School of Geography, Earth and Environmental Sciences , University of Plymouth , Plymouth Devon , PL4 8AA , U.K.
School of Earth and Environment , University of Leeds , LS2 9JT , U.K.
Environ Sci Technol. 2018 Dec 18;52(24):14245-14255. doi: 10.1021/acs.est.8b04372. Epub 2018 Nov 27.
Lowering of the estuarine Environmental Quality Standard for zinc in the UK to 121 nM reflects rising concern regarding zinc in ecosystems and is driving the need to better understand its fate and behavior and to develop and parametrize speciation models to predict the metal species present. For the first time, an extensive data set has been gathered for the speciation of zinc within an estuarine system with supporting physicochemical characterization, in particular dissolved organic carbon. WHAM/Model VII and Visual MINTEQ speciation models were used to simulate zinc speciation, using a combination of measured complexation variables and available defaults. Data for the five estuarine transects from freshwater to seawater endmembers showed very variable patterns of zinc speciation depending on river flows, seasons, and potential variations in metal and ligand inputs from in situ and ex situ sources. There were no clear relationships between free zinc ion concentration [Zn] and measured variables such as DOC concentration, humic and biological indices. Simulations of [Zn] carried out with both models at high salinities or by inputting site specific complexation capacities were successful, but overestimated [Zn] in low salinity waters, probably owing to an underestimation of the complexation strength of the ligands present. Uncertainties in predicted [Zn] are consistently smaller than standard deviations of the measured values, suggesting that the accuracy of the measurements is more critical than model uncertainty in evaluating the predictions.
英国将锌的河口环境质量标准降低到 121nM,反映出人们对生态系统中锌的日益关注,这促使人们需要更好地了解锌的归宿和行为,并开发和参数化形态模型来预测存在的金属形态。这是首次在河口系统中收集了大量有关锌形态的数据集,并对其进行了理化特性的支持,特别是溶解有机碳。WHAM/Model VII 和 Visual MINTEQ 形态模型被用于模拟锌的形态,方法是结合测量的络合变量和可用的默认值。从淡水到海水终点的五个河口横断线上的数据表明,锌的形态具有很大的可变性,这取决于河流流量、季节以及来自原位和异位源的金属和配体输入的潜在变化。自由锌离子浓度[Zn]与 DOC 浓度、腐殖质和生物指数等测量变量之间没有明显的关系。在高盐度下或通过输入特定地点的络合容量,两种模型都能成功地模拟[Zn],但在低盐度水域中高估了[Zn],这可能是由于对现有配体络合强度的低估。预测[Zn]的不确定性始终小于测量值的标准偏差,这表明在评估预测值时,测量值的准确性比模型不确定性更为关键。