遥感区域大小对森林蓄积估测影响规律的研究

该文将 1幅TM遥感图像分别分成 1 4及 1 2幅 ,通过实例分析了 1 4,1 2及整幅TM图像所能达到的几何精校正精度 .然后 ,以样地对应的遥感和GIS信息为影响森林蓄积估测的变量 ,采用最小二乘原理及岭迹分析 ,研究了上述 3种不同面积幅值图像对应林区影响森林蓄积估测的主要变量 .由 3种不同面积遥感区域蓄积估测方程中所含变量的个数、种类及预报精度 ,详细分析了遥感区域大小对蓄积估测的影响规律     

基于连续投影算法和光谱变换的冬小麦生物量高光谱遥感估算

为探索基于全波段冠层高光谱以及变换光谱的冬小麦地上部生物量的遥感估算方法,以2016、2017年冬小麦田间试验为基础,通过对冠层光谱和地上部生物量的相关性分析,筛选拔节期、抽穗期的冬小麦冠层光谱、一阶导数光谱、对数变换光谱和连续统去除光谱对地上部生物量的敏感波段,并结合偏最小二乘法(PLS)分别建立拔节期和抽穗期基于SPA算法的冬小麦地上部生物量估测模型,再与基于任意两波段组合的最佳归一化光谱指数、比值光谱指数、差值光谱指数和已报道光谱指数的冬小麦地上部生物量估测模型进行比较。结果表明：(1)SPA算法较好地利用了全波段冠层光谱信息,并显著降低了光谱维度,不同变换光谱的地上部生物量敏感波段个数在4~14之间;(2)拔节期和抽穗期冠层光谱与地上部生物量的相关性高于开花期和灌浆期,各生育时期一阶导数光谱与地上部生物量之间的相关性优于连续统去除光谱、对数变换光谱和光谱指数;(3) 利用抽穗期一阶导数光谱敏感波段建立的预测模型和验证模型达到了较高的精度,其预测模型的决定系数和均方根误差分别为0.78和0.87 t·hm^-2,验证模型的决定系数和均方根误差分别为 0.84和0.69 t·hm^-2,预测相对偏差为2.74。这说明,抽穗期是估算地上部生物量的最佳生育时期,且基于冠层一阶导数变换光谱,结合连续投影算法和偏最小二乘回归方法所构建抽穗期地上部生物量估算模型具有最优的精度和预测能力,可用于地上部生物量的定量估算。     

二维相关光谱结合偏最小二乘法测定牛奶中的掺杂尿素

为了检验牛奶中是否掺杂尿素并将其量化测定,配置含有尿素质量浓度范围为1～20g/L之间40个牛奶样品,以掺杂物尿素浓度为外扰,分别研究了掺杂尿素牛奶的二维相关(近红外-近红外,中红外-中红外,近红外-中红外)光谱特性,在此基础上,分别选择随浓度变化大的4200～4800cm-1和1400～1704cm-1为建模区间,采用偏最小二乘方法建立定量分析模型。研究结果表明:4200～4800cm-1建模分析效果优于1400～1704cm-1建模结果,其交叉验证均方根误差为0.266g/L,对未知样品集预测相关系数达到0.999,预测均方根误差为0.219g/L,这表明所建模型具有较好的预测效果。该方法无需样品处理,成本低,为快速判别牛奶是否掺杂提供了一种新的可能的方法。     

The Feasible Control for the Day-operation of the Three-Gorge Cascade Hydropower Station

The feasible control problem is presented for the day-operation of the Three-Gorge Caseade Hydropower Station. The significance of the problem is explained. Basic propetties ofthe problem and the approaches to study it are discussed. Two methfods are given for solving theproblem. which are calculus of variation and linear programming. In the former. the Euler equationwith time-lag and the generalised two-point boundary conditions are obtained and the correspondingpractical implication is interpreted. In the latter. the rationality for the discrete model is exptainedand the computalional details are given for the implement software. some questions which should bepaid much attentfon and the corresponding propeels are prasented based on the numerical results andtheoretical analysis     

基于GAM的长江口鱼类资源时空分布及影响因素

根据2006至2017年长江口及其邻近海域鱼类资源调查,运用广义加性模型研究长江口鱼类资源密度与环境因子之间的关系,并对2017年鱼类资源密度的时空分布进行预测。结果显示,春夏秋冬四个季节最佳GAM偏差解释率分别为69.6%、55.9%、51.4%和47.4%,交叉验证回归线斜率的平均效应为0.62～0.88。盐度、水温和溶解氧是影响长江口鱼类资源密度的主要环境影响因子且在不同季节对鱼类资源密度有不同的影响机制。总体上,在春、夏、秋季,盐度与鱼类资源密度之间存在正向相关性;在夏、秋、冬季,水温对鱼类资源密度有显著影响,在秋季与鱼类资源密度之间存在正向相关性;在春、秋、冬季,溶解氧对鱼类资源密度有显著影响,在冬季与鱼类资源密度之间存在正向线性相关。研究表明,2017年夏季鱼类资源密度较高;在长江口南支的自然延伸水域存在鱼类资源密度的相对低值,在崇明岛向海自然延伸方向水域存在鱼类资源密度的相对高值。后续研究将对长江口鱼类资源进行不同生态类型区分,以期更加准确地掌握影响各生态类型鱼类时空分布的环境因素及其时空分布信息。     

Evidence for long‐term spatial displacement of breeding and pupping harbour seals by shellfish aquaculture over three decades

• 1. Shellfish mariculture is increasing worldwide and often occurs adjacent to marine mammal breeding and feeding habitat. To better understand breeding pinniped vulnerability to potential shellfish mariculture disturbance and displacement effects in a US National Park, potential mechanisms were explored that may affect the proportion of harbour seals (Phoca vitulina) selecting high quality haul‐out sites near shellfish aquaculture within a large colony, and overall seal utilization of that colony in relation to other regional colonies.
• 2. Seal haul‐out sites isolated from the mainland (no predator access) had higher pup:adult ratios, indicating they are generally more important for pupping. Short‐term human disturbance did not have a significant effect on spatial use, but rather spatial use was pre‐determined by general sandbar isolation. Using multiple competing hypothesis and an information‐theoretic approach, it was found that within the estuary, after removing effects of El Niño, the proportion of seals (total seals and pups only) hauled out near mariculture sites was 8 ± 2% lower during years of higher oyster harvest. Annual oyster harvest was used as a measure of aquaculture activity that could result in direct disturbance or indirect displacement of harbour seals.
• 3. At the regional scale, oyster harvest, seal counts at a nearby colony, and loss of a major haul‐out site within the estuary, best explained pup and total seal use compared with the region. Regional population size, short‐term human disturbance rate, and other factors were not important. Concurrent with higher oyster harvest, the proportion of regional seals using the estuary declined by 7 ± 2% for seal pups (–65 ± 18 total pups), and 5 ± 2% for total counts ( ? 192 ± 58 total seals). These findings (both within the estuary and at the regional scale) were essentially identical whether modelling oyster harvest as either a continuous or categorical (low/high) variable and when using either frequentist or Bayesian statistical analyses.
• 4. Marine reserves set aside for wildlife may be less effective when the highest quality breeding and pupping sites are adjacent to regular aquaculture activities. These effects may not be detectable until additional natural variation lowers the quality of nearby habitats. Published in 2011. This article is a US Government work and is in the public domain in the USA.

     

多组分相关分析技术在近红外检测中的应用研究

采用信号分析理论中的相关分析技术,将三组分的涤纶-棉-毛样品与二组分的棉-毛样品进行相关分析,提取出三组分样品中的棉-毛信息,并对毛的含量进行定量分析,在31个样品中选22个样品建立了基于偏最小二乘(PLS)方法的NIR(Near Infrared,NIR)校正模型,对余下的9个样品进行了预测分析。结果表明,借助相关分析算法,毛含量的预测相对均方差和相关系数分别从3.5575、0.9855提高到2.7835、0.9876。试验证明,多组分相关分析技术可以在复杂混合样品中提取出待测组分的近红外光谱信息,为建立较高精度的校正模型创造了条件。     

Comparison of critical limits for crop plant growth based on different indicators for the state of soil compaction

Soil compaction affects physical soil condition, in particular aeration, soil strength, and water availability and has adverse effects on plant growth. Bulk density is the most frequently used indicator to describe the state of compaction of a soil. However, this parameter lacks a direct functional relationship with plant growth. Various indicators have been proposed to simultaneously characterize the state of compaction of agricultural soil and its suitability for plant growth. This paper examines and compares the critical limits for crop plant growth based on three of these indicators: packing density, least limiting water range, and S parameter (the latter is the slope of the soil water‐retention curve in the inflexion point). In a first step, we reviewed the literature for published optimum and limiting values of bulk density and found that these values were highly dependent on clay and silt content. Converting them into corresponding values of packing density (composite index of bulk density and clay content), a value of 1.70 was found to effectively distinguish between optimum and limiting soil conditions for plant growth. In a second step, the packing density of 59 soil horizons sampled in N Switzerland was compared with the least limiting water range and the S parameter of these soil horizons (both determined by means of pedotransfer functions taken from the literature). A linear relationship between the three parameters was found, which allowed for a comparison of the published critical limits for plant growth based on these parameters. The critical limits of the three indicators, which had been postulated independently of each other in the literature, were found to agree well with each other. This means that all of them could equally be used to describe the compaction state of a soil and its physical suitability for plant growth. However, the proposed critical limits of packing density, least limiting water range, and S parameter still need further validation by field studies relating plant growth to soil compaction.     

含关节间隙的Delta机器人弹性动力学与振动特性分析

针对经济实用型并联机器人关节间隙对动平台位置精度与系统振动特性影响的问题,以Delta机器人为研究对象,利用数理统计原理对含关节间隙的Delta机器人支链进行了运动学分析,结合Lankarani-Nikravesh碰撞接触力模型与具有动态修正系数的Coulomb摩擦模型对关节间隙广义碰撞力进行了研究。利用空间有限元理论与拉格朗日方程,充分考虑主、从动臂的空间动力特性与运动协调关系,建立了Delta机器人弹性动力学模型,在定义杆件虚长度的基础上,将关节间隙产生的广义碰撞力结合到弹性动力学模型中,建立了含关节间隙的Delta机器人弹性动力学模型。借助FARO激光跟踪仪对间隙弹性动力学模型进行了验证分析,利用脉冲锤击法与Workbench软件仿真对Delta机器人的振动特性进行了研究分析。试验结果表明,考虑关节间隙时动平台中心点的运动轨迹较不考虑关节间隙时更靠近试验运行结果,验证了间隙弹性动力学模型的合理性与正确性,并且,系统前两阶非零固有频率的理论值与试验值的相对误差分别为3.544%和12.026%,两者相当接近。另外,由仿真结果可以发现3组从动臂是Delta机器人整机系统中最薄弱的环节。该研究可为经济实用型并联机器人的位置误差补偿与系统减振优化提供参考。     

基于近红外漫反射光谱的云芝提取物多糖含量快速检测研究

为探索快速无损测定云芝提取物中多糖含量的方法,通过采集粉末状云芝提取物近红外光谱,经预处理和波段选择,结合间隔偏最小二乘法(iPLS)和反向区间偏最小二乘法(Bi-PLS),建立并优化云芝提取物多糖含量检测模型。结果表明,光谱区间为9 365.92~8 918.76 cm~(-1)和5 341.48~4 894.32cm~(-1),二阶导数(SD)预处理后,建立的反向区间偏最小二乘法模型更优,其校正决定系数(R_(cal))、校正均方根差(RMSECV)、验证决定系数(R_(val))和验证均方根差(RMSEP)可分别达到0.9089、0.00781、0.9879和0.00292。该模型可以更有效地优选建模所需波段,降低模型复杂度,降低多糖含量的检测成本,提高检测效率,实现云芝提取物多糖含量的快速、无损检测。