合成平面波数据的Rytov近似叠前深度偏移

作者把Berkhout(1992)提出的合成平面波技术应用于线性Rytov近似叠前深度偏移，提高了波动方程叠前深度偏移的计算效率。通过在Marmousi模型数据试验，我们认为在达到基本相同成像效果的条件下，利用合成平面波技术的波动方程叠前深度偏移相对于基本共炮集数据的波动方程叠前深度偏移可提高计算效率约10倍。     

盾构施工引起的地表横向沉降槽分析

基于龙东路-世纪公园站区间隧道现场实测资料,对由盾构施工引起的沉降槽的形状进行了深入研究。首先绘出埋深不同的沉降槽的实测形状;再利用数学拟合方法对沉降槽的形状、影响范围、宽度系数及最大沉降量出现的位置进行的研究,指出它们均与隧道的埋深有着密切的关系;最后,用统计学的方法给出隧道埋深与最大沉降量以及沉降槽宽度系数与隧道埋深之间的定量关系式。     

瞬变电磁测深法的研究深度

研究发现,瞬变测深法研究深度除了与采样时间(采样间隔,起始和终止采样时间等)有关外,还与信号源强度、大地电导率、系统噪音水平以及仪器观测精度等因素有关,文中对研究深度与这些量之间的关系作了数学描述。     

甘肃大水二长岩类特征、结晶条件与侵位深度

对大水地区(石英)二长岩类的岩石学研究表明,忠格扎拉、忠曲和格尔括合岩体及周围的脉岩是同源岩浆演化的产物。尽管它们结晶的温度条件相似(约700℃~800℃),但侵位深度有明显的差别,西部忠格扎拉岩体最深(20km~22km),中部忠曲岩体次之(16km),东部格尔括合岩体最浅(8km~11km),并且后二者具有次火山岩的性质。这说明浅成岩浆对金矿的形成最为有利,这就是为什么在格尔括合和忠曲岩体附近形成了大型金矿床,而在忠格扎拉岩体周围仅找到金矿点的主要原因。      

Response of groundwater chemistry to water deliveries in the lower reaches of Tarim River,Northwest China

In this paper, we analysed the monitored data from nine groundwater-monitoring transects in the lower reaches of Tarim River during the five times of stream water deliveries to the river transect where the stream flow ceased. The results showed that the groundwater depth in the lower reaches of Tarim River rose from −9.30 m before the conveyances to −8.17 and −6.50 m after the first and second conveyances, −5.81 and −6.00 m after the third and fourth the conveyance, and −4.73 m after the fifth. The horizontal extent of groundwater recharge was gradually enlarged along both sides of the channel of conveyance, i.e., from 250 m in width after the first conveyance to 1,050 m away from the channel after the fourth delivery. With the rising groundwater level, the concentrations of major anions Cl⁻, SO₄²⁻ and cations Ca²⁺, Mg²⁺, Na⁺, as well as total dissolved solids (TDS) in groundwater underwent a significant change. The spatial variations in groundwater chemistry indicated that the groundwater chemistry at the transect near Daxihaizi Reservoir changed earlier than that farther from it. In the same transect, the chemical variations were earlier in the monitoring well close to watercourse than that farther away from the stream. In general, the concentration of the major ions and TDS at each monitoring well increased remarkably when the water delivery started, and decreased with the continued water delivery, and then increased once again at the end of the study period. Hence, the whole study period may be divided into three stages: the initial stage, the intermediate stage and the later stage. According to the three stages of groundwater chemistry reaction to water delivery and the relationships between groundwater chemical properties and groundwater depths, we educe that under the situation of water delivery, the optimum groundwater depth in the lower reaches of the Tarim River should be −5 m.     

Spatial Variability of Rock Depth in Bangalore Using Geostatistical, Neural Network and Support Vector Machine Models

Geospatial technology is increasing in demand for many applications in geosciences. Spatial variability of the bed/hard rock is vital for many applications in geotechnical and earthquake engineering problems such as design of deep foundations, site amplification, ground response studies, liquefaction, microzonation etc. In this paper, reduced level of rock at Bangalore, India is arrived from the 652 boreholes data in the area covering 220 km². In the context of prediction of reduced level of rock in the subsurface of Bangalore and to study the spatial variability of the rock depth, Geostatistical model based on Ordinary Kriging technique, Artificial Neural Network (ANN) and Support Vector Machine (SVM) models have been developed. In Ordinary Kriging, the knowledge of the semi-variogram of the reduced level of rock from 652 points in Bangalore is used to predict the reduced level of rock at any point in the subsurface of the Bangalore, where field measurements are not available. A new type of cross-validation analysis developed proves the robustness of the Ordinary Kriging model. ANN model based on multi layer perceptrons (MLPs) that are trained with Levenberg–Marquardt backpropagation algorithm has been adopted to train the model with 90% of the data available. The SVM is a novel type of learning machine based on statistical learning theory, uses regression technique by introducing loss function has been used to predict the reduced level of rock from a large set of data. In this study, a comparative study of three numerical models to predict reduced level of rock has been presented and discussed.     

红层泥质胶结物干缩裂缝深度与间距预测模型

红层泥质胶结物在干燥条件下会因含水率变化产生开裂,裂缝进一步发展贯通最终导致红层泥岩崩解破坏。目前对红层泥岩崩解机制的研究多为定性描述,缺乏定量分析方法。因此,定量研究红层泥质胶结物开裂的产生及扩展对深化红层泥岩崩解理论研究具有重要意义。基于线弹性断裂力学及非饱和土力学,建立了考虑含水率变化的红层泥质胶结物裂缝深度及间距计算公式,并对公式参数敏感性进行了分析。应用CT试验数据对PFC2D数值模型进行了校准,并基于干缩开裂数值试验结果,对裂缝深度及间距计算公式进行了对比验证。结果表明：提出的计算公式能较好地预测红层泥质胶结物的开裂深度及间距,裂缝深度随含水率减小呈先快速增加再缓慢增长的特点。研究成果有助于加深对红层泥岩崩解的量化理论分析,并为预测工程中红层泥岩的开裂程度提供参考。     

The relationship between groundwater and natural vegetation in Qaidam Basin

To accurately evaluate ecological risks trigged by groundwater exploitation, it must be clarified the relationship between vegetation and groundwater. Based on remote sensing data sets MOD13Q1, groundwater table depth (WTD) and total dissolved solids (TDS), the relationship between groundwater and natural vegetation was analyzed statistically in the main plain areas of Qaidam Basin. The results indicate that natural vegetation is groundwater-dependent in areas where WTD is less than 5.5 m and TDS is less than 7.5 g/L. Aquatic vegetation, hygrophytic vegetation and hygrophytic saline-alkali tolerant vegetation are mainly distributed in areas with WTD <1.1 m. Salt-tolerant and mesophytic vegetation mainly occur in areas with WTD of 1.4-3.5 m, while the xerophytic vegetation isprimarily present in areas where WTD ranges from 1.4 m to 5.5 m. Natural vegetation does not necessarily depend on groundwater in areas with WTD >5.5 m. For natural vegetation, the most suitable water TDS is less than 1.5 g/L, the moderately suitable TDS is 1.5-5.0 g/L, the basically suitable TDS is 5.0-7.5 g/L, and the unsuitable TDS is more than 7.5 g/L.     

时间域航空电磁系统探测深度研究

时间域航空电磁系统探测深度与采样时间、发射磁矩、大地电导率、仪器背景噪声和灵敏度等诸多因素相关。本文基于时间域航空电磁一维正演对时间域航空电磁系统探测深度进行研究。正演算法从麦克斯韦方程出发,结合准静态近似条件,得到一维层状介质上空中心回线频率域电磁场响应的垂直分量,并采用汉克尔积分进行计算,进而通过时-频变换获得时间域电磁场响应。探测深度研究参考仪器背景噪声水平,通过设定最小可识别信号阈值（本文设定为系统背景噪声三倍）获取最大可探测分离时间,进而利用该分离时间结合平均电导率求取最大探测深度。最后本文以VTEM系统为例,对不同层状介质模型以及不同发射磁矩、背景噪声、发射脉宽和飞行高度下的时间域航空电磁系统最大探测深度进行分析和讨论。     

刚性桩复合地基中性面深度与桩土应力比计算

刚性桩复合地基中性面深度及桩土应力比的简化计算主要基于桩侧摩阻力线性分布假设,当桩身较长时,桩端侧摩阻力的计算值会远大于实际值,致使中性面深度及桩土应力比的计算结果与实际差别较大,故有必要对线性分布模式予以修正。据此将桩侧摩阻力分布简化为分段线性模式,考虑负摩阻力作用及桩上、下刺入变形,根据褥垫层-桩-土变形协调关系推导了刚性桩复合地基中性面深度、桩顶面桩土应力比、中性面桩土应力比计算公式。最后通过模型试验与工程实例验证,计算值与实测值吻合较好。