A data-driven method to remove temperature effects in TDR-measured soil water content at a Mongolian site

Lu, Minjiao; Kapilaratne, Jeewantinie; Kaihotsu, Ichirow

doi:10.3178/hrl.9.8

Cited by 11 publications

(31 citation statements)

References 18 publications

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“…Notice that difference increases between the first and third quartile from 0.0 up to 0.27 m 3 m -3 (Figure 1). The sensibility behavior of period for temperatures is function of the water content level, and it may vary proportionally by changes in water soil content (Benson & Wang, 2006;Lu et al, 2015). We found in this study an uniform response of the period for soil water content 0.0 m 3 m -3 (Figure 2).…”

Section: Resultssupporting

confidence: 55%

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Laboratory temperature-compensating calibration procedure for soil water content determination by reflectometry

et al. 2018

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The water content reflectometer allows a temporal and spatial assessment in soil water dynamic. This work aimed to study the behavior of the sensor (CS616) for the period measurement in function to the temperature and soil water content. The tests were conducted at State University of Mato Grosso, Tangara da Serra municipality. We used PVC (polymerizing vinyl chloride) pipe to make six recipients (0.1 m diameter and 0.4 m height) and filled them with soil. For each one of them a sensor CS616 and temperature sensor (K type) were allocate in a central position. The soil water content for each recipient were fitted to 0.00; 0.06; 0.11; 0.16; 0.22; 0.27 m 3 m -3 , and the samples were submitted to temperature gradient from 1.0 up to 40.0 °C. Data of temperature, and period response were recorded in a data logger. Notice that the temperature provides changes for period response values (μs), and as greater the soil water content, as greater the temperature influence. From collected data, two models were fitted (linear and quadratic), and compared with manufacturer standard equations. For conditions in that study, the fitted quadratic model provide the best approach for the water soil content prediction.Additional keywords: CS616, sensor, time domain reflectometry. ResumoOs sensores de reflectometria permitem a avaliação temporal e contínua da dinâmica da água no solo. O objetivo deste trabalho foi avaliar a leitura (período) do sensor (CS616) em função do teor de água e da temperatura do solo, para a predição da umidade do solo. O estudo foi realizado na Universidade do Estado de Mato Grosso, no Câmpus Universitário de Tangará da Serra. Foram construídos seis tubos de PVC, nos quais foram acondicionados solo em seus interiores, sendo que em cada tubo foi instalado um sensor CS616 e um sensor de temperatura tipo "K". Posteriormente, condicionou-se o solo de cada tubo nas umidades volumétricas 0,00; 0,06; 0,11; 0,16; 0,22 e 0,27 m 3 m -3 , submetendo-os a um gradiente de temperatura de 1,0 até 40,0 °C. Os valores de temperatura e do período foram registrados e armazenados em um sistema de aquisição de dados. Observou-se que a temperatura influencia nas mensurações do período (µs), tendo maior influência à medida que se aumenta a umidade do solo. Uma vez constatada a referida influência, ajustou-se um modelo linear e outro quadrático que representassem o comportamento dos dados, comparando-os com as equações fornecidas pelo fabricante do sensor utilizado. Para as condições estudadas, a equação quadrática gerada neste trabalho gerou melhores resultados de predição da umidade volumétrica do solo em relação às demais.Palavras-chave adicionais: CS616, reflectometria no domínio do tempo, sensor.

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Section: Resultssupporting

confidence: 55%

“…However, along the time, researches showed the temperature influence in water soil content prediction by TDR methods. Depending on temperature range, the predicted values of soil water content may achieve variation up to 10.0% (Mittelbach et al, 2012;Jung et al, 2013;Lu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Laboratory temperature-compensating calibration procedure for soil water content determination by reflectometry

et al. 2018

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“…1b). Several studies [2][3] have explained that such diurnal pattern in dielectrically measured SWC is a combination of two components. Those are physical component due to evaporation process and apparent component due to temperature related inaccuracies.…”

mentioning

confidence: 99%

“…However, quantification of aforementioned diurnal components is critical for accurate estimation of temperature related inaccuracies. For instance the proposed temperature calibration by [2] for dielectric sensors is removing both apparent and physical components. Therefore, proper quantification of physical diurnal effects will lead to an accurate estimation of temperature related inaccuracies of dielectric sensors.…”

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Evaluation of Evaporation Related Diurnal Change from Dielectrically Measured Soil Moisture

Kapilaratne¹,

Lu²

2017

JWRHE

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Abstract-Separation of physical and apparent diurnal fluctuation from dielectrically measured soil water content (SWC) is critical for accurate estimation of temperature related inaccuracies. Evaporation process at soil surface was simulated under synthetic and semi synthetic conditions in HYDRUS-1D environment. At synthetic conditions daily evaporation rate was assumed as 12 mm while evaporation rates at semi synthetic conditions were estimated using meteorological data. This study used 12 soil moisture monitoring stations which represent various climatic and soil conditions to characterize high and low evaporation levels. Simulated SWC at semi synthetic conditions were agreed well with the observed SWC with hourly NASH value ranging from 0.45-0.6. As a consequence of less evaporation related diurnal fluctuations, amplitude of simulated SWC always lesser than that of the observed SWC after eliminating the rainy days and freezing period. For Mongolian sites 6-16% and 3-9% for Unites States' sites consists of evaporation related amplitude variations of dielectrically measured SWC. Synthetic experiment results indicated that when ground water table getting deeper than 1m evaporation related diurnal fluctuations are disappearing from the near surface soil moisture.

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Design, development, and assessment of a High-Throughput Screening (HTS) system for the macroscopic root water uptake modeling

Puig-Sirera

Bonzi

Cotrozzi

et al. 2023

Computers and Electronics in Agriculture

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A data-driven method to remove temperature effects in TDR-measured soil water content at a Mongolian site

Cited by 11 publications

References 18 publications

Laboratory temperature-compensating calibration procedure for soil water content determination by reflectometry

Laboratory temperature-compensating calibration procedure for soil water content determination by reflectometry

Evaluation of Evaporation Related Diurnal Change from Dielectrically Measured Soil Moisture

Design, development, and assessment of a High-Throughput Screening (HTS) system for the macroscopic root water uptake modeling

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