首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor
【2h】

Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor

机译:使用5TE传感器进行土壤水分和盐度测量的实验室校准和现场验证

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Capacitance sensors are widely used in agriculture for irrigation and soil management purposes. However, their use under saline conditions is a major challenge, especially for sensors operating with low frequency. Their dielectric readings are often biased by high soil electrical conductivity. New calculation approaches for soil water content ( ) and pore water electrical conductivity (ECp), in which apparent soil electrical conductivity (ECa) is included, have been suggested in recent research. However, these methods have neither been tested with low-cost capacitance probes such as the 5TE (70 MHz, Decagon Devices, Pullman, WA, USA) nor for field conditions. Thus, it is important to determine the performance of these approaches and to test the application range using the 5TE sensor for irrigated soils. For this purpose, sandy soil was collected from the Jemna oasis in southern Tunisia and four 5TE sensors were installed in the field at four soil depths. Measurements of apparent dielectric permittivity (Ka), ECa, and soil temperature were taken under different electrical conductivity of soil moisture solutions. Results show that, under field conditions, 5TE accuracy for θ estimation increased when considering the ECa effect. Field calibrated models gave better θ estimation (root mean square error (RMSE) = 0.03 m m ) as compared to laboratory experiments (RMSE = 0.06 m m ). For ECp prediction, two corrections of the Hilhorst model were investigated. The first approach, which considers the ECa effect on K’ reading, failed to improve the Hilhorst model for ECp > 3 dS m for both laboratory and field conditions. However, the second approach, which considers the effect of ECa on the soil parameter K , increased the performance of the Hilhorst model and gave accurate measurements of ECp using the 5TE sensor for irrigated soil.
机译:电容传感器在农业中广泛用于灌溉和土壤管理。然而,它们在盐水条件下的使用是一个主要的挑战,特别是对于低频运行的传感器。它们的介电读数通常会因土壤电导率高而产生偏差。最近的研究提出了一种新的计算土壤水分()和孔隙水电导率(ECp)的方法,其中包括了表观土壤电导率(ECa)。但是,这些方法都没有经过低成本电容探头(例如5TE(70 MHz,Decagon Devices,Pullman,WA,USA))的测试,也没有在现场条件下进行测试。因此,重要的是确定这些方法的性能,并使用5TE传感器测试灌溉土壤的应用范围。为此,从突尼斯南部的杰姆纳绿洲收集了沙质土壤,并在野外以四个土壤深度安装了四个5TE传感器。在土壤水分溶液的不同电导率下测量表观介电常数(Ka),ECa和土壤温度。结果表明,在野外条件下,考虑ECa效应,用于θ估计的5TE精度提高了。与实验室实验(RMSE = 0.06 m m)相比,现场校准的模型提供了更好的θ估计值(均方根误差(RMSE)= 0.03 m m)。对于ECp预测,研究了Hilhorst模型的两次校正。第一种方法考虑了ECa对K'读数的影响,但在实验室和现场条件下,都无法改善ECp> 3 dS m的Hilhorst模型。但是,第二种方法考虑了ECa对土壤参数K的影响,提高了Hilhorst模型的性能,并使用5TE传感器对灌溉土壤进行了ECp的准确测量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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