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Estimation of Cl-based Soil Compaction Status from Soil Apparent Electrical Conductivity

机译:土壤表观电导率基于CL基土压缩状态的估计

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Regionalization of soil properties is very important for successful site-specific field management. Soil compaction is a critical issue to be detected and managed due to its effects on crop growth. Soil compaction has been conventionally quantified ascone index (CI) measured by an ASABE-standard cone penetrometer, but this approach has limited capability of obtaining the spatially-dense data required for precision agriculture. A significant amount of past research has related CI with apparent soil electrical conductivity (ECa), and recently the potential of ECa to estimate subsoil compaction status through the stress-at-rest-coefficient (KO), defined as the ratio of normal compaction and pre-compaction, was introduced. The objective of this study was to explore the potential of relating KO with ECa using data obtained from sites with wide ranges of soil texture, bulk density, and water content, properties that significantly affect both CI and ECa. The following data was collected from 35 sites inMissouri and Illinois fields: CI profile up to 75 cm with a 5-cm interval, ECa measured by EM38 and Veris devices, and depth-dependent soil properties such as soil texture, bulk density, and water content. First, KO values were calculated from CI profiles by depth and related to ECa measurements. Then, effects of the soil properties on the relationships between KO and ECa were investigated. Results of this study will provide insights on the effects of soil properties on soil compaction, and on the potential to use ECa to estimate the status of soil compaction.
机译:土壤性质的区域化对于成功的现场特定领域管理非常重要。土壤压实是由于其对作物生长的影响而被检测和管理的关键问题。土壤压实已经通过兼赤字标准锥形孔径计测量的常规量化升高指数(CI),但这种方法具有获得精密农业所需的空间密集数据的有限能力。大量过去的研究具有相关的CI,具有明显的土壤导电性(ECA),并且最近通过应力 - 静息系数(KO)来估计子系统压实状态的ECA的潜力,定义为正常压实的比率和介绍了预压缩。本研究的目的是利用从宽范围的地点,散装密度和含水量,显着影响CI和ECA的特性,探讨与ECA相关的KO与ECA相关的潜力。从35个站点内收集以下数据:CI配置文件高达75厘米,具有5厘米的间隔,ECA由EM38和Veris器件测量,以及深度依赖的土壤性质,如土壤质地,散装密度和水内容。首先,通过深度和与ECA测量相关的CI配置来计算KO值。然后,研究了土壤性质对KO与ECA之间关系的影响。本研究的结果将为土壤性质对土壤压实的影响提供见解,以及利用ECA估算土壤压实状态的潜力。

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