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Математическая модель и экспериментальное исследование естественной сушки деревьев сосны и березы в пачках на лесосеке

Математическая модель и экспериментальное исследование естественной сушки деревьев сосны и березы в пачках на лесосеке

Abstract

The purpose of this research is to receive mathematical model of natural drying of the whole trees in bunches in a cutting area based on experimental data. The field research of natural drying from March to October 2015 of the whole trees of pine and birch of different diameter laid definitely in bunches in a cutting area was conducted for this purpose. The mathematical model describing change of moisture content in wood in the course of natural drying in bunches in a cutting area was as a result developed. The received equation of regression defines dependence of average humidity of wood in a bunch from diameter of wood, quantity of a liquid atmospheric precipitation, relative humidity and temperature of air, average speed of the movement of the air blowing in bunch of trees, duration of natural drying. The developed mathematical model allows predicting change of moisture content of wood in the course of natural drying with a margin error less than 5%. Humidity of wood in the course of natural drying from March to October was on average reduced from 52% to 27%. Besides, in article the technology of logging of fuel wood on an energy forest is offered. The technology of stacking of trees in bunches at logging of the fuel wood which is grown up in forest plantations is offered. The results of the research can be used for increase of production efficiency of fuel wood.

Цель данного исследования в результате статистической обработки экспериментальных данных получить, математическую модель естественной сушки целых деревьев уложенных в пачки на лесосеке. Для этого с марта по октябрь 2015 года было проведено экспериментальное исследование естественной сушки целых деревьев сосны и берёзы разного диаметра, уложенных определенным образом в пачки на лесосеке. В результате была разработана математическая модель, описывающая изменение содержания влаги в деревьях, уложенных в пачки на лесосеке, в процессе их естественной сушки, с погрешностью менее 5%. Полученная математическая модель позволяет определять изменение средней влажности древесины в зависимости от следующих факторов: диаметра древесины, количества жидких атмосферных осадков, относительной влажности и температуры окружающего воздуха, средней скорости движения воздуха, обдувающего пачку деревьев, продолжительности естественной сушки. В ходе эксперимента влажность древесины в процессе естественной сушки с марта по октябрь в среднем снизилась с 52% до 27%. Кроме того, в статье предложен способ заготовки топливной древесины энергетических лесных плантаций. Предложен способ укладки деревьев в пачки при заготовке топливной древесины, выращенной на лесных плантациях. Результаты исследования могут быть использованы для повышения эффективности производства древесного топлива

Keywords

МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ ЕСТЕСТВЕННОЙ СУШКИ,ВЛАГОСОДЕРЖАНИЕ,СУШКА ТОПЛИВНОЙ ДРЕВЕСИНЫ,ЭНЕРГЕТИЧЕСКИЕ ЛЕСНЫЕ ПЛАНТАЦИИ,NATURAL DRYING,DRYING MODELING,MOISTURE CONTENT,FUEL WOOD DRYING,ENERGY FOREST

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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