Leesu, Ecole des Ponts, Universite Paris-Est Creteil UPEC, Champs-sur-Marne,77455 Marne-la-Vallee CEDEX 2, France.
Faculty of Engineering Third Branch, Lebanese University, Hadath Campus, 6573/14 Beirut, Lebanon.
Sensors (Basel). 2020 Nov 14;20(22):6510. doi: 10.3390/s20226510.
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 m∙m 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.
最近,人们越来越关注寻找一种可靠的土壤水分估算方法。在本研究中,使用了两个电容传感器 EC5 和 5TE(METER Group)。与其他传感器相比,这些传感器具有许多优势,它们具有成本效益,在能源使用方面非常经济,工作频率高达 70MHz,并且由于其体积小,专门用于测量小体积。这使得它们适用于本研究中的多个可持续排水系统 SuDS 的使用环境。已经有几项研究评估了这两种类型的传感器,但不适用于具有特定特性的城市土壤。此外,文献中的结果存在差异,并且公布的校准数据有限。因此,本文评估了对其准确性的深入研究。首先,检查了文献中现有的程序和方法。在土壤和溶液中测试了传感器之间的可变性和重复性。此外,还进行了现场校准方法来估算土壤质地对传感器读数的影响。还应用了两种具有不同原理的实验室校准方法,并相互进行了比较,也与现场校准进行了比较。结果表明,两种传感器的传感器间可变性都较弱(土壤中高达 15%的变异系数),重复性也很好(0.1%)。土壤特异性校准方程提高了对体积含水量的估算。对于田间容重较高的土壤,本文提出的和描述的原状土壤校准方法具有很好的结果。该方法在砂壤土上可获得 0.025 m·m 的体积含水量预测精度。本文介绍了电容传感器测量技术及其校准程序和方法的大量知识。确定了现有程序的局限性,并提出了选择合适程序的关键要素。还为三种具有不同粒径分布的城市土壤提供了衍生的校准方程,范围从砂壤土到粉壤土。因此,可以实现对城市土壤中土壤水分含量的精确监测。