A TDR-Based Soil Moisture Monitoring System with Simultaneous Measurement of Soil Temperature and Electrical Conductivity

Skierucha, Wojciech; Wilczek, Andrzej; Szypłowska, Agnieszka; Sławiński, Cezary; Lamorski, Krzysztof

doi:10.3390/s121013545

Cited by 110 publications

(65 citation statements)

References 51 publications

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“…Information about the spatial patterns of soil moisture content and salinity on the field scale are lacking in this region. Soil salinity and moisture are highly variable over time and space [19][20][21][22], especially in harsh environments. To understand the factors governing hydrological process, information is needed about the spatiotemporal evolution of soil moisture and salinity under saline drip irrigation.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution of Soil Moisture and Salinity in the Taklimakan Desert Highway Shelterbelt

Huang

Wang

Zhao

et al. 2015

Water

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution of Soil Moisture and Salinity in the Taklimakan Desert Highway Shelterbelt

Huang

Wang

Zhao

et al. 2015

Water

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“…Humidity conditions in the soils exert a decisive influence on their thermal and mechanical properties which shape the temperature in the soil profile and also the conditions and efficiency of the agrotechnical mechanical treatments applied. A knowledge of the hydrophysical properties is necessary for the interpretation and forecasting of practically all physical, chemical and biological processes which occur in the soil since the modelling of these processes requires representative data on the soil hydrophysical characteristics (Lamorski et al, 2001(Lamorski et al, , 2002Skierucha et al, 2012;S³awiñski, 2003;Walczak et al, 1999Walczak et al, , 2002dWitkowska-Walczak et al, 2004. -wilting point is at 1 500 kJ m -3 (pF 4.2) (all are shown in Table 7), -available water capacity (AWC) (amount of water available for plants) is water content bound in soil with a potential from 16 kJ m -3 (pF 2.2) to 1 500 kJ m -3 (pF 4.2) (Fig.…”

Section: Hydrophysical Propertiesmentioning

confidence: 99%

Database of Polish arable mineral soils: a review

Bieganowski¹,

Witkowska-Walczak²,

Gliński³

et al. 2013

International Agrophysics

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The database of Polish arable mineral soils is presented. The database includes a lot of information about the basic properties of soils and their dynamic characteristics. It was elaborated for about 1 000 representative profiles of soils in Poland The database concerns: particle size distribution, organic carbon content, acidity-pH, specific surface area, hydrophobicity - solidliquid contact angle, static and dynamic hydrophysical properties, oxidation-reduction properties and selected biological (microbiological) properties of soils. Knowledge about soil characteristics is indispensable for description, interpretation and prediction of the course of physical, chemical and biological processes, and modelling these processes requires representative data. The utility of simulation and prediction models describing phenomena which take place in the soil-plant-atmosphere system greatly depends on the precision of data concerning characteristics of soil. On the basis of this database, maps of chosen soil properties are constructed. The aim of maps is to provide specialists in agriculture, ecology, and environment protection with an opportunity to gain knowledge of soil properties and their spatial and seasonal variability.

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“…Among indirect methods, the TDR (Time domain reflectometry) sensors is quick, simple, and robust way to obtain values of water soil content, and it provides a non-destructive method for soil samples (Topp et al,1980;Skierucha et al, 2012). A disad-vantage of TDR is the relatively high cost, it is because the TDR needs a separate pulse and sampling unit.…”

Section: Introductionmentioning

confidence: 99%

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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A TDR-Based Soil Moisture Monitoring System with Simultaneous Measurement of Soil Temperature and Electrical Conductivity

Cited by 110 publications

References 51 publications

Spatiotemporal Distribution of Soil Moisture and Salinity in the Taklimakan Desert Highway Shelterbelt

Spatiotemporal Distribution of Soil Moisture and Salinity in the Taklimakan Desert Highway Shelterbelt

Database of Polish arable mineral soils: a review

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

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