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Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study
BACKGROUND: To ensure the safety of trees, two NDT (nondestructive testing) techniques, electric resistance tomography and stress wave tomography, were employed to quantitatively detect and characterize the internal decay of standing trees. Comparisons between those two techniques were done to make...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407501/ https://www.ncbi.nlm.nih.gov/pubmed/30863670 http://dx.doi.org/10.7717/peerj.6444 |
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author | Yue, Xiaoquan Wang, Lihai Wacker, James P. Zhu, Zhiming |
author_facet | Yue, Xiaoquan Wang, Lihai Wacker, James P. Zhu, Zhiming |
author_sort | Yue, Xiaoquan |
collection | PubMed |
description | BACKGROUND: To ensure the safety of trees, two NDT (nondestructive testing) techniques, electric resistance tomography and stress wave tomography, were employed to quantitatively detect and characterize the internal decay of standing trees. Comparisons between those two techniques were done to make full use of the individual capability for decay detection. METHODS: Eighty trees (40 Manchurian ash and 40 Populus simonii) were detected, then wood increment cores were obtained from each cross disc trial. The D(t), which was defined as the value determined by the mass loss ratio of each wood core, was regarded as the true severity of decay. Using ordinary least-squares regression to analyze the relationship between D(t) and D(e) (D(e) was defined as the severity of decay determined by electric resistance tomography) and between D(t) and D(s) (D(s) was defined as the severity of decay determined by stress wave tomography). RESULTS: The results showed that both methods could estimate the severity of decay in trees. In terms of different stages of decay, when D(t) < 30%, D(e) had a strong positive correlation with D(t) (R(2) = 0.677, P < 0.01), while, when D(t) ≥ 30%, D(s) had a significant positive correlation relationship with D(t) (R(2) = 0.645, P < 0.01). CONCLUSION: Electric resistance tomography was better than stress wave tomography for testing in the early stages of decay, while stress wave tomography can be used effectively in the late stage of decay. It is suggested that each technique can be used in the practice of internal decay testing of standing trees based on decay stages and operating conditions. |
format | Online Article Text |
id | pubmed-6407501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64075012019-03-12 Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study Yue, Xiaoquan Wang, Lihai Wacker, James P. Zhu, Zhiming PeerJ Forestry BACKGROUND: To ensure the safety of trees, two NDT (nondestructive testing) techniques, electric resistance tomography and stress wave tomography, were employed to quantitatively detect and characterize the internal decay of standing trees. Comparisons between those two techniques were done to make full use of the individual capability for decay detection. METHODS: Eighty trees (40 Manchurian ash and 40 Populus simonii) were detected, then wood increment cores were obtained from each cross disc trial. The D(t), which was defined as the value determined by the mass loss ratio of each wood core, was regarded as the true severity of decay. Using ordinary least-squares regression to analyze the relationship between D(t) and D(e) (D(e) was defined as the severity of decay determined by electric resistance tomography) and between D(t) and D(s) (D(s) was defined as the severity of decay determined by stress wave tomography). RESULTS: The results showed that both methods could estimate the severity of decay in trees. In terms of different stages of decay, when D(t) < 30%, D(e) had a strong positive correlation with D(t) (R(2) = 0.677, P < 0.01), while, when D(t) ≥ 30%, D(s) had a significant positive correlation relationship with D(t) (R(2) = 0.645, P < 0.01). CONCLUSION: Electric resistance tomography was better than stress wave tomography for testing in the early stages of decay, while stress wave tomography can be used effectively in the late stage of decay. It is suggested that each technique can be used in the practice of internal decay testing of standing trees based on decay stages and operating conditions. PeerJ Inc. 2019-03-05 /pmc/articles/PMC6407501/ /pubmed/30863670 http://dx.doi.org/10.7717/peerj.6444 Text en ©2019 Yue et al. http://creativecommons.org/licenses/by/4.0/ 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Forestry Yue, Xiaoquan Wang, Lihai Wacker, James P. Zhu, Zhiming Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title | Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title_full | Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title_fullStr | Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title_full_unstemmed | Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title_short | Electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
title_sort | electric resistance tomography and stress wave tomography for decay detection in trees—a comparison study |
topic | Forestry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6407501/ https://www.ncbi.nlm.nih.gov/pubmed/30863670 http://dx.doi.org/10.7717/peerj.6444 |
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