Uncertainty and sensitivity analysis Sample Clauses

Uncertainty and sensitivity analysis. To quantify PM2.5 -and O3-related mortality in the year 2050, we used three present emission inventories, four future emission scenarios, one C-R function and eight population projections. These are the factors that contribute to the total uncertainty when projecting future health outcomes. The C-R function has its own statistical uncertainty. We used its 95% CI and thus we derived the lower and upper limits of the mortality and morbidity cases (Appendix Table A-1). Figure 12 shows the percentage of sensitivity index (Si%) for both mortality and morbidity in January and July, for each species. Uncertainty attributed to the interactions is very small (<1%) and is not shown in the figure. Summary table in Appendix Table A- 7 provides a detailed ANOVA result. Among all the source of variations in projecting future PM2.5- and O3-related health outcomes, PM2.5 and O3 has different distributions of uncertainty. The influence from the sources varies depending on different health endpoints and/or different month.
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