海底沉积物
- 网络marine sediment
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本文主要讲述了X射线荧光分析法在测定土壤样品、海底沉积物及空气颗粒物中重金属的应用,分析方法简单、快速、灵敏度和准确度高。
The application of X-ray fluorescence spectrometry to determination of heavy metal in soil samples , marine sediment samples and airborne particulate matter is studied .
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然而kanda教授认为污染主因是第三个因素,海底沉积物。
But Kanda thinks that the third source , marine sediment , is the main cause of the contamination .
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基于ANSYS和FLUENT的海底沉积物原位保真采样系统性能分析
Performance Analysis on the Seabed Sediment Fidelity Sampler Based on ANSYS and FLUENT
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钦州湾海底沉积物Hg元素分布及其影响分析
The distribution of Hg in sediments of Qinzhou Bay , Guangxi , and its influence
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海底沉积物的ICP-AES分析
Analysis of sediment samples by ICP-AES
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最后根据海底沉积物分类工作的具体要求,选用了模糊ART网络,并进行了分类工作的仿真研究,通过仿真结果证明了分类算法的有效性。
According to the idiographic request of sediment classification task , fuzzy ART neural network was chosen to differentiate various sediment types and simulations were made to validate the correctness of classification arithmetic .
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A3钢在砂型海底沉积物中的腐蚀速度约是其在粘土型海底沉积物中腐蚀速度的2倍。
The corrosion rate of mild steel in the SBS falling into the sand type is higher onetime than it in the SBS falling into the clay type .
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ODP184航次岩芯海底沉积物元素相态研究及其对有机质和轻烃的指示意义
Element phases of drilling core sediment from ODP 184 voyage and their significance for oil gas indication
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介绍了天然气水合物地球化学识别标志及相关的分析测试技术,包括海底沉积物空隙水中阴离子和同位素地球化学异常、标型矿物、海底底层水中CH4异常等。
The author briefly introduces geochemical recognition indicators of gas hydrate and the relative analysis and measurement techniques including anions in pore water , isotopic geochemical anomaly , standard mineral , and CH_ ( 4 ) anomaly in sea bottom water etc.
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运用设计的声学特性测量系统,以40KHz的平面发射换能器和两个声波探针为传感器,进行了海底沉积物声学特性小距离测量实验。
Based on the acoustic properties measurement system , the seabed sediment acoustic properties on small-gap measurement experiment was carried out using the two probes to be sensors .
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文中提供的一些海底沉积物的地质分析、14C测年等资料和采用的研究方法对今后南海北部大陆架的第四纪地质、海底沙波以及海底稳定性研究均有参考价值。
Some of the geological analyses on seafloor sediments , 14C data and the adopted methods provided in the paper have all a certain reference value for future studies on Quaternary geology , seafloor sand waves and seafloor stability in the continental shelf of northern South China Sea .
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用声学三参数判别海底沉积物性质
Discrimination of seafloor sediment properties from sound velocity waveform and amplitude
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海底沉积物孔隙度与声速的关系
The Relationship between porosity of sea bed sediment and sound velocity
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基于声学参数反演的海底沉积物分类研究
Research of the sea-bed sediments classification based on acoustic parameters invertion
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中太平洋北部海底沉积物孢粉分析
Pollen-spores analysis to the bottom sediments of the north of Mid-Pacific
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海底沉积物贯入阻力原位测试方法研究
A New Approach of In-situ Testing Penetrating Resistance of Marine Sediment
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粤西湛江港海底沉积物重金属的分布特征与来源
Distribution and source of heavy metal elements in sediments of Zhanjiang Harbor
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南海西北部近海海底沉积物特征
The features of the offshore deposits in the north-western South China Sea
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海底沉积物取样钻机设计方案的探讨
The Research on Design of Seafloor Sediment Sampling Drilling Machine
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海底沉积物声学测量中频谱分析方法应用研究
Research on application of spectrum analysis in acoustic measurement of seabed sediments
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基于邻域灰阶共生矩阵的海底沉积物分类
Seafloor sediment classification using a neighborhood gray level co - occurrence matrix
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温度变化下海底沉积物声学测量的信号处理和频谱分析
Acoustic signal processing and spectrum analysis of seafloor sediment under temperature perturbation
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中国东南近海海底沉积物声学物理性质及其相关关系
Acoustic-physical properties of seafloor sediments from nearshore southeast China and their correlations
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在轴向应力应变下海底沉积物声速及其响应
The respond of sound velocity of seafloor sediments on its axial stress-strain course
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往复海流作用下桩基局部冲刷及海底沉积物粒度变化
Scour and Sediment Particle Size Change Around Pile Base Acted by Rectilinear Current
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结果显示:舟山群岛海域海底沉积物中存在着丰富的真菌资源。
Results indicated : fungi resource in sediments of Zhoushan Archipelago is abundant .
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海底沉积物分析测试方法标准的研究
Study on standard of analytical methods for marine sediment
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渤海南部海底沉积物颜色的研究
Color variation of surface sediment in South Bohai Sea
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碳钢在不同类型海底沉积物中的腐蚀行为
Corrosion behavior of mild steel in different seabed sediments
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人工神经网络技术在海底沉积物声速预报中的应用
Application of Artificial Neural Network Technology in Sound Velocity Prediction for Marine Sediments