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Relating Vegetation Composition in a Bioretention Cell to Small-ScaleHydrologic and Topographic Variability

机译:将植被组合物与小尺寸缺水和地形变异性联系起来

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Bioretention cells have gained favor as a stormwater best management practice (BMP) in areas with suburban or moderate urban development. Despite their popularity, the complex interaction between vegetation, hydrology, and treatment efficacy in these systems is generally not well understood. This paper presents preliminary results of a multi-year study of a bioretention cell in Northeastern Kansas. During the study period, stormwater influent and effluent quality and quantity were monitored using autosamplers. Water level in the cell was tracked using a staff gage in conjunction with time-lapse photography. Vegetation sampling was conducted in the spring and fall of each year to determine total plant cover and to assess species diversity. This paper focuses on efforts that are underway to study the variability in vegetation composition on the site using a high-resolution digital elevation model of the cell, coupled with hydrologic modeling. Variables of particular interest are the inundation frequency, duration, and depth at locations throughout the cell. The results presented here are preliminary, and have not been fully calibrated to site observations.
机译:生物收集细胞在郊区或中等城市发展的地区作为暴风水最佳管理实践(BMP)的青睐。尽管他们受欢迎,但这些系统中植被,水文和治疗效果之间的复杂相互作用通常不受欢迎。本文提出了东北堪萨斯州生物化细胞的多年研究的初步结果。在研究期间,使用自动进样器监测雨水的流出物和流出的质量和数量。使用员工仪表跟踪细胞中的水位与延时摄影一起跟踪。植被采样在每年的春季和秋季进行,以确定总植物覆盖,并评估物种多样性。本文侧重于利用细胞的高分辨率数字高度模型研究现场植被组成的变异性的努力,加上水文建模。特别兴趣的变量是整个单元格的云频率,持续时间和深度。此处呈现的结果是初步的,并且没有完全校准到现场观察结果。

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