RESUMEN
Residents of a condominium building in Hoboken, New Jersey, were exposed to mercury contamination in indoor air. Elevated levels of mercury were detected in urine samples provided by the residents, and 69% of the urine mercury levels were 20 microg/l or greater. Urine mercury levels were correlated positively with the duration of residency in the building and with the time (i.e., h/d) residents spent in the building. Environmental and biomonitoring data indicated that the residents were being exposed to mercury levels that were cause for health concern. Local health authorities, therefore, declared the building to be unfit for habitation and ordered that the premises be vacated. Health officials monitored the personal belongings of residents for mercury contamination before the items were removed from the building. The residents were offered medical evaluations and support services as part of the relocation effort.
Asunto(s)
Contaminación del Aire Interior , Exposición a Riesgos Ambientales , Vivienda , Mercurio , Adulto , Contaminantes Atmosféricos/análisis , Niño , Preescolar , Monitoreo del Ambiente , Humanos , Lactante , Mercurio/análisis , Mercurio/orina , New Jersey , Espectrofotometría AtómicaRESUMEN
The Southington, Connecticut, water-supply system is characterized by a distribution network that contains more than 1 700 pipeline segments of varying diameters and construction materials, more than 186 mi (299 km) of pipe, 9 groundwater extraction wells capable of pumping more than 4 700 gal/min (0.2965 m3/s), and 3 municipal reservoirs. Volatile organic compounds, which contaminated the underlying groundwater reservoir during the 1970s, contaminated the water-supply system and exposed the town's residents to volatile organic chemicals. We applied a computational model to the water-supply system to characterize and quantify the distribution of volatile organic compounds in the pipelines, from which we estimated the demographic distribution of potential exposure to the town's residents. Based on results from modeling analyses, we concluded the following: (a) exposure to volatile organic compound contamination may vary significantly from one census block to another, even when these census blocks are adjacent to each other within a specified radius; (b) maximum spatial spread of contamination in a water-distribution system may not occur under peak demand conditions, and, therefore, maximum spatial distribution of the exposed population also may not correspond to peak demand conditions, and (c) use of the proposed computational model allows for a more refined and rigorous methodology with which to estimate census-block-level contamination for exposure assessment and epidemiologic investigations.