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48 results on '"Sławiński, Cezary"'

4. An estimation of the main wetting branch of the soil water retention curve based on its main drying branch using the machine learning method

Author

Lamorski, Krzysztof, Šimůnek, Jiří, Sławiński, Cezary, and Lamorska, Joanna

Subjects
Physical Geography and Environmental Geoscience, Civil Engineering, Environmental Engineering
Abstract

In this paper, we estimated using the machine learning methodology the main wetting branch of the soil water retention curve based on the knowledge of the main drying branch and other, optional, basic soil characteristics (particle size distribution, bulk density, organic matter content, or soil specific surface). The support vector machine algorithm was used for the models' development. The data needed by this algorithm for model training and validation consisted of 104 different undisturbed soil core samples collected from the topsoil layer (A horizon) of different soil profiles in Poland. The main wetting and drying branches of SWRC, as well as other basic soil physical characteristics, were determined for all soil samples. Models relying on different sets of input parameters were developed and validated. The analysis showed that taking into account other input parameters (i.e., particle size distribution, bulk density, organic matter content, or soil specific surface) than information about the drying branch of the SWRC has essentially no impact on the models' estimations. Developed models are validated and compared with well-known models that can be used for the same purpose, such as the Mualem (1977) (M77) and Kool and Parker (1987) (KP87) models. The developed models estimate the main wetting SWRC branch with estimation errors (RMSE = 0.018 m3/m3) that are significantly lower than those for the M77 (RMSE = 0.025 m3/m3) or KP87 (RMSE = 0. 047 m3/m3) models.

Published
2017

6. A Comprehensive Approach to Assess the Impact of Agricultural Production Factors on Selected Ecosystem Services in Poland

Author

Bojar, Waldemar, primary, Żarski, Wojciech, additional, Kuśmierek-Tomaszewska, Renata, additional, Żarski, Jacek, additional, Baranowski, Piotr, additional, Krzyszczak, Jaromir, additional, Lamorski, Krzysztof, additional, Sławiński, Cezary, additional, Mattas, Konstadinos, additional, Staboulis, Christos, additional, Natos, Dimitrios, additional, Koç, Ahmet Ali, additional, Bayaner, Ahmet, additional, Ojeda Roldán, Álvaro, additional, and Parra Rivero, Obdulia, additional

Published
2023
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12. Impact assessment of the Agri-Environment-Climate Measure (M10) of RDP 2014-2020 on environmental and climatic policies implementation according to the perception of Polish farmers.

Author

Krzyszczak, Jaromir, Baranowski, Piotr, Lamorski, Krzysztof, Sławiński, Cezary, Siedliska, Anna, Bojar, Waldemar, Żarski, Wojciech, Żarski, Jacek, Kuśmierek-Tomaszewska, Renata, KOÇ, Ahmet Ali, Çağatay, Selim, Uysal, Peyman, Staboulis, Christos, Nastis, Stefanos A., Theofilou, Asterios, Mattas, Konstadinos, Leyva, Carlos, Báez-González, Pablo, Ojeda Roldán, Álvaro, and Parra, Obdulia

Subjects
ENVIRONMENTAL policy, SUSTAINABLE agriculture, RURAL development, FARMERS, OFFICES
Abstract

This paper presents the results of a survey conducted electronically in the years 2020-2022 within the framework of the AGRICORE Horizon project. It concerned the Agri-Environment-Climate Measure M10 within the Rural Development Programme 2014-2020 and aimed to quantify the impact of its effects on environmental and climatic policy implementation at a national level according to the perceptions of Polish farmers. The representativeness of the scrutinized population was checked using general data from the Polish Statistics Office. The results of our study show a positive perception of M10 by the participating farmers. The majority of them observed the income progress of their activities despite the increased workload connected with programme implementation and the increased costs associated with some of the declared activities. The innovation activities of the M10 participants were directed mainly at sustainable agriculture and protecting the environment. The respondents who did not decide to participate in M10 most frequently explained themselves by noting a lack of information about the programme, bureaucratic limitations, or doubts concerning the profitability of participation. The results of the study suggest that during the implementation of future EU agri-environmental measures, more attention should be paid to administrative and legal activities at the national level which may improve the perception of the programme. [ABSTRACT FROM AUTHOR]

Published
2023
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15. Euler characteristic during drying of porous media

Author

Shih, Yi-Hsuan, primary, Hsu, Shao-Yiu, additional, Huang, Qun-Zhan, additional, Lamorski, Krzysztof, additional, Hu, Ming-Che, additional, Tsao, Chia-Wen, additional, Sławiński, Cezary, additional, and Shokri, Nima, additional

Published
2021
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16. Femoral µCT Analysis, Mechanical Testing and Immunolocalization of Bone Proteins in β-Hydroxy β-Methylbutyrate (HMB) Supplemented Spiny Mouse in a Model of Pregnancy and Lactation-Associated Osteoporosis

Author

Tomaszewska, Ewa, primary, Muszyński, Siemowit, additional, Donaldson, Janine, additional, Dobrowolski, Piotr, additional, Chand, Deepesh K. P., additional, Tomczyk-Warunek, Agnieszka, additional, Hułas-Stasiak, Monika, additional, Puzio, Iwona, additional, Lamorski, Krzysztof, additional, Sławiński, Cezary, additional, Jabłoński, Mirosław, additional, and Blicharski, Tomasz, additional

Published
2021
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23. Euler characteristic during drying of porous media.

Author

Shih, Yi-Hsuan, Hsu, Shao-Yiu, Huang, Qun-Zhan, Lamorski, Krzysztof, Hu, Ming-Che, Tsao, Chia-Wen, Sławiński, Cezary, and Shokri, Nima

Subjects
POROUS materials, BETTI numbers, FLUID dynamics, EULER characteristic
Abstract

This study aims to elucidate the dynamics of fluid topology during drainage and evaporation of wetting and non-wetting fluids via evaluation of their Euler characteristic (EC) and Betti numbers from designed experiments. The results showed that the EC of the non-wetting fluid remained constant at a high wetting fluid saturation and then decreased nonlinearly. However, the EC of the wetting fluid exhibited more complex trends. In the 2-D micromodel, the number of loops decreased monotonously, reached zero, and remained constant for lower saturations, while the number of distinct components fluctuated because of the appearance and disappearance of disconnected clusters. In the 2-D model, the number of distinct components played a significant role; in the 3-D X-ray CT experiment, the number of loops of pendular rings dominated the EC. The findings suggest that the trends observed in the 2-D micromodel may not apply under 3-D conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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33. Physico-chemical and microbiological evidence of exposure effects on Picea abies – Coarse woody debris at different stages of decay

Author

Gómez-Brandón, María, primary, Ascher-Jenull, Judith, additional, Bardelli, Tommaso, additional, Fornasier, Flavio, additional, Fravolini, Giulia, additional, Arfaioli, Paola, additional, Ceccherini, Maria Teresa, additional, Pietramellara, Giacomo, additional, Lamorski, Krzysztof, additional, Sławiński, Cezary, additional, Bertoldi, Daniela, additional, Egli, Markus, additional, Cherubini, Paolo, additional, and Insam, Heribert, additional

Published
2017
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36. Using SVM for soil water retention modelling

Author

Lamorski, Krzysztof, Sławiński, Cezary, Moreno Lucas, Félix, Skierucha, Wojciech, and Arrúe Ugarte, José Luis

Abstract

1 copia .pdf (a-3) del póster original presentado (2 Figs., 2 Tabls.), This work presents point pedotransfer function models of the soil water retention curve. Developed models allow for estimation of the soil water content based on following soil characteristics: soil granulometric composition, total porosity and bulk density. Soil water content is evaluated for the specified soil water potentials: -0.98 kPa, -3.10 kPa, -9.81 kPa, - 31.02 kPa, -491.66 kPa and -1554.78 kPa. Support Vector Machines (SVM) methodology was used for model development. Alternative to previous attempts ν-SVM method was used for models development and results compared with C-SVM based models. In the work two different types of the SVM kernel function was used and results compared: radial basis kernel function with the linear one. Soil properties used as input variables for the PTF models are: sand fraction, clay fraction, total porosity and bulk density. Models approximate value of the soil water content for seven fixed values of the soil water potential.

Published
2011

37. Soft-computing techniques in soil hydrological parameters modelling

Author

Lamorski, Krzysztof, Sławiński, Cezary, Moreno Lucas, Félix, Skierucha, Wojciech, and Arrúe Ugarte, José Luis

Abstract

1 copia .pdf (15 Pags., with Figs. y Tabls.) de la presentación orginal de los autores en el Congreso Internacional., The idea of the soft-computing Soft-computing models: * based on the data learning, * does not provide analytical solution of the problem,solutions are by by de nition inexact and approximate, * allow for modelling of the properties or behaviour of the complex systems without deep insight, * gives speci c solution for currently modelled phenomenon. Classical models: * based on full physical-mathematical modelling, * described by some class of exact mathematical equations, * often expensive in the sense resources utilised for solving the problem (computing time), * universal for the given phenomenon described.

Published
2011

42. Saturated hydraulic conductivity of soil aggregates samples derived from loess

Author

Witkowska-Walczak, Barbara and Sławiński, Cezary

Subjects
TA Engineering (General). Civil engineering (General)
Abstract

The influence of the size soil aggregates derived from loess, expressed by mean weight diameter of aggregates which build soil samples, on the saturated hydraulic conductivity was presented. It has been found that size of aggregates influenced the amount of large pores in soil samples. The relationship between the saturated hydraulic conductivity and the amount of large pores can be described by function: Ks = 0.356. Exp (6.852 PL).

Published
2002

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