We performed a screening evaluation of the human health risk posed by nanocarbon materials at the lifecycle stages of manufacturing and the use of the solid carbon generated in hydrogen manufacture by methane decomposition. We first estimated the atmospheric emission volumes of the solid carbon produced by small-, medium-, and large-scale hydrogen manufacturing plants. We then estimated the atmospheric emission due to tire wear, which largely contributes to the emission of solid carbon usage. Next, we estimated the atmospheric concentration of solid carbon in an atmospheric simulation using the METI–LIS model, which estimates the atmospheric distribution of a pollutant’s concentration near methane decomposition factories. We also used the AIST–ADMER model that estimated the regional atmospheric distributions around central Tokyo, where the traffic volume is the highest nationally. Finally, we performed a screening evaluation of human health risk in the surrounding areas, considering the permissible exposure concentrations of solid carbon. Our study identified no risk concerns at small- and medium-scale factory locations equipped with high-efficiency particulate air (HEPA) filtration facilities. At large-scale factories installed with HEPA filters, these emissions likely remain within the factory site. Furthermore, we determined that emissions from tire wear pose no risk to human health. The surroundings of small- and medium-scale factory sites installed with HEPA filters posed no risk to human health.
A questionnaire survey was conducted to explore consumer preference between fire risk and chemical risk, with a focus on electric and electronic home appliances whose plastic parts either contain or do not contain flame retardants (FRs). The analytic hierarchy process was used to evaluate the change in consumer preference before and after watching a video describing the effects of FRs. The t-test was used to compare the priority of product alternatives for subjects grouped according to risk acceptance and risk-avoidance orientation. From the results, the degree of each consumer preference for "Safety" was the highest before watching the video, and the degree of preference for "Safety" increased and those for "Health" and "Environment" decreased after watching the video. The degrees of consumer preference for "The product with FRs" and "The product without FRs" were almost the same before watching the video, but the preference for "The product with FRs" increased after watching the video. This tendency to change the priority of products from before to after watching the video was generally the same in each group.
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