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Using electromagnetic induction sensing to understand the dynamics and interacting factors controlling soil salinity.

机译:使用电磁感应感应来了解控制土壤盐分的动力学和相互作用因素。

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摘要

Soil salinization is of great concern in the irrigated arid and semi-arid western United States due to its threat to sustainable agricultural productivity and thus is closely monitored. A widely accepted and traditional standard method for estimating soil salinity is the electrical conductivity of the saturated paste extracts (ECe). However, this method underestimates salinity due to ion pair formation in high ionic strength solution.;Numerous studies have recommended the use of an electromagnetic induction (EMI) sensing technique to monitor field-scale soil salinity due to rapidness and non-destructiveness of the sampling. However, because the EMI measurement (ECa) is related to a host of soil properties, calibrating ECa to salinity in a non-homogeneous setting is particularly challenging.;The main objective of this study is to understand the dynamics and interacting factors controlling soil salinity using an EMI sensor. Specifically, a correction is made for the underestimation of soil salinity from saturated paste extracts, and a calibration model is developed that is capable of predicting salinity directly from ECa despite the non-homogeneity of potential perturbing factors. A comparison is made of salinity measurement methods based on soil saturated pastes with respect to specific soil management goals.;Results show that ion pairing exists even in low ionic strength solution and by diluting the saturated paste extracts to conductivities ≤0 .03 dS m-1 (ECed), ion pairing is minimized. An improved salinity estimate is obtained by computing total dissolved solids (TDS, in mM) from the ECed values, and then multiplying the TDS by the dilution factor. We also developed a calibration model using quantile regression, which makes no assumption about the distribution of the errors, and which is capable of predicting low range soil salinity (such as that in calcareous soils) from ECa depth-weighted measurements (ECH25ECe). A comparison of ECe, ECed, ECH25ECe , and direct measurement of EC in soil pastes ("Bureau of Soils Cup" method, ECcup) across six depths, three texture groups, and the combinations of EC method and depth or texture groups, supports the use of the EC H25ECe method to rapidly and reliably monitor salinity in calcareous soils of arid and semiarid regions.
机译:由于土壤盐渍化对可持续农业生产力的威胁,因此在美国西部干旱和半干旱的灌溉地区,土壤盐渍化引起了极大关注。估算土壤盐度的一种广泛接受的传统标准方法是饱和糊状提取物(ECe)的电导率。但是,这种方法低估了由于高离子强度溶液中离子对的形成而导致的盐度。许多研究建议使用电磁感应(EMI)传感技术来监测由于采样的快速性和无损性而导致的田间土壤盐度。 。但是,由于EMI测量(ECa)与许多土壤特性有关,因此在非均质环境中将ECa校准为盐度特别具有挑战性;该研究的主要目的是了解控制土壤盐分的动力学和相互作用因素。使用EMI传感器。具体而言,对饱和糊状提取物对土壤盐分的低估进行了校正,并且开发了一种校准模型,该模型可以直接从ECa预测盐度,尽管潜在干扰因素不均一。比较了基于土壤饱和糊剂与特定土壤管理目标的盐度测量方法。结果表明,即使在低离子强度溶液中,通过将饱和糊剂提取物稀释至电导率≤0 .03 dS m-,也存在离子对。 1(ECed),最小化了离子对。通过从ECed值计算总溶解固体(TDS,以mM为单位),然后将TDS乘以稀释倍数,可以得到更好的盐度估算值。我们还使用分位数回归开发了一种校准模型,该模型不对误差的分布进行任何假设,并且能够根据ECa深度加权测量值(ECH25ECe)预测低范围土壤盐度(例如钙质土壤中的盐度)。比较ECe,ECed,ECH25ECe和直接测量六种深度,三个纹理组以及EC方法与深度或纹理组的组合的土壤糊中的EC(“ Bureau of Soils Cup”方法,ECcup),可以支持使用EC H25ECe方法快速,可靠地监测干旱和半干旱地区钙质土壤中的盐度。

著录项

  • 作者

    Amakor, Xystus N.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Agriculture Soil Science.;Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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