机耕机集料速度和土壤水分对犁耕深度影响的研究

Galya Hristova, P. Veleva, M. Dallev
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引用次数: 0

摘要

研究了土壤湿度和机拖拉机集料作业速度对犁耕深度的影响。该研究基于在保加利亚中部Chirpan地区(42°09′07”N25°20′54E)进行的为期一年的实地试验。实验在两个尺寸为1000米长和45米宽的地块上进行。技术操作耕作是用一个五体回转犁进行的,聚合到一台200马力的拖拉机上,以两种速度- 4.5公里/小时和6公里/小时进行。在进行工艺操作前,用AM-128土壤湿度计对试验田不同地点的重要土壤水分进行了测量。用直线计测量了机械-拖拉机集料作业后的实际作业深度。应用方差分析发现,在两种总工作速度下,参数犁耕深度的平均值在p < 0.05的水平上具有统计学意义。相关分析表明,团聚体速度与耕深呈显著正相关(r = 0.923),土壤湿度与团聚体速度呈显著负相关(r = -0.943),土壤湿度与耕深呈显著负相关(r = -0.860)。采用多元回归分析了骨料的工作速度和土壤湿度的影响,以保持指定的耕作深度。比较两种回归模型(线性和非线性)。从所得决定系数来看,线性模型(R2 = 0.968)较好地描述了被测参数之间的关系,但非线性模型(R2 = 0.977)更为合适。结合非线性回归模型的图形描述,确定了机拖拉机集料的指定工作深度为含水量70 ~ 80%,集料速度为4.5 ~ 5 km/h。
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A Study related to the influence of the speed of a Machine-tractor aggregate and soil moisture on plowing depth
The influence of soil moisture and operational speed of a machine-tractor aggregate on plowing depth were investigated. The study is based on a one-year field try on the territory of Chirpan Region, in the central part of Bulgaria (42°09'07"N25°20'54E). Experiments were conducted on two parcels with sizes – 1000 m length and 45 m width. The technological operation Plowing was carried out with a five-corpus turning plow, aggregated to a tractor with 200 hp at two speeds – 4.5 km/h and 6 km/h. The momentous soil moisture was measured with a soil moist meter AM-128 SOIL in different points of the experimental field before conducting the technological operation. The actual working depth received after the operation with the machine-tractor aggregate was measured using a linear meter. Based on the applied ANOVA it was established that the average values of the parameter Plowing Depth at both aggregate working speeds were statistically significant at a level p < 0.05. The correlation analysis registered strong positive relation between the Aggregate Speed and Plowing Depth (r = 0.923), as well as a strong negative correlation between the Soil Moisture and Aggregate Speed (r = -0.943), and between Soil Moisture and Plowing Depth (r = -0.860). A multivariate regression analysis was applied related to the influence of aggregate s working speed and soil moisture to keep the assigned plowing depth. Two regression models were compared (Linear and Non-linear). According to the received coefficients of determination, the Linear model (R2 = 0.968) described well the relations between the examined parameters, but the Non-linear model was more appropriate (R2 = 0.977). Taking into account the graphics describing the Non-linear regression model it was established that the assigned working depth of the machine-tractor aggregate could be kept at the moisture of 70-80% and aggregate speed of 4.5-5 km/h.
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