| 引用本文: | 姚丽,王仰仁,王浩,等.电容式土壤温度水分盐分三参数传感器率定[J].灌溉排水学报,2020,(5):-. |
| YAO Li,WANG Yang-ren,WANG Hao,et al.电容式土壤温度水分盐分三参数传感器率定[J].灌溉排水学报,2020,(5):-. |
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| 电容式土壤温度水分盐分三参数传感器率定 |
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姚丽, 王仰仁, 王浩, 李泳霖, 范欣瑞
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天津农学院
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| 摘要: |
| 【目的】检验温度水分盐分三参数传感器（SMEC 300）测定土壤含水率、电导率的精度。【方法】在天津农学院西校区农田水循环试验基地进行了土壤含水率与电导率的率定试验。试验设置3种供水水平（2.65、3.25、3.8 kg）和4种盐分水平（加盐量0、20、70、100 g）以及六种矿化度梯度（1、5、10、15、20、25g/L）。土壤含水率率定试验，布置6个盆，盆内干土质量为8.85kg，土层厚度为10 cm，传感器埋置于土面下5 cm处，试验期间定期称取盆的质量，由此测得土壤实际含水率；电导率率定试验也布置6个盆，盆内加水8 L/盆，盆内放置四个传感器，每40 min测试一个处理，利用数据采集仪获取传感器数据。分别对土壤含水率和电导率进行率定。【结果】传感器测定的电导率与矿化度呈显著的指数关系，相关系数均在0.92以上；土壤盐分影响土壤含水率的率定，实际含水率与传感器测定的土壤含水率和电导率呈二元线性关系，相关系数最大为0.9404，最小为 0.6019，均达到了显著或极显著水平。，不同传感器的率定参数有较大差异。【结论】电容式土壤温度水分盐分三参数传感器有其对应的参数，应逐个传感器进行率定。 |
| 关键词: 土壤含水率，电导率，率定，传感器 |
| DOI： |
| 分类号:S275 |
| 基金项目:基于不确定性的限量供水灌溉预报节水增产机制，天津市节水灌溉技术与装备校企协同创新重点实验室 |
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| Calibration of soil temperature water and salt capacitive sensor |
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YAO Li, WANG Yang-ren, WANG Hao, LI Yong-lin, FAN Xin-rui
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College of Water Conservancy Engineering,Tianjin Agricultural University
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| Abstract: |
| Soil water content is important and commonly used information for farmland irrigation. It is the basis for regulating soil moisture conditions for water-saving irrigation, realizing scientific water use and irrigation automation, and has important guiding significance in the fight against drought and disaster reduction. The traditional method for determining soil moisture content is the drying method. Although this method is accurate, the method is more complicated and cannot provide real-time information in a timely manner. Therefore, many scholars at home and abroad have proposed a variety of methods for measuring soil moisture, such as neutron method, γ-ray transmission method, electromagnetic wave method, resistance method, capacitance method, photoelectric method and so on. The accurate use of instruments to test soil moisture content, soil electrical conductivity (ECa), and soil solution electrical conductivity (ECw) is essential for better management of irrigation water and effective monitoring and control of soil salinity. 【Objective】In order to test the accuracy of soil moisture content and conductivity measured by temperature and salinity three-parameter sensor (SMEC 300), 【Method】The soil moisture content and conductivity rated experiment were carried out in the farmland water cycle experiment base of Tianjin Agricultural University West Campus. Three water supply levels (2.65, 3.25, 3.8kg), four salt levels (salt content 0, 20, 70, 100 g) and six salinity gradients (1, 5, 10, 15, 20, 25 g/L) were set. Six plastic pots of the same volume shape were arranged at the test site. The dry soil in the basins was 8.85kg, the soil layer thickness was 10cm, and the sensor was buried 5 cm below the soil surface. During the test, the mass of the soil in the pot was regularly weighed to measure the actual water content of the soil; the conductivity test was also arranged in the same 6 pots, each of which was filled with 8L of water, and four sensors were placed in each pot. One processing was tested every 40 minutes. Soil moisture content and conductivity were calibrated respectively. 【Results】The results show that the electrical conductivity measured by the sensor has a significant exponential relationship with the degree of salinity, and the correlation coefficients were all above 0.92. The soil salinity affected the calibration of the soil moisture content, the actual water moisture content has a significant binary linear relationship with the soil moisture content and conductivity measured by the sensor, with the correlation coefficient being 0.9404 at the maximum and 0.6019 at the minimum, all reaching significant or extremely significant levels. The calibration parameters of different sensors were quite different. 【Conclusion】 Capacitive sensor has its corresponding parameters, which should be calibrated one by one. Soil salinity significantly affectd the accuracy of the sensor's. Therefore, the calibration of soil moisture content was effected and the scope of application of the capacitive sensor was broadened by importing electrical conductivity; the electrical conductivity measured by the sensor increased with the increase in salinity. There was a significant exponential relationship between electrical conductivity and salinity. |
| Key words: soil;moisture content,conductivity,calibrated,sensor |
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