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101.
天然含钒金红石样品经过1273K加热、淬火和高能电子辐照处理后性质发生不同程度的变化。XRD谱峰显示处理前后样品没有发生物相变化,显微IR图谱证明原样、加热、淬火样品的表面有少量吸附水存在,而辐射样品的显微IR图谱上没有检测到吸附水的吸收峰。用XPS分析比较了处理前后样品表面主要元素Ti、O和V的价态及含量,结果表明,原样经过处理后表面钒和氧的原子百分含量增加,其中淬火样品表面吸附水和钒的含量相对于原样增加最为明显,光催化活性相应较高;加热样品表面的吸附水和钒的含量比原样稍有增加,光催化活性与原样相当;电子辐射样品表面钒的原子百分含量相对原样增加不明显,而对水的吸附能力相对原样较低,光催化效率也略低。 相似文献
102.
A method, based on the Hilbert–Huang spectral analysis, has been proposed by the authors to identify linear structures in which normal modes exist (i.e., real eigenvalues and eigenvectors). Frequently, all the eigenvalues and eigenvectors of linear structures are complex. In this paper, the method is extended further to identify general linear structures with complex modes using the free vibration response data polluted by noise. Measured response signals are first decomposed into modal responses using the method of Empirical Mode Decomposition with intermittency criteria. Each modal response contains the contribution of a complex conjugate pair of modes with a unique frequency and a damping ratio. Then, each modal response is decomposed in the frequency–time domain to yield instantaneous phase angle and amplitude using the Hilbert transform. Based on a single measurement of the impulse response time history at one appropriate location, the complex eigenvalues of the linear structure can be identified using a simple analysis procedure. When the response time histories are measured at all locations, the proposed methodology is capable of identifying the complex mode shapes as well as the mass, damping and stiffness matrices of the structure. The effectiveness and accuracy of the method presented are illustrated through numerical simulations. It is demonstrated that dynamic characteristics of linear structures with complex modes can be identified effectively using the proposed method. Copyright © 2003 John Wiley & Sons, Ltd. 相似文献
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To reconstruct oceanographic variations in the subtropical South Pacific, 271-year long subseasonal time series of Sr/Ca and δ18O were generated from a coral growing at Rarotonga (21.5°S, 159.5°W). In this case, coral Sr/Ca appears to be an excellent proxy for sea surface temperature (SST) and coral δ18O is a function of both SST and seawater δ18O composition (δ18Osw). Here, we focus on extracting the δ18Osw signal from these proxy records. A method is presented assuming that coral Sr/Ca is solely a function of SST and that coral δ18O is a function of both SST and δ18Osw. This method separates the effects of δ18Osw from SST by breaking the instantaneous changes of coral δ18O into separate contributions by instantaneous SST and δ18Osw changes, respectively. The results show that on average δ18Osw at Rarotonga explains ∼39% of the variance in δ18O and that variations in SST explains the remaining ∼61% of δ18O variance. Reconstructed δ18Osw shows systematic increases in summer months (December-February) consistent with the regional pattern of variations in precipitation and evaporation. The δ18Osw also shows a positive linear correlation with satellite-derived estimated salinity for the period 1980 to 1997 (r = 0.72). This linear correlation between reconstructed δ18Osw and salinity makes it possible to use the reconstructed δ18Osw to estimate the past interannual and decadal salinity changes in this region. Comparisons of coral δ18O and δ18Osw at Rarotonga with the Pacific decadal oscillation index suggest that the decadal and interdecadal salinity and SST variability at Rarotonga appears to be related to basin-scale decadal variability in the Pacific. 相似文献
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中国西南低空急流活动的统计分析 总被引:11,自引:0,他引:11
参照北美研究低空急流气候特征的方法,对中国低空急流进行重新定义,实现了低空急流定义的统一,并在此基础上对低空急流活动特征进行了分析。结果表明:中国低空急流主要有两个活动中心,分别位于江南地区和东北地区;江南地区的低空急流活动主要有两个活跃期,分别为1-4月和6-7月;东北地区的低空急流活动主要表现为2月、8-9月两个活动较弱期;江南地区的低空急流主要在6-8月表现出独立的急流轴,东北地区则主要在8月份;汛期低空急流活动与长江流域区域性暴雨有伴随性,多雨年急流次数很多,少雨年则很少;长江中下游及两湖盆地附近急流活动有明显的日变化。 相似文献
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El Niño/Southern Oscillation (ENSO) is considered one of the most powerful forces driving anomalous global weather patterns. Large-scale seasonal precipitation and temperature changes influenced by ENSO have been examined in many areas of the world. The southeastern United States is one of the regions affected by ENSO events. In this study, remote sensing detection of vegetation response to ENSO phases is demonstrated with one-kilometer biweekly Normalized Difference Vegetation Index (NDVI) data (1989–1999) derived from the Advanced Very High Resolution Radiometer(AVHRR). The impacts of three ENSO phases, cold, warm and neutral, on vegetation were analyzed with a focus on two vegetation cover types, two seasons and two geographic regions within the southeastern U.S. Significant ENSO effects on vegetation were found in cropland and forest vegetation cover types based on image and statistical analysis of the NDVI data. The results indicate that vegetation condition was optimal during the ENSO neutral phase for both agricultural and natural vegetation. 相似文献