更新林相图的计算机辅助方法

常规编制与更新林相图的方法要求昂贵的光学机械纠正仪器、较高的操作技术和成本。文章提出一种利用计算机辅助纠正航空象片更新林相图的方法,可以降低成本,提高成图效率。为了实现这种方法,首先根据航空摄影理论分析,推导出适合编程的航空纠正数字化线性模型和算法。该模型要求在底图和航片上有四对控制点坐标,求算纠正参数。采用数字化仪测定这些坐标,求解参数,然后根据该线性模型对航片上编图要素的数字化坐标进行非共面变换,进而更新林相图。为完成这一过程需要四个程序模块和处理流程。使用这种方法更新林相图既能保证精度要求,又具有操作简单的优点。     

导致一例强沙尘暴的若干天气因素的观测和模拟研究

利用常规观测资料和数值模拟方法对影响2001年4月6-8日强沙尘暴天气发生的若干天气因素进行了研究。结果表明在本次“锋面气旋型”沙尘暴过程中,气旋冷锋是引发强沙尘暴的主要系统,冷锋过境对沙尘暴的触发作用远强于气旋发展。冷锋的动力学特点决定其常与强沙尘暴伴随。影响沙尘暴的诸多天气因素中,影响地面大风形成的有效动量下传机制为高空急流下沉支使高空动量下传至对流层中层,其下方形成的深厚混合层使这一动量继续下传到地面。“混合层”从本质上反映了有利沙尘暴形成的大气层结特征,深厚混合层的是否形成很大程度决定着沙尘暴的强度。本次过程深厚混合层的形成是长时间地面加热的结果,这也是特强沙尘暴仅发生在内蒙古中部偏北地区而不是下垫面条件更为适宜的内蒙古西部的原因。混合层空气的平流对内蒙古中部偏北地区深厚混合层的形成具有相当的贡献,其影响程度与地形分布密切相关。地面热通量试验表明地面加热对冷锋过境时上升运动的强度、深厚混合层形成、高空动量下传等具有重要影响,并因此影响沙尘暴强度。     

On farm observations to increase genetic gain in breeding schemes for village poultry production – A simulation study

To improve genetic gain of breeding programs for village poultry production, breeding schemes with observations obtained in village production systems using individual (VIO) and group recording (VGO) were examined under different levels of genotype-by-environment-interactions (GxE). GxE was modeled by varying the correlation between traits measured in the breeding station and village environments for bodyweight (r_{g_BW}) and egg production (r_{g_EP}). Relative and absolute genetic gains obtained from VIO and VGO were used for comparison between the schemes. Results showed that village observations significantly improved genetic gains compared to the scheme without birds tested in the village. The improvement was only slightly larger with individual observations than with group observations. Higher r_{g_BW} and r_{g_EP} led to lower relative genetic gain, but a higher absolute gain of VIO and VGO. It is recommended to apply a breeding scheme using group recording of village performance when strong GxE in breeding for village poultry is expected.     

Assessing exterior egg quality indicators using machine vision

ABSTRACT

1. The objective of this study was to develop a machine vision method for analysing exterior parameters of chicken eggs to automate the stage of primary sorting.

2. The developed algorithm based on predetermined thresholds calculated egg quality indicators, including geometric dimensions, shape index and the mottling grade. The algorithm was implemented with an experimental setup that combined the image-based and the candling methods. A total of 400 egg samples were analysed.

3. Comparison of results of the algorithm with those obtained using the traditional manual method showed that mean value of radii values difference was 0.095 ± 0.058 mm for the sharp and 0.080 ± 0.047 mm for the blunt end of the egg, with standard deviations of 0.58 mm and 0.49 mm, respectively.

4. The correlation coefficient between the shape index values determined by the two methods was 0.93; the standard deviation of absolute differences between corresponding values was 1.05%.

5. The results of mottling grade estimation were compared using F-measure and confusion matrix.

6. The results allow the possibility to perform the assessment of egg exterior quality factors in an automatic mode, independent of the expertise of a grader.     

基于多阶段预报分布的贝叶斯多变量均值向量监控模型

考虑了一类具有多个时间点重置执行价格的欧式熊市（或牛市）重置权证定价.应用鞅定价方法和多维正态分布函数，得到了该类权证价格的显示解和Δ对冲策略，推广了Gray和Whaley的单时点重置权证定价模型.     

Can soil moisture deficit be used to forecast when soils are at high risk of damage owing to grazing animals?

A potentially significant cause of damage to grassland soils is compaction of unsaturated soil and poaching of saturated or nearly saturated soil by animal hooves. Damage is caused when an applied stress is in excess of the bearing strength of the soil and results in a loss of soil structure, macroporosity and air or water conductivity. Severely damaged soils can cause reduced grassland productivity and make grazing management very difficult for the farmer. The actual amount of soil damage that can occur during grazing is dependent on the grass cover which acts as a protecting layer, the soil water content and the characteristics of the grazing animal (weight and hoof size). Assuming that the farmer is knowledgeable about the characteristics of the grazing animal and grass cover, it would be very useful for short‐term operational farm planning to be able to predict when soil water contents were likely to be in a critical range with respect to potential hoof damage. In this study soil moisture deficits (SMDs) which can be derived from meteorological forecasts are evaluated for predicting when soil water conditions are likely to lead to hoof damage. Two contrasting Irish grassland soils were analysed using a Hounsfield servo‐mechanical vertical testing machine to simulate static (285.4 N) and dynamic (571 N) hoof loads on the soil over a range of estimated SMDs (0, 5, 10 and 20 mm). The deficits were analysed with respect to the soil volumetric water content, compression (displacement) and change in dry bulk density. The SMDs imposed in the laboratory were similar to those under field conditions and thus the methods used in this study are applicable elsewhere. The change in dry bulk density following loading (0.2–0.7 g/cm³) was linearly related to SMD (R² ranged from 0.90 to 0.99), leading to the conclusion that a forecast of SMD can be used to predict when grassland soils are likely to be at risk of damage from grazing.     

聚脲喷枪混合室的设计和FLUENT仿真分析

为提高聚脲喷涂喷枪的混合效果，基于撞击流理论设计了一种新型聚脲喷涂喷枪的混合室。混合室采用两级撞击混合，分别采用两组T型和两组Y型对撞混合形式。利用SolidWorks设计混合室的结构模型后，利用FLUENT软件，采用冷、热水在混合室内撞击混合、对流传热的方法进行仿真模拟，并且计算了流体在混合室内的微观混合时间。结果表明:合理增加撞击流混合室的混合级数和采用多组T型、Y型对撞混合形式可增益混合效果；撞击流混合室的主要混合区是在撞击区；流体在喷枪内停留的总时间约为5.71 ms，满足具有反应迅速这一特性的材料的混合要求；微观混合时间小于1 ms，混合效果优异。      

基于MCMC模拟的MGPD模型及其在地质灾害风险度量中的应用

基于马尔科夫链蒙特卡洛(简记为MCMC)模拟的参数贝叶斯估计,对改进的广义帕累托分布(简记为MGPD)模型进行了优化,并利用该模型得到了地质灾害损失的在险损失值(简记为VaR)和条件损失值(简记为CVaR).以湖南娄底市地质灾害损失数据进行实证分析及模型适应性检验,结果表明:优化后的模型不仅具有很好的极值数据描述能力,而且具有较强的适用性.     

流固耦合方法对气携旋流分离的数值模拟

指出了气携式液液旋流器是港区小型化、船载化洗舱、压仓含油废水预处理的关键设备.采用流固耦合数值模拟方法再现压缩机进气、油水旋流与设备本体的整体气浮—旋流—分离耦合计算模型 ,对其核心部件微孔旋流套管的构型、孔径、内外压差及腔内流场分布进行了三维数值模拟 ,得到了微孔旋流腔内汽、水、油三相的流场分布 ,合理确定了注气腔气—水平衡分压、溢流比和微孔孔径 ,并模拟了压缩机、潜水泵正常工况下进气、进水、出水、油污溢流的流量、流速波动范围 ,为该设备的一体化构型设计和加工选材提供了参考数据.     

外来豚草属植物在不同环境约束下的入侵能力

通过温室控制试验,探讨生境变化对豚草生长的影响,以及与豚草入侵能力的关系;使用智能光照培养箱模拟不同海拔梯度的温度条件,探讨低温对豚草幼苗生长的影响;通过人工去叶的方式模拟天敌昆虫采食对豚草的生物控制效果。研究结果表明:豚草与丛枝菌根真菌共生增强了其适应不同土壤环境的能力。丛枝菌根真菌通过增加豚草的比叶面积,提高了豚草的资源获取能力,此作用在土壤有效氮含量低时更加明显,丛枝菌根真菌对豚草适应低氮生境有着重要意义。由于海拔升高导致环境温度降低,豚草幼苗的株高显著减少(P0.01),生物量在22.5~15.1℃差异显著(P0.01),15.1~9.4℃差异不显著,低温导致豚草幼苗生长缓慢,可能是限制豚草向北京周边高海拔地区扩散的重要环境因子之一。去叶处理对豚草的分枝数没有显著影响。去叶显著降低了豚草的生物量(P0.05),而在对照和碳素添加(1650 g·m-2)处理中对生物量没有显著影响。去叶后,剩余叶片的叶绿素测定值升高,豚草通过补偿生长增加了剩余叶片中的叶绿素含量以维持必需的光合作用。据此推测,由于豚草具有较强的再生能力,8月份之前如果天敌采食没有达到一定强度,则不会形成有效控制。