when penetration Losses of compounds when penetration indoors occurs with indoor/personal indoors occurs with indoor/personal sources evidentsources evident
MODELING OUTDOOR MODELING OUTDOOR CONTRIBUTIONS TO INDOORSCONTRIBUTIONS TO INDOORS
Goal to evaluate the role of outdoor intrusion Goal to evaluate the role of outdoor intrusion on the indoor air concentrationon the indoor air concentration– Use indoor & outdoor levels and AERUse indoor & outdoor levels and AER– Account for penetration factors and loss termsAccount for penetration factors and loss terms
Mass balance modelMass balance model Random Component super-position Random Component super-position
statistical modelstatistical model
OUTDOOR CONTRIBUTIONS TO INDOOR AIR OUTDOOR CONTRIBUTIONS TO INDOOR AIR TOXIC CONCENTRATIONS USING A MASS TOXIC CONCENTRATIONS USING A MASS
BALANCE MODEL - FOR PMBALANCE MODEL - FOR PM
Category k 1/hr(95% CI)
S/V g/m3hr(95% CI)
% OutdoorContribution
PM2.5 (N)
Overall study(262) 1.04 (0.48, 1.59) 17.9 (7.6, 28.1) 53
California (100) 0.95 (0.53, 1.37) 13.5 (5.0, 19.9) 62
New Jersey (84) 1.07 (-0.34, 2.48) 22.9 (-7.6, 53.4) 50
Texas (78) 1.06 (-1.49, 3.61) 18.3 (-24.3, 61.0) 341.06 (-1.49, 3.61) 18.3 (-24.3, 61.0)
Loss rate (k) in hr-1; indoor source strength (S/V) in µg m-3 hr-1, &median outdoor contributions to indoor air toxic concentrations in %
OUTDOOR CONTRIBUTIONS TO INDOOR AIR OUTDOOR CONTRIBUTIONS TO INDOOR AIR TOXIC CONCENTRATIONS USING A MASS TOXIC CONCENTRATIONS USING A MASS
BALANCE MODEL -FOR CARBONYLSBALANCE MODEL -FOR CARBONYLS
Category k 1/hr(95% CI)
S/V g/m3hr(95% CI)
% OutdoorContribution
Carbonyls (N)Formaldehyde (416) 14.8 (2.61, 27.1) 333 (70.3, 595) 1.3
Acetaldehyde (416) 0.65 (0.22, 1.08) 24.8 (13.9, 35.7) 17
Acetone (416) 0.065 (-.038, .17) 3.85 (1.88, 5.81) 56
Glyoxal (416) 0.75 (0.45, 1.04) 2.24 (1.51, 2.97) 32
Methylglyoxal (413) 0.10 (.068, 0.13) 0.59 (0.41, 0.77) 59
OUTDOOR CONTRIBUTIONS TO INDOOR AIR OUTDOOR CONTRIBUTIONS TO INDOOR AIR TOXIC CONCENTRATIONS USING A MASS TOXIC CONCENTRATIONS USING A MASS
BALANCE MODEL -FOR VOCSBALANCE MODEL -FOR VOCS
Category k 1/hr(95% CI)
S/V g/m3hr(95% CI)
% OutdoorContribution
VOCs (N)Methyl tert ButylEther (456)
0.180 (.045, .315) 4.34 (2.22, 6.45) 73
Benzene (456) 0.332 (.028, .635) 2.11 (.787, 3.43) 52
Toluene (456) 0.282 (.036, .528) 9.60 (4.88, 14.3) 34
Ethyl Benzene (457) 0.836 (-.412, 2.08) 3.08 (-.447, 6.61) 26
m,p Xylene (457) 0.589 (-.402, 1.58) 6.86 (-1.4, 15.1) 33
o Xylene (457) 76.37 (-229, 382) 188 (-562, 938) 36
1,4 Dichlorobenzene(457)
0.628 (-.777, 2.03) 84.9 (-30.7, 200) 12(457)
0.628 (-.777, 2.03) 84.9 (-30.7, 200) 12
SUMMARY OF MODELSSUMMARY OF MODELS PM showed loss during penetration PM showed loss during penetration
indoor with improvement in the estimate indoor with improvement in the estimate as individual home variability was as individual home variability was accounted foraccounted for
Carbonyls showed loss (water solubility Carbonyls showed loss (water solubility effects?) on some strong indoor sourceseffects?) on some strong indoor sources
Non-polar VOCs no losses during Non-polar VOCs no losses during penetration with ambient influence penetration with ambient influence consistent with scatter plot suggestionsconsistent with scatter plot suggestions
AFFECT OF PROXIMITY ON AFFECT OF PROXIMITY ON AMBIENT AIR CONCENTRATIONAMBIENT AIR CONCENTRATION
Mobile SourcesMobile Sources
Assign locations to all homes and source location Assign locations to all homes and source location using GIS techniquesusing GIS techniques
Calculate distances between home and closest Calculate distances between home and closest point to roadway and each point or area sourcepoint to roadway and each point or area source
Conduct statistical evaluation – linear regression Conduct statistical evaluation – linear regression analyses – after appropriate transformations. analyses – after appropriate transformations. – Distance and meteorology as independent variables.Distance and meteorology as independent variables.– Evaluate statistical appropriateness of associations and Evaluate statistical appropriateness of associations and
outliersoutliers
SUMMARY OF PROXIMITY SUMMARY OF PROXIMITY ANALYSESANALYSES
Mobile source compounds were inversely related Mobile source compounds were inversely related to distance to major highways & gas stations, wind to distance to major highways & gas stations, wind speed (some) – positive to atmospheric stabilityspeed (some) – positive to atmospheric stability– MTBE stronger to Gas StationsMTBE stronger to Gas Stations– Toluene had point source influenceToluene had point source influence– Carbonyls not related to distance only Carbonyls not related to distance only
meteorologymeteorology Tetrachloroethylene was inversely related to Tetrachloroethylene was inversely related to
distance to drycleaners, temperature, wind speed distance to drycleaners, temperature, wind speed - positive to atmospheric stability- positive to atmospheric stability
CONCLUSIONCONCLUSION
Ambient levels do not predict exposure to all Ambient levels do not predict exposure to all compoundscompounds
Indoor air can be modeled from outdoor Indoor air can be modeled from outdoor levels and AER to quantitatively evaluated levels and AER to quantitatively evaluated for outdoor air influencefor outdoor air influence
Proximity to sources can be statistically Proximity to sources can be statistically identified as affecting the ambient air around identified as affecting the ambient air around houses for a number of compoundshouses for a number of compounds
ACKNOWLEDGEMENTSACKNOWLEDGEMENTSFunding by Funding by (presentation not reviewed by agencies)(presentation not reviewed by agencies) Mickey Leland National Urban Air Toxics CenterMickey Leland National Urban Air Toxics Center Health Effects InstituteHealth Effects Institute NIEHS Center of Excellence ProgramNIEHS Center of Excellence Program US EPAUS EPA
Participants who allowed for life disruptionParticipants who allowed for life disruption
Sampling and Analyses TeamSampling and Analyses Team Leo Korn, Arthur Winer, Shahnaz Alimokhtari, Jaymin Kwon, Leo Korn, Arthur Winer, Shahnaz Alimokhtari, Jaymin Kwon,
Krishnan Mohan, Robert Harrington, Robert Giovanetti, William Krishnan Mohan, Robert Harrington, Robert Giovanetti, William Cui, Masoud Afshar, Silvia Maberti, Derek Shendell, Qing Yu Cui, Masoud Afshar, Silvia Maberti, Derek Shendell, Qing Yu Meng, Adam Reff, Andrea Polrdori, Robert Porcja, Yelena Meng, Adam Reff, Andrea Polrdori, Robert Porcja, Yelena Naumova, Jong Hoon Lee, Lin Zhang, Tina Fan, Jennifer Jones, L Naumova, Jong Hoon Lee, Lin Zhang, Tina Fan, Jennifer Jones, L Farrar, Yangrid Blossiers, and Marian FahreyFarrar, Yangrid Blossiers, and Marian Fahrey