1. how is model predicted o3 sensitive to day type emission variability and morning planetary...
TRANSCRIPT
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Assessment of the Relative Reduction Factor for an
Ozone Attainment Demonstration in Houston,
TX
August 17, 2009Alejandro Valencia
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How is model predicted O3 sensitive to day type emission variability and morning Planetary Boundary Layer rise?
Hypothesis
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Outline Introduction
Modeling Datasets
Results
Conclusions
Future work
How is model predicted O3 sensitive to day type emission variability and Planetary Boundary Layer rise?
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Ozone - A Secondary Criteria Pollutant
Health effect
Environmental Problems
Factors in O3 Production: Emissions
NOxVOC
Meteorology Wind ProfileRise of Planetary Boundary Layer
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Houston is Non-attainment Area
Ship Channel
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The O3 Standard
National Ambient Air Quality Standard (NAAQS) for O3 8-hour standard: 0.08 ppm
State Implantation Plan (SIP) Current SIP (8-hour standard)
Attainment Test based on Relative Model predictions
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How to develop Attainment Test for the SIP
EPA Guidance: 8-hr Ozone Attainment Test
Monitor by Monitor Test Based on Observations
Maximum 8-hr Averages Based on Air Quality Models (AQMs)
Base case -- used in simulation performance not in Attainment Test
Base line case -- ‘typical’ emission inventory Future case -- ‘controlled’ emission inventory
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The 8-hr Ozone Attainment Test
DVF = RRF x DVB
Future design value If it is below the standard
the monitor is in compliance of NAAQS
Baseline design value based on observations
Relative Reduction Factor based on model predictions
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DVF = RRF x DVB Year 2003 2004 2005 2006 2007
1st 0.104 0.103 .101 .100 .102
2nd 0.103 0.101 .098 .099 .094
3rd 0.092 0.101 .092 .095 .088
4th 0.091 0.095 .088 .090 .082
5th 0.088 0.094 .087 .090 .079
Avg. of DVs
0.0913 0.0900 0.0866
2005 DVB 0.0893
Ozo
ne D
ata
for
Hig
hest
Dai
ly 8
-hr
max
(pp
m)
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DVF = RRF x DVB
Average of predicted Future case 8-hr daily max “near”
monitorAverage of predicted Base line case 8-hr daily max “near” monitor
RRF =
O3Future
O3Base line
=Day 1F+Day 2F …. Day NF
N RRF days
Day 1B+Day 2B …. Day NB
N RRF days
=RRFM =
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An RRF Example
0.891 represent a reduction of 11% of DVB
Lower RRF values indicate larger relative decreases in future predicted ozone concentrations
When calculating an RRF remember : EPA recommends a threshold concentration of 85
ppb for days used in RRF calculations, but allows concentrations as low as 70 ppb.
EPA recommends using at least 10 days in calculating RRFs, but allows as few as 5 days
RRFM = = 0.891
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Day Type Emissions
How is model predicted O3 sensitive to day type emission variability?
NOx
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Changing “The Box” changes Emission Concentrations
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Different SimulatedPlanetary Boundary Layer Rises
How is model predicted O3 sensitive to Planetary Boundary Layer rise? 14
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Outline Introduction
Modeling Datasets
Results
Conclusions
Future work
How is model predicted O3 sensitive to day type emission variability and Planetary Boundary Layer rise?
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Modeling Standard Attainment Dataset
The Texas Commission of Environmental Quality (TCEQ) developed Attainment Test for the SIP 8-hr O3 Attainment Test for 25 Surface Monitors
Calculating 25 DVB, RRFs, and DVF
4 monitors failed attainment test 18 AQMs Simulation Episodes using CAMx
2005 Base case 120 modeling days from 2005 and 2006 episodes
2005 Base line case 120 modeling days from 2005 and 2006 episodes
2018 Future case 120 modeling Days projected to 2018
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Across the Board Emissions Controls Applied with Growth
600 TPD 364 TPD
992 TPD 1011 TPD
Base Line Case 2005 Future Case 2018
NOx
VOC
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Outline Introduction
Modeling Datasets
Results
Conclusions
Future work
How is model predicted O3 sensitive to day type emission variability and Planetary Boundary Layer rise?
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Results
Weekday Weekend Analysis Results
Meteorological Analysis Results
Process Analysis Results
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Results
Weekday Weekend ResultsMeteorological Analysis Results
Process Analysis Results
Do different type of day emissions affect Houston’s predicted O3 ?
Day Type Emissions Variability
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Central Houston
1,250 km221
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Different Concentrations for Weekdays and Weekends
HRVOC = Highly Reactive VOCs,
Weekday Weekend
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Spread of Weekdays to Weekends in the Attainment Dataset
63
10
46
17
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Weekday Weekend O3Base
lineP
redi
cted
8-h
r m
ax O
3
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Weekday Weekend O3Future
Pre
dict
ed 8
-hr
max
O3
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Weekday Weekend RRF
0.03 – 0.08
< 0.02
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Weekday Weekend DVF
DVB influence > RRF
2-6 ppb
< 2 ppbO3
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Weekday Weekend Summary and Conclusions
NOx emissions on the weekends constitute a reduction on average of 13% Eastern Houston monitors affected by industrial emissions
have higher weekend O3 Western Houston monitors affected by mobile emissions
have lower weekend O3
Model response to changes in day type emission is sensitive to location
O3 concentrations can vary by as much as 35 ppb and RRFs can vary by up to 0.08 between weekdays and weekends.
Arbitrary averaging different day type Emission introduces a margin of error that may vary attainment
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ResultsWeekday-Weekend Results
Meteorological Analysis ResultsProcess Analysis Results
How does the model simulate the PBL ?
The Simulated Planetary boundary or Model Mixing Volume (MMV) is produced by the AQM by adjusting the vertical mixing (kv) between layers in the Eularian grid structure.
SimulatedPlanetary Boundary Layer Height
How is O3 sensitive to MMV ? 29
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MMV with focus on Central Houston
1,250 km230
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2 Distinct MMV RisesSlow Riser = MMV change less than 700
m/h
between 6 to 11 LST
Fast Riser = MMV change more than 700 m/h
between 6 to 11 LST
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MMV of Slow Riser & Fast Riser “Slow Riser” August 1, 2005
9 am
1- Hour O3 144 ppb
“Fast Riser” August 6, 2005 1- Hour O3 124 ppb
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Fast Riser higher than Slow Riser
7 am
“Fast Riser” August 6, 2005 9 LST“Slow Riser” August 1, 2005 9 LST
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Spread of Slow Risers to Fast Risers in the Attainment Dataset
63
10
41
22
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Slow Riser Fast Riser O3Base line
Pre
dict
ed 8
-hr
max
O3
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Slow Riser Fast Riser O3Future
Pre
dict
ed 8
-hr
max
O3
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Slow Riser Fast Riser RRF
Fast Riser respond better to 2018 controls
0.062x the difference of day type
0.07
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Slow Riser Fast Riser DVFDVf per Monitor, Type of Riser
DVB > Riser influence > Type of day
3-6 ppb
2-4 ppbO3
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Meteorological Analysis Summary and Conclusions
O3 concentrations can vary by 35 ppb and RRFs as much as 0.07 between Slow Risers and Fast Risers.
Model response to changes in MMV Rise is sensitive to location
Fast Risers are more responsive to 2018 Controls than slow risers Reponses to Controls varies with MMV Rise Type
Rise in MMVs can influence DVFs enough to bring them into attainment or out of attainment
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ResultsEmission Inventory Results
Meteorological Analysis Results
Process Analysis Results
Too much NOx = NOx-inhibitedToo much VOC = NOx-limited
Why is it important how O3 is produced in the studied phenomena ?
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Process Analysis: Central Houston
1,250 km241
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4 new-modeled days
Type of Day
MMV Rise
Weekday
Slow
Weekday
Fast
Weekend
Slow
Weekend
Fast
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2 Emission Inventories
Weekday
Weekend
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2 Meteorological Days
Slow Riser
Fast Riser
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Physical Processes : NOx
Slow Riser Fast Riser
06/21/05 Weekday
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Physical Processes : VOC
Slow Riser Fast Riser
06/21/05 Weekday
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Physical Processes : O3
Slow Riser Fast Riser
06/21/05 Weekday
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A Very Simple Intro to O3 Chemistry
OH. + VOCHO2
RO2 RO. OH.
NO NO2
O2
O3
O2 .
.
HNO3
NOx-limited H2O2
NO2 HO2
NOx-inhibited
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Fast Riser NOx-limited Earlier, Longer
Weekday
OH + NO2 HNO3HO2 + HO2 H2O2 + O2
NOx-limited NOx-inhibited
- P(H2O2) : P(HNO3)
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Process Analysis Summary and Conclusions
2 distinct rising MMV patterns show the same behavior in both emission types with different magnitudes. Slow Riser Fast Riser
Entrainment of VOCs that bring in new VOCs 5x more Dilution of NOx and VOCs Steeper O3 production rate mainly due to entrainment NOx-limited much earlier in day than Slow Riser
Restricts O3 formation to NOx availability
Lower & Earlier Peak O3
Same set of EI show distinct O3 producing regimes Affect the type of controls needed to reduce O3
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Outline Introduction
Modeling Datasets
Results
Conclusions
Future work
How is model predicted O3 sensitive to day type emission variability and Planetary Boundary Layer rise?
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ConclusionsRRF
Modeled data are “averaged” over weekday and weekend emissions and over recurring meteorological phenomena. Averaging of these phenomena results in an artificial
response in many cases is less responsive than actual conditions
Houston Complex Environment with different response to
across the board controls Several ways to produce ozone require different
controls
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Outline Introduction
Modeling Datasets
Results
Conclusions
Future work
How is model predicted O3 sensitive to day type emission variability and Planetary Boundary Layer rise?
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Future Work Develop DVB as a function of weekend and weekday.
Calculate only weekend and only weekday DVF
Compare Slow Riser and Fast Riser phenomena with Observed data.
Use Process Analysis to compare eastern clusters of monitors with western monitors
Design optimum control strategies that consider variability due to geographic location, MMV rise, and day type emissions of Houston
Expand criteria for days selected when using the RRF averaging metric
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Acknowledgements Dr. Vizuete
MAQ Lab
CHAQ Lab
Dr. Jeffries
Dr. Arnold
Barron Henderson
This project was funded by the HARC under Project H97.
Image SourcesLiz Christophhttp://www.flickr.com/photos/mendt/2512431584/http://www.flickr.com/photos/ncabral/2271356021/http://www.flickr.com/photos/mzmo/2831224265/http://www.flickr.com/photos/oneeighteen/2583724580/http://www.flickr.com/photos/kt/20140715/http://www.flickr.com/photos/60058591@N00/577718015/in/set-72157615763158669/http://www.flickr.com/photos/60058591@N00/577718005/http://www.stateoftheair.org/2008/most-polluted/http://www.flickr.com/photos/telwink/2147903485/sizes/l/http://www.flickr.com/photos/eschipul/269752158/sizes/l/http://www.flickr.com/photos/billjacobus1/122489774/sizes/l/http://www.flickr.com/photos/telwink/2252360890/sizes/l/http://www.flickr.com/photos/arielp/14701974/sizes/l/http://www.flickr.com/photos/oneeighteen/1318669651/sizes/o/http://www.flickr.com/photos/fusionpanda/258048488/sizes/l/http://www.flickr.com/photos/travishouston/3303021742/
Sourceshttp://www.tceq.state.tx.us/http://www.tceq.state.tx.us/implementation/air/airmod/committee/pmtc_set.htmlEvan CouzoBarron HendersonDick Karp. Initial 2018 hgb modeling results.
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Questions
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Appendix : Process Analysis Results
H2O2 and HNO3 Production
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Appendix : Process Analysis Results
H2O2 and HNO3 Production
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OH + NO2 HNO3
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HO2 + HO2 H2O2 + O2 58
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Weekend
Appendix : Process Analysis Results
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