Acoustic evaluation of the vertical distribution of dwarf ayu Plecoglossus altivelis altivelis in Lake Biwa

SUMMARY: The vertical distribution of dwarf ayu Plecoglossus altivelis altivelis in the pelagic waters of Lake Biwa was evaluated from June to September in 1995–97 from eight acoustic surveys using a quantitative echosounder. In each survey, echoes from a depth range of 3 m to the sea bottom were collected at a station every 2.7 s for 24 h together with measurements of vertical profiles of water temperature and chlorophyll-a. The ayu's echoes were identified using an underwater video camera. The ayu were observed near the maximum chlorophyll-a depth and above the thermocline. Their density was highest at depths of 4–11 m with 2–4 individuals/m ³ and was almost zero below 20 m. Echo signs were recorded as having a frequent duration of more than 1 h at night, whereas were of a shorter duration in the day. The fish stay in the epilimnion during the day without any clear vertical migration, but are distributed more uniformly at night. The advantages of remaining in the epilimnion are discussed in terms of food availability and predator avoidance.     

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.     

动态载荷下基于声发射技术的杨木破坏过程检测

利用声发射检测和力学试验相结合的方法,研究山杨木材在动态载荷下的声发射演变过程;结合木材粘弹性特点,通过声发射参数分析研究在不同受力阶段木材的声发射特点.结果表明:1)声发射信号幅值不连续,是跃迁的;材料断裂前声发射信号的幅值和能量比断裂后小,在断裂点对应声发射信号幅值和能量的局部极大值.2)随时间和载荷的变化,声发射累计撞击数和累计能量增加快慢可以体现杨木在受力条件下的完全弹性、弹性为主的弹塑性共存、塑性为主的弹塑性共存3种状态.3)声发射率和幅值参数可以预测材料纤维开始断裂进入危险期的第一"临界点"和材料大量纤维断裂进入严重危险期的第二"临界点",如果继续加载材料将会破坏断裂.     

循环水养殖大口黑鲈摄食颗粒饲料的声学特征

为突破智能投饲系统的技术瓶颈,近年来采用被动声学技术开展鱼虾摄食行为研究成为热点之一。该研究主要采用被动声学技术获取单体大口黑鲈（Micropterus salmoides）摄食声信号,从混合信号中提取完善的摄食信号,筛选可作为衡量大口黑鲈摄食活跃度的声学特征参数,以期对摄食活跃度进行量化。根据大口黑鲈喂食期间的同步音频与视频记录,确定信号类别并进行标记,主要提取每次吞食饲料的时域与频域特征,对比各参数与吞食次序之间的相关度。研究结果表明,摄食声信号能量主要集中于4.2～7.4 kHz,且大口黑鲈吞食间隔与吞食次序呈正相关,稳定性较强;而时域特征中的波形振幅极差与频域特征的功率积分值均与吞食次序呈负相关。吞食间隔、振幅极差及功率积分值均可以作为衡量摄食活跃度的量化指标,而共振峰与平均梅尔倒谱系数可作为摄食声识别参数,研究结果可为今后养殖鱼类被动声学智能投饲系统研发提供理论基础。     

Association between porpoise presence and fish choruses: implications for feeding strategies and ecosystem-based conservation of the East Asian finless porpoise

The associations between feeding activities and environmental variables inform animal feeding tactics that maximize energetic gains by minimizing energy costs while maximizing feeding success. Relevant studies in aquatic animals, particularly marine mammals, are scarce due to difficulties in the observation of feeding behaviors in aquatic environments. This data scarcity concurrently hinders ecosystem-based fishery management in the context of small toothed-cetacean conservation. In the present study, a passive acoustic monitoring station was deployed in an East Asian finless porpoise habitat in Laizhou Bay to investigate potential relationships between East Asian finless porpoises and their prey. The data revealed that porpoises were acoustically present nearly every day during the survey period. Porpoise detection rates differed between spring and autumn in concert with activities of fish choruses. During spring, fish choruses were present throughout the afternoon, and this was the time when porpoise vocalizations were the most frequently detected. During autumn, when fish choruses were absent, porpoise detection rates decreased, and diurnal patterns were not detected. The close association between fish choruses and finless porpoise activities implies an “eavesdropping” feeding strategy to maximize energetic gains, similar to other toothed cetaceans that are known to engage similar feeding strategies. Underwater noise pollution, particularly those masking fish choruses, could interrupt finless porpoises’ feeding success. Fisheries competing soniferous fishes with finless porpoise could impact finless porpoise viability through ecosystem disruption, in addition to fishing gear entanglement.     

基于改进VMD的离心泵空化声发射信号特征提取

针对变分模态分解算法中分解层数和惩罚因子不易确定的问题,提出一种改进变分模态分解(improved variational mode decomposition,IVMD)算法,并将其应用于离心泵空化声发射信号特征提取.应用IVMD算法时,首先根据包络熵差异系数确定变分模态分解的分解层数;然后采用人工蜂群算法优化得出惩罚因子,并将其作为变分模态分解的最佳输入参数.利用IVMD算法对仿真信号进行分析,并与集合经验模态分解结果进行比较.以60%额定流量下采集到的离心泵进口处的声发射信号为例进行IVMD计算,分析携带原信号大量信息的信号分量的频域特征及其绝对能量随离心泵空化状态变化的关系.结果表明:IVMD算法能够择优确定分解层数和惩罚因子,实现非平稳信号的自适应分解.反映离心泵空化状态的声发射信号特征频率集中在50,100 kHz及其附近.随着离心泵空化从无到有、从弱到强的变化,这2个特征频率范围信号分量绝对能量值呈“基本保持不变-减小-增大”的变化规律.     

垂直轴风力机翼型涡流噪声的数值分析

为了了解垂直轴风力机翼型涡流噪声特性,以LUT翼型为研究对象,首先利用Fluent进行流场分析,流场计算选用DES湍流模型,再结合Lighthill声类比方法计算翼型周围声场,将数值模拟计算得到的气动特性相关数据与该翼型的风洞试验结果作对比分析,同时分析了不同攻角对该翼型气动噪声特性的影响,最后研究了在攻角为8°时不同雷诺数对该翼型的声压级指向性特征影响.结果表明:数值计算所得气动数据与风动试验数据拟合良好,建立的仿真模型、网格质量和边界条件合理有效;随攻角增加,翼型涡脱落从尾缘向前缘推进,同时涡流脱落强度增大,气动噪声增强;随着雷诺数的增加,翼型四周声压级先增加后减小;雷诺数与声压级关联较大,控制叶片雷诺数有助于降低叶片噪声,为该翼型适用于低噪声垂直轴叶片提供理论基础.     

基于水声技术的黄海近海鱼类活动定点监测研究

为了研究黄海近海鱼类活动规律,采用自主研制的科研型鱼探仪于2015年11月22日至12月5日对调查海域的鱼类活动进行了首次声学调查,统计分析鱼类活动规律。在调查海域布放4套鱼探仪设备对鱼类进行定点长时间监测,并将采集到的鱼类回波数据利用水声技术进行分析和处理,得到调查海域单体鱼类目标强度在垂直方向上的分布、鱼类目标强度大小的分布以及鱼类在不同水层和不同时间段的活动情况。结果显示,调查海域冬季鱼类主要活动在4~10 m的中上水层,鱼类分布随着水层深度的逐步增加而急剧减少;从9∶00至13∶00鱼类活动频度呈增大趋势,并在13∶00至14∶00频度达到顶峰(约为38%),随后频度减弱;统计得到该海域鱼类目标强度主要以-49~-40 d B占比最高,目标强度大于-40 d B的鱼类均匀分布在整个水层,目标强度小于-40 d B的鱼类主要分布在4~10 m浅水层。研究表明,采用水声技术能够实现对鱼类活动的监测;调查海域的鱼类目标强度分布比较集中,鱼类在深度上的分布主要集中于中上水层,鱼类在不同时间段的活动情况随水温变化而变化,温度升高鱼类活动频度增加,反之则降低。由此可知,该海域鱼类的种类以暖水物种为主。     

基于生态足迹的江苏省渔业资源可持续利用评价

渔业资源可持续利用是实现渔业可持续发展的基础,如何评价其可持续利用是重要的科学问题。本文基于生态足迹理论构建了渔业可持续指数的评价框架,并利用该评价指数对江苏省1949～2007年的渔业资源利用状况进行了定量评价。结果显示:1949～1978年的近30年间,江苏省渔业资源基本处于可持续利用状态,但改革开放以后,尤其是1980、1990年代总体处在较强的不可持续利用状态,过度捕捞是导致渔业资源不可持续利用的重要原因;2000年以后不可持续性程度有所减缓,说明伏季休渔、增殖放流等生态保护措施已初见成效。最后就如何提高渔业资源可持续性水平,降低经济社会发展对渔业资源的负面影响提出了一些建议。     

渔业资源管理目标定量确定的探讨

本文主要探讨渔业资源管理目标定量确定(包括渔业种类及其可捕规格和产量的确定)过程中常用的数学方法，并指出各种方法的应用范围。