treasure valley road dust study: final report - ResearchGate

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a. b. Figure 4-1. Map of TRAKER Street Survey Route. a. Winter field study, b. summer field study. The black lines are streets that were traversed with the TRAKER. The gray area on the left is Canyon County and the thatched area on the right is Ada County. 4-8
Table 4-3. TRAKER street survey coverages by season, county, and road class. County Road Class kilometers covered with TRAKER County Road Class kilometers covered with TRAKER Ada Collector 62.0 Ada Collector 65.8 Ada Interstate 41.1 Ada Interstate 47.8 Ada Local/Residential 44.6 Ada Local/Residential 46.3 Ada Minor Arterial 60.9 Ada Minor Arterial 75.7 Ada Principal Arterial 51.9 Ada Principal Arterial 60.1 Ada Unpaved 14.9 Ada Unpaved 18.4 Ada All roads 275.4 Ada All roads 314.0 Canyon Collector 9.5 Canyon Collector 8.5 Canyon Interstate 30.3 Canyon Interstate 33.4 Canyon Local/Residential 15.3 Canyon Local/Residential 11.3 Canyon Minor Arterial 56.4 Canyon Minor Arterial 43.0 Canyon Principal Arterial 39.9 Canyon Principal Arterial 23.8 Canyon Unpaved 0.0 Canyon Unpaved 0.0 Canyon All roads 151.5 Canyon All roads 120.1 Ada & Canyon Winter All roads 426.9 Ada & Canyon Summer All roads 434.1 4.2.1.1 Effect of Speed and VMT The effect of vehicle speed and the volume of traffic per lane on road dust emissions potentials were assessed for all non-residential roads. Residential roads were not included because they are not physically represented in the Traffic Demand Model. Therefore, the associated speeds and traffic volumes were also not available for residentials. It is important to note that “speed” here refers to the speed attributed to the road in the Traffic Demand Model and not the speed of the TRAKER vehicle itself. The dependence of the emissions potential on speed and traffic volume was assumed to have the following form: b or equivalently, ? x ? y ? CC, S, T ? s ? v (4-7) log( b) ? lCC , S , T ? x? log( s) ? y? log( v) (4-8) where b is the emissions potential in units of [g/vkt/mps], C C,S,T is a constant that is specific to the county (Ada or Canyon), setting (urban or rural), and time of year (winter or summer), l C,S,T is the base 10 logarithm of C C,S,T , s is the road speed, v is the number of vehicles per lane per day, and x and y are positive empirical constants. The form of Eq (4-7) is appealing because as speed and traffic volume increase, the road dust emissions potential decreases, a result that is consistent with physical expectation. The results of regressions of log(b) vs. log(s) and log(v) are shown in Table 4-4. Three sets of linear regression results are shown in the Table: Log (b)vs. Log(s) and Log(v) shown as option 1 in the table, Log(b) vs. Log(s) only shown as option 2 in the table (assumes emissions potential independent of per lane traffic volume), and Log(b) vs. Log(v) only shown as option 3 in the table (assumes emissions potential independent of road speed). For each of the three 4-9
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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
Page 18 and 19: Table 5-3. Speeds and VKT by county
Page 20 and 21: Table A-28. Laboratory Silt Analysi
Page 22 and 23: ?? To assess the impact of winterti
Page 25 and 26: 2. SILT MEASUREMENTS For this study
Page 27 and 28: vehicle tires. The lengths of the s
Page 29 and 30: Figure 2-1. Map of Sample Collectio
Page 31 and 32: Table 2-5 Silt Content and Silt Loa
Page 33: collectors. In contrast, summer sil
Page 36 and 37: 3.2 TRAKER Measurements For the TVR
Page 38 and 39: introduced by the carbon vanes insi
Page 40 and 41: 3.2.4.1 Data Acquisition The TRAKER
Page 42 and 43: Figure 3-6 shows the TRAKER coeffic
Page 44 and 45: 250 200 PM2.5 signal (mg/m 3 ) 150
Page 46 and 47: Line losses associated with the Dus
Page 48 and 49: 1.2 1 Left Diluted Right Diluted Pr
Page 50 and 51: Table 3-2. Regression exponents for
Page 52 and 53: 3.4.2 Flux Calculation from Meteoro
Page 54 and 55: 12.2 m 0.16 9.0 m 0.05 5.7 m 0.22 4
Page 56 and 57: 400 Ford Ranger on NS Road by DW1 4
Page 58 and 59: ceiling can be further stretched to
Page 60 and 61: 100 sL = 2.5717(T*) 0.4741 R 2 = 0.
Page 62 and 63: 4.1.1 Converting TRAKER Data Into E
Page 64 and 65: Table 4-1. (cont) GIS coverages use
Page 66 and 67: Table 4-1. (cont) GIS coverages use
Page 70 and 71: egressions, R 2 and P-values are al
Page 72 and 73: Summer - Ada - Rural Summer - Ada -
Page 74 and 75: The average emissions factor is 6.7
Page 76 and 77: Figure 4-5. TRAKER Loop 4.3.1 Tempo
Page 78 and 79: weeks prior to being swept. While t
Page 80 and 81: 4.3.2 Meteorological Effects on Unp
Page 82 and 83: Section 1 Section 2 Section 3 Figur
Page 84 and 85: Figure 4-13. Johnston HSD mechanica
Page 86 and 87: Approximately 8 hours after the ini
Page 88 and 89: One-second emissions potentials (i.
Page 91 and 92: 5. EMISSIONS INVENTORIES FOR THE TR
Page 93 and 94: where E i.10 is the emissions in gr
Page 95 and 96: County Setting Road Class Speed (m/
Page 97 and 98: January, February, and March were u
Page 99 and 100: 5.1.3.2a January 1 - 9, 2000, 2010,
Page 101 and 102: Table 5-9 Precipitation and snow co
Page 103 and 104: complete link-level emissions inven
Page 105 and 106: Table 5-14. Distributions of averag
Page 107: Taken on an average annual basis, T
Page 110 and 111: Z n , K zn , ? c/ ? z n Z 3 , K z3
Page 112 and 113: Table 6-1. Aerodynamic particle siz
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Page 116 and 117: 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
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Table A-2. Summer 2001 Silt Samplin
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Table A-3. Laboratory Silt Analysis
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Figure A-3. Map of Silt Loading Loc
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Table A-10. Laboratory Silt Analysi
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Figure A-11. Sampling locations of
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APPENDIX B. BOISE PRECIPITATION AND
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Pecentile among days with precipita
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A.1 Wind speed The cumulative frequ
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APPENDIX C : EMISSIONS INVENTORIES:
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C.1.1.2a Field List for worksheets
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values specified by AP-42 and do no
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