1. 1 WILMINGTON AIR QUALITY STUDY Project Summary and Status Todd Sax Vlad Isakov Planning and Technical Support Division California Air Resources Board Presentation to Modeling Working Group March 16, 2004 MWG_PRES_031604

2. 2 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Industrial-Commercial Facilities –Non-Port Mobile Source Inventories –Port Inventories - Status –Model Status and Evaluation Ongoing Work MWG_PRES_031604

3. 3 Wilmington Air Quality Study Barrio Logan project - first neighborhood assessment project. –Neighborhood scale inventory –Application of several local-scale and regional models Wilmington study - next step in neighborhood assessment. –Improved local-scale emissions inventory and inventory evaluation –Larger modeling domain –Expanded model application and evaluation MWG_PRES_031604

4. 4 Wilmington Domain Wilmington modeling sub-domain MWG_PRES_031604

5. 5 WAQS Objectives Goals –Develop and evaluate inventory/modeling methods for assessing pollutant impacts at a fine resolution –Conduct studies to assess inventory and modeling approaches for statewide assessment Key Questions –Are existing emissions inventories adequate for neighborhood assessment? –What are the key data gaps? –What are key pollutant, source impacts in Wilmington? –Which models provide reliable results? –How do we integrate model results? MWG_PRES_031604

6. 6 Emissions Industrial and Commercial Facilities Industrial facilities Non-diesel emissions from marine terminals Gasoline stations Dry cleaners Autobody shops Metal fabricators “Magnet” Facilities like warehouses and distribution centers that attract diesel on-road sources Dedicated, on-site off-road equipment On-Road Sources Automobiles and Heavy duty trucks Freeways, and Ramps Major and Minor Arterials Other Off-Road Engines Marine, Harbor, and Dockside engines at marine terminals Railroad activity Exposure Local scale modeling - ISCST3, AERMOD, CALPUFF, CALINE4 Regional modeling - CALGRID, CMAQ, CAMx Combined results Limited time-activity based exposure modeling Health Risk OEHHA Guidelines - Inhalation and multipathway risks - Cancer and chronic endpoints - Comparison to health based PM standards Model Evaluation Tracer Study Summer, 2003 Release from elevated stack Toxics Monitoring Long term (one year), one site - >50 pollutants Short term study(12-15 days) - Summer, 2003 - Multiple sites - Estimate diesel PM Uncertainty Assessment Gasoline service stations Stationary and Mobile Diesel IC engines Wilmington Neighborhood Assessment - Conceptual Plan Inventory Analysis Expand quality assurance Assess contribution of “neighborhood” sources Evaluate uncertainty

7. 7 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Industrial-Commercial Facilities –Non-Port Mobile Source Inventories –Port Inventories - Status –Model Status and Evaluation Ongoing Work MWG_PRES_031604

8. 8 Emissions: Industrial and Commercial Facilities 405 facilities-toxics / 259 -criteria 170 surveyed facilities (118 neighborhood / 52 CEIDARS) Compiled from multiple inventory databases Enhanced QA/QC Review by SCAQMD and selected facilities On-Road Emissions Link-Based Inventory Use Travel Demand Models and EMFAC Marine Terminals and Related Off-Road Ports of Los Angeles and Long Beach - develop inventories for marine terminals, on-road sources, and related locomotive emissions. Locomotives - develop link and throttle- notch specific inventories Construction - not considered (included in regional modeling). Emissions Inventory Review MWG_PRES_031604

9. 9 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Industrial-Commercial Facilities –Non-Port Mobile Source Inventories –Port Inventories - Status –Model Status and Evaluation Ongoing Work MWG_PRES_031604

10. 10 Industrial-Commercial Facilities Definition –Large and small point sources at non-port businesses Method –Develop facility list –Multiple data sources: HRA, AER, CEIDARS, TRI, etc. –On-site surveys: verify and augment inventories 118 neighborhood sources 52 CEIDARS facilities –Choose best emissions data from hierarchy If surveyed, include on-site area and mobile emissions categories –Compile inventory MWG_PRES_031604

11. 11 Industrial-Commercial Facilities Hierarchy MWG_PRES_031604

12. 12 Industrial-Commercial Facilities MWG_PRES_031604

13. 13 Industrial-Commercial Facilities Preliminary Results: Inventory Evaluation –Designed to test inventory assumptions Why evaluate inventories? –Existing databases designed for regional-scale analysis –Inventory update procedures designed and implemented with regional goal in mind –But NAP is local scale, not regional analysis –Asking existing databases to “do more” –Need to understand strengths and limitations Learn how to improve and meet modeling needs

14. 14 Industrial and Commercial Facilities Development of a community-specific industrial-commercial facility inventory improved our ability to characterize emissions in Wilmington –WAQS inventory is more recently calculated Toxics Inventory Age –65% of records identified by survey; year 2000 or later Criteria Inventory Age –55% or records in local-scale inventory updated by survey (>2000) –WAQS is more comprehensive than CEIDARS Contains small facilities that are area sources in CEIDARS Contains improved stack data in toxics inventory –64% of releases are actual data; 36% defaults –Only 8% of CEIDARS records tied to stacks Duplicate, closed CEIDARS facilities corrected. MWG_PRES_031604

15. 15 Industrial-Commercial Facilities Total facility cancer scores differ substantially between inventories. MWG_PRES_031604

16. 16 Industrial and Commercial Facilities On a neighborhood scale, diesel PM and CrVI from area-wide sources at facilities are significant –80% of diesel PM and 15% of CrVI generated by facilities which are not in CEIDARS as point sources. Other neighborhood sources have minimal impacts, but may be important near receptors. MWG_PRES_031604

17. 17 Industrial and Commercial Facilities Current diesel exhaust particulate inventories representing industrial-commercial facilities need improvement for neighborhood assessments –Only ~20% of estimated diesel PM emissions at facilities generated by point sources –Remaining ~80% generated primarily by off-road sources operating within facilities. –Diesel PM from off-road sources is important at larger industrial facilities like petroleum refineries Off-road diesel PM ~40% of total cancer potency-weighted emissions at refineries. MWG_PRES_031604

18. 18 I-C Diesel Exhaust Particulate Inventory 75% generated by inventory-reporting facilities in 90744 (Wilmington community) –But 23 reporters, ~600 neighborhood sources not surveyed in 90744 –If extrapolate, inventory doubles MWG_PRES_031604

19. 19 Implications of I-C DPM DPM is dominant cancer risk Significant emissions generated by on-site off-road sources Point source facilities generally do not report on-site mobile source inventories However, most on-site off-road emissions were generated by facilities subject to other inventory reporting requirements Statewide inventory based on off-road model –Top-down approach –4 km grid cell spatial resolution MWG_PRES_031604

20. 20 Industrial and Commercial Facilities Petroleum Refinery Case Study –Method Evaluate inventory reports from 6 refineries –3 in Wilmington, +1 in SCAQMD, +2 in BAAQMD Analysis requires process-level inventories –Obtained best toxics data representing each facility –Must be consistently calculated, SCC process coded –Result: ability to compare facilities is limited Different process groupings/units between facilities Widespread inconsistencies in facility calculations Top pollutant sources different at different facilities Need to examine other facility categories; results may be consistent MWG_PRES_031604

21. 21 Example: Benzene –Facility E: fugitive wastewater –Facilities B and C (AER): oil-water separators. B>C, due to activity –Some totals different in AB2588, AER –Results consistent for benzene, 1,3-B, H2S, CrVI, CHOH Case Study: Petroleum Refineries MWG_PRES_031604

22. 22 Case Study: Petroleum Refineries Substantial differences between identical facilities, different inventories –Major differences in facility-total emissions for high risk pollutants MWG_PRES_031604

23. 23 Case Study: Petroleum Refineries When emissions data reported using comparable methods, gain insights. –Example: Hexavalent Chromium (CrVI) generated by process-gas fired process heaters On paper, majority of emissions generated by a few units at few facilities Emissions Process rate MWG_PRES_031604

24. 24 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Industrial-Commercial Facilities –Non-Port Mobile Source Inventories –Port Inventories - Status –Model Status and Evaluation Ongoing Work MWG_PRES_031604

25. 25 On-Road Emissions Inventory Goal: develop and evaluate link-specific inventory –Develop and test approaches for link-specific inventory development –Assess assumptions in developing a bottom-up inventory –Compare to proposed approach for statewide modeling –Assess uncertainty and how to improve calculations Preliminary Results –Emissions models need better resolution –Emissions estimates are uncertain due to uncertain activity estimates and uncertain emission factors MWG_PRES_031604

26. 26 Emission models were never intended to provide highly spatially resolved emissions estimates –EMFAC and OFFROAD provide county-total emissions that can be allocated to 4 km grid cells –Greater inventory resolution is required for local- scale models –Allocating emissions to roadways is uncertain due to county-level assumptions Fleet composition Travel model limitations: link specific volumes and speeds Operating cycle / trip-based emission factors Mobile Emissions Inventories MWG_PRES_031604

27. 27 Limited test data on diesel PM emissions complicates assessment of diesel PM impacts on a local level. –Source test data are extremely limited ~200 in-use heavy duty truck source tests –New data on-line with CRC E55-59 <20 source tests of off-road in-use engines –Driving cycles highly variable depending on equipment –Models make key assumptions On-road: emissions dependency with speed, driving cycles, activity, etc. Off-road: load and deterioration, etc. Regional or equipment specific activity / operational characteristics. Mobile Emissions Inventory MWG_PRES_031604

28. 28 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Industrial-Commercial Facilities –Non-Port Mobile Source Inventories –Port Inventories - Status –Model Status and Evaluation Ongoing Work MWG_PRES_031604

29. 29 Emissions Inventory - Ports Port-wide inventories –Goal: obtain spatially resolved port-specific inventories Work supports WAQS and SSD Port Regulatory Activities Work conducted by Port consultants –Continuous consultation with SSD, PTSD Improve spatial allocation - berth/terminal/rail-link specific Improve inventory assumptions: load, stacks, etc. Improved traffic and idling activity estimates - terminal specific –Status: Draft reports are being reviewed. Commercial marine vessels (POLA) Harborcraft (POLA / SSD) Terminal on-road movement/idling (POLA and POLB) Dockside terminal (POLA and POLB) Locomotives (POLA and POLB) MWG_PRES_031604

30. 30 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Model Status and Evaluation Local-scale uncertainty analysis Tracer study status Ongoing Work MWG_PRES_031604

31. 31 Modeling Status Microscale –Status: waiting on port inventories Regional –Status: currently being planned, sensitivity studies in progress Model Integration –Goal: combine regional and microscale models while minimizing double counting –Status: currently being planned. MWG_PRES_031604

32. 32 Model Evaluation - Uncertainty Analysis Goal –Use uncertainty analysis as an objective evaluation procedure to determine the level of confidence we should have in modeling results Two studies –Diesel PM Study in Wilmington –Wilmington inventory sensitivity studies What is uncertainty analysis? –An analysis method that uses assumptions about the uncertainty in model inputs to assess uncertainty in model output. MWG_PRES_031604

33. 33 Model Evaluation - Uncertainty Analysis Why Uncertainty Analysis –Models are not reality –Model results are a function of assumptions –Assumptions are uncertain We make best guess estimates to simulate reality These estimates may be wrong These estimates are uncertain - we pick a value from a range What do we hope to learn? –How uncertain are our estimates? –What are the most uncertain components? –How can we reduce uncertainty? –Given uncertainty, what are model strengths and limitations? MWG_PRES_031604

34. 34 Wilmington Uncertainty Analysis (1) Diesel PM - ZIP 90744 –Industrial-Commercial facilities Surveyed and included in inventories Extrapolated, not in I-C inventory directly –On-Road “Major” - Freeways, Ramps, Major Arterials “Minor” - Minor arterials, Collectors, Connectors Approach –Assess uncertainty in emissions –Run ISC for Base Case –Assess uncertainty in model results due to meteorology, inventory release characteristics. –Develop Monte Carlo meta-model to estimate uncertainty in ISCST3 results MWG_PRES_031604

35. 35 (IC, on-road) MWG_PRES_031604

36. 36 (point/area sources) > MWG_PRES_031604

37. 37 (heavy duty trucks) > MWG_PRES_031604

38. 38 (light duty trucks) > MWG_PRES_031604

39. 39 Wilmington Uncertainty - Emissions Diesel PM emissions: mobile sources –Mobile source DPM at 4 facilities –Theoretical link Goal: assess precision, accuracy in emissions, apply to modeling analysis Emissions method –Estimate activity range by on-site survey –Quantify range of emission factors based upon source tests –Use Monte Carlo to propagate uncertainty MWG_PRES_031604

40. 40 Order of magnitude uncertainty in mobile source diesel emissions estimates at facilities –Assessed on-site on-road and off-road emissions Case Study: Diesel Exhaust Particulate MWG_PRES_031604

41. 41 Case Study: Diesel Exhaust Particulate Uncertainty is due to emission factors –Limited number of tests, all cycles considered. MWG_PRES_031604

42. 42 Order of magnitude uncertainty in on-road diesel emissions estimates –Theoretical link (1-mile, 100 HD, 5 LD, 30 MPH) –Bias in Wilmington is likely (volume, fleet, EF) Case Study: Theoretical Link MWG_PRES_031604

43. 43 Wilmington Uncertainty Analysis Method Divide model into components Emissions (EMS) Spatial Allocation (SA) Assessed by emissions source category, Moved a set distance to north, south, east, west: IC +/- 25m, ZNS +/- 200m, Major onroad - fixed, Minor roadways +/- 500m. Temporal Allocation (TA) Point sources - base scenario by survey (vary 8, 10, 12, 16, 24 hour day), Roadway sources (Vary temporal allocation +/- 2 hrs) Release parameters (RP) Point sources base case defined by survey, uncertainty using different assumptions: 3 volume scenarios, 3 point source scenarios, Roadways - base case area sources (3 different area source options) Meteorology (MET) Onsite data 2001 (Long Beach cloud data for stability), Assessed Long Beach - 1984-1990, 2001, Ran model, assess percent difference relative to 2001, Developed distribution for interannual variability MWG_PRES_031604

44. 44 Run Model –Assess model differences based on uncertainty in each model component –Assign to distribution (in our case empirical for simplicity) –Result - distribution of model results for each model component separately Model Propagation –Assumes independence between factors in model Spatial allocation, temporal allocation, meteorology, release parameters. Emission rates are independent - unit emission rates –Develop Monte Carlo propagation model (EMS x C) (SA + TA + RP + MET) –Model is iterated for each source contribution to each receptor. Receptors –Chosen to represent different types of sites Uncertainty Analysis: Conceptual Approach MWG_PRES_031604

45. 45 Wilmington Uncertainty Analysis Results: all receptors MWG_PRES_031604

46. 46 Receptor 1: stationary and mobile impacted Wilmington Uncertainty Analysis MWG_PRES_031604

47. 47 Wilmington Uncertainty Analysis Receptor 4: residential non-impacted MWG_PRES_031604

48. 48 Wilmington Uncertainty Analysis Receptor 6: Wilmington Park Elementary MWG_PRES_031604

49. 49 Preliminary Conclusions Emissions from on-road sources may be underestimated Uncertainty in emissions appears the dominant source –Locating emissions in the domain is most important –Once located, uncertainty in calculations is dominant. No statistical difference between sites –Due to uncertainty in magnitude and location of emissions Model results should be verified with monitoring Conceptual model uncertainty due to model formulation needs to be included MWG_PRES_031604

50. 50 Wilmington Sensitivity Studies (2) MWG_PRES_031604 Objective –Demonstrate the effect of different point source emissions inventories on model results using a simplified case study. Method –Compare different level of details in point source emissions inventory NATA 1996, CEIDARS, WAQS –Use NATA 1996 application, ASPEN modeling system for comparison.

51. 51 Assessing Uncertainty due to Emissions Compare multiple point source inventories Goal: estimate uncertainty due to different levels of detail in point source inventories (national, statewide, local-scale) Modeling Domain: Focus on Wilmington sub- domain (10 x 10 km) Outside sources treat as background Model all sources within 50km of domain. Compare with observations: Short term (~18 mo.) toxics monitor in domain. Road links Census tract centroids Model receptors MWG_PRES_031604

52. 52 Analysis of emissions: Benzene Wilmington modeling domain 10km x 10km size (blue box) major road links - black lines census tracts centroids - black dots Sources of benzene emissions: Local-Scale (WAQS) - red symbols Statewide (CEIDARS) - blue symbols National (1996 NTI) - yellow symbols MWG_PRES_031604

53. 53 Local (Wilmington) State (CEIDARS) National (NATA’96) Benzene emissions from stationary sources (0.5 x 0.5 km gridded for visualization) Domain total = 8.3[t/yr] Domain total = 28.6[t/yr] Domain total = 159[t/yr] 804 sources: 502 sources: 280 sources: median = 0.0005 median = 0.0011 median = 0.018 95% = 0.048 95% = 0.22 95% = 0.17 max = 1.05 max = 3.57 max = 94.7 MWG_PRES_031604

54. 54 Comparison: Local vs. Statewide Inventory Benzene Emissions X-axis: Statewide: (CEIDARS) Factor of 10 Factor of 2 Y-axis: Local-scale (Wilmington) Inventory identified, not in statewide MWG_PRES_031604

55. 55 Model results: benzene concentrations (point sources - black, other sources - gray, background - white) Base case: national inventory (NTI’96) Emissions from point sources replaced by statewide inventory (CEIDARS) Emissions from point sources replaced by local-scale inventory (Wilmington) MWG_PRES_031604

56. 56 Emissions Inventory –Sources are more precisely located in statewide and local-scale inventory –Large differences in inventory databases Model Results –Results agree with observations –Background and mobile source contributions comparable and dominant contributors to risk –Point sources have impact when close to receptors Benzene results MWG_PRES_031604

57. 57 Hexavalent Chromium Cr (VI) Wilmington modeling domain 10km x 10km size (blue box) major road links - black lines census tracts centroids - black dots Sources of Cr (VI) emissions: Local-Scale (WAQS) - red symbols Statewide (CEIDARS) - blue triangles National (1996 NTI) - yellow triangles MWG_PRES_031604

58. 58 Cr (VI) emissions from stationary sources (0.5 x 0.5 km gridded for visualization) Local (Wilmington) State (CEIDARS) National (NATA96) Domain total = 12.9[lb/yr] Domain total = 162[lb/yr] Domain total = 75.9[lb/yr] 263 sources 45 sources 54 sources median = 0.0020 median = 0.0034 median = 0.0014 95% = 0.24 95% = 25.33 95% = 9.97 max = 1.76 max = 88.6 max = 27.6 ( Cr6 = 0.34 * Cr ) MWG_PRES_031604

59. 59 Comparison: Local vs. Statewide Inventory Cr (VI) Emissions X-axis: Statewide: (CEIDARS) Y-axis: Local-scale (Wilmington) Factor of 10 Factor of 2 Inventory identified, not in statewide MWG_PRES_031604

60. 60 Model results: Cr(VI) concentrations (point sources - black, background - white) Base case: national inventory (NTI’96) Emissions from point sources replaced by statewide inventory (CEIDARS) Emissions from point sources replaced by local-scale inventory (Wilmington) MWG_PRES_031604

61. 61 Emissions Inventory –Sources are more precisely located in statewide and local-scale inventory –Large differences in inventory databases Few sources account for almost all of difference, but moderate differences widespread at many sources Assuming 34% CrVI/Cr in NTI is simplified, conservative, has been improved in NTI’2001. WAQS has more sources than statewide, but fewer emissions Model Results –Results agree with observations –Point sources have impact when close to receptors Background appears consistent, low. CrVI results MWG_PRES_031604

62. 62 Key Question –What level of resolution in analysis is defensible? –What needs to be done to achieve required resolution? Potential Answer –Combination of inventory inputs and model sensitivity. Uncertainty Analysis Reports Case Study in Regulatory Modeling Applications - Atmospheric Environment, 2003 CRC Modeling Conference (2002) AWMA (2003) - Framework for Uncertainty Analysis. AWMA (2004) - DPM Uncertainty Analysis AWMA (2004) - NATA Conceptual Uncertainty Future Work MWG_PRES_031604

63. 63 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Model Status and Evaluation Local-scale uncertainty analysis Tracer study status Ongoing Work MWG_PRES_031604

64. 64 Tracer Experiments l Why tracer studies? – existing micro-scale models (such as ISCST3 and AERMOD) have been developed and evaluated using tracer studies not specific to California (Prairie Grass study in Nebraska and Kincaid study in Illinois – flat rural conditions, and in Indianapolis, Indiana - urban conditions). l What are we doing? – We are conducting new tracer studies focused on evaluating micro-scale models (ISCST3 and AERMOD) on both near-field and local scales. Results from these studies will help us understand model performance in California under study conditions and may lead to model refinement in the future. l What needs to be done in the future? – additional tracer experiments in California are required to analyze the full range of terrain / meteorological conditions in the state. l Models need to be evaluated in complex coastal urban conditions common to the Bay area; Models need to be evaluated on-road on a local scale. MWG_PRES_031604

65. 65 Databases for model evaluation: Tracer Experiments: 1)Near field tracer experiment in San Diego, Barrio Logan 2)Field study at Dugway Proving Ground, Utah 3)Near field tracer experiment in Riverside - CE-CERT dispersion experiment: trailer wake effect in an urban area 4)Tracer experiment in urban areas - ground level release in San Diego, Barrio Logan 5)Tracer experiment in urban areas - elevated level release in Los Angeles, Wilmington MWG_PRES_031604

66. 66 TRACER EXPERIMENTS IN WILMINGTON MWG_PRES_031604

67. 67 Wilmington Tracer Experiment - P.O.L.A.

68. 68 Wilmington Tracer Experiment - P.O.L.A.

69. 69 Sonic LADWP stack Sodar General map of the area MWG_PRES_031604

70. 70 l Pilot field study - conducted in September, 2003 l Meteorological measurements: sodars, sonic anemometers, temperature, relative humidity and solar radiation sensors l One daytime tracer release was performed between 8 a.m. and 2:30 p.m. on September 22 nd. l Afternoon/evening releases (3 p.m. - 11 p.m.) were performed on September 23 rd, 25 th and 26 th. l First three releases - using the 220 tall stack at the LADWP power plant and the fourth - “surface release (~ 3 m). l Tracer measurements: mobile van monitoring along several downwind transects and “bag sampler” samplers at three locations l Performance audits were conducted on the wind sensors and tracer gas analyzer Wilmington Tracer Pilot Study Status MWG_PRES_031604

71. 71 Model Evaluation - Tracer Study Reports: – Barrio Logan Tracer Study Final Report - under review – Barrio Logan Tracer Study Results - accepted, Atmospheric Environment – Wilmington Tracer Pilot Study Status Report – 2002-2003 Presentations: CRC, EPA, Working Group – Near-Field Modeling for Regulatory Applications - in press, Journal of the Air and Waste Management Association MWG_PRES_031604

72. 72 Outline Introduction and Overview –Objectives –Conceptual Plan Preliminary Results –Emissions Inventory Review Status and Preliminary Results –Model Status and Evaluation Local-scale uncertainty analysis Tracer study status Ongoing Work MWG_PRES_031604

73. 73 Model Evaluation and Planning - Regional Goal: minimize computing resources –Useful to determine the impact of grid cell size on model results Conducting sensitivity 4x4 vs. 12x12. –12x12 results drastically lower (factor 2-10 reduction in toxics) Compared 2x2 MATES-II vs ARB 4x4 regional –Results comparable Comparing 6x6, 2x2 to 4x4 results (in progress) –We are currently committed to 4x4 for statewide to leverage simultaneous, SIP-related work. –Need to determine how many vertical layers are necessary to generate reliable results Testing 7 layers vs. standard 17 (in progress) MWG_PRES_031604

74. 74 Toxics Monitoring Wilmington Toxics Monitoring –Goals: evaluate combined microscale and regional modeling results for diesel PM using monitored concentrations of diesel indicators Test methodology suggested in ARB meetings Focus on several sub-areas of Wilmington domain –Hawaiian Ave School and I110 impacts –Long Beach Port and I 710 impacts –San Pedro port impacts and complex meteorology Integrate results with other studies »PTSD Freeway, RD RAV4, POLA program –Status: study in progress MWG_PRES_031604

75. 75 Schedule and Plan Receive Port inventories - first quarter 04 Microscale modeling - summer 04 Research to support statewide - ongoing –depends on peer review and working group comments Research is focused on answering peer-review questions Publishing ensures feedback from scientific community –Makes peer-reviewers more confident of results Project report - mid-year 05 –Several reports Public consumption - e.g. Wilmington story Technical report –discussing results from modeling applications and associated research –recommendations for statewide effort –geared for working group and peer-reviewers MWG_PRES_031604