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A Randomization Process for Modeling Constructed Wetlands with an OptimizationExample

机译:用优化提出建模湿地建模的随机化过程

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Constructed wetlands are becoming increasingly popular in managing stormwater and other wastewaters. Studies examining the relationship between performance and design parameters suffer from two flaws: 1) small sample size and 2) non-random samples. These constraints limit the applicability of existing performance predicting equations. Therefore, the goals of this research were to 1) develop a methodology for creating randomly generated wetland designs and 2) use these designs to develop a set of equations predicting peak flow reduction. Using various software packages, 2,000 constructed wetland designs were randomly generated. A flood wave was routed through each design to assess the peak flow leaving each design. Channel length was the best statistical predictor of peak flow reduction accounting for >70% of the total variation within the dataset. This equation represents the most general equation to date and can be used to better design constructed wetland systems.
机译:建造的湿地在管理雨水和其他废水中越来越受欢迎。研究检查性能与设计参数之间的关系患有两个缺陷:1)小样本大小和2)非随机样品。这些约束限制了现有性能预测方程的适用性。因此,本研究的目标为1)开发一种创造随机产生的湿地设计的方法,2)使用这些设计来开发一组预测峰值流量减少的方程。使用各种软件包,随机产生2,000个构造的湿地设计。通过每个设计路由泛波,以评估离开每个设计的峰值流量。频道长度是峰值流量减少的最佳统计预测因子,占数据集中总变化的70%。该等式代表最常见的等式迄今为止,可用于更好地设计构造的湿地系统。

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