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151.
CAI Xingwei YE Shaowen LI Wei FAN Hourui LI Zhongjie ZHANG Tanglin LIU Jiashou 《海洋湖沼学报(英文)》2019,(1):278-289
The knowledge of prey small ?sh stock, distribution and abundance is necessary to guide stocking of piscivorous ?sh for the biomanipulation in domestic tap water lakes. This study describes the current status of small ?sh community in Kuilei Lake(China), and examines the spatial and seasonal variations of the community in relation to key environmental factors. Based on submerged macrophyte cover and water depth, the lake was divided into ?ve major habitats:(1) macrophyte covered shallow habitat of water depth< 2.00 m,(2) uncovered or less-covered shallow habitat(2.00 m–3.50 m),(3) uncovered medium shallow habitat(3.50 m–5.00 m),(4) uncovered medium deep habitat(5.00 m–6.50 m) and(5) uncovered deep habitat(6.50 m–8.50 m). The abundance and composition of small ?sh were monitored by benthic fykenet sampling from April 2013 to January 2014. A total of 2881 individuals belonging to 5 families and 21 species were collected. Based on their abundance(accounted for 88.96% of the total) and occurrence(more than 33.33%), Acheilognathus chankaensis, Acheilognathus macropterus, Microphysogobio microstomus,Pseudorasbora parva and Rhinogobius giurinus were recognized as dominant small ?sh species. The results of correlation analysis identi?ed that species richness( Sr), Shannon-Wiener diversity index( H′)and Margalef′s richness index( D) were signi?cantly negatively correlated with water depth, but positively correlated with biomass of submerged macrophytes.Redundancy analysis(RDA) revealed that the spatial distributions of most small ?shes were negatively associated with water depth. The details of these ?ndings are bene?cial to understanding the adaptation of the small ?shes in degraded environments, and to developing suitable biomanipulation strategies for the management of ?sh resources and water quality in the lakes along the lower reach of the Changjiang(Yangtze) River basin. 相似文献
152.
A mass mortality often occurs from molting to the megalopa stage during the larval development of the swimming crab Portunus trituberculatus. Larvae with insuffcient nutrient accumulation during the zoeal stages are probably unable to develop into juvenile swimming crabs. However, the nutritional information such as the primary metabolites is scarce for P. trituberculatus larvae. The aim of this work is to obtain an insight into the metabolite traits of P. trituberculatus at early developmental stages. 1 H nuclear magnetic resonance spectroscopy coupled with multivariate data analysis was used to determine how the metabolite pro?les shift during larval development in P. trituberculatus. Our results show that the trend of total metabolites exhibited a rise from zoea 1 to zoea 3, followed by a drop from zoea 4 to megalopa and recovery during the ?rst juvenile stage. A large-scale depletion of total metabolites in the zoea 4 and megalopa stages suggests a deep depression of metabolic activity, which may be linked to the mass mortality from molting to the megalopa stage. These ?ndings provided essential metabolic information about the larval development of P. trituberculatus and important clues for understanding the nutritional requirements of P. trituberculatus in early developmental stages. 相似文献
153.
高分辨率光学遥感场景分类的深度度量学习方法 总被引:1,自引:1,他引:0
针对高分辨率光学遥感影像场景具有同类型内部差异大、不同类型间相似度高导致部分场景识别困难的问题,本文提出了一种深度度量学习方法。首先在深度学习模型的特征输出层上为每类预设聚类中心,其次基于欧氏距离方法设计均值中心度量损失项,最后联合交叉熵损失项以及权重与偏置正则项构成模型的损失函数。该方法的目标是在特征空间上使同类型特征聚集并扩大类型间的距离以提高分类准确率。试验结果表明,本文方法有效地提升了分类准确率。在RSSCN7、UC Merced和NWPU-RESISC45数据集上,与现有方法相比,分类准确率分别提高了1.46%、1.09%和2.51%。 相似文献
154.
作为地下空间信息测绘工作的一个重要部分,基于排水管道内部测绘信息的管道缺陷检测越来越受到人们的重视。CCTV技术是一种广泛使用的排水管道内部测绘与缺陷检测技术。近些年基于卷积神经网的人工智能技术在图像识别中取得了巨大成功,受此启发,提出了一种基于卷积神经网络的排水管道缺陷的检测方法,以提高CCTV视频中的管道缺陷检测的自动化和智能化。试验证明了该方法的有效性,其在缺陷识别的准确率和召回率及识别速度上均满足了排水管道缺陷智能检测的需要;同时该方法也已经在深圳市的排水管道检测中得到广泛的应用。 相似文献
155.
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157.
海洋地震资料普遍发育强能量表面多次波,传统表面多次波压制技术(SRME)能够预测出所有阶次表面多次波,但是各阶次表面多次波相互混叠.为了能够单独利用不同阶次的表面多次波成像,降低干涉假象对多次波成像的影响,需要将不同阶次的表面多次波分离出来.本文提出一种基于扩展SRME的海洋单阶次表面多次波分离方法.首先,应用SRME... 相似文献
158.
对2004年8月登陆我国的台风"云娜"的热动力结构及其演变进行了数值模拟。试验从大尺度环境场、台风中尺度动力和热力场三维结构、台风云雨特征等多角度,对模拟结果与实际观测进行了对比。结果表明,模式不仅较准确地再现了台风登陆前24h移动和演变的全过程,在移向、移速和登陆时间、地点上与实况十分接近,而且对台风系统中尺度结构、云雨特征的模拟与分析场及卫星观测也有较好的一致性。采用的模拟工具是新开发的双重嵌套AREM模式,该模式是静力模式,但对台风仍有较强的模拟能力。此外,本试验无任何人为台风模型的嵌入是其中的一个特点,从而增加了试验的可信度。 相似文献
159.
BAKHT Shahzad SUN Fengyue WANG Linlin XU Chenghan YE Lina ZHU Xinran FAN Xingzhu 《世界地质(英文版)》2021,24(2):80-88
The Qinggouzi stibnite deposit is located in Huashan Town, Jilin Province, in the northeastern margin of North China Craton(NCC). It is controlled by fault structures, hosted within structurally controlled felsic dykes, predominantly surrounded by phyllite, schist and quartzite. This study presents the results of fluid inclusions studies, intending to determine the source of the fluid responsible for ore-formation, hence exploring its metallogenesis. The aqueous biphase inclusions are identified in the stibnite-bearing quartz veins of the deposit. Moreover, aqueous biphase inclusions are further classified into(1) biphase liquid-rich inclusions(1 a) and(2) biphase gas-rich inclusions(1 b) depending upon liquid to gas ratio trapped within the fluid inclusions. Homogenization temperatures for(1 a) and(1 b) range between 114.8℃ to 422℃ and 128.3℃ to 267.5℃, respectively. 1 a and 1 b have salinities of 0.18% to 16.14% NaCl_(eqv) and 1.22% to 12.88% NaCl_(eqv), and density range from 0.43 to 1.02 g/cm~3 and 0.81 to 0.98 g/cm~3, respectively. Sulfur isotopic analysis indicates δ~(34)S_(V-CDT) from 4.4×10~(-3) to 6.5×10~(-3), with an average of 5.2×10~(-3), whereas H isotopes values on δD_(V-SMOW) standard are-100.8×10~(-3) and-107.5×10~(-3), while O isotopes data on δ~(18)O_(V-SMOW) standard range between 20.1×10~(-3) and 20.4×10~(-3). Fluid inclusions study, combining with sulfur and H-O isotopic data reveal that the ore-forming fluids originated from deep source and were subsequently contaminated by meteoric water. Hydrostatic pressure calculation shows that the minimum and maximum pressures are 11.65 and 42.33 MPa, and relevant depths of deposit are estimated to be 1.16 and 4.23 km. Finally, we inferred that Qinggouzi stibnite deposit is a medium-low temperature, low salinity hydrothermal deposit, which is formed by deep source and later contaminated by meteoric water, and is classified as epizonal deposit in terms of orogenic series. 相似文献
160.