基于蚁狮优化算法的瑞雷波频散曲线反演

反演瑞雷波频散曲线获得横波速度剖面,是近地表瑞雷波勘探中最重要的步骤之一;瑞雷波频散曲线反演是一个多极值、高度非线性问题,为此引入蚁狮优化算法求解该类问题。蚁狮优化算法是一种群智能算法,是模仿蚁狮设置陷阱捕食的行为建立的全局优化算法,该算法收敛速度较快且降低了不同的参数设置对结果产生的影响。通过使用蚁狮优化算法对典型的理论地质模型进行了频散曲线反演,反演结果表明蚁狮优化算法能够运用在瑞雷波频散曲线反演中且精度较高,在实测资料中与传统非线性方法进行了对比,验证了基于蚁狮优化算法频散曲线反演的优势与实用性。     

面波频散反演的数值模拟

大量的数值模拟表明,SVD和LSQRD在面波频散网格反演两步法中的应用效果都很好.但SVD可以用分辨矩阵、信息矩阵和协方差矩阵对解估计进行数学上客观有效的评价;而对于大型稀疏方程组的求解,LSQRD确是一种内存需求小、计算速度快以及分辨抗噪能力都较强的算法 .在现有计算机运算速度较快、内存可以扩充较大的条件下,实测数据量不很大时,应采用SVD算法进行线性反演.     

基于S变换的瑞利面波频散分析

提取面波频散曲线是面波资料处理中最关键的一步.由于时频分析方法的局限,提出了利用S变换进行瑞利面波频散分析的方法,并给出了具体算法.该方法在时间-频率域中计算相邻两道面波记录同一频率的时间差,再利用道间距除以该时间差来得到该频率对应的相速度,这样避免了在道间距较大的情况下,传统的相位谱法可能造成相位差的缺陷.通过理论模型和实际资料对该方法进行了验证.结果表明,该方法能够提高瑞利面波频散曲线的提取精度,而且算法简单,具有一定的实用性.     

瑞雷面波勘探的过去、现在和未来

回顾了瑞雷面波勘探发展的历史,剖析了面波频散曲线正反演的进展及存在的问题,重点指出在石油和煤炭反射地震中,应从剔除面波转变为利用面波,并借助现有石油“大炮”反射地震资料中“有害的”瑞雷面波提取浅层地质结构信息,为反射地震静校正、近地表工程地质评价等提供物性参数,把反射地震的面波干扰变为对勘探十分有利的参数提取源,实现以强干扰面波为主要数据源的浅层结构探测,以促进瑞雷面波勘探技术的进一步发展。     

利用高频GPS反演强震面波震级的最优适用范围探讨

通过解算2010-04-04El Mayor-Cucapah Mw7.2地震的高频(1Hz)GPS数据,获取测站的动态位移,并根据Gutenberg经验震级公式反演面波震级,探索高频GPS反演震级的最优适用范围。结果表明,当高频GPS测站震中距分布于50~350km时,利用其水平位移峰值反演得到的面波震级为7.21,与美国USGS公布的震级Mw7.2一致;但当震中距350km时,高频GPS相对于强震仪位移峰值存在"上漂现象",反演得到的震级为7.6~8.0。建议利用高频GPS建立经验模型反演强震面波震级时,应考虑其适用范围。     

基于剪切波速的深层砂土地震液化研究

阐述了剪切波速法判别饱和砂土液化的原理,结合武汉地区某工程实例,对场地内埋深超越"规范法"适用范围的砂层进行液化判别,确定场地的临界液化深度。通过与室内动三轴试验的对比得出,2种方法的液化判别结果及确定的临界液化深度均吻合较好,验证了以剪切波速为指标的液化评估方法的可行性。     

Shear Wave Speed Dispersion Characteristics of Seafloor Sediments in the Northern South China Sea

To accurately characterize the shear wave speed dispersion of seafloor sediments in the northern South China Sea,five types of sediments including silty clay,clayey silt,sandy silt,silty sand,and clayey sand were selected,on which the measurements of the shear wave speed at 0.5-2.0 kHz and related physical properties were performed.Results reveal that the shear wave speed of sediments increases as the frequency increases,and the dispersion enhanced in the sediments in the order of silty clay,clayey silt,sandy silt,silty sand,and clayey sand,at a linear change rate of 0.727,0.787,3.32,4.893,and 6.967 m s?1 kHz?1,respectively.Through regression analysis,linear and logarithmic regression equations for the correlation between shear wave speed and frequency were established for each sediment type and the determination coefficients of regression equations indicate that the correlation is closer to a logarithmic relationship.The Grain-Shearing(GS)and Biot-Stoll models were used to calculate the shear wave speed dispersion of the five sediment types,and the comparison between theoretical prediction and measured results of shear wave speeds shows that the GS model can more accurately describe the shear wave speed dispersion characteristics of these sediments in the frequency band of 0.5-2.0 kHz.In the same band,the predictions obtained by using the Biot-Stoll model are significantly different from the measured data.     

隧道地震预报中基于遗传算法的波动方程反演

首先建立一维波动方程反演的数学模型,而后引入交错网格有限差分正演模拟,最后将遗传算法和交错网格差分正演结合,实现波动方程遗传算法的反演;针对数值模拟合成的单道记录,应用波动方程遗传算法反演分析各参数对反演结果的影响;采用工程实例验证反演的预报效果,比较前后两次预报相同里程段的波速值。结果显示,S波反演结果具有更好的一致性。     

利用SH横波反射资料中的勒夫面波反演浅部横波速度结构

由于勒夫波速度与纵波速度无关,勒夫波多道分析方法具有频散曲线简单、能量清晰、反演过程中未知参数少、对初始模型依赖小、反演结果稳定、分辨率高等特点。实验结果表明,利用浅层SH横波反射地震数据中的勒夫面波信息,反演得到近地表横波速度结构,在浅层地质构造、断层位置、上断点埋深等方面与浅层SH横波反射地震剖面以及地质钻孔数据吻合较好。该方法可为地下构造解释提供更多依据,提高探测成果的可靠性。     

利用反射地震资料中的面波研究剖面浅部结构

本研究利用浅层反射地震数据中的面波信息反演提取近地表横波速度结构,取得了较好的效果。该方法在一定程度上可弥补浅部反射资料的缺失,进而提高近地表结构探测的可靠性,同时也实现了对地震资料的充分利用。     

储层砂岩波阻抗及拉梅常数实验研究

地层条件下应用岩石物理参数测试系统(MTS)测试了岩石纵横波速度,结合已研究成果,根据实验数据和计算结果总结了波阻抗和拉梅常数与不同地层条件的关系,得到地表条件下岩样(饱气)的波阻抗随岩石孔隙度的增加而减小。同一个岩样(饱水)的波阻抗随着模拟地层深度的增加而增加。在各自相对应的模拟地层深度条件下,饱水岩样的纵波阻抗和拉梅常数值均明显大于饱气岩样的数值,但横波阻抗变化很小。     

Wave breaking on turbulent energy budget in the ocean surface mixed layer

As an important physical process at the air-sea interface, wave movement and breaking have a significant effect on the ocean surface mixed layer （OSML）. When breaking waves occur at the ocean surface, turbulent kinetic energy （TKE） is input downwards, and a sublayer is formed near the surface and turbulence vertical mixing is intensively enhanced. A one-dimensional ocean model including the Mellor-Yamada level 2.5 turbulence closure equations was employed in our research on variations in turbulent energy budget within OSML. The influence of wave breaking could be introduced into the model by modifying an existing surface boundary condition of the TKE equation and specifying its input. The vertical diffusion and dissipation of TKE were effectively enhanced in the sublayer when wave breaking was considered. Turbulent energy dissipated in the sublayer was about 92.0% of the total depth-integrated dissipated TKE, which is twice higher than that of non-wave breaking. The shear production of TKE decreased by 3.5% because the mean flow fields tended to be uniform due to wave-enhanced turbulent mixing. As a result, a new local equilibrium between diffusion and dissipation of TKE was reached in the wave-enhanced layer. Below the sublayer, the local equilibrium between shear production and dissipation of TKE agreed with the conclusion drawn from the classical law-of-the-wall （Craig and Banner, 1994）.     

基于随机森林算法的近地表气温遥感反演研究

近地表气温是城市热环境的重要表征,是改变和影响城区气候的重要因素。为获得空间上连续的近地表气温,本文以北京市为研究区,利用Landsat5/TM数据计算分别得到地表温度、归一化植被指数、改进的归一化差异水体指数、地表反照率、不透水面盖度,并结合气象站点气温和高程作为输入参数建立随机森林模型反演近地表气温。结果表明,随机森林反演的近地表气温平均绝对误差（MAE）为0.80 ℃,均方根误差（RMSE）为1.06 ℃,与传统多元线性气温回归方法相比,平均绝对误差（MAE）和均方根误差（RMSE）分别提高0.06 ℃和0.09 ℃。研究表明,利用随机森林模型反演近地表气温是可行的,并且具有一定的优越性。此外,对随机森林模型的输入参数进行重要性分析,地表温度对气温反演模型的影响最大,其次为高程。     

Application of artificial bee colony algorithm in Rayleigh wave inversion

In order to solve the problems of multi-parameter, multi-extreme and multi-solution in the nonlinear iterative optimization process of Rayleigh wave inversion, the artificial bee colony(ABC)algorithm is selected for global nonlinear inversion. The global nonlinear inversion method does not rely on a strict initial model and does not need to calculate the derivative of the objective function. The ABC algorithm uses the local optimization behavior of each individual artificial bee to finally highl...