Assessment of the Combined Effect of Temperature and Salinity on the Outputs of Soil Dielectric Sensors in Coconut Fiber

被引:8
作者
Banon, Sebastian [1 ]
Ochoa, Jesus [1 ]
Banon, Daniel [2 ]
Ortuno, Maria Fernanda [2 ]
Sanchez-Blanco, Maria Jesus [2 ]
机构
[1] UPCT Tech Univ Cartagena, Dept Agr Engn, Cartagena 30203, Spain
[2] CEBAS CSIC Ctr Edaphol & Appl Biol Segura, Dept Irrigat, Murcia 30100, Spain
基金
欧盟地平线“2020”;
关键词
soil moisture; probe; salinity; volumetric water content; temperature; BULK ELECTRICAL-CONDUCTIVITY; TIME-DOMAIN REFLECTOMETRY; WATER-CONTENT; MOISTURE SENSORS; PERMITTIVITY; CALIBRATION; IRRIGATION; PERFORMANCE; ECH2O;
D O I
10.3390/su12166577
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Dielectric sensors are useful instruments for measuring soil moisture and salinity. The soil moisture is determined by measuring the dielectric permittivity, while bulk electrical conductivity (EC) is measured directly. However, permittivity and bulk EC can be altered by many variables such as measurement frequency, soil texture, salinity, or temperature. Soil temperature variation is a crucial factor as there is much evidence showing that global warming is taking place. This work aims to assess how variations in the temperature and salinity of coconut fiber affect the output of EC5 (voltage) and GS3 (permittivity and bulk EC) Decagon sensors. The results showed that the effect of temperature and salinity on the output of the sensors can lead to substantial errors in moisture estimations. At low salinity values, permittivity readings decreased as temperature increased, while voltage readings were not affected, regardless of substrate moisture. The GS3 sensor underestimated the bulk EC when it is measured below 25 degrees C. The temperature dependence of the voltage of EC5 was not significant up to 10 dS m(-1), and the permittivity of the GS3 was more affected by the interaction between temperature and salinity. The effect that salinity has on the permittivity of the GS3 sensor can be reduced if a permittivity-moisture calibration is performed with saline solutions, while the effect resulting from the interaction between temperature and salinity can be minimized using a regression model that considers such an interaction.
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页数:14
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