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An Investigation of the Accuracy of EC5 and 5TE Capacitance Sensors for Soil Moisture Monitoring in Urban Soils-Laboratory and Field Calibration

机译:城市土壤水分监测EC5和5TE电容传感器精度的研究与现场校准

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摘要

Recently, emphasis has been placed on finding a reliable estimation of soil water content. In this study, two capacitance sensors EC5 and 5TE (METER Group) were utilized. These sensors provide many benefits relative to other sensors in that they are cost-effective and very economical regarding energy use, operate at a high measurement frequency of 70 MHz, and are dedicated to measuring at a small volume because of their small size. This makes them suitable for the context of use in this research, which consists of multiple sustainable drainage systems SuDS. Several studies have evaluated these two types of sensor but not for urban soils with specific characteristics. In addition, results from the literature are divergent and the published calibration data are limited. Therefore, an in-depth investigation of their accuracy is assessed in this paper. At first, the literature’s existing procedures and methods were examined. The sensor-to-sensor variability, as well as repeatability, were tested in soil and solutions. Additionally, a field calibration method was conducted to estimate the effects of soil texture on sensors readings. Two laboratory calibration methods having different principles were also applied, compared to each other and to the field calibration as well. Results revealed weak sensor-to-sensor variability (coefficient of variation up to 15% in soil) and also good repeatability (0.1%), for both sensors. A soil-specific calibration equation has improved the estimation of the volumetric water content. In case of soil having high field bulk density, the undisturbed soil calibration method described and proposed in this paper gives promising results. The latter method yields a volumetric water content (VWC) prediction accuracy of 0.025 m3∙m−3 on a sandy loam soil. This paper presents a large knowledge of capacitance sensors measurement technique as well as their calibration procedures and methods. Limitations of existing procedures have been identified and key elements for selecting the appropriate one are suggested. Derived calibration equations have also been provided for three urban soils with different particle size distribution, ranging from sandy loam to silt loam. Accurate monitoring of soil moisture content in urban soils is thus achievable.
机译:最近,重点是寻找对土壤含水量的可靠估计。在该研究中,利用了两个电容传感器EC5和5TE(仪表组)。这些传感器相对于其他传感器提供了许多益处,因为它们具有成本效益,并且对于能量使用非常经济,在70 MHz的高测量频率下操作,并且由于其小尺寸而致力于测量小体积。这使得它们适用于本研究的使用范围,这包括多种可持续排水系统泡沫。几项研究评估了这两种类型的传感器,而是对具有特定特性的城市土壤。此外,文献的结果是不同的,并且公布的校准数据有限。因此,本文评估了对其准确度的深入研究。首先,研究了文献现有的程序和方法。在土壤和溶液中测试传感器到传感器的可变性以及重复性。另外,进行了现场校准方法以估计土壤纹理对传感器读数的影响。还可以施加两个具有不同原理的实验室校准方法,以及彼此相比以及现场校准。结果显示,对于两个传感器,传感器到传感器变异性较弱(土壤中的变化系数高达15%),也是良好的重复性(0.1%)。土壤特异性校准方程改善了体积含水量的估计。在具有高场堆积密度的土壤的情况下,本文中描述和提出的未受干扰的土壤校准方法具有有前途的结果。后一种方法在砂土土壤上产生0.025m3∙M-3的体积含水量(VWC)预测精度。本文介绍了对电容传感器测量技术的大知识以及校准程序和方法。已经确定了现有程序的局限性,并建议选择适当的程序的关键要素。还为三个具有不同粒度分布的城市土壤提供了衍生的校准方程,从沙质壤土到淤泥壤土。因此,可实现城市土壤中土壤水分含量的准确监测。

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