title: Global health impacts and costs due to mercury emissions.
abstract: Since much of the emission is in the form of metallic Hg whose atmospheric residence time is long enough to cause nearly uniform mixing in the hemisphere, much of the impact is global. This article presents a first estimate of global average neurotoxic impacts and costs by defining a comprehensive transfer factor for ingestion of methyl-Hg as ratio of global average dose rate and global emission rate. For the dose-response function (DRF) we use recent estimates of IQ decrement as function of Hg concentration in blood, as well as correlations between blood concentration and Hg ingestion. The cost of an IQ point is taken as $18,000 in the United States and applied in other countries in proportion to per capita GDP, adjusted for purchase power parity. The mean estimate of the global average of the marginal damage cost per emitted kg of Hg is about $1,500/kg, if one assumes a dose threshold of 6.7 mug/day of methyl-Hg per person, and $3,400/kg without threshold. The average global lifetime impact and cost per person at current emission levels are 0.02 IQ points lost and $78 with and 0.087 IQ points and $344 without threshold. These results are global averages; for any particular source and emission site the impacts can be quite different. An assessment of the overall uncertainties indicates that the damage cost could be a factor 4 smaller or larger than the median estimate (the uncertainty distribution is approximately log normal and the ratio median/mean is approximately 0.4).
authors.affiliation: Ecoles des Mines de Paris, Paris, France.
authors.forename: Joseph V
authors.initials: JV
authors.lastname: Spadaro
authors.forename: Ari
authors.initials: A
authors.lastname: Rabl
mesh_terms: D000393:Air Pollutants / Q000633:toxicity; D004781:Environmental Exposure; D004785:Environmental Pollutants / Q000633:toxicity*; D006304:Health Status; D006801:Humans; D008628:Mercury / Q000032:analysis* / Q000633:toxicity*; D008906:Mining; D018803:Models, Economic; D015233:Models, Statistical; D009010:Monte Carlo Method; D018570:Risk Assessment
chemical_list: D000393:Air Pollutants; D004785:Environmental Pollutants; D008628:Mercury