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首页> 外文期刊>Cities And The Environment >Evaluation of the Stormwater Capture Potential of New York City Soils: Implications of Infiltration Rate Variability on Urban Runoff Predictions
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Evaluation of the Stormwater Capture Potential of New York City Soils: Implications of Infiltration Rate Variability on Urban Runoff Predictions

机译:纽约市土壤雨水捕获潜力的评估:入渗率变化对城市径流预测的影响

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The properties used to characterize soils and, more specifically, those that are used to describe the rate at which water infiltrates into them, are key parameters in most rainfall-runoff models. Because these parameters are known to be highly variable, they are a known source of uncertainty in our ability to predict runoff from pervious surfaces. The goals of this study were to a) characterize the heterogeneity in soil and infiltration characteristics in specific types of pervious surfaces found in New York City, and b) to study the potential effect of this heterogeneity on prediction of the total volume and peak rate of runoff from specific rainfall hyetographs. Characterization of soil and infiltration characteristics was performed at a variety of sites throughout NYC during Summer and Fall 2009. As expected, statistical analysis of the data, which includes nearly two dozen individual tests, showed high variability. The USEPA Stormwater Management Model, (SWMM) an industry standard, was then used to examine the impact of this heterogeneity on predictions of peak flow and total runoff volume for a design storm. The preliminary results of this work suggest that although soil and infiltration properties are highly variable, only a small portion of this range can significantly alter the runoff predictions obtained from SWMM using this particular design storm. Future research will address the significance of the variability in runoff predictions given a more diverse set of storm events for more generalizeable results.
机译:在大多数降雨径流模型中,用来表征土壤的特性,更具体地说,用来描述水渗透到土壤中的速率的特性是关键参数。因为这些参数是高度可变的,所以它们是我们从透水表面预测径流能力的不确定性的已知来源。这项研究的目的是:a)在纽约市发现的特定类型的透水表面中表征土壤的异质性和入渗特征,b)研究这种异质性对预测总体积和峰值速率的潜在影响特定雨量湿度记录仪的径流。在2009年夏季和秋季,在纽约市的各个地点进行了土壤和入渗特性的表征。与预期的一样,对数据的统计分析(包括近两打单独的测试)显示出较高的变异性。然后,使用了USEPA雨水管理模型(SWMM)(一种行业标准)来检查这种异质性对设计风暴的峰值流量和总径流量的预测的影响。这项工作的初步结果表明,尽管土壤和入渗特性变化很大,但在这一范围内只有一小部分可以显着改变使用这种特殊设计风暴从SWMM获得的径流预测。未来的研究将解决径流预测中变异性的重要性,因为风暴事件集更加多样化,结果具有更广泛的适用性。

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