uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Predicting the green density as a means to achieve the volume of Norway spruce
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2013 (English)In: Scandinavian Journal of Forest Research, ISSN 0282-7581, Vol. 28, no 3, 257-265 p.Article in journal (Refereed) Published
Abstract [en]

All roundwood that arrives at pulp mills in Sweden is measured manually to obtain the volume. Shortened times between the harvest of the wood and its transportation to the mill have decreased the variation in the green density of wood and have increased the appeal of a method that combines the prediction of green density and weight scaling of the trucks with wood to obtain the volume. The aim of this article is to create a statistical model that can predict the green density of Norway spruce (Picea abies (L.) Karst.) pulpwood with the help of density data from earlier years for a certain mill and meteorological data from the wood supply area of the mill. To create the model to predict the green density, stepwise regression was used. The results showed that the model can explain the variation in green density by 89%, and can predict the density with a mean error of 00.019 ton/m3. The average standard deviation of the ratio between the measured observations and the predicted density was 7% on a yearly basis with variations over the year. From October to March, the model showed results that were at the same level to the result for the volume measurement performed in Sweden today.

Place, publisher, year, edition, pages
2013. Vol. 28, no 3, 257-265 p.
Keyword [en]
Density, Norway spruce, pulpwood, statistical modeling, weight scaling, wood measurement, Picea abies
National Category
Natural Sciences
URN: urn:nbn:se:uu:diva-197966DOI: 10.1080/02827581.2012.735697ISI: 000315683600006OAI: oai:DiVA.org:uu-197966DiVA: diva2:615080
Available from: 2013-04-08 Created: 2013-04-08 Last updated: 2013-04-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Agren, Anders
By organisation
Department of Statistics
In the same journal
Scandinavian Journal of Forest Research
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 330 hits
ReferencesLink to record
Permanent link

Direct link