Institute of Environmental Sciences-CML, Leiden University, P.O. Box 9518, 2300 RA Leiden, The Netherlands.
Environ Sci Technol. 2011 Jul 15;45(14):6049-56. doi: 10.1021/es2007963. Epub 2011 Jun 28.
Geographical and temporal variations in metal speciation were calculated and water-type specific sensitivities were derived for a range of aquatic species, using surveillance water chemistry data that cover almost all surface water types in The Netherlands. Biotic ligand models for Cu, Zn, and Ni were used to normalize chronic no-effect concentrations (NOEC) determined in test media toward site-specific NOEC for 372 sites sampled repeatedly over 2007-2010. Site-specific species sensitivity distributions were constructed accounting for chemical speciation. Sensitivity of species as well as predicted risks shifted among species over space and time, due to changes in metal concentrations, speciation, and biotic ligand binding. Sensitivity of individual species (NOEC) and of the ecosystem (HC5) for Cu, Ni, and Zn showed a spatial variation up to 2 orders of magnitude. Seasonality of risks was shown, with an average ratio between lowest and highest risk of 1.3, 2.0, and 3.6 for Cu, Ni, and Zn, respectively. Maximum risks of Cu, Ni, and Zn to ecosystems were predicted in February and minimum risks in September. A risk assessment using space-time specific HC5 of Cu and Zn resulted in a reduction of sites at risk, whereas for Ni the number of sites at risks increased.
利用涵盖荷兰几乎所有地表水类型的监测水质化学数据,计算了金属形态的地域和时间变化,并为一系列水生物种推导了水型特异性敏感性。使用铜、锌和镍的生物配体模型,将在测试介质中确定的慢性无效应浓度 (NOEC) 归一化为针对 2007-2010 年重复采样的 372 个站点的特定于地点的 NOEC。考虑到化学形态,构建了特定于地点的物种敏感性分布。由于金属浓度、形态和生物配体结合的变化,物种的敏感性以及预测的风险在空间和时间上发生了变化。铜、镍和锌的个别物种(NOEC)和生态系统(HC5)的敏感性表现出高达 2 个数量级的空间变化。显示了风险的季节性,铜、镍和锌的最低风险和最高风险的平均值之比分别为 1.3、2.0 和 3.6。预测到 Cu、Ni 和 Zn 对生态系统的最大风险出现在 2 月,最小风险出现在 9 月。使用 Cu 和 Zn 的时空特定 HC5 进行风险评估会减少处于风险中的站点,而对于 Ni,则增加了处于风险中的站点数量。