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Development and evaluation of a biphasic rain garden for stormwater runoff management.

机译:开发和评估用于雨水径流管理的双相雨水花园。

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摘要

Rain gardens are bioretention systems that have the potential to reduce peak runoff flow and improve water quality in a natural and aesthetically pleasing manner. In spite of their popularity, results from column and field-scale studies show that level of pollutant removal in rain gardens varies and is not always positive. To date, research has often focused on a limited number of runoff pollutants. This study was conducted to develop and evaluate a new rain garden design for flow management and pollutant removal from stormwater runoff. Both column and field-scale biphasic rain gardens were designed and constructed to increase retention time and maximize removal efficiency of multiple runoff pollutants by creating a sequence of anaerobic to aerobic conditions. To evaluate hydraulic performance and pollutant removal capacity of the biphasic rain gardens, studies were conducted under actual and simulated runoff conditions with spiked concentrations of nutrients (nitrate-N and phosphate-P), and herbicides (i.e. atrazine (6- chloro-N-ethyl-N'-(1-methylethyl)-1,3,5-triazine-2,4-diamine), glyphosate (N- (phosphonomethyl)glycine), dicamba (3,6-dichloro-2-methoxybenzoic acid), and 2,4-D (2,4-dichlorophenoxyacetic acid)). Both column and field-scale studies showed that the biphasic rain gardens have the potential to be an effective best management practice for reducing stormwater flow and pollutant loads. Peak flow and runoff volume were effectively reduced five-fold in the biphasic rain gardens for actual and simulated runoff events by holding runoff in the rain gardens (mainly in the anaerobic zone) until a subsequent runoff event. The field-scale biphasic rain gardens were highly effective in removing nitrate-N (&sim91%), phosphate-P (&sim99%), atrazine (&sim90%), dicamba (&sim92%), glyphosate (&sim99%), and 2,4-D (&sim90%) under high levels of pollution loading conditions simulated in both agricultural and urban runoff events. The column studies demonstrated that the biphasic rain garden, compared to the monophasic (conventional) rain garden, was better able to reduce peak flow, runoff volume, and pollutant loads by employing the sequence of anaerobic to aerobic (biphasic) conditions. In addition, higher organic matter content in soil media increased removal efficiency of nitrate-N through denitrification in the anaerobic zone. Overall, this study showed that increased retention time of runoff pollutants, as determined by design configuration and rainfall size, intensity, and interval, significantly increased overall nutrient and herbicide removal in the biphasic rain gardens. Demonstrating more efficient hydraulic and pollutant removal capacity by the biphasic rain gardens, compared to the conventional monophasic rain gardens, is expected to stimulate the implementation of rain gardens as an effective stormwater best management practice.
机译:雨花园是生物保留系统,具有以自然和美观的方式减少峰值径流量并改善水质的潜力。尽管它们很受欢迎,但专栏和实地研究的结果表明,雨花园中污染物的去除水平各不相同,而且并不总是积极的。迄今为止,研究通常集中在数量有限的径流污染物上。进行这项研究是为了开发和评估一种新的雨水花园设计,用于流量管理和雨水径流中的污染物去除。列式和田间规模的双相雨林都经过设计和建造,以通过创建一系列厌氧到有氧条件来增加保留时间并最大程度地去除多种径流污染物。为了评估双相雨林的水力性能和污染物去除能力,在实际和模拟径流条件下进行了研究,研究的条件是营养物(硝酸盐-N和磷酸盐-P)和除草剂(例如at去津(6-氯-N-乙基-N'-(1-甲基乙基)-1,3,5-三嗪-2,4-二胺),草甘膦(N-(膦酰基甲基)甘氨酸),麦草畏(3,6-二氯-2-甲氧基苯甲酸),和2,4-D(2,4-二氯苯氧基乙酸)。专栏研究和实地研究都表明,双相雨林有可能成为减少雨水流量和污染物负荷的有效最佳管理方法。对于实际和模拟的径流事件,通过在雨季(主要在厌氧区)保持径流直到随后的径流事件,在双相雨季中,峰值流量和径流量有效降低了五倍。田间规模的双相雨林在去除硝酸盐氮(&sim91%),磷酸盐-P(&sim99%),at去津(&sim90%),麦草畏(&sim92%),草甘膦(&sim99%)和2,4方面非常有效在农业和城市径流事件中模拟的高污染负荷条件下的-D(&sim90%)。柱研究表明,与单相(常规)雨林相比,双相雨林通过采用无氧至有氧(双相)条件序列,能够更好地减少峰值流量,径流量和污染物负荷。此外,土壤介质中较高的有机物含量通过厌氧区的反硝化作用提高了硝态氮的去除效率。总体而言,这项研究表明,径流污染物的保留时间(由设计配置和降雨大小,强度和间隔决定)显着增加,从而大大增加了两相雨林中养分和除草剂的去除总量。与传统的单相雨林相比,双相雨林具有更高的水力和污染物去除能力,有望刺激雨林的实施,将其作为有效的雨水最佳管理实践。

著录项

  • 作者

    Yang, Hanbae.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 139 p.
  • 总页数 139
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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