treasure valley road dust study: final report - ResearchGate

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c. Year_2010_Emissions_Inventory_By_Silt.xls i. Emissions_By_Silt_Master_Table d. Year_2015_Emissions_Inventory_By_Silt.xls i. Emissions_By_Silt_Master_Table e. Year_2020_Emissions_Inventory_By_Silt.xls i. Emissions_By_Silt_Master_Table C.1.2.2 File Contents These files contain link-level paved road dust emissions in grams per day of PM 10 for Ada and Canyon Counties. Emissions have been calculated based on silt loading measurements conducted as part of the TVRDS and silt loadings specified as default values in AP-42. AP-42 does not prescribe a method for correcting paved road dust emissions for precipitation. Therefore, no corrections have been applied to the emissions in these data files. Emissions have been calculated using three different sets of values for silt loadings. “TVRDS1” uses silt loading values measured as part of the TVRDS with the assumption that silt loadings on freeways are equal to the AP-42 default value of 0.02 grams per square meter. “TVRDS2” uses the same values as “TVRDS1” except that the silt loading on freeways is assumed to be the same as for arterials (1.9 and 0.5 grams per square meter for winter and average annual conditions, respectively). “AP-42” simply uses the default values for silt loading for all road classes. ALL EMISSSIONS ARE REPORTED FOR WEEKEDAYS ONLY. The Subdirectory “Traffic_Demand_Model_Summaries” contains additional information to allow calculation of weekend emissions. The fields in the worksheets along with their descriptions are given below: C.1.2.2a Field list for worksheets a.i, b.i, c.i, and d.i PROJ: The year corresponding to the Traffic Demand Model projection FID_1: Feature ID in Traffic Demand Model Database. The feature ID and the projection year together uniquely identify a link in the traffic demand model. A: The ID number for the starting Node for the link B: The ID number for the Terminating Node for the link COUNTY: The county that the link is in. 1=Ada, 2= Canyon. TVRDS1_W_SL: Silt loading in Grams per square meter used to calculate winter conditions emissions factors as described in Equation 2-3 of the TVRDS report. Silt loadings for freeways are assumed to be equal to the AP-42 default value of 0.02 grams per meter squared. TVRDS1_Ave_SL: Silt loading in Grams per square meter used to calculate average daily conditions emissions factors as described in Equation 2-3 of the TVRDS report. Silt loadings for freeways are assumed to be equal to the AP-42 default value of 0.02 grams per meter squared. TRVDS2_W_SL: Silt loading in Grams per square meter used to calculate winter conditions emissions factors as described in Equation 2-3 of the TVRDS report. Silt loadings for freeways are assumed to be equal to those for arterials, 1.9 grams per meter squared. TVRDS2_Ave_SL: Silt loading in Grams per square meter used to calculate average daily conditions emissions factors as described in Equation 2-3 of the TVRDS report. Silt loadings for freeways are assumed to be equal to those for arterials, 0.5 grams per meter squared. AP-42_W_SL: Silt loading in Grams per square meter used to calculate winter conditions emissions factors as described in Equation 2-3 of the TVRDS report. These are the default C-4
values specified by AP-42 and do not correspond to any measurements conducted as part of the TVRDS. AP-42_Ave: Silt loading in Grams per square meter used to calculate average daily conditions emissions factors as described in Equation 2-3 of the TVRDS report. These are the default values specified by AP-42 and do not correspond to any measurements conducted as part of the TVRDS. TVRDS1_W_E: PM 10 winter conditions paved road dust emissions in grams per day calculated using TVRDS1 assumptions for silt loading TVRDS1_Ave_E: PM 10 average day paved road dust emissions in grams per day calculated using TVRDS1 assumptions for silt loading TVRDS2_W_E: PM 10 winter conditions paved road dust emissions ingrams per day calculated using TVRDS2 assumptions for silt loading TVRDS2_Ave_E: PM 10 average day paved road dust emissions in grams per day calculated using TVRDS2 assumptions for silt loading AP-42_W_E: PM 10 winter conditions paved road dust emissions in grams per day calculated using AP-42 assumptions for silt loading AP-42_Ave_E: PM 10 average day paved road dust emissions in grams per day calculated using AP-42 assumptions for silt loading C.1.3 Traffic_Demand_Model_Summaries C.1.3.1 File and worksheet list: a. TDM_2000_Summary.xls i. TDM_2000_Summary b. TDM_2010_Summary.xls i. TDM_Future_Summary c. TDM_2015_Summary.xls i. TDM_Future_Summary d. TDM_2020_Summary.xls i. TDM_Future_Summary e. Temporal_Correction_Factors.xls i. PM10 Plan Conversions C.1.3.2 File Contents Files a. through d. contain the link-level year-specific data for calculating road dust emissions. They contain fields for link speed, length, location, and setting. These four files are derived from the Traffic Demand Model network assembled by COMPASS for the years 2000, 2010, 2015, and 2020. File e. contains traffic volume correction factors to account for weekend/weekday and month to month differences. The data in file e. are needed to calculate emissions for specific days of the year. This file is derived from an Excel spreadsheet createdby ENVIRON for calculating temporal variations in road dust emissions. C.1.3.2a Field list for worksheets a.i, b.i, c.i, and d.i PROJ: The year corresponding to the Traffic Demand Model projection FID_1: Feature ID in Traffic Demand Model Database. The feature ID and the projection year together uniquely identify a link in the traffic demand model. A: The ID number for the starting Node for the link C-5
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TREASURE VALLEY ROAD DUST STUDY: FI
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EXECUTIVE SUMMARY The Idaho Departm
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TABLE OF CONTENTS 1. INTRODUCTION..
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6.3 DISCUSSION ....................
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are strongly correlated and that on
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Figure 4-17. Map of street sweeper
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xvi
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Table 5-3. Speeds and VKT by county
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Table A-28. Laboratory Silt Analysi
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?? To assess the impact of winterti
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2. SILT MEASUREMENTS For this study
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vehicle tires. The lengths of the s
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Figure 2-1. Map of Sample Collectio
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Table 2-5 Silt Content and Silt Loa
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collectors. In contrast, summer sil
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3.2 TRAKER Measurements For the TVR
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introduced by the carbon vanes insi
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3.2.4.1 Data Acquisition The TRAKER
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Figure 3-6 shows the TRAKER coeffic
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250 200 PM2.5 signal (mg/m 3 ) 150
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Line losses associated with the Dus
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1.2 1 Left Diluted Right Diluted Pr
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Table 3-2. Regression exponents for
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3.4.2 Flux Calculation from Meteoro
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12.2 m 0.16 9.0 m 0.05 5.7 m 0.22 4
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400 Ford Ranger on NS Road by DW1 4
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ceiling can be further stretched to
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100 sL = 2.5717(T*) 0.4741 R 2 = 0.
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4.1.1 Converting TRAKER Data Into E
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Table 4-1. (cont) GIS coverages use
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Table 4-1. (cont) GIS coverages use
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a. b. Figure 4-1. Map of TRAKER Str
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egressions, R 2 and P-values are al
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Summer - Ada - Rural Summer - Ada -
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The average emissions factor is 6.7
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Figure 4-5. TRAKER Loop 4.3.1 Tempo
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weeks prior to being swept. While t
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4.3.2 Meteorological Effects on Unp
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Section 1 Section 2 Section 3 Figur
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Figure 4-13. Johnston HSD mechanica
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Approximately 8 hours after the ini
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One-second emissions potentials (i.
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5. EMISSIONS INVENTORIES FOR THE TR
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where E i.10 is the emissions in gr
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County Setting Road Class Speed (m/
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January, February, and March were u
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5.1.3.2a January 1 - 9, 2000, 2010,
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Table 5-9 Precipitation and snow co
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complete link-level emissions inven
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Table 5-14. Distributions of averag
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Taken on an average annual basis, T
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Z n , K zn , ? c/ ? z n Z 3 , K z3
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Table 6-1. Aerodynamic particle siz
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14 m 0 s 15 s 30 s 60 s 120 s 240 s
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Furthermore, the vertical profile o
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?? Sieving each sample to obtain a
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7-4 Table 7-1. Source Profile Key M
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Table 6-1 (continued). Table of geo
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Treasure Valley Road Dust Winter Pa
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7.3 Source Profile Summary This a p
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Table 7-4. Source profiles of Summe
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Table 7-6. Source profiles of Winte
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Bliss experiments were significant
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section was swept with a vacuum swe
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8.3 Differences Between Emissions M
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determine at this time what fractio
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sweepers to reduce PM 10 emissions
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McMahon T.A., and P.J. Denison (197
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Figure A-1. Map of Sample Collectio
Page 148 and 149: Table A-2. Summer 2001 Silt Samplin
Page 150 and 151: Table A-3. Laboratory Silt Analysis
Page 152 and 153: Figure A-3. Map of Silt Loading Loc
Page 160 and 161: Table A-10. Laboratory Silt Analysi
Page 176 and 177: Figure A-11. Sampling locations of
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Page 193 and 194: A.1 Wind speed The cumulative frequ
Page 195 and 196: APPENDIX C : EMISSIONS INVENTORIES:
Page 197: C.1.1.2a Field List for worksheets
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