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Ecological risk assessment of zinc from stormwater runoff to an aquatic ecosystem

机译：从雨水径流到水生生态系统的锌的生态风险评估

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摘要

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.
机译：研究了雨水径流对水生生态系统的锌（Zn）风险。在整个雨水收集/滞留设施的20个站点中收集的水，孔隙水和沉积物Zn浓度的监测数据被用来进行评估，该雨水收集/滞留设施由森林湿地，滞留池和一级流组成。使用生物配体模型对无脊椎动物和鱼类评估水柱中的生物利用度，同时使用酸挥发性硫化物同时萃取的金属（AVS-SEM）评估沉积物中的生物利用度。筛选水平评估表明，底泥和孔隙水中锌浓度对底栖生物没有重大危险。就像暴雨所预期的那样，暴雨事件中的锌浓度在时间上变化很大，变化范围为2到4。总体而言，概率评估表明，系统中可忽略的风险较低（受影响物种的5-10％），特别是在排放到一阶流。在收集系统中最高级的采样地点发现了中度至高风险（受影响物种的10-50％）。评估中最大的不确定性与如何最佳地根据随时间变化的暴露浓度估算慢性暴露/风险有关。显然需要对脉冲暴露的金属毒性进行进一步研究，以评估雨水对环境的影响。

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  • 来源
    《Science of the total environment》 |2010年第8期|p.1824-1832|共9页
  • 作者

    Kevin V. Brix; James Keithly; Robert C. Santore; David K. DeForest; Scott Tobiason;

  • 作者单位

    EcoTox, 575 Crandon Blvd., #703. Key Biscayne, Florida 33149, United States University of Miami, RSMAS, 4600 Rickenbacker Causeway, Miami, Florida 33149, United States;

    Parametrix, Inc., 411 108th Ave. NE, Bellevue, Washington 98004, United States;

    HydroQual, 4914 West Genesee Street, Camillus, New York 13031, United States;

    Parametrix, Inc., 411 108th Ave. NE, Bellevue, Washington 98004, United States;

    Brown and Caldwell, 701 Pike Street, Suite 1200, Seattle, Washington 98101, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    zinc; stormwater; risk assessment; biotic ligand model;

    机译：锌雨水风险评估;生物配体模型;

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