Sensitivity analysis is a valuable method for evaluating
the impact
of model parameters on health risk characterization, thereby supporting
the prediction of critical uncertainty factors. However, limitations
arise in terms of cross-disciplinary discussions and in-depth analyses
of previous research. To overcome these limitations, a systematic
and multifaceted approach was introduced for analyzing the parameter
sensitivities in soil contamination risk assessment. This approach
specifically targeted the 12 main parameters associated with 65 soil
contaminants for health risk assessment, employing detailed authoritative
statistics for risk assessment. Screening analysis revealed that identified
heavy metals and organics were influenced by key parameters, such
as PM10, body weight of adults (BWa), daily
air inhalation rate of adults (DAIRa), air exchange rate
(ER), and typical soil parameters. PM10 showed a positive
100% correlation with inorganics and metals, but BWa and
DAIRa exhibited different impacts on different chemicals,
with an increase in potential risk observed with higher BWa and lower DAIRa. Furthermore, incorporating soil parameters
in the analysis showed that compact soil could improve the protection
against vapor organic compounds for human health. This refined study
presents a comprehensive strategy for sensitivity analysis in health
risk assessment of soil contamination, thereby offering substantial
support for the protection and preservation of human health. A logical
framework also was provided for addressing the limitations of sensitivity
analysis and facilitating an understanding of the complex relationships
between model parameters and the health risk of soil contamination.