ARCHIVED REPORTS LEC APPLICATION FOR CERTIFICATION

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Summary of Results The results of the screening level health risk assessment are summarized in Table 5.1D-1. Table 5.113-1 Screening Level Risk Assessment Results Risk Methodology I Lodi Energy Center Modeled Residential Cancer Risk(in one million) Residential: Derived (adjusted) Method 0.43 Modeled Worker Cancer Risk(in one million) Worker Exposure: Derived (OEHHA) 0.045 Method Modeled Acute and Chronic Impacts Acute HHI 0.05 Chronic HHI 0.008 As shown in Table 5.1D-1,the cancer risk from the project is below the significance level of 10 in one million. In addition,the acute and chronic health hazard indices are well below the significance level of one. The analysis of potential cancer risk described in this section employs extremely conservative methods and assumptions,as follows: • The analysis includes representative weather data over 5 years to ensure that the least favorable conditions producing the highest ground-level concentration of power plant emissions are included. The analysis then assumes that these worst-case weather conditions,which in reality occurred only once in 5 years,will occur every year for 70 years. • The power plant is assumed to operate at hourly, daily,and annual emission conditions that produce the highest ground-level concentrations. In fact,the power plant is expected to operate at a variety of conditions that will produce lower emissions and impacts. • The analysis assumes that a sensitive individual is at the location of the highest ground-level concentration of power plant emissions continuously over the entire 70-year period. In reality,people rarely live in their homes for 70 years, and even if they do,they leave their homes to attend school, go to work, go shopping,and so on. The point of using these unrealistic assumptions is to consciously overstate the potential impacts. No one will experience exposures as great as those assumed for this analysis. By determining that even this highly overstated exposure will not be significant,there is a high degree of confidence that the much lower exposures that actual persons will experience will not result in a significant increase in cancer risk. In short,the analysis ensures that there will not be significant public health impacts at any location,under any weather condition,under any operating condition. The locations of the maximum acute,chronic,and cancer risks are shown in Figure 5.11)- 1.