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Five models of hysteretic water-retention capacity and their comparison for sandy soil

Authors :
Terleev Vitaly
Mirschel Wilfried
Nikonorov Aleksandr
Ginevsky Roman
Lazarev Viktor
Topaj Alex
Moiseev Kirill
Layshev Kasim
Arkhipov Mikhail
Melnichuk Aleksandr
Dunaieva Ielizaveta
Popovych Valentina
Source :
MATEC Web of Conferences, Vol 193, p 02036 (2018)
Publication Year :
2018
Publisher :
EDP Sciences, 2018.

Abstract

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.

Details

Language :
English, French
ISSN :
2261236X and 20181930
Volume :
193
Database :
Directory of Open Access Journals
Journal :
MATEC Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.fe675275508c47c8ab8de4e81b260997
Document Type :
article
Full Text :
https://doi.org/10.1051/matecconf/201819302036