Issue |
MATEC Web Conf.
Volume 193, 2018
International Scientific Conference Environmental Science for Construction Industry – ESCI 2018
|
|
---|---|---|
Article Number | 02036 | |
Number of page(s) | 9 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/matecconf/201819302036 | |
Published online | 20 August 2018 |
Five models of hysteretic water-retention capacity and their comparison for sandy soil
1
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
2
Leibniz-Centre for Agricultural Landscape Research, Eberswalder Straße 84, Müncheberg, 15374, Germany
3
Agrophysical Research Institute, Grazhdanskii pr., 14, St. Petersburg, 195220, Russia
4
Fed. State Budgetary Inst. N.-W. Ctr. of Interdisc. Researches of Problems of Food Maintenance, Podbelskogo shosse, 7, St. Petersburg-Pushkin, Russian Federation
5
V.I.Vernadsky Crimean Federal University, Vernadskogo pr., 4, Crimea, Simferopol, 295007, Russia
6
Federal State Budget Scientific Institution «Research Institute of Agriculture of Crimea», Kievskaya, 150, Crimea, Simferopol, 295453, Russia
*
Corresponding author: coolhabit@yandex.ru
A description of five mathematical models of the water-retention capacity of soil is given, taking into account the hysteresis phenomena. A computational experiment was carried out with these models using data on sandy soil. The experiment consisted of: (i) tuning of the models (parameter identification) by the method of dot-approximation of experimental data on the main drying and wetting branches of the hysteresis loop using an optimizing algorithm; (ii) the predictive calculation of the scanning branches of the hysteresis loop; (iii) a comparison of the errors in tuning results and the predictive calculation using the Williams-Kloot criteria. The commensurate and sufficiently low errors in the adjustment of the models have been achieved. The differences in the calculation of the scanning hysteresis branches are revealed. The practical significance of the mathematical models presented is to ensure the calculation of precision irrigation rates. The application of such rates in irrigation farming will help to prevent excess moisture from flowing beyond the root layer of the soil under the influence of gravity and, thus, to minimize the losses (unproductive consumption) of irrigation water, fertilizers, meliorants and plant protection products, and also reduce the risk of groundwater contamination with agrochemicals and eutrophication of water bodies.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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