Bias of stormwater infiltration measurement methods evaluated using numerical experiments

Bias of stormwater infiltration measurement methods evaluated using numerical experiments
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使用数值实验评估雨水渗透测量方法的偏差

DOI:
10.1002/vzj2.20210
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发表时间:
2022
影响因子:
2.8
通讯作者:
Gulliver, John
Gulliver, John
中科院分区:
地球科学3区
文献类型:
--
作者:
Tecca, Nicholas P.;Nieber, John;Gulliver, John

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渗透雨水控制措施有可能有助于减轻城市化对下游受纳沃茨的影响。当原位饱和导水率(Ksat)得到良好表征时,渗透SCM通常会取得成功。本文采用理查兹方程的数值解来量化七种入渗测量方法的偏差,从分析中去除自然变异和随机误差。本研究评价的方法包括双环渗透仪、Saturo渗透仪、改良Philip-Dunne渗透仪、Turf‐Tec IN 2 ‐W渗透仪、USBR 7300‐89井渗透仪、Philip-Dunne渗透仪和圭尔夫渗透仪。七个均匀,各向同性的土壤质地进行了模拟,在四个初始土壤水分的七种方法,导致在196个模拟。无因次偏差定义为给定方法确定的“测量“Ksat除以数值试验的输入Ksat。“被测量“的Ksatis在引文中用来标识测量发生在数值实验中而不是物理实验中。在砂通过粉壤土是典型的渗透SCMs,模拟方法有一个偏差在0.7-6.2的范围内。Turf‐Tec是唯一一种对这些土壤产生偏差>2.5的渗透仪。对于大多数方法,初始有效饱和度对偏倚的贡献最小。依赖于一维(1D)流动假设的方法始终高估了Ksat。钻孔法产生的结果与地面法的偏差相似。长持续时间的方法并不总是比短持续时间的方法产生更准确的结果。
Infiltration stormwater control measures (SCMs) have the potential to contribute towards mitigating the effects of urbanization on downstream receiving waters. Infiltration SCMs are most often successful when the in‐situ saturated hydraulic conductivity (Ksat) is well characterized. In this paper numerical solutions of the Richards’ equation are used to quantify the bias of seven infiltration measurement methods, removing natural variability and random error from the analysis. The methods evaluated in this study include the double ring infiltrometer, Saturo infiltrometer, modified Philip–Dunne infiltrometer, Turf‐Tec IN2‐W infiltrometer, USBR 7300‐89 well permeameter, Philip–Dunne permeameter, and the Guelph permeameter. Seven homogenous, isotropic soil textures were simulated at four initial soil moistures for the seven methods, resulting in a total of 196 simulations. The dimensionless bias is defined as the “measured”Ksatdetermined by a given method divided by theKsatinput to the numerical experiments. The “measured”Ksatis in quotations to identify the measurement occurs in a numeric experiment rather than in a physical experiment. In sand through silt loam soils that are typical of infiltration SCMs, the simulated methods have a bias in the range of 0.7–6.2. The Turf‐Tec was the only infiltrometer that produced a bias >2.5 for these soils. Initial effective saturation had a minimal contribution to bias for most methods. Methods that rely on a one‐dimensional (1D) flow assumption consistently overestimated theKsat. Borehole methods produced results with bias similar to surface methods. Long duration methods did not consistently produce more accurate results than short duration methods.
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