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Evaluation and Calibration of Soil Moisture Sensors in Undisturbed Soils

机译:不受干扰土壤水分传感器的评价与校准

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There is increasing interest and demand for growers and researchers to use soil moisture sensors for water management and research in the state of Mississippi. Previous studies demonstrated great challenges in the selection and deployment of sensors for accurate monitoring of soil moisture due to the high variability of soil types and properties. In this study, we evaluated and calibrated three soil moisture sensors, TDR315 (Acclima), CS655 (Campbell Scientific), and GS1 (Meter Group), on-site in fields and in undisturbed soil samples in the laboratory. We selected six predominant soil types from across Mississippi, including four clayey soils (Sharkey clay loam, Brooksville silty clay, Tunica clay, and Bowling clay) and two loamy soils (Commerce sandy loam andLeeper sandy loam) for the tests. Results indicated that these three types of sensors with built-in factory calibration generally overestimated the volumetric water content (9v) of the soils in both field and laboratory. The Ov readings of these sensors were closer to the 6V determined by gravimetric method in the sandy loam than in the clayey soils. The three types of sensors basically met their factory root mean squared error (RMSE) criteria in loamy soils, but they varied in their performance. The RMSE ofTDR315 ranged from 0.03 to 0.17, while CS655 and GS1 had greater RMSE, ranging from 0.03 to 0.29 cm3 cm3. Specific calibration ofTDR3l5 and CS655 was conducted for each of the six soils using combinations of on-site field data and laboratory undisturbed soil data. Field validation on clay and sandy loam soils suggested that the accuracy of the soil water content measurements by CS655 and TDR315 was acceptable (R2 > 0.6) with proper in situ and undisturbed soil-specific calibration.
机译:对种植者和研究人员来说,利用土壤湿度传感器对密西西比州的水管理和研究进行越来越兴趣和需求。以前的研究表明,由于土壤类型和性质的高度可变性,对传感器的选择和部署进行了精确监测土壤水分的巨大挑战。在这项研究中,我们评估和校准了三种土壤湿度传感器,TDR315(Acclima),CS655(Campbell Scientific)和GS1(仪表组),在实验室中的不受干扰的土壤样本。我们从密西西比州举办了六种主要的土壤类型,其中包括四种粘土土壤(Sharkey Clay Loam,Brooksville粉质粘土,苔藓粘土和保龄球)和两个遗传土壤(Commerce Sandy Loam Andleeper Sandy Loam)进行测试。结果表明,这三种类型的传感器具有内置工厂校准的传感器通常高估了该场和实验室的土壤体积含水量(9V)。这些传感器的OV读数更接近于在砂质壤土中的重量法测定的6V,而不是粘土土壤。这三种类型的传感器基本上符合其工厂的根均匀的误差(RMSE)标准,但它们的性能变化。 RMSE OFTDR315的范围为0.03至0.17,而CS655和GS1具有更大的RMSE,范围为0.03至0.29cm3cm 3。使用现场现场数据和实验室不受干扰的土壤数据的组合对六种土壤中的每一个进行特异性校准TDR3L5和CS655。粘土和砂土壤土土壤的验证表明,CS655和TDR315的土壤水含量测量的准确性可接受(R2> 0.6),原位和不受干扰的土壤特异性校准。

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