Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood

Moisture is the most important factor influencing the quality and calorific value of fuel wood. Drying models for estimating the optimal storage time based on average moisture change in fuel wood stacks stored outdoors have been developed for different stem wood piles. Models are an easy option for...

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Main Authors: Marja Kolström, Johanna Ruotsalainen, Lauri Sikanen, Johanna Routa
Format: Article
Language:English
Published: University of Zagreb, Faculty of Forestry 2015-01-01
Series:Croatian Journal of Forest Engineering
Online Access:https://hrcak.srce.hr/file/223376
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spelling doaj-4e8dadf37ed84a24bc88d5026105f4572020-11-25T02:36:26ZengUniversity of Zagreb, Faculty of ForestryCroatian Journal of Forest Engineering1845-57191848-96722015-01-01362283291151826Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem WoodMarja Kolström0Johanna Ruotsalainen1Lauri Sikanen2Johanna Routa3University of Eastern Finland, School of Forest Sciences P.O. Box 111, FI-80101 Joensuu FINLANDFinnish Meteorological Institute, Aviation and Military Services Yliopistonranta 1 F, 70210 Kuopio FINLANDNatural Resources Institute Finland, Luke P.O. Box 68, FI-80101 Joensuu FINLANDNatural Resources Institute Finland, Luke P.O. Box 68, FI-80101 Joensuu FINLANDMoisture is the most important factor influencing the quality and calorific value of fuel wood. Drying models for estimating the optimal storage time based on average moisture change in fuel wood stacks stored outdoors have been developed for different stem wood piles. Models are an easy option for making an estimate of the moisture content of an energy wood pile if compared with sampling and measuring the moisture of samples. In this study, stem wood models were validated against data from forest companies. Fourteen reference piles of covered pine stem wood and 8 piles of uncovered pine stem wood were studied. The results of the validation are promising. The difference between the measured and modelled moisture was on average only 0.3% with covered piles and 2.5% with uncovered piles. The models presented can be implemented in every location in Finland, because the Finnish Meteorological Institute has a database for interpolated meteorological observations covering the whole country in a 10 km x 10 km grid. For international use, model parameters need to be estimated case by case, but it should also be possible to implement the approach itself worldwide.https://hrcak.srce.hr/file/223376
collection DOAJ
language English
format Article
sources DOAJ
author Marja Kolström
Johanna Ruotsalainen
Lauri Sikanen
Johanna Routa
spellingShingle Marja Kolström
Johanna Ruotsalainen
Lauri Sikanen
Johanna Routa
Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
Croatian Journal of Forest Engineering
author_facet Marja Kolström
Johanna Ruotsalainen
Lauri Sikanen
Johanna Routa
author_sort Marja Kolström
title Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
title_short Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
title_full Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
title_fullStr Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
title_full_unstemmed Validation of Prediction Models for Estimating the Moisture Content of Small Diameter Stem Wood
title_sort validation of prediction models for estimating the moisture content of small diameter stem wood
publisher University of Zagreb, Faculty of Forestry
series Croatian Journal of Forest Engineering
issn 1845-5719
1848-9672
publishDate 2015-01-01
description Moisture is the most important factor influencing the quality and calorific value of fuel wood. Drying models for estimating the optimal storage time based on average moisture change in fuel wood stacks stored outdoors have been developed for different stem wood piles. Models are an easy option for making an estimate of the moisture content of an energy wood pile if compared with sampling and measuring the moisture of samples. In this study, stem wood models were validated against data from forest companies. Fourteen reference piles of covered pine stem wood and 8 piles of uncovered pine stem wood were studied. The results of the validation are promising. The difference between the measured and modelled moisture was on average only 0.3% with covered piles and 2.5% with uncovered piles. The models presented can be implemented in every location in Finland, because the Finnish Meteorological Institute has a database for interpolated meteorological observations covering the whole country in a 10 km x 10 km grid. For international use, model parameters need to be estimated case by case, but it should also be possible to implement the approach itself worldwide.
url https://hrcak.srce.hr/file/223376
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