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由于缺乏实验方案和数据解读的标准,沉积物可蚀性估计存在不确定性。

Uncertainties in sediment erodibility estimates due to a lack of standards for experimental protocols and data interpretation.

作者信息

Sanford Lawrence P

机构信息

University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Maryland 21613, USA.

出版信息

Integr Environ Assess Manag. 2006 Jan;2(1):29-34.

Abstract

Quantitative prediction of the erodibility of muds and mud-sand mixtures is, at present, seldom possible without resorting to direct measurements, preferably in situ. A variety of devices and protocols have been developed for erosion testing, but a considerable degree of uncertainty remains with regard to the accuracy and comparability of the resulting data. This paper argues that differences in experimental protocols and data analysis procedures are a major contributing factor to uncertainty in estimates of sediment erodibility. In particular, the likelihood of a time-dependent erosion rate response under typical erosion testing conditions means that the time history of applied forcing and the chosen protocols for analyzing and interpreting data directly affect derived erosion parameters. Several straightforward ways to address this problem are suggested, including standardization of experimental design and data analysis protocols, explicit recognition and adoption of appropriate erosion model(s), and allowing for potential time/depth changes in erodibility. Experimentalists should also archive and share erosion-test time series, not just derived parameters, so that data sets may be reanalyzed within a different framework if necessary. An example is presented from an intercomparison experiment between the Virginia Institute of Marine Sciences Sea Carousel and the University of Maryland Center for Environmental Science Microcosm System, carried out in the upper Chesapeake Bay (Maryland, USA) in May 2002. Derived parameters appear to be incompatible when the data are analyzed using different procedures, but real similarities and differences are readily apparent when the data are analyzed using the same procedures.

摘要

目前,若不借助直接测量(最好是原位测量),很难对泥浆和泥砂混合物的可侵蚀性进行定量预测。现已开发出多种用于侵蚀测试的装置和方案,但所得数据的准确性和可比性仍存在相当大的不确定性。本文认为,实验方案和数据分析程序的差异是沉积物可侵蚀性估计存在不确定性的主要因素。特别是,在典型侵蚀测试条件下,侵蚀速率响应可能随时间变化,这意味着施加力的时间历程以及用于分析和解释数据的选定方案会直接影响导出的侵蚀参数。文中提出了几种解决该问题的直接方法,包括实验设计和数据分析方案的标准化、明确识别并采用合适的侵蚀模型,以及考虑可侵蚀性可能随时间/深度的变化。实验人员还应存档并共享侵蚀测试时间序列,而不仅仅是导出的参数,以便必要时可在不同框架内重新分析数据集。文中给出了一个实例,该实例来自2002年5月在美国马里兰州切萨皮克湾上游进行的弗吉尼亚海洋科学研究所的海洋旋转木马装置与马里兰大学环境科学中心微观系统之间的对比实验。当使用不同程序分析数据时,导出的参数似乎不兼容,但当使用相同程序分析数据时,真正的异同点就很明显了。

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