ABSTRACT:Historically, dissolved‐oxygen (DO) data have been collected in the same manner as other water‐quality constituents, typically at infrequent intervals as a grab sample or an instantaneous meter reading. Recent years have seen an increase in continuous water‐quality monitoring with electronic dataloggers. This new technique requires new approaches in the statistical analysis of the continuous record. This paper presents an application of frequency‐duration analysis to the continuous DO records of a cold and a warm water stream in rural southwestern Wisconsin. This method offers a quick, concise way to summarize large time‐series data bases in an easily interpretable manner. Even though the two streams had similar mean DO concentrations, frequency‐duration analyses showed distinct differences in their DO‐concentration regime. This type of analysis also may be useful in relating DO concentrations to biological effects and in predicting low D
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机译：摘要： 从历史上看，溶解氧 （DO） 数据的收集方式与其他水质成分相同，通常以不频繁的时间间隔作为取样或瞬时抄表。近年来，使用电子数据记录仪进行连续水质监测的情况有所增加。这种新技术需要对连续记录进行统计分析的新方法。本文介绍了频长分析在威斯康星州西南部农村地区冷水流和暖水流的连续溶氧记录中的应用。这种方法提供了一种快速、简洁的方法，以易于解释的方式汇总大型时间序列数据库。尽管两种流的平均溶氧浓度相似，但频率持续时间分析显示它们的溶氧浓度水平存在明显差异。这种类型的分析也可能有助于将溶氧浓度与生物效应联系起来，并预测低 D
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