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The Shanxi reservoir earthquakes are significant seismic events in southern Zhejiang Province in recent years, an area with fewer and weaker earthquakes. The seismicity showed an intermittent characteristic and group distribution. The epicenters located by the seismic network did not show a predominant direction and the seismogenic structure is not clear. In the study, the nonlinear imaginary wave travel time equation was linearized and solved, and the source position, initial imaginary velocity and travel ... 相似文献
13.
The 16S and 18S ribosomal ribonucleic acid genes of microbial organisms collected from the contrasting environments (temperature, salinity, silicate, phosphate and nitrate, p <0.05) of the inner and outer basins of Kongsfjorden (Spitsbergen, Arctic) were studied using polymerase chain reaction-denaturing gradient gel electrophoresis(DGGE) fingerprinting. Comparison of the microbial fingerprints and the physicochemical parameters revealed that molecular methodology exhibited a greater sensitivity. Sequences obtained from bacterial DGGE were affiliated with four main phylogenetic groups of bacteria:Proteobacteria(Alpha, Beta and Gamma), Bacteroidetes, Verrucomicrobia and Cyanobacteria. The relationships between the genotype distribution of these microbes and associated biotic/abiotic factors, revealed by canonical correspondence analysis, showed that Station 1 at 30 m (outer fjord) was grouped separately from the other sites. This difference could be a consequence of the thermocline and base of the euphotic layer at this depth where the Atlantic and Arctic-type waters overlapped. 相似文献
14.
利用近源物种马氏珠母贝的EST-SSR引物对企鹅珍珠贝DNA进行扩增,获得7对可扩增出目标条带的近缘分子标记,分析野生群体(YS)和养殖群体(YZ)企鹅珍珠贝的遗传多样性。结果显示,7个位点共获得26个等位基因;野生和养殖群体的等位基因数分别为3~5和3~4,平均期望杂合度(He)分别为0.623 5、0.496 8;平均观测杂合度(Ho)分别为0.431 8、0.302 8;HNUPM047位点的多态信息含量较低,为0.446 7,其他位点均在0.5以上,说明该遗传标记可提供比较丰富的遗传信息。表明养殖群体遗传多样性水平低于野生群体。 相似文献
15.
A. M. R. Burnet 《新西兰海洋与淡水研究杂志》2013,47(1):55-62
Brown trout Salmo trutta Linn, were marked with individual tags and recaptured throughout a year in two small Canterbury streams. The growth recorded showed a marked seasonal variation which differed in pattern in the two streams. There was a considerable difference in the growth rate between the two populations and fish transferred from the slow‐growth stream to the faster‐growth stream showed an immediate response to the change. 相似文献
16.
The surface energy balance algorithm for land method was used in this study to calculate the evapotranspiration (ET) rate for the middle reaches of the Heihe River Basin, Gansu Province, China, to analyse ET distribution within the oasis and the surrounding desert and, especially, on the edge zone of the oasis. Five profile graphs were created vertical to the river. Because of the inverse humidity phenomenon, the least amount of evapotranspiration occurred on the desert close to the oasis. The average evapotranspiration rate was roughly proportioned from the edge of the oasis to inside and outside its boundary. Two meteorological ground stations located close to the oasis edge showed a notable difference in net radiation flux that led to the difference found in ET. The primary reason for the significant differences observed in net radiation may be largely the result of differences in flux reflectivity and surface temperature. Meteorological data show that water supply also played an important role. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
17.
基于线粒体DNA的COⅢ基因序列对我国沿海重要经济贝类厚壳贻贝3个养殖群体(温州、宁德、福州)的遗传多样性和遗传结构进行了分析。由PCR扩增获得23个体的COⅢ基因787bp的部分序列,其多态性遗传参数统计显示,23个个体共检出21个单倍型,总群体单倍型多样性指数(Hd)为0.978,核苷酸多样性指数(Pi)为0.01045,平均核苷酸差异数(K)为8.534,三个群体均显示出较丰富的遗传多样性。遗传分化系数(Fst)表明,福州群体与宁德群体和温州群体间有一定程度的遗传分化,而宁德群体和温州群体间无遗传分化。 相似文献
18.
基于线粒体基因的石珊瑚分子系统学研究 总被引:2,自引:0,他引:2
以广东徐闻地区常见的6科10属17种石珊瑚的21个样本为研究对象,对线粒体COⅠ、16SrRNA和mtSSU三基因片段数据进行了联合分析,并计算了属间和科间遗传距离;利用邻接法、最大简约法和最大似然法分别构建了分子系统树。序列分析结果显示,石珊瑚线粒体基因碱基构成同样具有AT偏倚特征;石珊瑚属间的遗传距离显著大于属内遗传距离,而所有石珊瑚与两个外类种群的距离均大于石珊瑚之间的遗传距离;在系统发育树中,分子系统分类结果与形态学分类阐述的遗传进化关系略有差别,暗示传统形态学分类可能受珊瑚骨骼生长可塑性限制。 相似文献
19.
Gloria Curilem Jorge Vergara Gustavo Fuentealba Gonzalo Acuña Max Chacón 《Journal of Volcanology and Geothermal Research》2009
Each volcano has its own unique seismic activity. The aim of this work is to construct a system able to classify seismic signals for the Villarrica volcano, one of the most active volcanoes in South America. Since seismic signals are the result of particular processes inside the volcano's structure, they can be used to forecast volcanic activity. This paper describes the different kinds of seismic signals recorded at the Villarrica volcano and their significance. Three kind of signals were considered as most representative of this volcano's activity: the long-period, the tremor, and the energetic tremor signals. A classifier is implemented to read the seismic registers at 30-second intervals, extract the most relevant features of each interval, and classify them into one of the three kinds of signals considered as most representative of this particular volcano. To do so, 1033 different kinds of 30-s signals were extracted and classified by a human expert. A feature extraction process was applied to obtain the main characteristics of each of them. This process was developed using criteria which have been shown by others to effectively classify seismic signals, based on the experience of a human expert. The classifier was implemented with a Multi-Layer Perceptron (MLP) artificial neural network whose architecture and training process were optimized by means of a genetic algorithm. This technique searched for the most adequate MLP configuration to improve the classification performance, optimizing the number of hidden neurons, the transfer functions of the neurons, and the training algorithm. The optimization process also performed a feature selection to reduce the number of signal features, optimizing the number of network inputs. The results show that the optimized classifier reaches more than 93% exactitude. identifying the signals of each kind. The amplitude of the signals is the most important feature for its classification, followed by its frequency content. The described methodology can be used to classify more seismic signals to improve the study of the activity of this volcano or to extend the study to other active volcanoes of the region. 相似文献
20.
遗传算法优化的支持向量机湿地遥感分类——以洪河国家级自然保护区为例 总被引:6,自引:1,他引:5
湿地遥感分类作为湿地管理、监测与评价的重要手段,受到了广泛的关注。遗传算法(GA)借鉴了生物进化规律进行启发式搜索寻优,支持向量机(SVM)是一种新型的空间数据挖掘方法,二者相结合可以发挥各自的优势,寻找到支持向量机的全局最优参数,从而较准确地对湿地进行遥感分类。以洪河自然保护区为例,采用遗传算法优化的支持向量机方法进行了湿地遥感分类研究。同格网搜索下的支持向量机湿地遥感分类及最大似然监督分类对比,结果表明,遗传算法优化较格网搜索方式总精度提高了7.29%,较最大似然监督分类提高了12.06%,方法改善了沼泽、草地与裸地三种地物间的区分,是湿地遥感分类的有效手段。 相似文献