# To **:**

**Cc:**

**Bcc:**

**Subject: Re: Knutsen PM Data - Response to Request** 

**From: "Knutsen, Synnove (LLU)" <sknutsen@llu.edu>** 

**To: Rebecca Yang/RTP/USEPA/US@EPA** 

**Cc: Lindsay Stanek/RTP/USEPA/US@EPA, Beth Hassett-Sipple/RTP/USEPA/US@EPA** 

**Date: 12/01/2009 03:18 PM** 

**Subject: RE: PM AQD follow-up** 



# Dear Rebecca,

Attached are the data for the PM2.5. We have not b een able to do the crude fraction yet, but should b e

able to get it to you within a week or so.



# Synnøve

Synnøve F. Knutsen, MD, MPH, PhD

Professor and Chair

Dept. of Epidemiology and Biostatistics

School of Public Health

Loma Linda University

Nichol Hall, Rm 2003

Loma Linda, CA 92350

Phone: (909) 558-4590

Fax: (909) 558-0326

From: Yang.Rebecca@epamail.epa.gov [mailto:Yang.Rebecca@epamail.epa.gov]

Sent: Wednesday, November 25, 2009 8:21 AM

To: Knutsen, Synnove (LLU)

Cc: Stanek.Lindsay@epamail.epa.gov; Hassett-Sipple.Beth@epamail.epa.gov

Subject: PM AQD follow-up

**Dear Dr. Synnove Knutsen,**

**My name is Rebecca Yang and I am writing to you on behalf of Dr. Lindsay Stanek and Ms. Beth**

**Hassett-Sipple of the EPA. In May, you wrote that you were working on obtaining the requested**

**information for the PM2.5 and PM10-2.5 air quality distribution data for your study listed below . Because**

**the PM Integrated Science Assessment will be finalized in mid -December, is it possible for you to send the**

**descriptive statistics for your 2005 study by Thursday, December 3rd?**

**The statistics of most interest for the 24-hour concentrations of PM2.5 and/or PM10-2.5 are the following:**

**- 95th percentile**

**- 96th percentile**

**- 97th percentile**

**- 98th percentile**

**- 99th percentile**

**- maximum concentration value**

# Because your study contains thoracic coarse PM **data**

**, the PM**  **10 data for the same statistics as above are** 

**also requested.**

**In respect for your time, if there is another researcher/co-author who may be able to handle this air quality**

**data request (i.e., has easier access to the data), I would greatly appreciate his/her name and contact**

**information. Please also note that any data you provide will be placed in the EPA's public docket.**

**Thank you for your help! I apologize for the inconvenience but the data you provide is critical for inclusion**

**in the EPA's Integrated Science Assessment and Policy Assessment Document for Particulate Matter .**

**Thank you for your time! I look forward to hearing from you.**

**Sincerely,**

**Rebecca Yang**

**Student Services Contractor**

**U.S. Environmental Protection Agency**

**National Center for Environmental Assessment-RTP**

**PH: (919) 541-2655**

Chen, L. H., S. F. Knutsen, et al. (2005). "The ass ociation between fatal coronary heart disease and a mbient

particulate air pollution: Are females at greater r isk?" Environ Health Perspect 113 (12): 1723-9.Daily estimates of ambient PM2.5concentration were obtained for 11 airsheds from daily measures of visibility collected at the nineCalifornia airports for the years 1973-1998 using regression equations relating PM2.5and visibility. Because of wind patterns, Ontarioprovided three separate airsheds (East, West, Central).Detailed methods for PM2estimation has been described previously (Abbey etal. 1995b). Individual monthly average PM2.5concentrations were calculated as the mean of thedaily ambient PM2.5estimates for theairshed in which the participant resided. Any monthwith PM2.5estimates for > 75% of the days was considered tohave valid data.Estimated PM2.5mean concentration across airsheds, 1973-1998, AHSMOG studyPercentilesAirshed MeanStdDeviation Minimum Maximum 95.00 96.00 97.00 98.00 99.00Alameda 17.23 10.42 4.78 173.8435.92 38.79 42.26 47.66 60.24San Jose 15.38 13.01 3.77 165.141.93 46.47 51.67 59.22 72.42Bakersfield 26.73 22.35 3.78 277.0171.27 76.90 85.52 97.33 121.08Fresno 21.83 17.08 0.25 191.7254.71 58.17 62.89 69.56 81.98Los Angeles 24.71 11.55 7.88 134.146.01 48.86 52.98 58.40 67.16Long Beach 25.85 13.95 4.89 16851.69 55.36 60.31 65.91 75.85Ontario Central 33.15 16.99 9.02 174.4965.81 68.64 72.86 79.47 92.67Ontario East 38.41 20.8 9.93 204.8577.62 81.37 86.85 93.75 108.75Ontario West 26.35 12.79 6.14 130.8250.09 52.38 55.51 60.17 69.86Sacramento 16.05 10.85 4.58 124.1138.00 41.15 45.78 53.59 62.51San Diego 15.2 5.67 5.68 90.1624.48 25.88 27.81 31.00 36.54Estimated PM2.5mean concentration across airsheds, 1973-1998, AHSMOG studyEstimated PM2.5mean concentration across airsheds and years, 1973-1998, AHSMOG studyAlameda San Jose Bakersfield Fresno Los Angeles Long BeachOntarioCentralOntarioEastOntarioWest Sacramento San Diego1973 18.11 15.37 25.33 19.67 28.73 32.56 41.35 49.84 33.03 17.02 19.471974 17.21 16.77 27.04 22.16 27.38 31.13 37.63 45.18 30.48 19.48 18.811975 18.47 17.15 29.49 20.08 27.69 31.24 38.70 46.36 31.29 18.91 17.991976 24.05 21.42 32.80 24.42 26.49 27.41 35.11 42.06 28.69 22.67 15.081977 19.51 17.67 28.21 24.49 27.53 29.64 36.98 44.29 30.15 17.12 15.161978 17.17 18.64 31.33 24.39 26.24 27.16 33.25 39.83 27.50 18.72 14.771979 16.78 18.67 23.99 22.33 26.23 26.90 32.13 38.52 26.51 19.97 14.371980 18.79 20.71 31.19 24.63 28.14 30.31 35.00 41.94 28.70 18.96 15.791981 19.56 17.46 30.65 20.56 27.84 28.66 36.39 43.51 29.72 17.11 15.431982 18.34 16.50 27.80 19.17 26.09 25.79 35.58 42.68 28.91 15.96 13.461983 17.17 13.18 23.86 18.58 26.39 25.31 31.76 38.00 26.38 13.18 14.481984 19.65 13.01 28.26 21.03 25.37 25.07 31.08 37.14 25.86 14.09 13.861985 19.52 16.56 29.19 22.46 26.53 27.65 33.49 40.20 27.68 14.04 14.691986 18.79 16.63 27.42 23.07 25.96 27.44 32.74 39.16 27.08 14.35 14.781987 16.61 14.53 24.34 23.31 24.95 25.42 33.02 39.40 27.19 15.95 14.551988 15.68 14.77 28.95 25.66 25.73 26.46 35.11 42.08 28.78 16.18 14.371989 16.07 16.66 30.19 25.90 26.53 27.76 36.16 43.41 29.45 17.80 15.201990 15.87 15.20 25.28 24.25 24.28 25.55 31.30 37.39 26.00 16.19 15.111991 17.29 16.96 23.97 22.80 26.77 28.22 30.41 36.31 25.47 17.71 16.021992 14.30 14.18 23.49 21.72 24.55 25.26 30.19 36.10 25.23 14.36 14.781993 14.08 11.84 22.78 18.52 19.69 19.56 29.83 31.55 21.86 11.99 13.701994 16.93 11.42 22.42 17.05 17.29 17.57 29.19 28.68 19.59 12.30 13.311995 17.15 12.08 24.92 19.35 19.33 20.98 31.76 32.36 22.41 12.90 15.741996 14.59 10.33 22.85 21.04 18.26 19.80 28.28 27.98 19.33 12.01 13.641997 13.47 9.27 24.31 20.17 18.50 19.18 27.01 26.3918.20 11.75 15.461998 13.02 12.44 24.83 20.17 19.14 19.24 28.97 28.96 20.08 15.65 15.04