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981.
We have developed new basic theories for calculating the conversion point and the travel time of the P-SV converted wave (C-wave)
in anisotropic, inhomogeneous media. This enables the use of conventional procedures such as semblance analysis, Dix-type
model building and Kirchhoff summation, to implement anisotropic processing, and makes anisotropic processing affordable.
Here we present these new developments in two parts: basic theory and application to velocity analysis and parameter estimation.
This part deals with the basic theory, including both conversion-point calculation and moveout analysis.
Existing equations for calculating the PS-wave (C-wave) conversion point in layered media with vertical transverse isotropy
(VTI) are strictly limited to offsets about half the reflector depth (an offset-depth ratio, xlz, of 0.5), and those for calculating the C-wave traveltimes are limited to offsets equal to the reflector depth (x/z=l.0). In contrast, the new equations for calculating the conversion-point extend into offsets about three-times the reflector
depth (x/z=3.0), those for calculating the C-wave traveltimes extend into offsets twice the reflector depth (x/z=2.0). With the improved accuracy, the equations can help in C-wave data processing and parameter estimation in anisotropic,
inhomogeneous media.
This work is funded by the Edinburgh Anisotropy Project (EAP) of the British Geological Survey.
First author:
Xiangyang Li, Mr. Li is currently a professorial research seismologist (Grade 6) and technical director of the Edinburgh Anisotropy Project
in the British Geological Survey. He also holds a honorary professorship in multicomponent seismology at the School of Geosciences,
University of Edinburgh. He received his BSc(1982) in Geophysics from Changchun Geological Institute, China, an MSc (1984)
in applied geophysics from East China Petroleum Institute (now known as the China University of Petroleum), and a PhD (1992)
in seismology from the University of Edinburgh. During 1984–1987, he worked as a lecturer with the East China Petroleum Institute.
Since 1991, he has been employed by the British Geological Survey. His research interests include seismic anisotropy and multicomponent
seismology. 相似文献
982.
On the basis of Biot dynamic theory, an analytic solution of two-dimensional scattering and diffraction of plane SV waves by circular cylindrical canyons in a half space of saturated porous media is presented in this paper for the first time. The solution is obtained by employing the Fourier–Bessel series expansion technique. Parametric studies had been carried out, which includes: the angle of incidence, the frequency of the incident SV wave, the porosity of saturated porous medium and the stiffness and Poisson's ratio of the solid-skeleton. All the outcomes are useful for the seismic analysis of the surface topography conditions. 相似文献
983.
石墨炉原子吸收光谱法测定土壤样品中镉 总被引:5,自引:0,他引:5
采用磷酸氢二铵作基体改进剂塞曼扣背景石墨炉原子吸收光谱法测定土壤样品中镉,方法检出限DL=0.012μg/g,精密度RSD在3.55%~7.33%,满足了土壤样品中镉测定的镉质量要求。 相似文献
984.
根据联合国有关机构发布的公报和世界各国近年来的学术研究情况,整理出了近期水文学科在地表水、地下水、水质、水资源系统、大气~土壤~植被、大陆侵蚀、冰雪、遥感技术和示踪技术等领域的热门研究课题,在一定程度上反映了当前国际上水文学科的研究和发展方向,对国内同行有一定的参考价值。 相似文献
985.
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989.
武夷山脉主峰黄岗山两种山地草甸土的研究 总被引:1,自引:0,他引:1
选取武夷山脉主峰黄岗山典型山地草甸土和黄壤性山地草甸土的代表剖面,研究了土壤形成的条件和特点,推断在气候和植被条件相近的情况下,地形因素的差异引起的水环境的不同,是造成两种土壤理化性质差异的主要原因。 相似文献
990.
The aim of this paper is to investigate the feasibility of using Landsat TM data to retrieve leaf area index (LAI). To get a LAI retrieval model based ground reflectance and vegetation index, detailed field data were collected in the study area of eastern China, dominated by bamboo, tea plant and greengage. Plant canopy reflectance of Landsat TM wavelength bands has been inversed using software of 6S. LAI is an important ecological parameter. In this paper, atmospheric corrected Landsat TM imagery was utilized to calculate different vegetation indices (VI), such as simple ratio vegetation index (SR), shortwave infrared modified simple ratio (MSR), and normalized difference vegetation index (NDVI). Data of 53 samples of LAI were measured by LAI-2000 (LI-COR) in the study area. LAI was modeled based on different reflectances of bands and different vegetation indices from Landsat TM and LAI samples data. There are certainly correlations between LAI and the reflectance of Tm3, TM4, TM5 and TM7. The best model through analyzing the results is LAI = 1.2097*MSR + 0.4741 using the method of regression analysis. The result shows that the correlation coefficient R2 is 0.5157, and average accuracy is 85.75%. However, whether the model of this paper is suitable for application in subtropics needs to be verified in the future. 相似文献