How Weather Affects the Noise You Hear from Highways (2018) / Chapter Skim
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From page 167... ...
C-1 Ken Kaliski, Ryan Haac, Kevin Hathaway, and Eddie Duncan, RSG Erik Salomons, TNO Darlene Reiter, Rennie Williamson, Geoffrey Pratt, and William Bowlby, Bowlby & Associates, Inc Roger Wayson and John McDonald, Wyle Jeff Snyder and John Zimmerman, Northeast Wind Aaron Hastings, Volpe A P P E N D I X C Data Collection Results and Statistical Analyses
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C-2 Contents C-3 Chapter C-1 Data Processing C-13 Chapter C-2 Statistical Analysis C-31 Chapter C-3 Quality Assurance/Quality Control C-33 Chapter C-4 Summary of Data Collection C-34 Chapter C-5 List of Variables C-39 Chapter C-6 A-Weighted Sound Levels and Wind Speed C-54 Chapter C-7 Variable Density Plots C-69 Chapter C-8 AERMET Variables vs Sound Level Difference Plots C-72 Chapter C-9 Sound Speed Profiles vs Adjusted Sound Level Difference C-84 Chapter C-10 Regression Model: Complete Results C-101 Chapter C-11 Spectrograms C-108 References
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C-3 Data Processing This section of the report discusses how data for each instrument was processed. A summary of the location of each sound level meter microphone and meteorological sensor is shown in Figure C-1 for the No-Barrier and Figure C-2 for the Barrier sites.
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C-4 How Weather Affects the Noise You Hear from Highways Figure C-1. No-Barrier microphones and met equipment.
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Appendix C: Data Collection Results and Statistical Analyses C-5 Figure C-3. Example chart showing 5-minute filtered and unfiltered LEQ, L90, and wind speed.
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C-6 How Weather Affects the Noise You Hear from Highways Figure C-6. Relative humidity and barometric pressure during measurements.
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Appendix C: Data Collection Results and Statistical Analyses C-7 Figure C-8. Radar traffic counter along I-17 frontage road, Barrier Site.
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C-8 How Weather Affects the Noise You Hear from Highways 7:15 am on March 3 to 7,609 vph from 16:45 to 17:45 on March 4. The percentage of heavy vehicles ranged from 1.8% during the afternoon peak hour of March 4 to 12.6% northbound at 6:00 am on March 2.
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Appendix C: Data Collection Results and Statistical Analyses C-9 Legend Figure C-13. ADOT ATR locations near the project.
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C-10 How Weather Affects the Noise You Hear from Highways a commuting mix with distinct morning and afternoon peak hours. The morning peak is typically dominated by southbound traffic toward the city, while the afternoon has heavier northbound traffic.
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Appendix C: Data Collection Results and Statistical Analyses C-11 Figure C-16. Average vehicle speed on I-17, Northern ATR, by direction.
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C-12 How Weather Affects the Noise You Hear from Highways Heat flux is a measure of the amount of heat gained or lost by the ground. This is a good indicator of vertical mixing, the temperature profile, and turbulence.
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C-13 Sound Speed Profile The adiabatic sound speed profile is the change in sound speed with height above ground, expressed as meters per second per meter, or s-1. A positive sound speed profile indicates increasing sound speed with height and thus downward refraction toward the receiver.
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C-14 How Weather Affects the Noise You Hear from Highways Heimann and Salomons categorized a lin and alog into categories and then modeled each category in a parabolic equation model to assess the resulting sound levels. They tested scenarios with 1, 4, 9, 25, 49, and 121 categories.
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Appendix C: Data Collection Results and Statistical Analyses C-15 Stability Condition Cloud Cover Variable Class Day 0 to 2/8 S1 -3/8 to 5/8 S2 6/8 to 8/8 S3 Night 5/8 to 8/8 S4 0 to 4/8 S5 Table C-4. Harmonoise stability classes.
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C-16 How Weather Affects the Noise You Hear from Highways D through F (or G) at night (neutral to stable)
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Figure C-19. Sound level "density" graph, showing the frequency of overall A-weighted LEQ by distance from highway for No-Barrier (left)
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C-18 How Weather Affects the Noise You Hear from Highways between the measured sound levels at the reference microphone and the field microphones (LMIC – LREF) , which will be referred to simply as "sound level difference." The regression model was specified with standardized regression coefficients using the scale function in the "R" development environment.
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Appendix C: Data Collection Results and Statistical Analyses C-19 We evaluated the ground type at both sites using photos and on-site observations. Although there is some sparse ground cover at the No Barrier site, we felt an effective flow resistivity (EFR)
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C-20 How Weather Affects the Noise You Hear from Highways periods are considered to be close to neutral as there were no completely neutral conditions (zero wind or temperature gradient) at the sites.
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Appendix C: Data Collection Results and Statistical Analyses C-21 Figure C-21. Comparison of TNM and measured sound levels at No-Barrier site, neutral conditions.
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C-22 How Weather Affects the Noise You Hear from Highways Figure C-22. Effective sound speed difference vs sound level difference at 240 m.
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Appendix C: Data Collection Results and Statistical Analyses C-23 Figure C-23. Effective sound speed profile vs adjusted sound level difference comparing No-Barrier and Barrier at 60 m (top)
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C-24 How Weather Affects the Noise You Hear from Highways Figure C-23. (Continued)
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Appendix C: Data Collection Results and Statistical Analyses C-25 Attenuation Tables The following tables group sound level differences into classes based on atmospheric stability, meteorological conditions, or a combination of these observations. The tables include the averaged sound level differences for each microphone for all valid 5-minute periods applicable to each respective category.
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C-26 How Weather Affects the Noise You Hear from Highways Temperature lapse rate describes the air temperature profile in the lower atmosphere. In this case, the aspirated thermometers at 1.8 and 7.6 meters above the ground at the 120-meter No-Barrier location were used to calculate a linear temperature profile, in °C/m.
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Table C-12. Differences in adjusted sound level difference relative to the calm/neutral condition, grouped by temperature condition.
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C-28 How Weather Affects the Noise You Hear from Highways microphone) arriving at the microphone.
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Appendix C: Data Collection Results and Statistical Analyses C-29 the Barrier site do not show a clear pattern in average sound level differences. The least amount of attenuation of sound between the reference microphone and a field microphone was observed for the moderate upwind Harmonoise Vector Class (V4)
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Table C-15. Average adjusted sound level difference grouped by linear and logarithmic gain.
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C-31 C H A P T E R C - 3 Automated Filtering As noted in Appendix B, initial data filtering was accomplished using a computer algorithm combined with manual review. The program used the following logic: • From notes it is known when individuals were at the positions and this data is compromised and removed from QA/QC data.
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C-32 How Weather Affects the Noise You Hear from Highways We assumed that periods with less than 300 samples addressed any anomalies that were shown in the spectrograms (Figure C-29)
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C-33 The preliminary data analysis was successful in identifying relationships between sound level difference (difference between the sound level at a microphone and the reference microphone) and meteorological variables.
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C-34 List of Variables C H A P T E R C - 5 There are 229 variables in the consolidated master data file. In addition, there is a separate file with vehicle mix and speed by ADOT counter.
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Appendix C: Data Collection Results and Statistical Analyses C-35 Table C-16. (Continued)
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C-36 How Weather Affects the Noise You Hear from Highways Table C-16. (Continued)
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Appendix C: Data Collection Results and Statistical Analyses C-37 Table C-16. (Continued)
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C-38 How Weather Affects the Noise You Hear from Highways Table C-16. (Continued)
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C-39 A-Weighted Sound Levels and Wind Speed Figures C-32–C-47 show 5-minute A-weighted sound levels and wind speed over time. The sound levels include: • Equivalent average unfiltered data (light blue)
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C-40 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-41 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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C-42 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-43 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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C-44 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-45 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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C-46 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-47 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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C-48 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-49 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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C-50 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 2/24 2/25 2/26 2/27 2/28 2/29 3/1 3/2 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-51 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 3/2 3/3 3/4 3/5 3/6 3/7 3/8 3/9 10 m et er W in d Sp ee d (m /s )
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C-52 How Weather Affects the Noise You Hear from Highways 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 3/2 3/3 3/4 3/5 3/6 3/7 3/8 3/9 10 m et er W in d Sp ee d (m /s )
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Appendix C: Data Collection Results and Statistical Analyses C-53 0 2 4 6 8 10 12 14 16 18 20 10 20 30 40 50 60 70 80 90 100 3/2 3/3 3/4 3/5 3/6 3/7 3/8 3/9 10 m et er W in d Sp ee d (m /s )
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C-54 C H A P T E R C - 7 This chapter contains "variable density plots" that show the relative frequency of the various data collected (Figures C-48–C-65)
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Appendix C: Data Collection Results and Statistical Analyses C-55 No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-48. Frequency of measured sound level differences from 15-meter microphone for 12.5 Hz to 25 Hz 1/3 octave bands.
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C-56 How Weather Affects the Noise You Hear from Highways No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-49. Frequency of measured sound level differences from 15-meter microphone for 31.5 Hz to 63 Hz 1/3 octave bands.
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Appendix C: Data Collection Results and Statistical Analyses C-57 No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-50. Frequency of measured sound level differences from 15-meter microphone for 80 Hz to 160 Hz 1/3 octave bands.
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C-58 How Weather Affects the Noise You Hear from Highways No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-51. Frequency of measured sound level differences from 15-meter microphone for 200 Hz to 400 Hz 1/3 octave bands.
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Appendix C: Data Collection Results and Statistical Analyses C-59 No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-52. Frequency of measured sound level differences from 15-meter microphone for 500 Hz to 1,000 Hz 1/3 octave bands.
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C-60 How Weather Affects the Noise You Hear from Highways No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-53. Frequency of measured sound level differences from 15-meter microphone for 1,250 Hz to 2,500 Hz 1/3 octave bands.
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Appendix C: Data Collection Results and Statistical Analyses C-61 No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-54. Frequency of measured sound level differences from 15-meter microphone for 3,150 Hz to 6,300 Hz 1/3 octave bands.
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C-62 How Weather Affects the Noise You Hear from Highways No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier No-Barrier Barrier Figure C-55. Frequency of measured sound level differences from 15-meter microphone for 8,000 Hz to 16,000 Hz 1/3 octave bands.
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Appendix C: Data Collection Results and Statistical Analyses C-63 No-Barrier Barrier Figure C-56. Frequency of measured sound level differences from 15-meter microphone for the 20,000 Hz 1/3 octave band.
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C-64 How Weather Affects the Noise You Hear from Highways Figure C-57. Turbulence intensity and vector wind speed frequency of measurement.
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Appendix C: Data Collection Results and Statistical Analyses C-65 Figure C-58. Three classes of alin (480-meter mic left, 960-meter mic right)
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C-66 How Weather Affects the Noise You Hear from Highways Figure C-60. Five classes of alin (480-meter mic left, 960-meter mic right)
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Appendix C: Data Collection Results and Statistical Analyses C-67 Figure C-62. Concawe meteorological class (480-meter mic left, 960-meter mic right)
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C-68 How Weather Affects the Noise You Hear from Highways Figure C-64. Temperature profile class (from upward to downward refraction)
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C-69 C H A P T E R C - 8 Figures C-66–C-68 show plots of the A-weighted sound level difference from the 15-meter microphone position as a function of various parameters available from AERMET, and distance from the highway. AERMET Variables vs Sound Level Difference Plots Figure C-66.
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C-70 How Weather Affects the Noise You Hear from Highways Figure C-67. Adjusted sound level difference vs friction velocity (No-Barrier above, Barrier below)
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Appendix C: Data Collection Results and Statistical Analyses C-71 Figure C-68. Adjusted sound level difference vs Obukhov length (No-Barrier above, Barrier below)
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C-72 Sound Speed Profiles vs Adjusted Sound Level Difference C H A P T E R C - 9 Figure C-69. Sound level difference by effective sound speed profile 1.8- to 10-meter height for No-Barrier (above)
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Appendix C: Data Collection Results and Statistical Analyses C-73 Figure C-70. Sound level difference by effective sound speed profile 30- to 44-meter height for No-Barrier (above)
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C-74 How Weather Affects the Noise You Hear from Highways Figure C-71. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 30-meter position -- No-Barrier.
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Appendix C: Data Collection Results and Statistical Analyses C-75 Figure C-72. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 60-meter position -- No-Barrier.
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C-76 How Weather Affects the Noise You Hear from Highways Figure C-73. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 120-meter position -- No-Barrier.
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Appendix C: Data Collection Results and Statistical Analyses C-77 Figure C-74. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 240-meter position -- No-Barrier.
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C-78 How Weather Affects the Noise You Hear from Highways Figure C-75. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 480-meter position -- No-Barrier.
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Appendix C: Data Collection Results and Statistical Analyses C-79 Figure C-76. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 960-meter position -- No-Barrier.
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C-80 How Weather Affects the Noise You Hear from Highways Figure C-77. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 60-meter position -- Barrier.
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Appendix C: Data Collection Results and Statistical Analyses C-81 Figure C-78. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 90-meter position -- Barrier.
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C-82 How Weather Affects the Noise You Hear from Highways Figure C-79. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 120-meter position -- Barrier.
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Appendix C: Data Collection Results and Statistical Analyses C-83 Figure C-80. Sound level difference by effective sound speed profile 1.8- to 10-meter height, by frequency at 150-meter position -- Barrier.
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C-84 C H A P T E R C - 1 0 Tables C-17–C-37 depict results of the regression model for all valid 5-minute periods by LAEQ and each one-third octave band, which represent the difference between the measured sound levels at the reference microphone and the field microphones (LMIC – LREF)
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Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.24 0.86 433.7 572.9 21.0 223.0 4.6 41.9 6.8 1.7 2.8 59.4 20 0.15 0.75 135.3 379.3 11.5 174.5 3.2 11.0 8.8 3.7 7.3 9.4 25 0.33 0.81 54.1 417.9 12.3 202.9 20.8 21.1 11.9 0.7 1.7 13.4 31.5 0.30 0.82 185.8 403.0 22.7 213.6 5.9 26.1 8.4 0.4 10.4 20.0 40 0.34 0.84 239.9 395.7 28.4 220.8 1.7 26.1 2.3 4.5 9.8 26.0 50 0.31 0.82 272.2 372.0 28.7 201.2 0.7 21.0 1.0 10.5 2.9 30.7 63 0.29 0.79 307.5 347.0 27.0 182.3 1.8 11.3 2.3 14.5 1.8 25.6 80 0.27 0.84 287.4 409.7 24.5 224.0 1.2 13.6 4.8 8.0 3.4 31.0 100 0.25 0.84 274.4 417.3 22.7 226.3 1.7 13.8 5.7 7.6 3.5 30.6 125 0.24 0.83 288.8 423.0 21.6 215.1 0.8 7.1 5.9 7.5 4.4 29.4 160 0.21 0.82 305.5 447.8 19.6 213.9 1.1 3.4 6.4 3.0 4.1 30.7 200 0.23 0.82 355.2 493.6 21.9 217.1 3.5 3.0 5.5 3.0 3.0 28.9 250 0.19 0.81 345.0 520.6 19.2 205.5 5.0 3.6 5.3 7.9 1.1 34.6 315 0.15 0.81 364.0 570.7 15.9 205.6 2.7 9.7 5.6 11.4 1.7 41.5 400 0.25 0.76 402.7 533.3 19.1 169.1 8.7 19.3 6.7 11.8 4.8 47.4 500 0.39 0.75 424.8 484.5 25.7 150.6 11.8 35.9 6.9 9.4 8.4 55.0 630 0.39 0.79 441.4 468.6 26.2 152.5 11.8 50.7 8.4 6.3 7.3 62.2 800 0.26 0.83 428.5 480.0 18.6 174.9 9.8 60.4 9.2 2.2 3.3 65.4 1000 0.17 0.85 419.3 497.0 15.7 200.1 6.6 57.8 7.8 0.8 0.2 63.5 1250 0.21 0.85 411.9 491.5 19.6 209.4 6.2 48.6 5.8 2.1 0.9 59.0 1600 0.19 0.85 391.1 483.2 18.5 209.8 7.1 39.1 4.0 3.8 5.3 54.6 2000 0.15 0.85 369.0 503.7 16.3 223.0 6.9 33.2 1.5 3.8 6.0 48.3 2500 0.08 0.86 340.7 537.0 12.2 237.7 1.6 30.8 0.2 0.7 2.1 41.8 3150 0.08 0.86 299.8 581.3 8.8 240.0 7.6 25.6 1.2 1.4 7.0 31.0 4000 0.12 0.84 217.4 606.3 5.0 224.5 13.8 25.0 0.1 5.1 10.5 22.1 5000 0.15 0.76 214.3 558.5 2.6 173.0 15.2 26.1 0.6 6.0 13.8 18.2 6300 0.12 0.62 201.9 495.2 3.9 121.0 11.4 27.7 0.8 5.4 13.0 18.7 8000 0.08 0.43 225.9 418.2 7.0 70.5 1.9 28.3 1.4 3.3 8.8 21.3 10000 0.23 0.33 208.4 375.4 16.1 33.0 12.6 34.2 0.5 1.5 3.8 24.6 O ne -t hi rd O ct av e Ba nd C en te r F re qu en cy (H z) R-squared Values Absolute Value of T-Statistics Dependent Variables V Independent Variables -> Intercept Log(Microphone Distance)
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Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.07 -9.89 -6.14 -11.86 -13.88 -15.29 -16.41 -17.54 -17.79 -19.34 -21.38 -24.76 -27.53 -27.63 -25.92 -24.55 -23.70 -22.98 -24.01 -25.08 -25.98 -26.62 -26.83 -26.96 -25.80 -25.38 -24.78 -24.47 -22.70 Log(Microphone Distance) -1.16 -0.84 -1.39 -1.45 -1.64 -1.61 -1.44 -1.49 -1.47 -1.45 -1.37 -1.53 -1.53 -1.21 -1.23 -1.49 -1.41 -1.00 -0.90 -1.20 -1.23 -1.18 -0.96 -0.79 -0.59 0.31 0.48 -0.75 -1.75 Temperature Lapse Rate -0.28 -0.26 -2.57 -0.41 -0.11 -0.04 -0.11 -0.08 -0.12 -0.06 0.09 0.27 0.43 -0.22 -0.61 -0.74 -0.69 -0.57 -0.41 -0.41 -0.51 -0.54 0.13 0.75 1.79 1.95 1.52 -0.22 -1.49 Wind Dispersion (2m)
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Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.24 0.86 436.1 578.3 21.0 225.1 5.9 53.6 2.1 63.2 7.0 1.8 20 0.15 0.75 135.5 380.7 11.4 175.4 2.5 15.1 7.7 9.7 9.0 5.3 25 0.31 0.81 53.5 421.4 12.2 204.7 20.6 27.2 3.2 14.5 12.7 3.9 31.5 0.30 0.83 185.8 407.6 22.6 216.0 4.4 34.0 10.3 21.5 8.9 3.9 40 0.34 0.84 240.7 400.0 28.4 223.4 0.6 35.1 10.3 27.5 2.5 7.8 50 0.31 0.82 272.4 374.8 28.7 203.1 0.5 30.4 3.2 31.5 1.0 12.6 63 0.29 0.79 307.7 348.1 27.0 183.5 2.4 18.9 1.6 25.4 2.4 15.1 80 0.27 0.84 288.5 411.1 24.5 225.3 1.5 21.7 3.4 31.1 4.9 8.0 100 0.25 0.84 276.4 418.4 22.7 227.5 2.2 20.6 3.5 31.0 5.8 7.9 125 0.24 0.83 290.0 423.7 21.6 216.3 1.4 15.8 4.3 28.4 6.1 5.4 160 0.21 0.82 306.6 447.6 19.5 214.9 0.7 12.7 4.1 29.1 6.6 0.9 200 0.23 0.82 355.2 493.5 21.8 218.1 2.7 12.6 2.3 27.2 5.9 7.7 250 0.19 0.81 344.7 519.9 19.1 206.4 4.3 15.6 0.3 32.3 5.7 14.1 315 0.15 0.81 364.9 571.4 15.9 207.0 3.6 24.1 1.2 39.5 5.8 17.5 400 0.25 0.77 404.3 536.9 19.1 171.0 10.2 33.9 4.5 47.0 6.8 16.0 500 0.39 0.76 426.4 490.6 25.7 152.5 13.9 49.5 8.3 57.5 7.0 8.8 630 0.39 0.79 443.0 473.3 26.2 153.4 13.5 62.1 7.4 67.3 8.4 1.0 800 0.26 0.83 430.7 479.8 18.5 173.8 11.1 67.9 3.1 72.1 9.2 7.0 1000 0.17 0.85 422.2 493.2 15.7 197.7 7.5 61.9 0.9 70.1 8.0 10.6 1250 0.21 0.85 414.8 489.4 19.6 208.0 7.2 53.1 1.7 64.6 5.9 9.8 1600 0.19 0.85 394.1 483.0 18.5 209.5 7.4 44.5 6.1 59.0 4.1 9.2 2000 0.16 0.85 371.3 503.2 16.3 222.7 6.9 36.8 6.6 52.4 1.4 8.6 2500 0.07 0.86 341.2 536.5 12.1 237.5 0.8 33.7 1.5 45.7 0.0 5.2 3150 0.07 0.86 299.5 580.4 8.7 239.6 6.5 26.3 6.4 34.7 0.8 2.8 4000 0.11 0.83 216.3 604.1 4.8 223.4 12.3 23.6 9.8 26.1 0.6 0.3 5000 0.15 0.75 213.6 556.0 2.7 171.7 13.5 24.7 13.3 22.2 0.2 0.6 6300 0.12 0.62 201.7 493.4 4.0 119.8 9.9 27.4 12.8 22.6 0.3 0.2 8000 0.08 0.43 226.2 417.6 6.9 69.6 2.9 29.7 9.2 24.8 1.4 2.1 10000 0.22 0.33 207.8 374.5 16.1 31.7 13.0 35.9 4.6 28.7 0.9 5.4 R-squared Values Absolute Value of T-Statistics O ne -th ird O ct av e Ba nd C en te r F re qu en cy (H z) Dependent Variables V Independent Variables -> Intercept Log(MicDist)
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From page 254... ...
Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.1 -9.89 -6.13 -11.86 -13.87 -15.29 -16.41 -17.54 -17.79 -19.33 -21.37 -24.76 -27.52 -27.63 -25.91 -24.54 -23.70 -22.97 -24.01 -25.07 -25.98 -26.61 -26.83 -26.95 -25.80 -25.38 -24.78 -24.47 -22.69 Log(Microphone Distance) -1.16 -0.83 -1.40 -1.44 -1.64 -1.61 -1.44 -1.49 -1.46 -1.44 -1.36 -1.52 -1.52 -1.20 -1.22 -1.48 -1.40 -0.99 -0.89 -1.19 -1.22 -1.17 -0.95 -0.79 -0.58 0.32 0.49 -0.75 -1.75 Linear Gain (Alin)
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From page 255... ...
Appendix C: Data Collection Results and Statistical Analyses C-89 Model 3 Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.24 0.86 434.3 567.6 21.0 222.6 7.2 68.2 7.5 5.7 20 0.13 0.75 133.4 382.0 11.4 176.1 1.3 16.3 11.7 5.2 25 0.31 0.81 53.5 422.2 12.2 205.1 22.4 28.0 14.2 3.3 31.5 0.26 0.83 180.4 408.8 22.2 216.8 0.8 36.4 12.4 3.7 40 0.31 0.84 234.8 401.5 27.9 224.6 4.5 39.9 5.6 8.4 50 0.31 0.82 271.7 375.4 28.7 204.1 1.1 37.6 0.1 14.3 63 0.29 0.78 307.6 348.3 27.0 184.4 3.3 25.9 2.8 17.2 80 0.27 0.84 287.0 409.7 24.4 225.5 3.4 30.3 6.0 10.5 100 0.25 0.84 274.0 416.6 22.6 227.6 4.2 29.4 7.0 10.5 125 0.23 0.82 288.0 421.5 21.5 216.3 3.8 24.6 7.5 8.1 160 0.20 0.82 304.4 443.7 19.5 214.2 1.6 22.3 8.1 2.2 200 0.22 0.82 354.0 490.2 21.8 217.8 1.4 21.4 7.1 4.8 250 0.19 0.80 344.3 514.2 19.1 205.5 4.1 25.8 6.5 10.8 315 0.15 0.81 364.3 563.9 15.9 205.9 4.4 35.5 6.2 13.9 400 0.25 0.76 403.2 529.3 19.1 170.2 12.7 46.3 7.6 12.3 500 0.38 0.75 423.9 484.0 25.6 152.1 18.3 63.0 8.5 5.2 630 0.39 0.78 440.8 466.3 26.1 152.8 17.5 76.8 9.8 2.7 800 0.26 0.82 429.2 472.0 18.6 172.6 12.9 83.2 9.7 10.8 1000 0.17 0.84 419.6 483.3 15.7 195.5 7.2 77.4 7.5 14.5 1250 0.21 0.84 412.0 479.0 19.7 205.2 6.4 68.1 5.1 13.8 1600 0.17 0.84 387.2 472.4 18.4 206.6 4.4 59.1 1.8 13.3 2000 0.13 0.85 364.4 493.2 16.2 220.0 3.6 50.5 1.0 12.5 2500 0.07 0.86 340.3 529.9 12.1 236.0 0.1 45.6 0.6 8.6 3150 0.04 0.85 294.6 577.6 8.6 239.6 3.0 35.5 1.6 5.3 4000 0.04 0.83 208.1 604.8 4.6 224.5 6.9 30.0 4.4 1.2 5000 0.03 0.75 200.8 557.9 2.6 172.8 6.1 29.3 4.9 0.2 6300 0.02 0.62 191.6 495.2 3.9 120.6 3.0 31.6 4.1 0.8 8000 0.06 0.43 222.9 419.1 6.8 70.2 7.7 34.4 0.9 2.7 10000 0.22 0.33 207.9 375.9 16.1 32.2 15.6 41.0 0.7 6.0 R-squared Values Absolute Value of T-Statistics O ne -th ird O ct av e Ba nd C en te r F re qu en cy (H z) Dependent Variables V Independent Variables -> Intercept Log(MicDist)
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From page 256... ...
Model 3 Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.07 -9.89 -6.13 -11.85 -13.87 -15.29 -16.42 -17.54 -17.80 -19.34 -21.38 -24.77 -27.53 -27.63 -25.92 -24.55 -23.71 -22.98 -24.01 -25.08 -25.98 -26.61 -26.83 -26.96 -25.82 -25.40 -24.80 -24.48 -22.70 Log(Microphone Distance) -1.16 -0.85 -1.40 -1.46 -1.65 -1.62 -1.44 -1.49 -1.47 -1.44 -1.37 -1.52 -1.53 -1.21 -1.23 -1.48 -1.41 -0.99 -0.90 -1.20 -1.24 -1.18 -0.95 -0.78 -0.57 0.33 0.51 -0.74 -1.75 c_eff Profile (1.8 to 10m)
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From page 257... ...
Appendix C: Data Collection Results and Statistical Analyses C-91 Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.88 0.82 267.4 443.6 131.3 248.7 2.9 54.4 1.4 0.5 20 0.63 0.67 125.3 295.6 63.3 174.7 5.0 25.2 6.8 10.1 25 0.31 0.67 47.9 270.1 27.1 170.4 11.0 23.8 0.9 9.3 31.5 0.77 0.65 169.8 263.3 88.3 163.7 0.1 36.4 4.8 12.5 40 0.85 0.63 219.4 243.6 113.7 153.6 1.9 38.8 5.5 10.8 50 0.87 0.64 242.7 249.7 124.5 155.9 3.2 39.5 1.7 5.3 63 0.88 0.64 259.5 255.8 131.3 158.0 1.5 33.9 2.6 2.1 80 0.86 0.69 240.8 284.2 121.7 179.8 0.4 38.1 4.2 6.0 100 0.86 0.74 236.5 314.7 119.3 200.4 1.5 38.0 4.6 2.8 125 0.86 0.77 237.2 351.8 118.8 219.1 1.8 36.5 3.5 4.0 160 0.86 0.78 236.8 380.5 117.7 230.9 0.5 35.5 3.4 9.3 200 0.87 0.80 256.4 412.7 127.2 241.7 0.6 34.4 1.4 16.6 250 0.87 0.79 248.8 417.5 122.8 234.2 0.5 35.7 0.5 21.8 315 0.86 0.81 244.3 462.1 119.4 251.4 2.8 40.3 0.8 21.0 400 0.87 0.82 259.9 485.4 127.3 254.6 4.5 46.3 3.2 14.5 500 0.89 0.80 280.2 452.2 138.8 236.2 5.4 54.5 5.4 2.8 630 0.89 0.79 281.3 421.0 139.2 222.9 4.7 60.4 5.0 6.3 800 0.87 0.80 259.8 415.3 126.9 228.4 4.2 62.8 2.6 13.9 1000 0.87 0.81 251.9 414.4 122.6 236.2 3.7 59.1 0.2 14.4 1250 0.88 0.81 261.7 415.7 128.5 242.4 3.8 54.7 0.9 12.3 1600 0.87 0.81 255.2 415.9 125.3 244.4 2.9 49.5 2.7 9.7 2000 0.86 0.82 245.6 431.5 120.3 255.2 1.8 43.8 3.2 7.1 2500 0.84 0.84 227.2 466.3 110.4 275.8 1.0 40.1 1.9 4.2 3150 0.82 0.86 210.9 516.1 102.0 296.7 0.3 32.7 0.4 0.2 4000 0.75 0.85 172.2 528.0 82.9 291.2 0.5 26.8 0.7 3.7 5000 0.70 0.80 159.5 472.5 74.8 244.0 2.0 24.6 2.9 5.1 6300 0.68 0.71 152.5 399.1 71.1 192.0 2.3 25.7 4.0 5.8 8000 0.77 0.59 181.4 325.5 88.0 144.6 2.3 28.8 3.3 6.6 10000 0.79 0.48 183.8 271.6 92.3 111.3 5.9 30.7 3.5 4.6 R-squared Values Absolute Value of T-Statistics O ne -th ird O ct av e Ba nd C en te r F re qu en cy (H z) Dependent Variables V Independent Variables -> Intercept Scaled Log(MicDist)
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From page 258... ...
Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.06 -9.84 -5.87 -11.79 -13.83 -15.26 -16.41 -17.52 -17.78 -19.34 -21.39 -24.77 -27.56 -27.60 -25.86 -24.51 -23.67 -22.94 -23.98 -25.05 -25.95 -26.61 -26.94 -27.14 -26.08 -25.71 -25.10 -24.61 -22.65 Log(Microphone Distance) -1.17 -0.79 -1.42 -1.41 -1.61 -1.59 -1.44 -1.50 -1.48 -1.45 -1.38 -1.53 -1.51 -1.19 -1.23 -1.49 -1.41 -1.00 -0.91 -1.20 -1.24 -1.19 -0.95 -0.79 -0.59 0.19 0.34 -0.87 -1.81 c_eff Profile (30 to 44m)
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From page 259... ...
Model 5 Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.26 0.87 421.2 564.3 20.6 218.6 8.1 49.4 5.9 14.8 0.6 33.1 20 0.17 0.74 131.4 356.0 10.6 163.1 8.6 7.3 9.8 10.7 9.8 5.0 25 0.43 0.80 55.5 393.3 13.1 190.5 26.6 21.2 18.0 9.8 2.7 2.7 31.5 0.29 0.83 177.3 384.0 21.3 203.2 6.6 28.9 9.7 10.8 10.1 5.5 40 0.33 0.84 231.1 379.6 27.0 211.8 5.7 30.0 2.9 15.8 11.0 10.1 50 0.32 0.82 264.9 357.0 27.7 193.7 6.6 25.0 0.6 20.9 5.9 16.5 63 0.30 0.79 297.2 331.3 26.2 175.2 5.1 11.5 1.9 22.9 0.9 17.3 80 0.27 0.85 274.5 393.3 23.6 216.1 2.5 18.7 4.6 13.8 2.2 19.7 100 0.26 0.85 267.0 400.4 22.3 218.1 5.5 18.0 5.5 14.0 0.7 19.2 125 0.25 0.83 280.7 406.8 21.2 208.2 4.1 14.0 5.8 9.7 1.8 20.1 160 0.21 0.83 295.4 430.3 19.1 206.9 3.9 12.5 6.7 1.9 0.6 21.7 200 0.22 0.83 341.4 477.1 21.2 210.7 0.5 13.4 6.2 6.1 1.0 19.8 250 0.18 0.82 334.8 504.2 18.5 199.6 0.3 16.7 6.3 13.3 1.7 23.9 315 0.17 0.82 357.1 559.2 15.4 201.3 7.2 25.5 5.2 15.8 1.4 26.9 400 0.30 0.78 404.0 531.1 19.2 167.1 13.0 36.0 5.2 12.3 0.9 28.8 500 0.43 0.78 422.8 485.8 25.7 148.7 14.9 49.7 4.7 0.1 4.3 30.5 630 0.42 0.81 435.7 468.6 26.0 149.7 14.5 61.0 6.3 12.7 3.1 32.3 800 0.29 0.84 420.1 469.7 18.3 168.7 13.0 64.2 7.4 24.1 0.5 32.4 1000 0.19 0.86 406.1 474.1 15.4 189.4 9.7 55.5 6.5 27.8 3.2 32.1 1250 0.21 0.86 396.0 466.8 19.1 198.1 8.0 45.4 4.5 25.5 3.1 31.8 1600 0.19 0.85 374.4 459.8 18.0 199.2 7.7 36.3 2.6 23.0 6.6 31.6 2000 0.16 0.85 354.1 479.1 15.9 211.6 7.3 29.0 0.2 20.9 7.5 29.1 2500 0.08 0.86 336.2 511.3 11.9 225.5 1.5 26.3 0.0 16.0 1.2 24.7 3150 0.05 0.86 293.7 552.5 8.6 226.7 2.4 20.6 0.3 11.2 3.1 18.0 4000 0.05 0.83 210.0 573.9 4.8 210.2 6.8 21.5 2.0 5.8 6.3 10.2 5000 0.05 0.75 204.6 530.3 1.5 161.3 7.1 25.6 2.2 4.1 8.2 5.6 6300 0.04 0.63 195.4 475.4 2.7 113.0 5.1 31.5 1.3 4.4 7.9 4.0 8000 0.10 0.46 224.0 408.8 7.8 65.8 6.5 35.1 2.0 6.6 3.6 5.2 10000 0.25 0.37 203.3 364.2 16.2 28.8 13.9 41.7 3.2 11.1 0.4 5.7 R-squared Values Absolute Value of T-Statistics O ne -t hi rd O ct av e Ba nd C en te r F re qu en cy (H z) Dependent Variables V Independent Variables -> Intercept Log(MicDist)
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From page 260... ...
Model 5 Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.07 -9.91 -5.92 -11.86 -13.90 -15.30 -16.42 -17.51 -17.78 -19.33 -21.39 -24.77 -27.58 -27.62 -25.86 -24.49 -23.66 -22.95 -24.01 -25.08 -26.01 -26.68 -26.95 -27.10 -25.99 -25.60 -25.00 -24.58 -22.65 Log(Microphone Distance) -1.17 -0.80 -1.39 -1.42 -1.61 -1.59 -1.44 -1.50 -1.47 -1.45 -1.37 -1.53 -1.51 -1.19 -1.22 -1.48 -1.40 -0.99 -0.90 -1.20 -1.24 -1.19 -0.95 -0.79 -0.59 0.19 0.34 -0.85 -1.79 Linear c_profile (5 to 30m)
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From page 261... ...
Model 6 Table C-32. Linear regression model results using AERMET parameters: R2 values and T-statistics.
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From page 262... ...
Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.1 -9.9 -6.1 -11.8 -13.9 -15.3 -16.4 -17.5 -17.8 -19.3 -21.4 -24.8 -27.5 -27.6 -25.9 -24.5 -23.7 -23.0 -24.0 -25.1 -26.0 -26.6 -26.8 -27.0 -25.8 -25.4 -24.8 -24.5 -22.7 Log(Microphone Distance) -1.18 -0.84 -1.38 -1.45 -1.64 -1.62 -1.45 -1.50 -1.48 -1.46 -1.38 -1.53 -1.53 -1.22 -1.24 -1.50 -1.42 -1.01 -0.91 -1.21 -1.25 -1.20 -0.97 -0.80 -0.60 0.31 0.49 -0.75 -1.75 Vector Wind Speed (10m)
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From page 263... ...
Model 7 Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier Barrier NoBarrier LAeq 0.25 0.91 418.2 717.4 20.2 328.7 0.8 42.8 4.2 1.9 3.9 21.9 4.0 45.5 4.7 63.7 20 0.11 0.84 126.6 471.4 10.5 252.1 0.2 16.9 1.6 7.0 1.9 10.5 10.2 30.8 10.1 37.1 25 0.30 0.89 49.2 535.7 11.6 306.4 10.8 23.3 2.4 10.2 4.3 13.7 10.8 36.2 10.3 44.9 31.5 0.23 0.90 172.2 533.7 20.7 334.5 4.1 27.6 0.5 8.1 3.7 14.7 6.8 38.6 7.5 48.6 40 0.30 0.91 227.5 522.0 26.6 343.8 0.2 27.7 1.7 2.2 2.2 13.2 4.9 29.9 5.1 38.8 50 0.32 0.90 266.7 486.6 27.8 320.1 0.6 26.4 3.9 5.5 0.5 12.9 2.5 29.8 2.2 38.7 63 0.30 0.87 301.4 436.7 26.3 283.2 1.5 16.2 5.7 7.0 0.0 7.0 0.3 23.4 0.0 29.9 80 0.25 0.88 273.2 471.9 23.2 298.4 0.6 9.9 2.6 8.4 0.3 5.2 2.0 22.7 2.4 33.4 100 0.26 0.90 269.4 510.1 22.2 324.3 0.2 15.6 6.4 7.4 2.1 9.3 3.4 37.7 3.9 50.3 125 0.24 0.89 282.5 517.8 21.0 309.7 0.5 12.9 4.7 6.9 0.8 7.7 4.2 41.9 4.7 55.2 160 0.20 0.87 292.2 530.5 18.6 291.1 0.1 10.0 4.2 6.2 0.4 7.2 4.0 35.8 4.5 48.1 200 0.21 0.87 337.5 582.7 20.7 286.1 2.3 7.3 3.9 4.2 1.6 6.1 1.9 32.5 2.3 44.4 250 0.17 0.85 335.9 596.9 18.4 260.6 2.2 4.7 1.6 1.7 0.0 4.8 2.6 27.8 2.9 39.9 315 0.16 0.85 354.9 659.5 15.2 263.0 0.5 10.9 3.2 2.7 1.9 7.0 3.5 43.4 4.0 59.5 400 0.28 0.83 397.4 663.0 18.6 237.6 2.6 21.6 3.1 5.9 1.5 12.1 3.4 53.9 4.3 73.1 500 0.41 0.85 415.9 644.5 24.9 232.9 4.4 39.5 3.0 6.9 1.8 19.2 3.5 58.1 4.7 79.0 630 0.41 0.87 432.0 637.3 25.3 249.7 4.0 53.2 4.2 4.0 2.5 25.3 5.7 50.8 6.8 71.1 800 0.29 0.89 419.4 617.8 18.0 274.7 1.2 55.9 4.9 3.3 3.9 27.7 6.9 36.0 7.8 53.3 1000 0.19 0.89 405.7 600.6 15.1 294.7 1.7 51.6 4.3 7.8 4.9 26.1 5.3 31.1 5.9 45.8 1250 0.22 0.90 398.1 593.9 19.0 308.0 2.6 48.5 2.7 7.6 5.7 24.7 3.3 34.2 3.9 47.3 1600 0.18 0.90 374.1 601.9 17.7 315.4 2.7 43.4 3.0 9.3 6.1 22.1 3.7 26.9 3.9 37.0 2000 0.15 0.91 352.5 651.6 15.6 327.3 1.0 40.4 4.7 10.3 5.2 19.0 2.7 19.8 2.5 27.3 2500 0.09 0.90 337.5 673.9 11.9 308.7 3.5 34.8 2.6 8.9 5.0 14.8 1.2 10.6 1.3 16.4 3150 0.06 0.85 295.6 634.8 8.8 245.9 5.7 25.6 2.0 9.4 4.9 10.4 1.2 4.8 0.8 9.4 4000 0.06 0.78 212.7 612.3 5.2 194.3 8.1 19.9 2.6 7.0 5.0 8.0 1.7 1.9 1.1 7.0 5000 0.04 0.68 205.5 595.3 1.0 148.2 7.0 18.9 2.5 4.3 4.4 7.6 4.0 1.0 3.5 7.1 6300 0.03 0.54 196.0 560.4 2.2 101.2 4.4 18.7 1.3 1.5 3.2 7.0 5.3 2.5 4.9 4.7 8000 0.10 0.39 224.7 507.3 8.0 56.9 1.4 20.6 0.5 1.2 1.2 7.1 5.8 3.4 5.3 4.2 10000 0.25 0.34 202.9 467.6 16.1 24.8 6.5 24.9 1.6 3.4 1.2 8.8 4.4 3.3 3.9 4.9 c_eff Profile (30 to 44 m)
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From page 264... ...
Standardized Coefficients LAeq 20 25 31.5 40 50 63 80 100 125 160 200 250 315 400 500 630 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10k Intercept -24.1 -9.8 -5.8 -11.8 -13.8 -15.2 -16.4 -17.5 -17.8 -19.3 -21.4 -24.8 -27.6 -27.6 -25.9 -24.5 -23.7 -22.9 -24.0 -25.1 -26.0 -26.6 -26.9 -27.1 -26.0 -25.7 -25.1 -24.6 -22.6 Log(Microphone Distance) -1.16 -0.81 -1.37 -1.41 -1.62 -1.59 -1.43 -1.49 -1.47 -1.44 -1.36 -1.52 -1.51 -1.18 -1.21 -1.47 -1.39 -0.98 -0.90 -1.20 -1.23 -1.18 -0.95 -0.81 -0.64 0.12 0.28 -0.88 -1.79 c_eff Profile (1.8 to 10 m)
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From page 265... ...
Figure C-81. Model 7 fit at the Barrier positions 60 meters, 90 meters, 120 meters, and 150 meters (left to right)
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From page 266... ...
Figure C-83. Model 7 fit at the No-Barrier positions 240 meters, 480 meters, and 960 meters (left to right)
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From page 267... ...
C-101 The following pages show a sample of spectrograms that were used for data filtering. The spectrograms show one-second 1/3 octave band sound levels.
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From page 268... ...
C-102 How Weather Affects the Noise You Hear from Highways NO-BARRIER 15 METERS
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From page 269... ...
Appendix C: Data Collection Results and Statistical Analyses C-103 NO-BARRIER 30 METERS
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From page 270... ...
C-104 How Weather Affects the Noise You Hear from Highways NO-BARRIER 60 METERS
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From page 271... ...
Appendix C: Data Collection Results and Statistical Analyses C-105 NO-BARRIER 120 METERS (1.5-METER HEIGHT)
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From page 272... ...
C-106 How Weather Affects the Noise You Hear from Highways NO-BARRIER 240 METERS (1.5-METER HEIGHT)
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From page 273... ...
Appendix C: Data Collection Results and Statistical Analyses C-107 NO-BARRIER 480 METERS
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From page 274... ...
C-108 References Harris Miller Miller & Hanson Inc., Bowlby & Associates, Inc., Environmental Acoustics, Anderson, G.S., and D.E. Barrett.
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Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.