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首页> 外文期刊>Journal of the American Water Resources Association >QUALITY OF 1995 SPRING TOTAL DISSOLVED GAS DATA: COLUMBIA AND SNAKE RWERS1
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QUALITY OF 1995 SPRING TOTAL DISSOLVED GAS DATA: COLUMBIA AND SNAKE RWERS1

机译:1995 年春季总溶解气体数据的质量:哥伦比亚和 SNAKE RWERS1

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ABSTRACT:The quality of the U.S. Army Corps of Engineers' (Corps) total dissolved gas (TDG) data base for the 1995 spring spill season was reviewed to determine the value of this information in real‐time management decisions regarding river operations. We concluded that problems in transmitting, archiving, correcting and interpreting the records constitute significant sources of data anomalies that affect the accuracy and reliability of information necessary to manage spill and TDG in the Columbia and Snake rivers. The data base that was reviewed covers 25 selected Columbia and Snake river stations, and includes real‐time TDG data needed to regulate spill operations to maintain gas levels within state water quality standards and to monitor effects on fish and aquatic life during the salmon migration season. A wide range of anomalies (daily averages missing or in error or based on incomplete records) was detected in more than one‐third (37 percent) of the Corps' gas data base. Extreme anomalies (daily averages including errors and discontinuities for more than eight hours in a day) were found in 16 percent of the data base. The Fish Passage Center, also reviewed the Corps' data and reported an overall 33 percent incidence of anomalous days. Despite arriving at similar findings about the Corps' data base, we detected a 28 percent discrepancy in the type of data anomalies between our analyses. Real. time improvements in the quality of the dissolved gas data base are necessary to provide managers with a reliable product from this monitoring e
机译:摘要:对美国陆军工程兵团 (Corps) 1995 年春季泄漏季节总溶解气体 (TDG) 数据库的质量进行了审查,以确定该信息在有关河流运营的实时管理决策中的价值。我们得出的结论是,传输、存档、更正和解释记录方面的问题构成了数据异常的重要来源,这些异常影响了管理哥伦比亚河和斯内克河泄漏和 TDG 所需的信息的准确性和可靠性。审查的数据库涵盖了25个选定的哥伦比亚河和蛇河站,并包括监管泄漏作业所需的实时TDG数据,以将气体水平保持在州水质标准范围内,并监测鲑鱼洄游季节对鱼类和水生生物的影响。在超过三分之一(37%)的军团天然气数据库中检测到了广泛的异常情况(每日平均值缺失或错误或基于不完整的记录)。在16%的数据库中发现了极端异常(日平均值,包括一天中超过8小时的错误和不连续性)。鱼类通道中心也审查了军团的数据,并报告了异常天数的总体发生率为33%。尽管对军团的数据库得出了类似的发现,但我们检测到我们分析之间的数据异常类型存在28%的差异。真正。溶解气体数据库质量的时间改进对于为管理人员提供可靠的产品是必要的

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