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Equilibrium and kinetic partitioning of trace metals with respect to sorption processes on natural particles in South San Francisco Bay, California.

机译:相对于自然颗粒在加利福尼亚州南旧金山湾的自然吸附过程而言,痕量金属的平衡和动力学分配。

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摘要

Laboratory microcosm experiments were carried out to assess the timescales associated with equilibrium partitioning of Cd, Ni, Cu, Zn and Pb with respect to sorption processes on natural particles from South San Francisco Bay, CA. These studies present a novel approach to tracing sorption kinetics and the evolution of equilibrium conditions using low abundance (−1% occurrence) stable isotopes of these metals as tracers in conjunction with high-resolution inductively coupled plasma mass spectrometry (HR-ICPMS). Sorption kinetic rate constants were modeled from the concentration time series data, assuming pseudo-first-order kinetics. The best estimates of forward and backward kinetic rate constants for Cd, Ni, Cu, Zn and Pb respectively are Kf = 0.018, 0.03, 0.07, 0.12, 0.44 d−1 and kb = 0.12, 0.13, 0.12, 0.15, 0.018 d−1. These results predict that sorption equilibria in the South Bay range from a month for Cd and Ni, to three weeks for Cu, to two weeks for Zn, to one week for Pb. These timescales are much slower than equilibrium times for metal sorption onto synthetic pure phase particles (on the order of seconds) and are similar to particle residence times in the water column of South San Francisco Bay, suggesting that these sorption reactions can be kinetically limited in natural systems.; Experimentally determined kinetic rate constants were used to calculate predicted equilibrium partitioning coefficients (KDs). The results from these studies find Cd and Pb to behave as end-member metals with respect to sorption processes in South San Francisco Bay, both in terms of determined kinetic constants and sorption equilibrium timescales, as well as in observed and predicted equilibrium partitioning KDs. Predicted equilibrium KDs closely matched observed (measured) KDs for these metals in the South Bay (within 0.2 log units). These data are significant as they identify the underlying kinetic controls on partitioning commonly observed for these metals in natural aquatic systems. The agreement between predicted and observed equilibrium partitioning also indicate that this overall approach to modeling sorption kinetics can successfully integrate the complexities of metal sorption to heterogeneous natural particles in a matrix of natural estuarine waters while assessing kinetic parameters.; A method development study was also undertaken to create an automated, flow injection procedure using a chelating resin in conjunction with HR-ICPMS to determine dissolved metal concentrations in estuarine waters. For the final study, this rapid method was then used to replace a more time and labor-intensive organic extraction technique required to pre-concentrate dissolved metals and remove the salt matrix of the estuarine samples prior to analysis with HR-ICPMS.
机译:进行了实验室微观实验,以评估与Cd,Ni,Cu,Zn和Pb的平衡分配有关的时标,这些时标涉及来自加利福尼亚州南旧金山湾的天然颗粒的吸附过程。这些研究提出了一种新颖的方法,利用这些金属的低丰度(-1%发生率)稳定同位素作为示踪剂,结合高分辨率电感耦合等离子体质谱法(HR-ICPMS),来追踪吸附动力学和平衡条件的演变。从浓度时间序列数据中模拟吸附动力学速率常数,并假设拟一级动力学。 Cd,Ni,Cu,Zn和Pb的正向和反向动力学速率常数的最佳估计分别为K ' f = 0.018、0.03、0.07、0.12、0.44 d -1 和k b = 0.12、0.13、0.12、0.15、0.018 d -1 。这些结果表明,南湾的吸附平衡范围从Cd和Ni的一个月到Cu的三周,Zn的两周到Pb的一周。这些时间尺度比金属吸附到合成纯相颗粒上的平衡时间要慢得多(大约几秒钟),并且类似于南旧金山湾水柱中的颗粒停留时间,这表明这些吸附反应在动力学上可能受到限制。自然系统。实验确定的动力学速率常数用于计算预测的平衡分配系数(K D s)。这些研究的结果发现,就确定的动力学常数和吸附平衡时标,以及在观察到和预测的平衡分配中,Cd和Pb在南旧金山湾的吸附过程中均作为末端金属。 sub> D s。在南湾中,这些金属的预测平衡K D 与观察到的(实测)K D 非常匹配(在0.2 log单位内)。这些数据具有重要意义,因为它们确定了在天然水生系统中通常观察到的这些金属分配的基本动力学控制。预测的和观察到的平衡分配之间的一致性也表明,这种模拟吸附动力学的整体方法可以成功地将金属吸附的复杂性整合到天然河口水基质中的异质天然颗粒中,同时评估动力学参数。还进行了一项方法开发研究,以使用螯合树脂与HR-ICPMS结合以测定河口水中溶解的金属浓度来创建自动化的流动注射程序。在最终研究中,该快速方法随后被用于替换之前需要进行更多时间和劳动密集型的有机萃取技术,以预先浓缩溶解的金属并去除河口样品的盐基质,然后再进行HR-ICPMS分析。

著录项

  • 作者

    Gee, Alison Knight.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Geochemistry.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;
  • 关键词

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