FDR土壤水分传感器田间性能测试分析  

Field Performance Test and Analysis of FDR Soil Moisture Sensor

作　　者：吴勇[1] 钟永红[1] 杜森[1] 姚丽 岳焕芳 孟范玉 WU Yong;ZHONG Yong-hong;DU Sen;YAO Li;YUE Huan-fang;MENG Fan-yu(National Agricultural Technology Extension Service Center,Beijing 100125,China;Nongxin Technology(Beijing)Co.LTD,Beijing 100097,China;Beijing Agricultural Technology Extension Station,Beijing 100125,China;Key Laboratory of Agricultural Information Software and Hardware Product Quality Testing,Ministry of Agriculture,Beijing 100125,China)

机构地区：[1]全国农业技术推广服务中心,北京100125 [2]农芯科技(北京)有限责任公司,北京100097 [3]北京农业技术推广站,北京100125 [4]农业部农业信息软硬件产品质量检测重点实验室,北京100125

出　　处：《节水灌溉》2021年第2期41-46,共6页Water Saving Irrigation

基　　金：国家重点研发计划项目(2016YFC0403102,2018YFF0213602-03);北京市科技计划项目(Z181100002418004);北京市农林科学院创新能力建设项目(KJCX20180701)。

摘　　要：为了解不同土壤水分传感器的工作性能,以目前国内应用最为广泛的频域反射性(FDR)土壤水分传感器为例,考虑当前新型的探管式结构,选取3种国产主流的FDR(管式)传感器(编号为Q1、Q2和Q3)进行261 d的田间性能测试试验。结果表明:3种传感器监测的土壤含水量曲线变化规律一致,峰值出现在有降雨时,表层土壤含水量曲线波动幅度大于深层土壤。但3种传感器在绝对数值上存在较大差异,土壤含水量变异系数在0.20~0.58之间。3种传感器的观测数值受温度影响较大,表层(0~20 cm)土壤变异系数大于深层土壤,增幅为38%以上,夏季(6月到7月)的土壤含水率变异系数大于其他季节,增幅为16%。通过对传感器观测值和人工观测值进行数据拟合,分别建立了3种传感器土壤水分的原位二次标定方程,有效降低了传感器之间的变异系数,降幅为53%~66%。因此,在农田应用中,应考虑土壤温度、土壤类型因素对FDR传感器原位二次标定的影响,以消除不同传感器工厂标定的差异性。In order to understand the performance of different soil water sensors,this paper took the frequency-domain reflective(FDR)soil water sensor,which is most widely used in China,as an example.Considering the current new type of tubular probe structure,three domestic mainstream FDR tubular sensors(serial number Q1,Q2 and Q3)were selected to carry out field performance test for 261 days.The results showed that the variation of soil water content curve monitored by the three sensors was consistent,and the peak value occured when there was rainfall,and the fluctuation range of surface soil water content curve was larger than that of deep soil.However,the absolute values of the three species were quite different,and the coefficient of variation of soil water content ranged from 0.20 to 0.58.The observed values of the three sensors were greatly affected by temperature.The variation coefficient of surface(0~20 cm)soil was greater than that of deep soil,with an increase of more than 38%.The coefficient of variation of soil moisture content in summer(June to July)was higher than that in other seasons,with an increase of 16%.Through data fitting of sensor observations and manual observations,the in-situ secondary calibration equations of three kinds of sensor soil moisture were established respectively,which effectively reduced the coefficient of variation between sensors by 53%~66%.Therefore,in farmland applications,the influence of soil temperature and soil type factors on the in-situ secondary calibration of FDR sensors should be considered to eliminate the differences in calibration of different sensor factories.

关 键 词：土壤水分传感器 FDR 性能测试 土壤含水量 

分 类 号：S237[农业科学—农业机械化工程]