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

机译:将生物滞留池中的植被组成与小型水文和地形变化相关

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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:在郊区或中等城市发展的地区,生物保留单元已成为雨水最佳管理实践(BMP)的青睐。尽管它们很受欢迎,但在这些系统中的植被,水文和治疗功效之间的复杂相互作用通常尚未得到很好的理解。本文介绍了一项对堪萨斯州东北部生物保留单元进行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入量和流出物的质量和数量。使用工作人员量具和延时摄影技术来跟踪牢房中的水位。每年春季和秋季进行植被采样,以确定总的植物覆盖率并评估物种多样性。本文着重于使用高分辨率数字高程细胞模型和水文模型研究现场植被组成变化的努力。特别令人关注的变量是整个单元中各个位置的淹没频率,持续时间和深度。这里介绍的结果是初步的,尚未完全校准到现场观察。

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