Influence of local geological data and geographical parameters to assess regional health impact in LCA. Tomsk oblast', Russian Federation application case.

The research paper is aimed to modify the human health impact assessment of Cr in soils. The current article presents the input of several critical parameters for the human health Impact Score (IShum) assessment in soils. The modification of the IShum is derived using geological data - results of neutron activation analysis of soils are used in the IShum calculation; research area is divided using the watersheds and population size and density. Watersheds reflect the local environmental conditions of the territory unlike the administrative units (geographical areas of the studied region) due to their geological independence. The calculations of the characterization factor value underestimate the influence of the population size and density on the final result. Default characterization factor values cannot be considered during the assessment of the potential human health impact for the big sparsely inhabited areas. In case of very low population density, the result will be overrated and underestimated in the opposite case. The current approach demonstrates that the geographical separation in the USEtox model should be specified. The same approach can be utilized for other geo zones due to the accessibility of this information (area size, population size, and density, geological, and landscape features).

A regional approach for the calculation of characteristic toxicity factors using the USEtox model.

The lack of the spatial coverage as one of the main limitations of the Life-cycle impact assessment (LCIA) models leads to disagreement between their results. The USEtox model is only model that provides 8 continental and 17 subcontinental zones but does not consider the wind and water transfers affected areas around the source of pollution. Current investigation proposes the way to reduce this limitation by using the results of chemical analysis (instrumental neutron activation analysis "INAA") of pork meat as a regional indicator of anthropogenic influence. The concentration coefficient of Cr by replacing the Bioaccumulation factor (BAF) is extrapolated into the calculation of Exposure factor (XF) to modify Characterization factor (CF). Impacted and clean areas of Tomsk district (Russia) placed around Northern industrial hub (Seversk city) are studied. Neither area is located directly in the industrial hub, but the impacted area is under an anthropogenic influence due to air and water transfer of pollution. Results of our investigation present the difference between results of own investigation and default values of USEtox. Probably the model can minimize the impact because of lack of experiment data in the database. The database can be extended more with other analytical results for wide range of metals and geographical locations.