湘西桤木人工林蓄积量模型及适宜经营密度研究

密度是表达林分结构的重要指标,立地条件、树种及林龄不同时,其林分最佳密度也不相同。笔者以湘西桤木人工林为研究对象,采用数量化方法I和非线性回归分析方法,对2009年和2010年调查的78块标准地数据进行数据分析处理与建模。结果表明：（1）平均高、公顷株数、土层厚度、龄组、坡向、坡位、自然灾害、海拔、树种组成8种因子中,平均高、公顷株数、土层厚度和龄组对湘西桤木人工林平均木材积和单位面积蓄积量均有显著性影响,而海拔和树种组成对湘西桤木人工林平均木材积和单位面积蓄积量均无显著性影响。这对建立桤木人工林蓄积量与密度、平均高收集数据时提供理论指导,同时既能节省外业调查费用,又能保证建模数据的科学性。（2）建立了湘西8~10年桤木人工林蓄积量与密度、平均高相关关系模型： ,建模精度为96.8458%,平均相对误差为1.1334%。模型适应性检验表明,残差值呈对称均匀分布,其平均相对误差为-1.2156%。（3）该地区8~10年桤木人林的最佳经营密度为800~1000株/hm2。这对于合理地经营和管理湘西桤木人工林具有重要的理论和实际指导意义。     

The genetic relationship between popping expansion volume and two yield components in popcorn using unconditional and conditional QTL analysis

Popping expansion volume (PEV) is the most important quality trait in popcorn, while its germplasm is inferior to normal dent/flint corn in yield. In this study, 259 F_2:3 families, developed from the cross between a dent corn inbred Dan232 and a popcorn inbred N04, were evaluated for their PEV, grain weight per plant (GWP) and 100-grain weight (100 GW) in two environments. The genetic relationship between PEV and GWP, and 100 GW on individual gene loci were evaluated using unconditional and conditional QTL mapping methods. In total, five, one and three unconditional QTL were identified for PEV, GWP, and 100 GW, respectively. The positive alleles of all QTL for PEV were from N04, while positive alleles of all QTL for GWP and 100 GW were from Dan232. In conditional mapping, one and two QTL failed to be detected, and all four additional QTL were detected. Nevertheless, three QTL were identified, which controlled PEV independently from GWP/100 GW. They seemed to be potential candidates in popcorn breeding to increase PEV without decreasing GWP/100 GW. The results suggested that for significantly correlated traits, the conditional QTL mapping method could be used to dissect the genetic interrelationship between traits at the level of individual QTL, as well as reveal additional QTL that were undetectable by unconditional mapping.     

基于地相位优化估计的RVoG三阶段森林冠层高度反演

极化干涉合成孔径雷达（PolInSAR）估测森林结构参数中,数据受基线长度、信噪比、环境地形以及雷达波长的影响,尤其在复杂森林环境条件下,会导致观测到的复相干存在误差,从而影响最终的反演结果。为解决此问题,首先探讨了体相干选择对RVoG三阶段森林冠层高度反演的影响,以地相位为参考逐像素选择距离地相位最远的相干性作为体相干。其次改进了地相位估计方法,采用戴明回归（DMR）和正交回归（OGR）2种相干直线拟合方法来改进地相位的估计,并在DMR拟合方法中设置了不同的误差比（0.3和0.6）来比较地相位估计方法对RVoG三阶段森林冠层高度反演的影响。研究结果表明：以地相位为参考逐像素选择体相干的反演结果相较于直接使用HV极化通道的复相干γ_HV为体相干的反演精度有明显提升,决定系数（R²）由0.349增加到0.383,均方误差由7.097 m²降低到5.755 m²。在体相干优化选择的基础上,采用了戴明回归和正交回归对地相位估计方法进行了改进。表明基于最小二乘回归（LSR）地相位估计的RVoG三阶段反演精度最...     

脉冲式烟雾水雾机热力雾化水剂农药效果分析

针对脉冲式烟雾水雾机在喷施水雾剂农药时常出现滴液、流液或较大雾滴群等雾化不良现象,通过改装6HYW-60S型脉冲式烟雾水雾机,将药液流量设置成可调的测试装置,设定5个油门开度及4个药液流量,测试了脉冲发动机喷药前后的气流速度、温度及各喷药工况下的雾滴粒径分布。结果表明,在最小的油门启动开度到最大的油门工作开度可调范围内,对应的脉冲发动机燃油消耗率变化范围较小（相对变化13.0%）,喷管内对应的气流温度与速度也发生同等程度的变化。喷药时,喷管口处的气流温度与速度发生明显变化,由不喷药时约700℃的高温气流下降为75℃左右的雾滴流,相应的气流速度下降了16%左右;油门开度及药液流量对雾滴流温度的影响非常小,但对雾滴流速度的影响非常明显,油门开度增大,雾滴流速度明显增加,药液流量增大,雾滴流速度明显下降。在各油门开度下,对最小药液流量20L/h的雾化效果均不佳,尤其距喷雾出口较近处存在大量的300μm以上的较大雾滴,这些大雾滴极易跌落至地面,无法有效喷施到目标物上;药液流量增大至40L/h及以上时,各油门开度下的雾滴体积中径均较小,同一工况下各位置点的平均值不超过60μm。热力雾化的雾滴粒径分布曲线不是单一峰值的正态分布形态,常会出现不同中心雾滴粒径的雾滴群,且这些雾滴群的中心雾滴粒径基本保持一致。从喷雾出口喷出的雾滴流中,喷管中心轴线上的雾滴细小均匀、雾化充分,中心轴线上方的雾滴一般比中心点处稍大,中心轴线下方雾滴明显增大,且距中心轴线越远的下方,雾滴增大越明显,即雾滴流中较大雾滴群的量逐渐增加。以药液流量60L/h及油门开度90°为最佳雾化工况,在整个喷施区域内均形成了良好的雾化效果。     

喷水推进器全流道空化流动数值模拟

为了研究对旋轴流式喷水推进器内部空化特性,基于ANSYS-CFX软件,利用SST k-ω湍流模型和Zwart空化模型,对不同转速以及设计航速条件下喷水推进器进行全流域空化数值计算,得到了喷水推进器两级叶轮叶片以及叶轮流道内空泡体积分数分布情况.结果表明:在喷水推进器首级叶轮吸力面轮缘处最先发生空化,随着转速的增加,空泡不断地向叶轮轮毂处蔓延,并且体积分数逐渐增加;由于非均匀进流的影响,次级叶轮吸力面进口至出口中部低压区开始出现空泡;且受流动传递性的影响,次级叶轮处在靠近水平面下半叶轮通道内的叶片空化更为严重;在不同的NPSHr下,由于首级叶轮的预压,次级叶轮压力面一直没有空泡附着,表明对旋轴流式喷水推进器具有良好的抗空化性能.     

Differences in swimbladder volume between Baltic and Norwegian spring-spawning herring: Consequences for mean target strength

Fish swimbladders, where present, contribute most to the scattering of sound by fish, as measured by the target strength (TS). The volumes of the swimbladders of two different European stocks of Atlantic herring were compared to consider the effect on estimates of TS. Swimbladder volumes of Baltic and Norwegian spring-spawning herring (Clupea harengus) were measured, together with individual herring fat content. Swimbladder volumes were found to differ significantly between the two herring stocks. Baltic herring have a larger swimbladder volume, which is suggested to be associated with the fish's low fat content, which in turn may be linked to its specific energy budget and the low salinity of the Baltic Sea. A buoyancy model that considered the different salinity conditions and fat proportions was used to evaluate the observed differences in swimbladder volume. The swimbladder volume data were subsequently used to model the mean target strength as a function of depth and growth pattern. Backscattering of the swimbladder was modelled using the modal-series-based deformed-cylinder model (MSB-DCM), describing the swimbladder as a gas-filled, elongated prolate spheroid. The fish body component was modelled as a fluid-filled ellipsoid using the distorted wave Born approximation (DWBA). Modelling results support a different TS-to-size relationship for Baltic herring, with a stronger echo, due to the larger swimbladder. Depth- and length-dependent TS relationships based on the model results are suggested.     

Verification of mean volume backscattering strength obtained from acoustic Doppler current profiler by using sound scattering layer

ABSTRACT:   Acoustic Doppler current profilers (ADCPs) have recently been used to estimate the dynamic characteristics and biomass of sound scattering layers (SSLs) or swimming speed of fish schools and to analyze SSL spatial distribution or various behavior patterns. This paper shows that it is necessary to verify mean volume backscattering strength (MVBS, dB) values acquired from each beam for quantitative analysis of the spatial distribution or the biomass estimates of such specific targets as SSL or a fish school when using an ADCP. In this study, the SSL was selected to be a homogeneous density layer over a large area and two methods were used to verify the MVBS values from each beam of the ADCP. First, a mutual comparison among four beams was conducted after calculating MVBS from the measured echo intensity. Second, the MVBS values were verified using comparison between the calculated MVBS from the 153.6 kHz ADCP and MVBS from three frequencies of a well-calibrated scientific echosounder. Moreover, the dominant scatterers (euphausiids) were collected by a framed midwater trawl. From these samples, biological data were used to identify the different frequency characteristics between two systems, using a distorted-wave Born approximation (DWBA) theoretical backscattering model in order to assess the averaged target strength and target strength TS differences for the three frequencies.     

A new lean no time test baking method with improved discriminating power

In response to customer concerns related to gluten strength in commercial baking, the Canadian Grain Commission assessed whether the Canadian Short Process (CSP) test bake method was generating useful data related to intrinsic strength of wheat varieties. Assessment of CSP loaf volume data for Canadian variety trials spanning 2003 to 2013 showed very little correlation with dough strength parameters as measured by farinograph and extensigraph. A lean no time (LNT) test baking method was developed that can better discriminate genotypes and provide objective indicators of the effect of intrinsic dough strength on baking quality. From early method development, through method validation and verification using diverse sets of samples targeting different Canadian wheat classes and grown in three different crop years, results showed the LNT method to be more discriminating and easily adopted by other laboratories. In 2015, the LNT method was adopted as the method of choice in future Canadian variety registration trials. The LNT method is fast, simple and well-suited to high throughput test baking conditions encountered in the evaluation of large numbers of breeder lines. A new objective parameter, loaf top ratio, was also introduced and found to correlate well with dough strength and dough handling properties.     

不同自燃性煤氧化阶段的表征差异

对3种不同自燃倾向性煤样进行低温氧化实验,利用CO体积分数与煤体温度间变化的计算模型,求解出活化能和煤氧化过程发生转变的特征温度,同时结合热重-差示扫描量热（TG-DSC,theremogravimetric analysis-differential scanning calorimetry）实验结果,分析了不同自燃性煤氧化特性和活化能的低温表征规律。结果表明：1）低温氧化阶段,CO生成量、耗氧量和耗氧速率随着煤自燃倾向性增强而增大;不同煤样在实验过程中出现同样的CO生成量和耗氧速率急剧上升的温度拐点,且煤的自燃性越强,该拐点温度越低,同时CO体积分数的变化具有明显的阶段性。2）不同自燃性煤氧化阶段活化能变化规律存在显著差异,当各煤样的温度到达活性温度时,活化能快速减少,且活化能变化点对应于煤氧化过程发生转变的特征温度点。3）根据煤特征温度和活化能的变化规律,把煤低温氧化进程分为4个阶段,分别为表面氧化、氧化自热、加速氧化和深度氧化。