Ecological risk assessment of zinc from stormwater runoff to an aquatic ecosystem |
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Authors: | Kevin V. Brix James Keithly David K. DeForest |
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Affiliation: | a EcoTox, 575 Crandon Blvd., #703, Key Biscayne, Florida 33149, United States b University of Miami, RSMAS, 4600 Rickenbacker Causeway, Miami, Florida 33149, United States c Parametrix, Inc., 411 108th Ave. NE, Bellevue, Washington 98004, United States d HydroQual, 4914 West Genesee Street, Camillus, New York 13031, United States e Brown and Caldwell, 701 Pike Street, Suite 1200, Seattle, Washington 98101, United States |
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Abstract: | Zinc (Zn) risks from stormwater runoff to an aquatic ecosystem were studied. Monitoring data on waterborne, porewater, and sediment Zn concentrations collected at 20 stations throughout a stormwater collection/detention facility consisting of forested wetlands, a retention pond and first order stream were used to conduct the assessment. Bioavailability in the water column was estimated using biotic ligand models for invertebrates and fish while bioavailability in the sediment was assessed using acid volatile sulfide-simultaneously extracted metal (AVS-SEM). The screening level assessment indicated no significant risks were posed to benthic organisms from Zn concentrations in sediments and pore water. As would be expected for stormwater, Zn concentrations were temporally quite variable within a storm event, varying by factors of 2 to 4. Overall, probabilistic assessment indicated low (5-10% of species affected) to negligible risks in the system, especially at the discharge to the first order stream. Moderate to high risks (10-50% of species affected) were identified at sampling locations most upgradient in the collection system. The largest uncertainty with the assessment is associated with how best to estimate chronic exposure/risks from time-varying exposure concentrations. Further research on pulse exposure metal toxicity is clearly needed to assess stormwater impacts on the environment. |
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Keywords: | Zinc Stormwater Risk assessment Biotic ligand model |
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