### Appendix J

Data Inputs for Health Impacts AnalysisJ - 1

This appendix provides information on how the non-c ancer health benefits resulting from reduction of diesel PM emissions from cargo ha ndling equipment were estimated. It also provides a description on how population-we ighted average risk is calculated. The actual data spreadsheets are also provided. Ho wever, due to the large size of the spreadsheets, this information is available upon re quest to the Air Resources Board. The data is available on CD, it can be downloaded f rom our web site at http://www.arb.ca.gov/cargo , or a hard copy may be viewed at the California Environmental Protection Agency offices at 1001 I S treet in Sacramento, California or made available upon request. Inquires should be se nt to Ms. Linda Keifer at lkeifer@arb.ca.gov

or to the following address:

Ms. Linda Keifer California Air Resources Board P.O. Box 2815 Sacramento, California 95812-2815

Methodology

• Upon the completion of the Diesel Particulate Matt er Exposure Assessment Study for the Ports of Los Angeles and Long Beach, we interpolated diesel PM concentrations in each grid cell (161 x 161, or 259 21 cells) for a given scenario, such as 2010 with regulation, based on the mass rat io and assumption that the spatial and temporal allocations of cargo handling equipment operation or diesel PM emissions are not changed.

• The number of population in each grid cell was est imated using a Visual Basic program combined with ARCVIEW. The population dist ribution used in the study is based on the U.S. Census Bureau year 2000 census data.

• Using the methodology peer-reviewed and published in the Staff Report: Public Hearing to Consider Amendments to the Ambient Air Q uality Standards for Particulate Matter and Sulfates, (PM Staff Report) (ARB, 2002), we calculated the number of annual cases of death and other healt h effects associated with exposure to the change in PM concentrations modeled for each of the grid cells. The totals over the entire modeling area were then calculated. For each grid cell, each health effect was estimated based on concentra tion-response functions derived from published epidemiological studies rela ting changes in ambient concentrations to changes in health endpoints, the population affected, and the baseline incidence rates. The selection of the conc entration-response functions was based on the latest epidemiologic literature, a s described in the PM Staff Report and in Lloyd and Cackette (Lloyd and Cackett e, 2001).

• We estimated that the ports of Los Angeles and Lon g Beach account for approximately 70 percent of total statewide emissio ns related to cargo handling equipment. Hence, the statewide impact of the emis sions reduced through thisJ - 2

regulation was estimated by dividing the estimated impacts in the modeling domain around the ports of Los Angeles and Long Bea ch by 0.7.

• The population-weighted average risk is calculated as follows:

∑

= ∑

= = n

i i P n

i i R x i P

R

1 1

where P i is the number of population (all ages) in grid cel l i, R i is the risk in grid cell i, and n is the number of effective grid cells within the modeling receptor domain. Note that if a grid cell lies on the prope rty of the ports or the nearby ocean, the grid cell will be excluded for calculati ons of population-weighted average risk or impacted areas.

REFERENCES:

(ARB, 2002) Air Resources Board and Office of Envir onmental Health Hazard Assessment. Public Hearing to Consider Amendments to the Ambien t Air Quality Standards for Particulate Matter and Sulfates, Staf f Report

. http://www.arb.ca.gov/research/aaqs/std-rs/pm-final /pm-final.htm ; May 2002.

(Lloyd and Cackette, 2001) Lloyd, A.C.; Cackette, T .A.; J Air Waste Management Assoc. Diesel Engines: Environmental Impact and Control ;., 51:809-847. http://www.arb.ca.gov/research/seminars/lloyd/AWMA2 001/JAWMADieselCriticalRevie w.pdf ; 2001.