首页> 外文期刊>Journal of the American Water Resources Association >DETECTING REDUCTIONS IN SEDIMENT LOADS ASSOCIATED WITH OHIO'S CONSERVATION RESERVE ENHANCEMENT PROGRAM
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DETECTING REDUCTIONS IN SEDIMENT LOADS ASSOCIATED WITH OHIO'S CONSERVATION RESERVE ENHANCEMENT PROGRAM

机译:检测与俄亥俄州保护储量增加计划有关的泥沙量减少

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Small systematic changes in loads or concentrations of water quality constituents are difficult to detect against the background of short term fluctuations ("noise") that result from weather and climate effects. Minimum Detectable Change Analysis (MDCA) uses prior knowledge of a water quality constituent to determine how much change must occur (e.g., from implementation of conservation practices) for the change to be statistically significant. In this paper we use MDCA to determine whether the goal of the Ohio Lake Erie Conservation Reserve Enhancement Program (CREP), to reduce sediment loads by an average of 6 percent over 10 years, represents a large enough change to be detected. We conclude that this amount of change is unlikely to be detected as statistically significant, even with the high frequency sampling program planned for evaluating it. The minimum detectable change ranges from about 7 to 9 percent for three different rivers.
机译:在由天气和气候影响引起的短期波动(“噪声”)的背景下,很难检测到水质成分的负荷或浓度的微小系统变化。最小可检测变化分析(MDCA)使用水质成分的先验知识来确定必须发生多少变化(例如,从实施保护实践中得出),以使变化具有统计学意义。在本文中,我们使用MDCA来确定俄亥俄伊利湖自然保护区保护计划(CREP)的目标是否能在10年内平均减少6%的泥沙负荷,这一目标是否足以检测到。我们得出的结论是,即使计划使用高频采样程序对其进行评估,也不太可能检测到这种变化具有统计学意义。对于三种不同的河流,最小可检测变化范围约为7%至9%。

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