An investigation to human health risks from multiple contaminants and multiple origins by introducing 'Total Information Management'.

摘要: A capability for aggregating risks to aquifers is explored in this paper cases with sparse data exposed anthropogenic and geogenic contaminants driven by poor/non-existent planning/regulation practices. The seeks ‘Total Information Management’ (TIM) under studying hydrogeochemical processes, which contrast Human Health Risk Assessment (HHRA) the USEPA using sample a procedure prescribed parameters without deriving their values from site data. methodology TIM pools together following five dimensions: (i) perceptual model collect existing knowledge-base; (ii) conceptual analyse of ion-concentrations determine groundwater type, origin, dominant processes (e.g. statistical, graphical, multivariate analysis geological survey); (iii) risk cells contextualise contaminants, where considers nitrate, arsenic, iron lead occurring more than three times permissible values; (iv) ‘soft modelling’ firm up information learning convergences and/or divergences within model; (v) study each cell through OSPRC framework (Origins, Sources, Pathways, Receptors Consequence). area comprises series patchy but HHRA ignores such contextual provides some evidence on both carcinogenic non-carcinogenic human health. greater insight unacceptable minor ions nitrate pollutions trace contaminants.