Issue |
E3S Web Conf.
Volume 175, 2020
XIII International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness – INTERAGROMASH 2020”
|
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Article Number | 09016 | |
Number of page(s) | 8 | |
Section | Organic Farming and Soil Management | |
DOI | https://doi.org/10.1051/e3sconf/202017509016 | |
Published online | 29 June 2020 |
Modeling the hydrophysical soil properties and comparative analysis for three systems of functions
1
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya Str. 29, 195251, St.Petersburg, Russia
2
LLC «Bureau Hyperborea», Podvoisky ul., 40-2, 193312, St.Petersburg, Russia
3
Research Institute of Agriculture of Crimea, Kievskaya street, 150, 295543, Simferopol, Russia
4
Agrophysical Research Institute, Grazhdanskii pr., 14, 195220, St.Petersburg, Russia
5
St.Petersburg State University, University embankment, 7/9, 199034, St.Petersburg, Russia
* Corresponding author: coolhabit@yandex.ru
A functional description of the hydrophysical properties of the soil as a capillary-porous medium is presented. The described functions of water retention capacity and hydraulic conductivity of the soil have common parameters, which are interpreted within the framework of physical and statistical concepts. The practical significance of the proposed functions lies in the fact that the volume of labor-intensive field measurements necessary, for example, for modeling the dynamics of soil moisture, is significantly reduced. To identify the parameters of these functions, it is sufficient to use data only on the water retention capacity of the soil. The parameters identified in this way can be used to predict the ratio of the hydraulic conductivity of the soil to the moisture filtration coefficient. The presented system of the hydrophysical functions of the soil is compared with world analogues using literature data on soils of different texture.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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