502 research outputs found

    Sediment Contamination Study of Casco Bay part 4, Ramboll Environ PowerPoint 2016

    Get PDF
    https://digitalcommons.usm.maine.edu/cbep-presentations/1003/thumbnail.jp

    Sediment Contamination Study of Casco Bay part 2, Ramboll Environ PowerPoint 2016

    Get PDF
    https://digitalcommons.usm.maine.edu/cbep-presentations/1001/thumbnail.jp

    Sediment Contamination Study of Casco Bay part 5, Ramboll Environ PowerPoint 2016

    Get PDF
    https://digitalcommons.usm.maine.edu/cbep-presentations/1004/thumbnail.jp

    Sediment Contamination Study of Casco Bay part 3, Ramboll Environ PowerPoint 2016

    Get PDF
    https://digitalcommons.usm.maine.edu/cbep-presentations/1002/thumbnail.jp

    Sediment Contamination Study of Casco Bay part 1, Ramboll Environ PowerPoint 2016

    Get PDF
    https://digitalcommons.usm.maine.edu/cbep-presentations/1000/thumbnail.jp

    Casco Bay Sediment Assessment (Fact Sheet)

    Get PDF
    Since 1991, Casco Bay Estuary Partnership (CBEP) has sponsored a monitoring program to track the concentrations of certain pollutants in sediments throughout Casco Bay to answer the following questions: What are the concentrations of chemicals in Casco Bay sediments? Are chemical concentrations in sediment high enough to harm marine life? How have chemical concentrations in sediment in the Bay changed over time? This fact sheet presents and interprets the results from sediment monitoring conducted from 1991 through 2011, the most recent year for which data are available. The sediment data show that concentrations for legacy pollutants tend to be declining throughout the Bay.https://digitalcommons.usm.maine.edu/cbep-toxic-pollution/1000/thumbnail.jp

    Casco Bay Sediment Assessment 1991 – 2011

    Get PDF
    The Casco Bay Estuary Partnership (CBEP) has funded three comprehensive sediment quality assessments throughout Casco Bay since 1991, at roughly ten-year intervals. Chemicals analyzed include metals, polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), organochlorine pesticides, dioxins and furans, and organotins. This report summarizes the results from the most recent sediment sampling program conducted in 2010-2011 and describes how concentrations of chemicals in sediment have changed over the 20-year period since samples were originally collected.https://digitalcommons.usm.maine.edu/cbep-toxic-pollution/1001/thumbnail.jp

    Between-airport heterogeneity in air toxics emissions associated with individual cancer risk thresholds and population risks

    Get PDF
    Abstract Background Airports represent a complex source type of increasing importance contributing to air toxics risks. Comprehensive atmospheric dispersion models are beyond the scope of many applications, so it would be valuable to rapidly but accurately characterize the risk-relevant exposure implications of emissions at an airport. Methods In this study, we apply a high resolution atmospheric dispersion model (AERMOD) to 32 airports across the United States, focusing on benzene, 1,3-butadiene, and benzo [a]pyrene. We estimate the emission rates required at these airports to exceed a 10-6 lifetime cancer risk for the maximally exposed individual (emission thresholds) and estimate the total population risk at these emission rates. Results The emission thresholds vary by two orders of magnitude across airports, with variability predicted by proximity of populations to the airport and mixing height (R2 = 0.74–0.75 across pollutants). At these emission thresholds, the population risk within 50 km of the airport varies by two orders of magnitude across airports, driven by substantial heterogeneity in total population exposure per unit emissions that is related to population density and uncorrelated with emission thresholds. Conclusion Our findings indicate that site characteristics can be used to accurately predict maximum individual risk and total population risk at a given level of emissions, but that optimizing on one endpoint will be non-optimal for the other.</p
    • …
    corecore