A pre- and post-MARPOL Annex V summary of Hawaiian monk seal entanglements and marine debris accumulation in the northwestern Hawaiian Islands, 1982-1998

Entanglements of Hawaiian monk seals, Monachus schauinslandi, were documented in the northwestern Hawaiian Islands (NWHI) from 1982 to 1998, and debris which presented a threat of entanglement was inventoried and removed from 1987 to 1996. A total of 173 entanglements was documented. The number of entanglements did not change after implementation of MARPOL Annex V in 1989. Pups and juvenile seals were more likely to become entangled than older seals, and became entangled primarily in nets, whereas entanglement of subadults and adults was more likely to involve line. The subpopulation of seals at Lisianski Island experienced the most entanglements, although Lisianski did not accumulate the most debris. Localized high entanglement rates may gravely affect individual monk seal subpopulations. Accumulation of debris has not diminished since implementation of Annex V, nor has occurrence of derelict drift nets abated since a 1989 moratorium. Debris washing ashore has likely been circulating in the North Pacific Ocean for some time.     

锂同位素质谱法测定及其样品制备研究进展

近几十年来，锂同位素比值的测量得到了快速的发展。影响锂同位素比值测定因素很多，特别是在测定过程中分馏现象和记忆效应等都会引起锂同位素测定比值很大的误差。简要总结了锂同位素组成的质谱测定以及从天然样品（主要是固体样品）中提取纯化锂的方法。着重介绍了锂同位素测定中样品带使用的进展，从单带涂样发展到三带涂样，大大降低了测定中的锂同位素分馏。本文还对各种涂样形式的使用进行了比较。     

SO4^2—、NO3^—对氯同位素测定的干扰及其消除

在石墨存在下用正热电离质谱法测定 Cs2 Cl+正离子是氯同位素测定的最佳方法 ,但实验过程中发现 ,SO42 - 和 NO3- 的存在对测定的干扰较严重。在系统地研究了 SO42 - 和 NO3- 对氯同位素测定影响的基础上 ,定性地给出了在 SO42 -和 NO3-影响下 ,部分仪器聚焦参数的变化 ,并对影响的机理做了一些解释。着重探讨了不产生影响的 SO42 - 和 NO3- 的最高浓度及 SO42 - 和 NO3- 的消除方法 ,以期指导相关的工作     

MAROS: a decision support system for optimizing monitoring plans

The Monitoring and Remediation Optimization System (MAROS), a decision-support software, was developed to assist in formulating cost-effective ground water long-term monitoring plans. MAROS optimizes an existing ground water monitoring program using both temporal and spatial data analyses to determine the general monitoring system category and the locations and frequency of sampling for future compliance monitoring at the site. The objective of the MAROS optimization is to minimize monitoring locations in the sampling network and reduce sampling frequency without significant loss of information, ensuring adequate future characterization of the contaminant plume. The interpretive trend analysis approach recommends the general monitoring system category for a site based on plume stability and site-specific hydrogeologic information. Plume stability is characterized using primary lines of evidence (i.e., Mann-Kendall analysis and linear regression analysis) based on concentration trends, and secondary lines of evidence based on modeling results and empirical data. The sampling optimization approach, consisting of a two-dimensional spatial sampling reduction method (Delaunay method) and a temporal sampling analysis method (Modified CES method), provides detailed sampling location and frequency results. The Delaunay method is designed to identify and eliminate redundant sampling locations without causing significant information loss in characterizing the plume. The Modified CES method determines the optimal sampling frequency for a sampling location based on the direction, magnitude, and uncertainty in its concentration trend. MAROS addresses a variety of ground water contaminants (fuels, solvents, and metals), allows import of various data formats, and is designed for continual modification of long-term monitoring plans as the plume or site conditions change over time.