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Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

机译:Samplinghelper一个基于Web的工具,用于评估下水道和接收水域中采样策略的可靠性

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摘要

Sampling is a key step in the analysis of chemical compounds. It is particularly important in the environmental field, for example for wastewater effluents, wet-weather discharges or streams in which the flows and concentrations vary greatly over time. In contrast to the improvements that have occurred in analytical measurement, developments in the field of sampling are less active. However, sampling errors may exceed by an order of magnitude those related to analytical processes. We proposed an Internet-based application based on a sampling theory to identify and quantify the errors in the process of taking samples. This general theory of sampling, already applied to different areas, helps to answer questions related to the number of samples, their volume, their representativeness, etc. The use of the internet to host this application facilitates use of theoretical tools and raise awareness of the uncertainties related to sampling. An example is presented, which highlights the importance of the sampling step in the quality of analytical results.
机译:采样是化合物分析中的关键步骤。在环境领域中尤其重要,例如对于废水,潮湿天气的排放物或流量和浓度随时间变化很大的溪流。与分析测量中出现的改进相反,采样领域的发展不太活跃。但是,采样误差可能会超出与分析过程有关的数量级。我们提出了一种基于采样理论的基于Internet的应用程序,以识别和量化采样过程中的错误。这种已经应用于不同领域的通用抽样理论,有助于回答与样本数量,样本量,代表性等相关的问题。使用互联网托管该应用程序有助于理论工具的使用,并提高人们对样本的认识。与抽样有关的不确定性。给出了一个示例,该示例突出了采样步骤对分析结果质量的重要性。

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