计算机软件在造价工程中的应用

随着IT技术应用范围的扩大,计算机应用到了工程概预算的编制中。工程造价专业应用软件可以为工程造价管理人员完成大量的工作,有效提高了工作效率。然而工程造价软件在实际应用中也存在一些问题。本文针对这些问题提出改进措施,并对工程造价软件今后的发展方向进行了展望。     

A fine-scale model for area-based predictions of tree-size-related attributes derived from LiDAR canopy heights

Abstract

We propose a conceptual (generic) allometric (power function) relationship between tree-size-related forest inventory attributes (e.g. biomass, volume, basal area, quadratic mean diameter, Lorey's height) and canopy height (CH) as estimated from first-return airborne light detection and ranging (LiDAR) pulses. A data-driven estimation of the parameters in the power function is complicated, so we recommend an alternative approximation obtained via a linearisation step. Only two predictors appear in the approximation: the mean CH and the variance of CHs within the spatial domain supported by field data. The proposed model eliminates an otherwise complex search for the best predictors amongst a large number of candidate LiDAR metrics. It also facilitates model comparisons and interpretation. Fit statistics estimated for volume, basal area, quadratic mean diameter and Lorey's height – using three separate datasets from Norway – were compelling.     

根据盗伐、滥伐林木现场树坑作相应林木材积估测

介绍了在盗伐、滥伐林木现场仅有树坑的情况下，利用相应小班森林资源规划设计调查资料或相近林分调查资料对被盗伐、滥伐林木作材积估测的方法，并举例说明。     

硬岩抗剪强度参数的最优化确定法

为了减小岩工程分析计算的工作量和节约研究经费,须利用有限的室内实验样本的测定值,通过对有限实验样本数据的回归分析整理,确定岩石抗剪强度参数c、φ,进而估计岩体的抗剪强度c、φ.由于试验方法、试验条件等有一定局限性,因而,岩石力学参数的试验结果具有一定的不确定性.其不确定性包含随机性和模糊性.而用传统的数理统计方法处理岩石样本值,显然是不合适的,只有通过寻求最优的数学回归分析方法,来处理相关试验结果.笔者通过对硬岩变角度剪切实验和常规三轴压缩实验的数据回归分析,得到利用最小二乘法的抛物线回归分析结果和随机-模糊回归分析结果比较符合.因而,为了优化计算结果而又避免繁琐的计算,通常可以采用最小二乘法的抛物线回归分析计算代替随机-模糊回归分析相关结果.     

岷江干旱河谷几种乔木抗旱性研究

岷江上游干旱河谷地区是我国西部生态环境最恶劣的地区之一,也是我国最困难的造林地区之一。本试验以生理研究为基础,选择干旱河谷区造林地内具有相对较高成活率和保存率的针叶树种岷江柏(Cupressus chen-giana)、辐射松(Pinus radiata)和阔叶树种臭椿(Ailanthus altissima)、榆树(Ulmus pumilaL.)、刺槐(Robinia pseu-doacacia),分别采用主成分分析法和综合评价法对影响其抗旱性的主要生理指标和试验树种的抗旱性进行了分析研究。结果表明:①影响该地区试验树种抗旱性的主要生理指标为:可溶性糖含量、SOD活性、游离脯氨酸含量、水分饱和亏缺度、叶片含水量和24h失水率;②5个试验树种的抗旱性表现为岷江柏最高,其次榆树>刺槐>臭椿,辐射松的抗旱性最差。     

分宜县天工广场铺装的导向性功能设计

指出了城市广场铺装设计中系统的完成导向性功能在城市广场设计中对于其文化性、参与性的表达具有重要意义,通过对江西省分宜县天工广场铺装设计的研究,分析了广场铺装的导向性功能,探讨了铺装导向性功能表达形式,为城市广场的铺装设计提供参考。     

林分生长模型建立方法

在林分生长模型建立中,通过分析变量间的显著影响选择变量．研究模型的评价与检验指标等方法,为建立优选模型提供参考．文中对最小二乘拟合模型中的异方差和多重共线性问题进行了分析,提出了加权最小二乘法、逐步回归剔除法等处理方法．     

Optimization potential for perception-oriented appearance classification by simulated sawing of computed tomography-scanned logs of Norway spruce

Abstract

Wood, as a natural material, has favourable properties in both technical and aesthetic aspects. Due to its inherent variability, production of high-quality sawn timber demands adequate control of log conversion, which is feasible with computed tomography (CT) log scanning. Existing appearance grading rules for sawn timber might not fully reflect people's visual perception of wood surfaces, and therefore, an alternative, more perception-oriented appearance classification could be beneficial. An appearance classification of sawn timber based on partial least squares discriminant analysis (PLS-DA) of knot-pattern variables was developed and tested. Knot-pattern variables derived from images of board faces were used in training PLS-DA models against an initial classification of the board faces previously established by aid of cluster analysis. Virtual board faces obtained from simulated breakdown of 57 CT-scanned Norway spruce logs were graded according to the developed classification. Visual assessment of the grading results indicated that the classification was largely consistent with human perception of board appearance. An initial estimation of the potential to optimize log rotation, based on CT data, for the established appearance grades was derived from the simulations. Considerable potential to increase the yield of a desired appearance grade, compared to conventional log positioning, was observed.     

Height–diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach

Height–diameter relationships based on stand characteristics (trees/ha, basal area, and dominant stand height) were investigated for balsam fir, balsam poplar, black spruce, jack pine, red pine, trembling aspen, white birch, and white spruce using data from permanent growth study plots in northern Ontario, Canada. Approximately half the data were used to estimate model parameters with the rest used for model evaluation. Multiple Chapman–Richards functions with parameters expressed in terms of various stand characteristics were fit to determine the best models for predicting height.     

变量筛选方法对郁闭度遥感估测模型的影响比较

比较基于偏最小二乘回归的Bootstrap方法与传统的平均残差平方和(RMSq)准则所选变量建立模型的精度差别.结果表明:Bootstrap方法是一种更优秀的变量筛选方法,比RMSq方法精度提高约5%;而且它不受变量多带来的运算困难的限制,更便于实际应用.