Application of acoustic Doppler current profiler combined with a scientific echo sounder for krill Euphausia pacifica density estimation

ABSTRACT:   An application of the acoustic Doppler current profiler (ADCP, 153.6 kHz) in combination with a scientific echo sounder (EK60, 38 and 200 kHz) was investigated to estimate the density of krill Euphausia pacifica . The acoustic backscattering strength from sound scattering layers was compared with biomass estimates from midwater trawls. Euphausia pacifica was targeted among mixed species populations in the sound scattering layer in the offshore Funka Bay area of Hokkaido, Japan. The frequency characteristics of acoustic backscattering by krill were calculated using a distorted wave Born approximation scattering model at three frequencies. Krill aggregations identified from the EK60 data were extracted as the mean volume backscattering strength difference between two frequencies. They were then used to identify similar aggregations in the ADCP data by matching observation times and depths for the two methods, which were applied simultaneously. Results from the comparison of the mean volume backscattering strength and the density calculated from the ADCP and EK60 showed that ADCP can be used to measure density and spatial–temporal distribution of krill aggregations. Current speed and direction at the study site were found to be 16.1 cm/s and 187.0°, respectively, and krill speed and direction (including the current component) were found to be 19.8 cm/s and 172.2°, respectively. Based on the ADCP data, the net speed and direction of the krill aggregations were found to be 5.9 cm/s and 128.0°, respectively.     

Evaluation of Five Most Commonly Grown Cotton Cultivars (Gossypium hirsutum L.) Under Mediterranean Conditions: Productivity and Fibre Quality

Studies were conducted in four regions of central Greece (Larisa, Karditsa, Livadia, Thiva), to evaluate the productivity and fibre properties (fibre strength and fibre length) of the five most commonly grown cotton cultivars in these regions. The experiments lasted for 6 years (1995–2000). All the characteristics tested were strongly influenced by the factors ‘year’, ‘cultivar’ and ‘region’. Significant cultivar × region, year × cultivar, region × year and cultivar × region × year interactions occurred for all the characteristics studied. The cultivar Alegria had the highest seed‐cotton and lint yield, while Aria had the lowest ones. Both cultivars gave the highest mean lint percentage but the lowest mean boll weight (MBW). Alegria had the lowest fibre strength, while Aria had the highest. The Acala‐type cultivars, Acala SJ2 and Zeta 2, had intermediate seed‐cotton and lint yield, while Vered 171 had high seed‐cotton and satisfactory lint yield. The three cultivars mentioned above had the highest MBW and very good fibre strength. Positive correlation was observed between fibre strength and length. In spite of the fact that mean fibre length was statistically the same in all cultivars, it was influenced by the factor ‘year’, as a result of different weather conditions. The year 1996 was the most unfavourable one for seed‐cotton yield and MBW, because it was characterized by lower than average air temperatures and rather dry conditions for all study sites. The factor ‘region’, a combination of different climatic conditions and cultural practices, influenced significantly all the parameters studied.     

二化螟群集性的调查研究

通过对二化螟群集性的调查分析,初步查明在不同类型田、水稻的不同生育期、二化螟幼虫的不同龄次,二化螟幼虫的群集性不同.这为科学制订二化螟防治指标提供了理论依据。     

用受评者的得分给评委们评分

由评委评分确定受评者的成绩，是一种普遍方式，但其中各个评委的作用识别问题却被忽视，因而无法确切地评价所选择的评委是否都很称职。本文提出根据受评者得分的总体结果，建立识别各评委作用的反馈控制，以提高选择评委的质量。因此构造了识别各评 委作用的二次规划数学模型，既适用于简单计算平均分作为受评者得分的评分模式，又适用于剔除高低分后再计算得分的评分模式，在普遍情形下得出唯一的求解结果。并且针对模型的特殊数据结构，给出了用最小二乘法求解的显式简便计算式，可以方便求解。进而使用这一方法，作了两个具体实例分析。     

安宁河流域黑麦草、白三叶的生长测定

在最冷的12月至2月对四川凉山州安宁河流域的黑麦草、白三叶进行生长测定,结果证实,在当地建高产人工草地可作当家品种,冬季无停止生长期,最低产量可在5000kg以上,放牧利用的停牧周期在一月以内为好,预计年刈割周期次数为6～8次。     

Feasibility analysis of NIR for detecting sweet corn seeds vigor

This paper explores the feasibility of particle-based detection and grading of seed vigor based on a self-built seed single-granulation device using near infrared spectroscopy (NIRS). Sweet corn with uniform kernel size was used for this study. The seed samples were divided into three types, they were normal seeds, artificially aged seeds and heat-damaged seeds. A 2-part spectral acquisition of each seed were performed, one for the collection of seeds that fall into the detection zone within the separation pipe, another was on the static platform, whose collection was performed on 5 faces of each seed. Partial least squares discriminant analysis (PLS-DA) was used to classify the original data of the seeds. In the 2 parts, the discriminant results of the unprocessed normal seeds and the artificial accelerated aging seeds, the untreated normal seeds and the heat-damaged seeds showed that classification accuracy was higher than 98%. The research indicates that the spectral data of different positions of seeds can reflect their activity information, and it is feasible to detect and classify seeds in real time in the detection area of the separation pipeline.     

宁夏玉米营养成分近红外分析模型建立与应用

研究采集宁夏区内各市县(固原、海原、同心、中卫、中宁、永宁、平罗)抽取玉米样品120批,用近红外分析仪扫描定标样品集获得玉米近红外光谱图,利用偏最小二乘法建立模型,并分别经过无预处理、均值中心化、标准正态变量转换、一阶导数、标准正态变量转换结合去趋势校正(SNV+D)预处理光谱,获得水分、粗蛋白、粗脂肪、粗纤维预测模型,分别是经过MC、SNV+D、SNV+D、SNV+D光谱预处理后效果最好。预测决定系数R² _p分别为0.951、0.976、0.728、0.897,相对分析误差RPD除粗脂肪为2.62外,其他均大于3的近红外预测模型,通过预测模型验证集验证后,并对模型预测值与实测值进行U检验,结果为差异不显著(P>0.05)。该近红外预测模型对玉米中水分、粗蛋白、粗纤维具有较佳预测效果,粗脂肪的预测精度有待进一步提高。     

基于分段波形的信号瞬时频率计算方法

针对局部均值分解（Local Mean Decomposition，LMD）中乘积函数（Product Function，PF）分量的瞬时频率计算问题，引入了一种新的信号瞬时频率计算方法.该方法基于分段波形，先将信号分成若干个全波段（full wave），然后以一组递增的反正弦函数定义每个全波段的瞬时相位，进而得到信号的瞬时频率.由该方法得到的瞬时频率理论上是正的、稳定的并且能够确保信号局部特征信息的完整.应用该方法计算了仿真信号和实际齿轮故障振动信号的瞬时频率，并与其他方法求得的瞬时频率进行了对比.结果表明，本文方法非常适合求取信号的瞬时频率.     

冷却塔混凝土粗糙度对平均风压系数的影响

采用CFD方法研究全尺寸双曲冷却塔表面混凝土粗糙度对风压系数的影响.在规范规定的粗糙度范围内，分别对表面混凝土光滑以及表面混凝土有不同粗糙度高度的冷却塔全尺寸模型进行了数值模拟.将不同工况下的风压系数计算值与以往文献的风洞试验和现场实测数据进行了比较.研究结果表明：冷却塔全尺寸CFD模拟虽然解决了雷诺数相似问题，但纯粹的光滑壁面冷却塔在CFD计算中得到的平均风压系数比实际值偏离较大；在冷却塔全尺寸CFD模拟中必须考虑实际冷却塔表面的粗糙度对其平均风压系数的影响.     

炭化条件对竹原纤维炭孔隙结构的影响分析

为研究炭化竹原纤维的特性,进一步提升竹原纤维的使用性能,拓宽竹原纤维的应用领域,采用可控电炉制备了不同炭化温度和不同保温时间条件下的炭化竹原纤维,利用全自动比表面积及孔隙度分析仪测试了炭化竹原纤维的比表面积、比孔容及平均孔径,探讨了炭化条件对其性能的影响。结果表明：随炭化温度的升高和保温时间的延长,炭化竹原纤维的比表面积、比孔容和孔径分布先增大后减小,在较优的工艺条件下,炭化竹原纤维的比表面积和比孔容最大值分别可达819.35m2/g和0.7358cm3/g,平均孔径最小可达2.0836nm。