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Predicting forwarder rut formation on fine-grained mineral soils

机译:预测细粒矿物土壤的转发车辙形成

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摘要

Predictive factors for forwarder rut formation were studied on fine-grained mineral soils. The study was carried out in southern Finland in mid-May, when the soil water contents were high after snowmelt. A total of 7 study tracks of 20 m were cut with a harvester. After removing the logging residues, a loaded forwarder made 3-4 passes on each track. The forwarder rut depth was related to the total overdriven mass driven over the measurement line, volumetric water content, cone penetration resistance and the harvester rut depth. A total of five mixed-effects models are presented to predict the rut depth. The first model includes the overdriven cumulative mass, volumetric water content of the soil and the cone penetration resistance. As a penetrometer is more of a research tool, the second model includes only the overdriven cumulative mass and water content, factors that can be used in practical planning operations. The remaining three models all include the rut depth after the harvester pass and the overdriven cumulative mass and also include volumetric water content and cone penetration resistance. The model including the rut depth after a harvester pass and the overdriven cumulative mass is a good predictor of the rut depth and supports earlier findings on the connection between harvester and forwarder rut formations.
机译:研究了转发器车辙的预测因素,对细粒矿物土壤进行了研究。该研究在5月中旬在芬兰南部进行,当散热后土壤水分含量高。使用收割机切割了20米的7个研究轨道。去除测井残留物后,将加载的转发器在每个轨道上传递3-4。转发器RUT深度与通过测量线,体积含水量,锥形渗透率和收割机车辙深度驱动的总推动的肿块有关。总共提出了五种混合效果模型来预测车辙深度。第一模型包括过脱水的累积质量,土壤的体积含水量和锥形渗透性。作为渗透度数更像是一种研究工具,第二种模型仅包括过驱动的累积质量和含水量,可用于实际规划操作的因素。其余三种型号全部包括在收割机通过之后的车辙深度和过脱落的累积质量,并且还包括体积水含量和锥形渗透性。在收割机通过后包括车辙深度的模型和过驱动的累积质量是车辙深度的良好预测因子,并支持收割机和转发器车辙之间的连接的早期调查结果。

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