底质

文蛤密度对养殖水体底质硫化物和COD影响的研究

Effects of Meretrix meretrix Stocking Density on Sulfuret and COD in Substrate of Water

虾池底质中NH4~+-N、S~（2-）和异养细菌含量的变化及其相关性研究

Studies on variations of contents of NH_4 ~ + - N , S ~ ( 2 -) and heterotrophic bacteria in substrate of shrimp ponds and their correlations

基于遗传算法的BP网络实现海底底质分类

Seabed texture classification using BP neural network based on GA

基于改进BP神经网络的海底底质分类

Seabed Classification with Improved BP Neural Network

学习向量量化（learningvectorquantization，LVQ）神经网络在声学底质分类中具有广泛应用。

The Learning Vector Quantization ( LVQ ) neural network approach has been widely used in acoustic seafloor classification .

首先，提取分形维数作为纹理特征，然后，应用BP神经网络作为分类器对底质图像做分类识别。

First , fractal dimension is used as texture feature . Then , BP network is used as classifier to recognize the images .

基于Voronoi的底质区域划界方法初步研究

Method of Nature Sea Bed Delimitation Based on Voronoi Diagram

ICP-AES法同时测定污染底质中的微量元素Cr、Cu、V、Mn

The Simultaneous Determination of Cr , Cu , V and Mn in the Polluted Bottom-sediment of the Shore around Xiamen by ICP-AES

~（95）Zr在海水、底质及海洋生物间的迁移、富集和分布

Transference , concentration and distribution of ~ ( 95 ) Zr among seawater , sediment and marine organisms

颗粒物高温处理后PCP在东湖底质颗粒物上的吸附量减小。

The adsorption capacity decreased after the particulate matter was dealed with high temperature .

用5-Br-PADAP分光光度法测定海洋底质中的钴

Spectrophotometric Determination of Trace Cobalt in sea-floor sediments , using 5-Br-PADAP

结合遗传算法的LVQ神经网络在声学底质分类中的应用

Application of LVQ neural network combined with the genetic algorithm in acoustic seafloor classification

底质中重金属污染较为严重，大部分站位均达到极强的生态危害，主要污染元素是Hg。

The heavy metals pollution in sediments is much severer and seriously harmful to ecology in most stations . Hg is the primary element of pollution .

总体上7种重金属在底质中的含量出现增长趋势，其中Cd增长幅度最大，Hg次之。

Generally , 7 types of heavy metals are presenting a rising tendency in sediments , among which , Cd is the most remarkable one , with Hg taking the second place .

在垂直方向上，上层底质中TN、TP含量略高于下层，无显著性差异（p0.05）。

TN and TP contents in upper sediment were slightly higher than that in lower sediment , While the difference between the two layers was not significant ( p0.05 ) .

通过在蒸馏水中0～10℃条件下，在含Cu、Co、Ni和有机质溶液以及不同底质的合成海水中（常温常压）合成锰矿物。

Manganese minerals were synthesized in distilled water at 0 - 10 ℃ and in synthetic sea water containing Ni , Co , Cu solutions , organic matter and different sediments under normal atmospheric temperature and pressure .

所得实验数据与理论计算结果符合甚好。计算所得Q值与由底质采样所得Q值基本一致。

The data obtained in the experiment are generally in good agreement with theoretical calculations , and the value of Q thus obtained is consistent with its value obtained by the method based on bottom sediment sampling .

常用的LVQ神经网络存在神经元未被充分利用以及算法对初值敏感的问题，影响底质分类精度。

However , one of the major weak points of LVQ is its sensitivity to the initialization , affecting the seafloor classification accuracy .

每个样点测量11个与底栖动物分布密切相关的环境因子：溪流的宽度，深度，流速，电导率，溶氧，pH，温度，海拔，经度，纬度和底质。

Eleven environmental variable that related to the distribution of benthic macroinvertebrate : stream wet width , depth , velocity , conductivity , DO , pH , water temperature , altitude , longitude , latitude and substratum were measured at each sampling site .

本文以1987年调查资料为基础，讨论了大连湾底质中诸化学要素如pH，Eh，硫化物、有机质、氮、铜、铅、锌、镉等分布规律。

Based on the results of investigation in 1987 , the distribution of sedimentary chemical elements as pH , Et , sulphide , organics , nitrogen , copper , lead , zinc and cadmium in Dalian Bay is summarized .

因此，以PVA、SA作为载体添加沸石粉和碳源对菌体进行包埋的技术在刺参池塘养殖的水质和底质环境修复实践中可能具有较大的应用价值。

Therefore , Using the PVA and SA as the carrier and adding zeolite and carbon source for immobilizing bacteria may have greater value in sea cucumber culture pond water quality and sediment environmental restoration practice .

研究发现环境因素（pH值、离子强度和温度）、底质有机质和共存污染物（重金属、表面活性剂和共存酚类污染物）能够促进和抑制3种酚类污染物在底质上的吸附。

Results indicated that ( 1 ) Environmental factors ( pH value , ionic strength and temperature ), the organic matter of sediment and coexisted pollutants ( heavy metal , surfactants and coexisting pollutants ) can affect the adsorption of three selected phenolic pollutants on sediment .

汀角有香港面积最大的硬底质红树林，作者调查了该红树林区沉积物、红树植物以及双壳类动物体内重金属（Cu、Pb、Zn和Ni）的含量。

Ting Kok has largest hard-bottom mangal in Hong Kong . We investigated the contents of heavy metals ( Cu , Pb , Zn and Ni ) in sediments , plant tissues as well and edible parts of bivalves in this mangrove area .

底质对磷的最大解吸量Dm值在34.16～169.29mg/kg之间，平均值为83.32mg/kg。

The phosphorus maximum amount of Dm value of desorption in sediment between 34.16 ~ 169.29mg/kg . the average is 83.32 mg / kg .

沙底质实验组ACP、AKP活力显著高于无底质实验组，两种不同底质对凡纳滨对虾SOD活力没有显著影响。两组实验各水质指标间均不存在显著性差异。

ACP , AKP activity of sand substrate group was significantly higher than the group of no substrate , SOD activity had no significant effect between two different substrate as so as water quality indicators .

将其应用于青岛胶州湾海区底质分类识别研究中，通过与标准的LVQ神经网络的分类结果进行比较表明，该方法在分类速度以及精度上都有了较大提高。

Comparing the evolving LVQ with the standard LVQ , the experiment results indicate that the approach of GA-based LVQ has improved the seafloor classification speed and accuracy .

辽东湾底质重金属污染物主要是Cd、Zn、Pb，尤其是Cd平均含量为1.16mg/kg，超过土壤环境质量三级标准；

Cd , Pb and Zn are the main heavy metal pollutants . The average content of Cd in the sediments of the most river mouths reaches 1.16 mg / kg , which exceeds the standard of Class ⅲ of the soil environment quality .

浅地层剖面仪在海洋工程中的应用运用GPY浅地层剖面仪对太湖底质的探测

Application of Subbottom Profiler to Ocean Engineering SURVEY OF THE SUBSTRATE OF TAI-LAKE USING GPY ACOUSTIC METER

利用多波束测深系统获取的反向散射强度数据，应用学习向量量化（learningvectorquantization，LVQ）神经网络分类方法实现了对海底砂、砾石和基岩等底质类型的快速、有效的识别。

We utilize the seafloor backscatter strength data of each beam from multibeam sonar systems and the automatic classification technology to get the seafloor type identification maps . We primarily study on the seafloor classification using learning vector quantization ( LVQ ) neural network method .

滩涂养殖区域尤其老化区域的沉积物经过矿化最终会产生CH4等，污染底质和水质，影响生物的生长，并向大气中释放甲烷等温室气体。

The mineralization of sediment in shoal farming area , especially in aging area produces methane . It can pollute sediment and water , impact the growth of animal and plant , and release methane to air .