• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Identification of subsoil compaction using electrical conductivity and spectral data across varying soil moisture regimes in Utah.
【24h】

Identification of subsoil compaction using electrical conductivity and spectral data across varying soil moisture regimes in Utah.

机译：使用电导率和光谱数据在犹他州不同土壤水分状况下识别地下土壤压实度。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Subsoil compaction is a major yield limiting factor for most agricultural crops. Tillage is the most efficient method to quickly treat compacted subsoil, but it is also expensive, increases erosion, and accelerates nutrient cycling.;The use of real-time electrical conductivity (EC) and near-infrared (NIR) reflectance values to differentiate compacted areas from uncompacted areas was studied. This method has potential to reduce monetary and time investments inherent in traditional grid sampling and the resultant deep tillage of an entire field. EC and NIR reflectance are both very sensitive to spatial variability of soil attributes.;The objective of this research was to determine whether the amount of soil moisture affects the efficacy of EC and NIR spectroscopy (at 2151.9 nm) in identifying subsoil compaction through correlation analysis, and also to determine whether a minimum level of compaction was necessary for these same methods to detect compaction in three different soil textures across a variable water gradient.;Bulk density measurements were taken in late 2007 from plots traversing an induced soil moisture gradient, and low, medium, and high levels of compaction at three locations with different soil textures. A Veris Technologies (Salina, KS) Near-Infrared Spectrophotometer equipped with an Electrical Conductivity Surveyor 3150 was used to measure and geo-reference EC and NIR reflectance data over the same plots. Analysis of the data for a correlation between compaction (bulk density values) and EC, as well as compaction and NIR reflectance, produced clear results.;It was found that electrical conductivity is not significantly different between compacted or uncompacted soils even when tested at all moisture extremes and in different soil textures in Utah. Also, NIR spectroscopy was unsuccessful at identifying subsoil compaction because all tested procedures to induce a spectrometer into the soil resulted in changes the physical properties of the soil.
机译：对于大多数农作物而言，地下土壤压实是主要的产量限制因素。耕作是快速处理压实土层的最有效方法，但它也昂贵，增加侵蚀并加速养分循环。;使用实时电导率（EC）和近红外（NIR）反射率值来区分压实土层研究了来自非压实区域的区域。这种方法具有减少传统网格采样固有的金钱和时间投资以及整个田间深耕的潜力。 EC和NIR反射率都对土壤属性的空间变化非常敏感。;本研究的目的是通过相关分析确定土壤水分的量是否影响EC和NIR光谱学（在2151.9 nm）识别地下土壤压实的功效，并确定是否必须使用最低压实水平，才能在可变的水梯度下检测三种不同土壤质地中的压实。2007年下半年，通过遍历诱导土壤水分梯度的样地进行了堆积密度测量，以及在三个具有不同土壤质地的位置的低，中和高压实度。配备了电导率测量仪3150的Veris Technologies（堪萨斯州萨利纳）近红外分光光度计用于测量同一图上EC和NIR反射率数据并对其进行地理参考。分析压实度（堆积密度值）和EC之间的相关性以及压实度和NIR反射率的数据产生了清晰的结果;发现即使在完全测试的情况下，压实或未压实土壤的电导率也没有显着差异极端水汽和犹他州不同的土壤质地。而且，NIR光谱法无法成功识别地下土壤的密实度，因为所有将光谱仪引入土壤的测试程序都会改变土壤的物理性质。

著录项

  • 作者

    Payne, Jay M.;

  • 作者单位

    Utah State University.;

  • 授予单位 Utah State University.;
  • 学科 Agriculture Soil Science.;Agriculture Agronomy.
  • 学位 M.S.
  • 年度 2008
  • 页码 89 p.
  • 总页数 89
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号