Model to estimate the height of the gravity position in standing trees.
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- Taki Seishiro
- Forestry and Forest Products Research Institute
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- Nakazawa Masahiko
- Forestry and Forest Products Research Institute
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- Uemura Takumi
- Forestry and Forest Products Research Institute
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- Akamatsu Haruto
- Nagano Forest Owners' Association
Bibliographic Information
- Other Title
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- 立木の重心高さ推定のためのモデル式の構築
Abstract
<p>In safe and accurate felling work, it is required to determine the height of gravity position in the standing tree. In addition, even in special cutting which sawing is performed in a state with tree lifted, it is necessary to set the hanging position at higher than the height of gravity position to ensure safety, so it is important to grasp the height of gravity position in the standing tree. However, almost no knowledge is found about specific model formulas for estimating the height of gravity position in the standing tree with branches. In this study, we tried to construct a model equation to estimate the height of gravity position in the standing tree using parameters that indicate the individual shape of the tree. The height of gravity position in which the lifted tree by using a rough terrain crane becomes horizontal was measured, the average height ratio of the height of gravity position to the tree height was 37.8%. We performed multiple regression analysis with the parameters that indicate the individual shape of the tree, and obtained a model equation to estimate the height of gravity position from the parameters of tree height and branch height. According to this result, the position about 6% of the branch height added to about 34% of the tree height was the height of gravity position. In the future, it is necessary to verify with a larger number of samples such as regionality and differences in three species.</p>
Journal
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- Journal of The Japan Forest Engineering Society
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Journal of The Japan Forest Engineering Society 34 (4), n/a-, 2019-10-31
The Japan Forest Engineering Society
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Keywords
Details 詳細情報について
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- CRID
- 1390002184855531520
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- NII Article ID
- 130007771118
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- ISSN
- 21896658
- 13423134
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed