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Mathematical and experimental investigation of water migration in plant xylem

Hong, Jiaju; Liu, Sheng; Glover, Paul; Wu, Shenyi; Yan, Yuying

Authors

Jiaju Hong

Sheng Liu

PAUL GLOVER paul.glover@nottingham.ac.uk
Associate Professor

Shenyi Wu

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering



Abstract

Plant can take water from soil up to several metres high. However, the mechanism of how water rises against gravity is still controversially discussed despite a few mechanisms have been proposed. Also, there still lacks of a critical transportation model because of the diversity and complex xylem structure of plants. This paper mainly focuses on the water transport process within xylem and a mathematical model is presented. With a simplified micro channel from xylem structure and the calculation using the model of water migration in xylem, this paper identified the relationship between various forces and water migration velocity. The velocity of water migration within the plant stem is considered as detail as possible using all major forces involved, and a full mathematical model is proposed to calculate and predict the velocity of water migration in plants. Using details of a specific plant, the velocity of water migration in the plant can be calculated, and then compared to the experimental result from Magnetic Resonance Imaging (MRI). The two results match perfectly to each other, indicating the accuracy of the mathematical model, thus the mathematical model should have brighter future in further applications.

Citation

Hong, J., Liu, S., Glover, P., Wu, S., & Yan, Y. (2017). Mathematical and experimental investigation of water migration in plant xylem. Journal of Bionic Engineering, 14(4), 622-630. https://doi.org/10.1016/S1672-6529%2816%2960428-6

Journal Article Type Article
Acceptance Date Sep 5, 2017
Online Publication Date Oct 20, 2017
Publication Date Oct 31, 2017
Deposit Date Sep 14, 2017
Publicly Available Date Oct 21, 2018
Journal Journal of Bionic Engineering
Print ISSN 1672-6529
Electronic ISSN 2543-2141
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 14
Issue 4
Pages 622-630
DOI https://doi.org/10.1016/S1672-6529%2816%2960428-6
Keywords Plant water migration, mathematical model, MRI, bionic
Public URL https://nottingham-repository.worktribe.com/output/888766
Publisher URL https://www.sciencedirect.com/science/article/pii/S1672652916604286
Contract Date Sep 14, 2017

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