A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey
In Turkey ground base skidding method is frequently used to extract log material. Physical damages occurring on the skidded log during ground based skidding cause quality and quantity loss of the log. This damage is formed by the ground structure, mass of transported logs, friction coefficient and s...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Zagreb, Faculty of Forestry
2009-01-01
|
Series: | Croatian Journal of Forest Engineering |
Online Access: | https://hrcak.srce.hr/file/62223 |
id |
doaj-6c68eb0e52cf4ca88044ead454fb3eff |
---|---|
record_format |
Article |
spelling |
doaj-6c68eb0e52cf4ca88044ead454fb3eff2020-11-25T01:27:32ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722009-01-01301596539650A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern TurkeyH. Hulusi Acar0Saliha Unver1Karadeniz Technical University, Faculty of Forestry, Department of Forest Engineering, Trabzon, TurkeyKaradeniz Technical University, Faculty of Forestry, Department of Forest Engineering, Trabzon, TurkeyIn Turkey ground base skidding method is frequently used to extract log material. Physical damages occurring on the skidded log during ground based skidding cause quality and quantity loss of the log. This damage is formed by the ground structure, mass of transported logs, friction coefficient and skidding distance. In this study to improve a »Damage Prediction Model« means to predict the quantity loss that can occur as a result of ground skidding on steep areas. Spruce forests in Maçka, Trabzon, Eastern Blacksea, was selected as the study area. The slope of study area ranged between 45% and 80%. In this context, a total of 318 logs were researched. These logs were skidded in 6 harvested areas where skidding is done both in summer and winter. It was determined during research that the types of damage causing quantity loss are breakage and wood wearing out. In the meantime, the quantity loss occurring as a result of breakage and wood wearing out was calculated as volume.Aprediction model was developed by taking into consideration friction vector affecting skidded log, friction surface area of the log and skidding distance parameters. The model was developed based on data related to logs skidded in summer and winter. Damage prediction model coefficients were obtained for two production seasons by solving models according to the least squares method. Statistical significance of coefficients was done and damage prediction models were obtained with significant coefficients for summer and winter production seasons. This enabled producers to predict the quantity loss before skidding and to take necessary precautions.https://hrcak.srce.hr/file/62223 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Hulusi Acar Saliha Unver |
spellingShingle |
H. Hulusi Acar Saliha Unver A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey Croatian Journal of Forest Engineering |
author_facet |
H. Hulusi Acar Saliha Unver |
author_sort |
H. Hulusi Acar |
title |
A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey |
title_short |
A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey |
title_full |
A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey |
title_fullStr |
A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey |
title_full_unstemmed |
A Damage Prediction Model for Quantity Loss of Skidded Spruce Logs during Ground Base Skidding in North Eastern Turkey |
title_sort |
damage prediction model for quantity loss of skidded spruce logs during ground base skidding in north eastern turkey |
publisher |
University of Zagreb, Faculty of Forestry |
series |
Croatian Journal of Forest Engineering |
issn |
1845-5719 1848-9672 |
publishDate |
2009-01-01 |
description |
In Turkey ground base skidding method is frequently used to extract log material. Physical damages occurring on the skidded log during ground based skidding cause quality and quantity loss of the log. This damage is formed by the ground structure, mass of transported logs, friction coefficient and skidding distance. In this study to improve a »Damage Prediction Model« means to predict the quantity loss that can occur as a result of ground skidding on steep areas. Spruce forests in Maçka, Trabzon, Eastern Blacksea, was selected as the study area. The slope of study area ranged between 45% and 80%. In this context, a total of 318 logs were researched. These logs were skidded in 6 harvested areas where skidding is done both in summer and winter. It was determined during research that the types of damage causing quantity loss are breakage and wood wearing out. In the meantime, the quantity loss occurring as a result of breakage and wood wearing out was calculated as volume.Aprediction model was developed by taking into consideration friction vector affecting skidded log, friction surface area of the log and skidding distance parameters. The model was developed based on data related to logs skidded in summer and winter. Damage prediction model coefficients were obtained for two production seasons by solving models according to the least squares method. Statistical significance of coefficients was done and damage prediction models were obtained with significant coefficients for summer and winter production seasons. This enabled producers to predict the quantity loss before skidding and to take necessary precautions. |
url |
https://hrcak.srce.hr/file/62223 |
work_keys_str_mv |
AT hhulusiacar adamagepredictionmodelforquantitylossofskiddedsprucelogsduringgroundbaseskiddinginnortheasternturkey AT salihaunver adamagepredictionmodelforquantitylossofskiddedsprucelogsduringgroundbaseskiddinginnortheasternturkey AT hhulusiacar damagepredictionmodelforquantitylossofskiddedsprucelogsduringgroundbaseskiddinginnortheasternturkey AT salihaunver damagepredictionmodelforquantitylossofskiddedsprucelogsduringgroundbaseskiddinginnortheasternturkey |
_version_ |
1725104859179384832 |