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Estimation of soil water content and resident and effluent solute concentrations using time domain reflectometry.

机译:使用时域反射法估算土壤含水量以及居民和污水中的溶质浓度。

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摘要

Monitoring solute concentrations within an undisturbed soil core during saturated and unsaturated flow can provide first-hand information for better understanding solute transport processes as well as data required for numerical simulation of solute transport. Time domain reflectometry (TDR) has recently been used to monitor solute concentration in both laboratory and field soils. Although TDR has been shown to measure resident solute concentrations, C r, it has not been fully developed to measure solute transport. The objectives of this study are to evaluate TDR's abilities to accurately estimate Cr and to predict transport of the flux average concentration also termed effluent solute concentration, Ce.; Relationships of TDR-measured apparent soil dielectric constant (K a) to water content (&thetas;v), Ka to &thetas; v and bulk soil electrical conductivity (σa), and σ a to &thetas;v and Cr were developed using data obtained from incremental addition of solutions with different solute concentrations to four packed soil cores. The Cr breakthrough curves (BTC) were estimated using the σa-&thetas;v-Cr relationship and TDR-measured σa and -estimated &thetas; v for packed and undisturbed cores under steady flow conditions with various flow velocities. Effluent BTC was predicted from the Cr BTC either using solute transport models or by mass balance.; Effects of σa on Ka or &thetas;v were site-specific and were not explained by TDR theory. A Ka to σ a and &thetas;v relationship developed from packed core data did not adequately describe the effects of σa on TDR-measured Ka for an undisturbed soil core, the effect of σa was only removed by individual calibrations. The σa-&thetas; v-Cr relationship developed in this study fitted packed soil core data with higher r2 and gave more accurate Cr estimation than three published models. An increase in flow velocity increased variation of TDR-measured σa, and thus variation of TDR-estimated Cr for measurements on undisturbed soil cores over a range of pore water velocity (ν, 0.5–86.1 cm hr–1). The effluent breakthrough curve (BTC) predicted with solute transport models using solute transport parameters obtained by fitting the same models to TDR-estimated Cr BTC usually deviated from the measured effluent BTC; whereas, a simple mass balance method demonstrated the capability of accurately predicting effluent BTC.
机译:在饱和和非饱和流动过程中,监测原状土壤核心中的溶质浓度可以提供第一手信息,以便更好地了解溶质运移过程以及溶质运移数值模拟所需的数据。时域反射仪(TDR)最近已用于监测实验室和田间土壤中的溶质浓度。尽管已证明TDR可测量居民溶质的浓度C r ,但尚未完全开发出用于测量溶质迁移的方法。这项研究的目的是评估TDR准确估计C r 的能力,并预测通量平均浓度(也称为流出物溶质浓度C e )的传输。 TDR测得的表观土壤介电常数(K a )与含水量(thetas; v ),K a 与&thetas; v 和土壤电导率(σ a ),以及σ a 对&thetas; v 和C r 是使用通过将具有不同溶质浓度的溶液逐步添加到四个堆积的土壤核中而获得的数据开发的。使用σ a -thetas; v -C r 关系估计C r 穿透曲线(BTC)和TDR测量的σ a 和-估计的θ v 在不同流速的稳定流动条件下对填充和未扰动岩心的估计。使用溶质运移模型或通过质量平衡从C r BTC预测了出水BTC。 σ a 对K a 或θ v 的影响是位点特异性的,TDR理论没有对此进行解释。从打包核心数据得出的Ka与σ a 和&thetas; v 关系没有充分描述σ a 对TDR测量的K的影响对于未扰动的土壤核心, a 只能通过单独的校准来消除σ a 的影响。本研究建立的σ a -thetas; v -C r 关系拟合了具有较高r 2 的填充土心数据super>并给出了比三个已发布模型更准确的C r 估计。流速的增加会增加TDR测得的σ a 的变化,从而增加TDR估算的C r 的变化,用于在一定范围的孔隙水速度范围内对未扰动的土壤核心进行测量(ν,0.5–86.1厘米hr –1 )。使用溶质运移参数通过溶质运移参数预测的流出物突破曲线(BTC),该溶质运移参数是通过将相同模型拟合到通常偏离测量的排放物BTC的TDR估算的Cr BTC来获得的;相反,一种简单的质量平衡方法证明了准确预测废水中BTC的能力。

著录项

  • 作者

    Shen, Fulin.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Agriculture Soil Science.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 土壤学;
  • 关键词

  • 入库时间 2022-08-17 11:48:25

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