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1.
竹材弦面纵向切削的研究 总被引:1,自引:0,他引:1
研究了竹材弦面纵向切削的3种切削方式(单劈刀切削、单刨刀切削及并列式双刨刀切削)及单刨刀切削时的切削阻力,结果表明:对竹材采用劈或刨的切削方式,均可进行弦面纵向切削并能获得质量较好的竹蔑。竹材的节间、节部、切削厚度、含水率及切削速度等因素对切削阻力均有不同程度的影响。节部切削阻力明显高于节间切削阻力;切削阻力随切削厚度的增大而增大,两者成线性关系;含水率增大时,节间切削阻力减小,而节部切削阻力变化不大;切削速度增大时,节间切削阻力基本上是下降的,而节部切削阻力是增大的。 相似文献
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Abstract. Usual residue-management options are to remove the residue, use it as mulch with or without undercutting or to incorporate it into the soil. While the role of surface mulch in evaporation has been widely studied, the information on the effect on evaporation of mulch with undercutting or residue incorporated into soil, particularly in relation to soil type and evaporativity (Eo) is lacking. We studied the effect of wheat straw used in various ways on the course of evaporation loss from soil columns with three soils at Ludhiana, India and one soil at Bushland, Texas, USA, under two Eo's Energy-limited evaporation rates under mulch (Eom) followed the soil-specific relation Eom/Eo= a e(bRes+cEo), where Res is residue rate t/ha and a, b and c are constants; Eo, is expressed in mm/d. In an effort to model the total evaporation (CE) during the energy-limited stage ‘U’ was obtained from appropriate CE versus time curves and (CE-U) was regressed over (t - ti)0.5 to obtain the slope ‘α’ (Ritchie 1972) for the soil-limited evaporation stage. The observed ‘U’ was independent of mulch rate and Eo but was strongly affected by soil type, Values of ‘α’ decreased with increase in mulch rate and decrease in Eo and coarseness of soil. The otherwise short lived benefit of evaporation reduction with mulch per se, which peaked after a few days was maintained when residue was mixed with soil at the stage when evaporation reduction reached a maximum; this benefit continued for several weeks. Cumulative evaporation values computed from ‘U’ and ‘α’ agreed closely with the observed values under straw mulch for loamy sand and clay loam soils and for ‘undercut’ and ‘residue mixed’ treatments on all soils regardless of Eo, and for all situations under small Eo. However, for sandy loam and silt loam soils under Eo of 10 mm/d, the modified square root of the time function of Jalota et al. (1988) gave a better fit. 相似文献
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苹果高酸品种绿宝的茎尖培养快繁技术研究 总被引:1,自引:0,他引:1
以高酸苹果品种绿宝(G reen-gem)为试材,用MS BA 1.2mg/L NAA 0.8mg/L做启动分化培养基,进行茎尖培养快繁技术研究。结果表明,最佳增殖培养基为MS BA 1.0mg/L IBA 0.5mg/L和MS BA 1.0mg/L IBA 0.3mg/L,增殖系数达5以上;最佳生根培养基为1/2MS IBA 0.2mg/L IAA 0.4mg/L,生根率达100%。生根苗经严格的驯化锻炼和过渡移栽后移栽于大田,成活率达98%以上。 相似文献
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西宁市鲜切花产业现状浅谈 总被引:1,自引:0,他引:1
通过对西宁市鲜切花产业发展的现状和存在的问题进行分析,提出了今后鲜切花发展的对策。 相似文献
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A GIS-based plant prediction model for wetland ecosystems 总被引:5,自引:0,他引:5
An existing non-spatial model for the prediction of response of wetland plant species on ecological factors has been transformed into a GIS-based prediction model which produces spatial output at the landscape scale. The input, spatial patterns of the ecological factors, were constructed with geostatistical spatial interpolation (kriging). With this GIS-based model the spatial patterns of presence and absence of 78 wetland plant species are predicted for an area with wetlands in the Netherlands of approximately 500 square kilometers. The GIS-based model has been validated, and the estimated uncertainty of the input has been propagated through the model. At the species level the output shows spatially coherent and non-random patterns. The validation is affected by the propagation of input errors through the model. The number of valid predictions declines approximately 10–20% when 95% confidence intervals are used in the validation. This study shows that it is feasible to use a geostatistical interpolation method to construct spatial patterns of ecological factors on a landscape scale and to use these patterns as input for a GIS-based prediction model. The added uncertainty on the input values however, affects the number of valid predictions of the model. 相似文献
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用基于遗传算法的BP神经网络识别牛肉肌肉与脂肪 总被引:3,自引:3,他引:0
利用遗传算法的全局搜索能力,改进标准BP算法随机选取初始权重的不足,并构建了3-12-1的三层遗传BP神经网络,进行了3次牛肉肌肉与脂肪像素的分类试验,研究用BP网络对牛肉肌肉与脂肪两类像素点进行识别的可行性。以像素点的RGB值作为BP网络输入向量,每次训练集样本数62,测试集样本数43。测试的最终结果为:训练集的样本识别率分别为100%、100%、98.3871%;对应测试集的样本识别率分别为97.6744%、97.6744%、100%。试验结果表明,尽管基于遗传算法的BP神经网络对训练样本集以及测试样本集的肌肉和脂肪的识别率均在97%以上,但由于牛肉图像像素值在颜色空间中比较分散,有利于聚类的规律性不明显,因而是否可用BP网络来完成肌肉与脂肪的识别,还需要在网络拓扑结构、训练样本集等方面进一步研究。 相似文献
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