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The Estimation of Stem Taper Curve from the Radial Information at Three Locations on the Stem

机译:从茎上三个位置的径向信息估计茎锥度曲线

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This paper presents a method that the stem taper curve of standing tree can be estimated with a considerable precision without the taper table. The stem taper curve used is 3 degree polynomials that is stated an effective equation. The parameters of this e-quation are generally decided by the least squares method from diameter measured values at several or many locations on the stem, but can be decided by the simultaneous equations or the least squares method in mathematical stand point if the diameter measured values on the three optional locations can be obtained. Then about which locations on the actual stem to select as diameter measurement for finding out more approximated stem taper curve to the actual stem taper curve from three diameter measured values is studied in this paper. Data used here are the diameter measured values at each location on the stem in sample trees sampled from the stands of Pinus sylvestris var. mongolica. The estimation of best stem taper curve by the least squares method using the radial information at nine locations ( Method -I ), and of stem taper curve using only the radial information at three locations ( Method -II ) from these data were carried out. As a result, it is suggested that the combinations of radialinformation of six kinds are effective from the precision compared with that of Method- I . Moreover, it is suggested that three combinations among these radial information, i.e. ,(r_(1.3), r_(0.3), r_(0.7), (r_(1.3), r_(0.4), r_(0.7) and (r_(1.3), r_(0.4), r_(0.8)) are more effective than remaining three combinations.
机译:本文提出了一种方法,可以在没有锥度表的情况下以相当高的精度估算立木的茎锥度曲线。使用的杆锥度曲线是3次多项式,被表述为有效方程式。该方程式的参数通常由最小二乘法根据茎上几个或多个位置的直径测量值确定,但如果直径测量值由联立方程或最小二乘法确定,则可以从数学角度确定可以在三个可选位置上获得。然后研究了在实际杆上选择哪个位置作为直径测量值,以从三个直径测量值中找出与实际杆锥度曲线更近似的杆锥度曲线。这里使用的数据是从樟子松林分中取样的样品树中茎上每个位置的直径测量值。蒙古从这些数据中,使用最小二乘法在九个位置使用径向信息(方法-I)估计最佳杆锥度曲线,并仅在三个位置使用径向信息(方法-II)估计杆锥度曲线。结果表明,与方法一相比,从精度上讲,六种径向信息的组合是有效的。此外,建议在这些径向信息之间的三个组合,即(r_(1.3),r_(0.3),r_(0.7),(r_(1.3),r_(0.4),r_(0.7)和(r_( 1.3),r_(0.4),r_(0.8))比其余三个组合更有效。

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