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Grzegorz Janik  - - - 
Top co-authors See all
Wojciech Skierucha

86 shared publications

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland

Jolanta Cieśla

55 shared publications

Institute of Agrophysics, Polish Academy of Sciences; Doswiadczalna 4 20-290 Lublin Poland

Andrzej Wilczek

30 shared publications

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland

Agnieszka Szypłowska

23 shared publications

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland

Marcin Kafarski

18 shared publications

Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland

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Publication Record
Distribution of Articles published per year 
(2012 - 2018)
Total number of journals
published in
 
5
 
Publications
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Applicability of LP/ms Type Sensors for Determination of Moisture Dynamics of Injection-Irrigated Soil Grzegorz Janik, Amadeusz Walczak, Tadeusz Reinhard Published: 01 June 2018
2018 12th International Conference on Electromagnetic Wave Interaction with Water and Moist Substances (ISEMA), doi: 10.1109/isema.2018.8442325
DOI See at publisher website
Article 0 Reads 0 Citations BONITATION ANALYSIS OF TURF ON CITY STADIUM IN WROCLAW IN THE SEASON OF EURO 2012 Karol Wolski, Jarosław Czarnecki, Justyna Ziarko, Marta Tala... Published: 01 January 2016
Journal of Ecological Engineering, doi: 10.12911/22998993/64561
DOI See at publisher website
Article 1 Read 3 Citations Applicability of Geostatistical Tools and Fractal Theory for the Estimation of the Effect of a River on Water Relations ... G. Janik, B. Olszewska, L. Pływaczyk, W. Łyczko, M. Albert, ... Published: 14 October 2015
River Research and Applications, doi: 10.1002/rra.2970
DOI See at publisher website
Article 2 Reads 1 Citation TDR Technique for Estimating the Intensity of Evapotranspiration of Turfgrasses Grzegorz Janik, Karol Wolski, Anna Daniel, Małgorzata Albert... Published: 10 September 2015
The Scientific World Journal, doi: 10.1155/2015/626545
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
The paper presents a method for precise estimation of evapotranspiration of selected turfgrass species. The evapotranspiration functions, whose domains are only two relatively easy to measure parameters, were developed separately for each of the grass species. Those parameters are the temperature and the volumetric moisture of soil at the depth of 2.5 cm. Evapotranspiration has the character of a modified logistic function with empirical parameters. It assumes the form ETR(θ 2.5 cm, T 2.5 cm) = A/(1 + B · e −C·(θ2.5 cm · T2.5 cm)), where: ETR(θ 2.5 cm, T 2.5 cm) is evapotranspiration [mm·h−1], θ 2.5 cm is volumetric moisture of soil at the depth of 2.5 cm [m3·m−3], T 2.5 cm is soil temperature at the depth of 2.5 cm [°C], and A, B, and C are empirical coefficients calculated individually for each of the grass species [mm·h1], and [—], [(m3·m−3·°C)−1]. The values of evapotranspiration calculated on the basis of the presented function can be used as input data for the design of systems for the automatic control of irrigation systems ensuring optimum moisture conditions in the active layer of lawn swards.
Article 0 Reads 1 Citation Detection of Atmospheric Water Deposits in Porous Media Using the TDR Technique Anna Nakonieczna, Marcin Kafarski, Andrzej Wilczek, Agnieszk... Published: 13 April 2015
Sensors, doi: 10.3390/s150408464
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Investigating the intensity of atmospheric water deposition and its diurnal distribution is essential from the ecological perspective, especially regarding dry geographic regions. It is also important in the context of monitoring the amount of moisture present within building materials in order to protect them from excessive humidity. The objective of this study was to test a constructed sensor and determine whether it could detect and track changes in the intensity of atmospheric water deposition. An operating principle of the device is based on the time-domain reflectometry technique. Two sensors of different plate volumes were manufactured. They were calibrated at several temperatures and tested during field measurements. The calibration turned out to be temperature independent. The outdoor measurements indicated that the upper limits of the measurement ranges of the sensors depended on the volumes of the plates and were equal to 1.2 and 2.8 mm H2O. The respective sensitivities were equal to 3.2 × 10−3 and 7.5 × 10−3 g·ps−1. The conducted experiments showed that the construction of the designed device and the time-domain reflectometry technique were appropriate for detecting and tracing the dynamics of atmospheric water deposition. The obtained outcomes were also collated with the readings taken in an actual soil sample. For this purpose, an open container sensor, which allows investigating atmospheric water deposition in soil, was manufactured. It turned out that the readings taken by the porous ceramic plate sensor reflected the outcomes of the measurements performed in a soil sample.
Article 0 Reads 13 Citations Determination of Soil Pore Water Salinity Using an FDR Sensor Working at Various Frequencies up to 500 MHz Andrzej Wilczek, Agnieszka Szypłowska, Wojciech Skierucha, J... Published: 18 June 2012
Sensors, doi: 10.3390/s120810890
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
This paper presents the application of a frequency-domain reflectometry (FDR) sensor designed for soil salinity assessment of sandy mineral soils in a wide range of soil moisture and bulk electrical conductivity, through the determination of soil complex dielectric permittivity spectra in the frequency range 10–500 MHz. The real part of dielectric permittivity was assessed from the 380–440 MHz, while the bulk electrical conductivity was calculated from the 165–325 MHz range. The FDR technique allows determination of bulk electrical conductivity from the imaginary part of the complex dielectric permittivity, without disregarding the dielectric losses. The soil salinity status was determined using the salinity index, defined as a partial derivative of the soil bulk electrical conductivity with respect to the real part of the soil complex dielectric permittivity. The salinity index method enables determining the soil water electrical conductivity value. For the five sandy mineral soils that have been tested, the relationship between bulk electrical conductivity and the real part of dielectric permittivity is essentially linear. As a result, the salinity index method applied for FDR measurements may be adapted to field use after examination of loam and clayey soils.
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