In environmental risk assessments, what method helps address uncertainty by exploring how results change with different inputs or assumptions?

• A. Random guessing.
• B. Sensitivity analysis.
• C. Ignoring variables.
• D. Relying only on average values.

Answer: (B)

Sensitivity analysis is the process of testing how results change when you vary inputs or assumptions. In environmental risk assessments, many factors—like exposure levels, toxicity, or environmental transport—aren’t known exactly, so exploring different plausible values helps reveal which factors most influence the risk estimate. By systematically changing key parameters, you can see whether the conclusions hold under uncertainty and identify data gaps that would most improve confidence. For example, if the risk outcome changes a lot when the degradation rate is varied, that parameter is a driver of uncertainty and deserves closer study. Other approaches that guess, ignore variables, or rely only on averages don’t show how results depend on inputs or account for scenario variability.