Bias of stormwater infiltration measurement methods evaluated using numerical experiments
Bias of stormwater infiltration measurement methods evaluated using numerical experiments
复制标题
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
中科院分区:
文献类型:
--
作者:
Tecca, Nicholas P.;Nieber, John;Gulliver, John
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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DOI:
--
发表时间:
1963
期刊:
影响因子:
--
作者:
A. Johnson
通讯作者:
A. Johnson
DOI:
--
发表时间:
2016
期刊:
影响因子:
--
作者:
Ryan S. Lee;R. Traver;A. Welker
通讯作者:
A. Welker
影响因子:
2.4
作者:
María García;J. Gulliver;J. Nieber
通讯作者:
J. Nieber
DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
Mark Linsenmayer;Sharon M. Van Sluijs;Ctc Associates Llc
通讯作者:
Ctc Associates Llc
DOI:
10.1007/s11270-013-1803-y
发表时间:
2013
期刊:
Water, Air, & Soil Pollution
影响因子:
--
作者:
K. Paus;J. Morgan;J. Gulliver;T. Leiknes;R. Hozalski
通讯作者:
R. Hozalski