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11.
我国大陆及其邻区6级以上地震的“缺震事件”——一种大地震中期预测指标的分析研究 总被引:1,自引:0,他引:1
在内陆强震活动的起伏中,6级以上地震的大范围长时间缺震,具有重要的意义。有的研究者已将其作为将发生7级地震前的标志之一。作者系统地清理了1897—1988年8月间中国大陆及其邻区6级以上地震“缺震事件”的始末,较多的震例表明,限定“缺震事件”起止的地震具有中期预报意义。它们在地震构造上的原因可能是代表区域最活跃的破裂,突然处于阻碍、闭锁状态,其持续时间大于10个月,再次发生6级以上地震为解锁,并随即出现新的一轮大地震活动。故可以作为一种大地震中期预测的指标。 相似文献
12.
WenJun Zhang 《Stochastic Environmental Research and Risk Assessment (SERRA)》2007,21(6):729-735
This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition
on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were
used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better
than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition
from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence
recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural
network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy
(terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It
was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but
a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction.
Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed. 相似文献
13.
模式识别在地图制图中的应用,是实现地图制图自动化的重要研究内容。通过对模式识别,地图制衅,以及地图模式识别的发展回顾和现状分析,阐述了开展地图模式识别研究的重要意义,并指出了其研究重点。 相似文献
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本文评述了当前国内外利用雷达回波资料识别雹云的现状,着重介绍了笔者近年来利用雷达回波资料建立雹云识别模式的研究工作,并展望了雹云识别的未来发展前景。 相似文献
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In order to get a better knowledge of the air pollution levels of the urban air of Barcelona,twelvesamples from three stations of the air-monitoring control network were analysed.Each control station isrepresentative of a different environmental situation.Thus the station at Plaa Molina responds to asimple domestic and urban traffic situation;the station at Poble Nou to the influence of medium andsmall industries,mainly metallurgical;and the station at Montcada to a zone in which there existimportant industries,a cement factory,two highways and railroads.The total content of unsedimentable particles,three inorganic anions(chlorides,sulphates andnitrates)and six heavy metals(Fe,Pb,Cu,Mn,Cr and Cd)were determined on all the samples obtainedduring the same period of time.The use of an analytical scheme of sequential extraction has alsopermitted the subdivision of the total content of each metal into the following four fractions:(1)solubleor exchangeable;(2)associated with carbonates and/or with iron and manganese oxides;(3)bound toorganic matter;and(4)residual.The use of principal component analysis applied to the data as a whole showed the associations andcorrelations between the various parameters as well as between the different above mentioned fractions.The predominant presence of Cd in the‘soluble or exchangeable’fraction is confirmed,while the othermetals are mainly associated with the‘carbonates and/or Fe and Mn oxides’and‘bound to organicmatter’fractions.Hierarchical cluster analysis applied to the twelve samples showed clearly the presence of threedifferent classes closely related to the origin(station)of the samples.Thus it becomes feasible to proposefor each station a possible profile of the content in terms of the different parameters considered. 相似文献
17.
本文讨论了马尔柯夫随机场图象模型及邻域选择方法,提出了8邻域5特征参数的马尔柯夫随机场图象模型以及一套完整而有效的特征参数的估计算法,将这些特征参数变成可视图象从而实现了视算。对8类不同纹理的标准图象进行分类试验,其识别(分类)的平均正确率达97.57%。 相似文献
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It is widely recognized that rainfall over the Yangtze River valley (YRV) strengthens considerably during the decaying summer of El Niño, as demonstrated by the catastrophic flooding suffered in the summer of 1998. Nevertheless, the rainfall over the YRV in the summer of 2016 was much weaker than that in 1998, despite the intensity of the 2016 El Niño having been as strong as that in 1998. A thorough comparison of the YRV summer rainfall anomaly between 2016 and 1998 suggests that the difference was caused by the sub-seasonal variation in the YRV rainfall anomaly between these two years, principally in August. The precipitation anomaly was negative in August 2016——different to the positive anomaly of 1998. Further analysis suggests that the weaker YRV rainfall in August 2016 could be attributable to the distinct circulation anomalies over the midlatitudes. The intensified "Silk Road Pattern" and upper-tropospheric geopotential height over the Urals region, both at their strongest since 1980, resulted in an anticyclonic circulation anomaly over midlatitude East Asia with anomalous easterly flow over the middle-to-lower reaches of the YRV in the lower troposphere. This easterly flow reduced the climatological wind, weakened the water vapor transport, and induced the weaker YRV rainfall in August 2016, as compared to that in 1998. Given the unique sub-seasonal variation of the YRV rainfall in summer 2016, more attention should be paid to midlatitude circulation——besides the signal in the tropics——to further our understanding of the predictability and variation of YRV summer rainfall. 相似文献
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