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21.
利用天然地震震源和人工爆破震源之间信号能量分布的差异,结合RBF神经网络技术,对2类事件进行分类,具体步骤如下:使用8个带通滤波器对事件波形进行滤波,并划分为4个波形段:P波、P波尾波、S波和S波尾波,分别计算每个滤波器信道和波形段的能量特征值,以所得32个特征参数作为输入向量,利用RBF神经网络,对地震和爆破事件进行分类识别。结果表明,基于RBF神经网络的地震事件识别方法,识别率为88.1%,具有较高的准确性,可作为地震与爆破事件识别的一个重要依据。 相似文献
22.
塔河油田下奥陶统碳酸盐岩储层测井分类识别研究 总被引:1,自引:0,他引:1
塔河油田下奥陶统碳酸盐岩为一套缝洞发育的复杂储层,通过大量已知井的测井曲线与岩心分析数据对照观察、分析,归纳出了五种储层的电性分类识别标准。在此基础上,又利用自然伽玛(GR)、深浅侧向电阻率(Rd,Rs)、声波时差(AC)、密度(DEN)、中子孔隙度(CNL)的响应特征,建立了神经网络识别模型。通过在该区三十多口井的实际应用,取得了较好的效果。 相似文献
23.
Identification method of weak seismic phases on the basis of wavelet packet transform 总被引:1,自引:0,他引:1
Xi-Qiang Liui Hui-Lan Zhou Zhi-Zhen Zheng Ping Shen Xuan-Hui Yang Yan-Lu Ma 《地震学报(英文版)》1998,11(4):431-439
This paper describes a sort of new method identifying seismic phase by the name of wavelet packet transform. Perfectness and
development of the wavelet packet transform is based upon the idea of its multiscale analysis. The method of wavelet packet
transform can depict the anomalous changes information of transient spectra of seismic wave onset, and come true the target
of identifying seismic phase especially weak seismic phase. Then this paper presents discriminating examples of simulating
digital signals and actual seismic phase. Compared with conventional seismic phase discrimination, studied results show that
the wavelet packet transform method is an available tool of weak signal analyses, and have unexampled merits and attractive
application foreground.
This research gets hold of Higher School Doctor Scientific Research Foundation (No. 157 WJ0704 9435611) and supported by the
National Natural Science Foundation (No. 49474211). 相似文献
24.
平顶山矿区矿井突(涌)水水源判别模式 总被引:18,自引:1,他引:17
对在平顶山矿区所采集的地下水样品进行了多元统计分析,以识别一些来源不清的样品归属,建立该区突(涌)水水源判别模型。选择水中6大离子为变量,对37个水样进行了Q型聚类分析和阳离子三角形分析;以聚类分析所得的结果为基础,应用判别分析方法建立了该矿区寒武系灰岩水、薄层灰岩水(L2)和砂岩水3类判别模型,并应用马氏距离作F检验和归属概率“检验”,结果表明所建立的判别模型是有效的。 相似文献
25.
The soil freeze–thaw controls the hydrological and carbon cycling and thus affects water and energy exchanges at land surface. This article reported a newly developed algorithm for distinguishing the freeze/thaw status of surface soil. The algorithm was based on information from Advanced Microwave Scanning Radiometer Enhanced (AMSR‐E) which records brightness temperature (Tb) in the afternoon and after midnight. The criteria and discriminant functions were obtained from both radiometer observations and model simulations. First of all, the microwave radiation from freeze–thaw soil was examined by carrying out experimental measurements at 18·7 and 36·5 GHz using a Truck‐mounted Multi‐frequency Microwave Radiometer (TMMR) in the Heihe River of China. The experimental results showed that the soil moisture is a key component that differentiates the microwave radiation behaviours during the freeze–thaw process, and the differences in soil temperature and emissivity between frozen and thawed soils were found to be the most important criteria. Secondly, a combined model was developed to consider the impacts of complex ground surface conditions on the discrimination. The model simulations quite followed the trend of in situ observations with an overall relation coefficient (R) of approximately 0·88. Finally, the ratio of Tb18·7H (horizontally polarized Tb at 18·7 GHz) to Tb36·5V was considered primarily as the quasi‐emissivity, which is more reasonable and explicit in measuring the microwave radiation changes in soil freezing and thawing than the spectral gradient. By combining Tb36·5V to indicate the soil temperature variety, a Fisher linear discrimination analysis was used to establish the discriminant functions. After being corrected by TMMR measurements, the new discriminant algorithm had an overall accuracy of 86% when validated by 4‐cm soil temperature. The multi‐year discriminant results also provided a good agreement with the classification map of frozen ground in China. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
26.
Specimens of blue moki Latridopsis ciliaris (Forster in Bloch & Schneider, 1801) from New Zealand were shown to differ from specimens of copper moki Latridopsis forsteri (Castelnau, 1872) using two genetic methods—allozymes and muscle proteins. Allozyme techniques revealed fixed differences between blue and copper moki at 4 out of 15 loci. There was a genetic distance of 0.31–0.34 between population samples of the two colour morphs. The two morphs were also distinguished by iso‐electric focusing of muscle proteins. Meristic characters, counted in the specimens studied with genetic markers, revealed diagnostic markers in tubed lateral line scales and scales in the lower transverse series. It is concluded that specimens of blue moki from New Zealand and copper moki from New Zealand and Tasmania are valid species. 相似文献
27.
Prorocentrum donghaiense is one of the most common red tide causative dinoflagellates in the Changjiang (Yangtze) River Estuary and the adjacent area of the East China Sea. It causes large-scale blooms in late spring and early summer that lead to widespread ecologic and economic damage. A means for distinguish- ing dinoflagellate blooms from diatom (Skeletonema costatum) blooms is desired. On the basis of measure- ments of remote sensing refectance [Rrs(λ)] and inherent optical parameters, the potential of using a mul- tispectral approach is assessed for discriminating the algal blooms due to P. donghaiense from those due to S. costatum. The behavior of two reflectance ratios [R1 = Rrs(560)/Rrs(532) and Re = Rrs(708)/Rrs(665)], suggests that differentiation of P. donghaiense blooms from diatom bloom types is possible from the current band setup of ocean color sensors. It is found that there are two reflectance ratio regimes that indicate a bloom is dominated by P. donghaiense; (1) R1 〉 1.55 and R2 〈 1.0 or (2) R1 〉 1.75 and R2 ≥ 1.0. Various sensitivity analyses are conducted to investigate the effects of the variation in varying levels of chlorophyll concentration and colored dissolved organic matter (CDOM) as well as changes in the backscattering ratio (bbp/bp) on the efficacy of this muitispectral approach. Results indicate that the intensity and inherent op- tical properties of the algal species explain much of the behavior of the two ratios. Although backscattering influences the amplitude of Rrs(λ), especially in the 530 and 560 nm bands, the discrimination between P. donghaiense and diatoms is not significantly affected by the variation of bbp/bp. Since aCDOM (440) in coastal areas of the ECS is typically lower than 1.0 m-1 in most situations, the presence of CDOM does not interfere with this discrimination, even as SCDOM varies from 0.01 to 0.026 nm-1. Despite all of these effects, the dis- crimination of P. donghaiense blooms from diatom blooms based on multispectral measurements of Rrs(λ) is feasible. 相似文献
28.
山东省济南市东郊某在建铁矿,于2009年7月产生了严重的地面塌陷。通过环境地质调查发现,该矿区地面塌陷并非通常所说的采空区塌陷,而是岩溶地面塌陷。该结论为矿山地面塌陷防治提供了依据,更重要的是否定了第四系厚度大(大于35m)不能产生岩溶地面塌陷的已有认识,并预示隐伏岩溶发育地区,随着上覆松散土体厚度的加大,一旦产生岩溶地面塌陷,其规模和危害也将随之增大。 相似文献
29.
灰色关联度法和距离判别分析法在溪洛渡库区潜在滑坡判识中的应用 总被引:1,自引:0,他引:1
以溪洛渡库区深入研究的14个典型滑坡为研究对象,在初步建立潜在滑坡判识指标的基础上,运用灰色关联度理论优选确定了影响库区潜在滑坡孕育的8个关键主控因素:坡面平均坡度、滑体内冲沟切割程度、洼地封闭状况(或排水条件)、滑面平均倾角、滑面形态、下滑段长度与总滑面长度之比、滑体结构及近期活动迹象,并依据距离判别分析的理论和方法,建立了溪洛渡库区潜在滑坡的距离判识模型。该判识模型对库区5个待判滑坡样本和9个滑坡学习样本的判识准确率均达到了100%。 相似文献
30.
天津市潮间带柱状沉积物中重金属的污染历史及来源判别 总被引:3,自引:0,他引:3
利用因子分析和元素含量特征分析两种方法,对天津市潮间带的4个无扰动沉积物柱样的46个样品进行了重金属分析,并探讨了重金属的来源方式和富集原因。研究结果表明,天津市潮间带的重金属可分为3类:1)Fe、Cr、Al及Mn元素主要受环境背景值的影响,2)Hg和Cd受人为活动的影响较大,3)As、Zn、Pb、Cu及Ni受环境背景值及人类活动的双重影响,且影响大小随所在位置的不同而变化。结合210Pb和137Cs测年结果,定量确定了天津市潮间带小于0.063 mm粒级沉积物中Ni等11种重金属元素的环境背景值,并以此为基础,进一步探讨了重金属富集年代、富集量及污染历史和人类活动的关系,发现多数重金属的污染始于1910年代,并在1954年之后富集量增加。 相似文献