北斗/GPS双模分体式地震观测授时终端的研制

对当前地震观测仪器的授时技术现状进行阐述,统计并分析测震观测仪器授时终端的缺陷,针对性地提出基于北斗/GPS双模的分体式授时终端的设计,并通过硬件设计制作与软件功能调试,实现与地震数据采集仪器的成功对接.在地震台站试运行期间对所记录地震事件的测试结果验证了授时终端的校时准确性,设计达到预期效果.     

五酸溶样-电感耦合等离子体质谱法同时测定地质样品中的稀土等28种金属元素

电感耦合等离子体质谱法(ICP-MS)测定大批量地质样品中的稀土和钴铪铟锰铌钽铊铬镉镓锗钒锡等金属元素,主要采用三酸或四酸溶解样品.由于地质样品组分复杂,稀土等金属元素含量低,各元素性质差异大,三酸或四酸溶样经常出现易挥发元素如钒铬镉镓锡的测定结果不稳定、镧铈镨钕等稀土元素溶解不完全的问题.本文在盐酸-硝酸-氢氟酸-高...     

Effects of periodically varying codes on separation of multisource blended data

Current exploration needs are satisfied by multisource technology,which offers low cost,high efficiency,and high precision.The delay time,which determines the s...     

基于不同摩擦系数水平的滑移隔震体系的相对输入能量与绝对输入能量的差异性分析

定义了能量变化率指标,以简谐激励作用下的滑移隔震结构为例,探讨了摩擦系数对滑移隔震结构能量变化率指标的影响,通过对这些能量指标的研究,分析了系统的相对输入能量和绝对输入能量的差异性随摩擦系数的变化规律,为后续研究提供理论依据。     

东太湖浮游植物与浮游动物群落的嵌套性及其互作网络的季节特征

浮游生物主要由浮游植物和浮游动物组成,是湖泊生态系统的重要组分.嵌套性结构及物种间的互作关系对群落的分布格局、功能乃至稳定性都具有重要意义,然而到目前为止,我们对此仍知之甚少.为此,本研究以东太湖为研究区域,在2019-2020年期间进行了春、夏、秋、冬季的观测调查,根据浮游生物群落的组成和多样性特征,结合群落分布矩阵和二分网模型研究浮游生物的嵌套性格局及其互作关系,并探讨其驱动机制.结果显示:(1)在时间上,春、秋、冬季水体的理化特征较为相似,但与夏季的水质差异显著.在空间上,西南部区域的综合污染指数显著高于东北部;(2)环境异质性使得浮游植物呈现出明显的嵌套性分布,即秋、冬季群落是春、夏季群落的子集.然而,浮游动物并未呈现该分布特征;(3)浮游生物的互作关系具有明显的季节特征:冬季的互作网络组成最简单,物种竞争最激烈,物种的特异性关系、物种脆弱性和一般性最小,说明浮游生物群落的稳定性在冬季最弱.综上所述,水环境的时空差异性造成的生态位分离可能是造成浮游生物嵌套性及其互作网络季节性变化的主要机制.     

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.     

Precipitation‐runoff processes in Shimen hillslope micro‐catchment of Taihang Mountain,north China

Precipitation runoff is a critical hillslope hydrological process for downslope streamflow and piedmont/floodplain recharge. Shimen hillslope micro‐catchment is strategically located in the central foothill region of Taihang Mountains, where runoff is crucial for water availability in the piedmont corridors and floodplains of north China. This study analyzes precipitation‐runoff processes in the Shimen hillslope micro‐catchment for 2006–2008 using locally designed runoff collection systems. The study shows that slope length is a critical factor, next only to precipitation, in terms of runoff yield. Regression analysis also shows that runoff is related positively to precipitation, and negatively to slope length. Soil mantle in the study area is generally thin and is therefore not as critical a runoff factor as slope length. The study shows a significant difference between overland and subsurface runoff. However, that between the 0–10 and 10–20 cm subsurfaces is insignificant. Runoff hardly occurs under light rains (<10 mm), but is clearly noticeable under moderate‐to‐rainstorm events. In the hillslope catchment, vertical infiltration (accounting for 42–84% of the precipitation) dominates runoff processes in subsurface soils and weathered granite gneiss bedrock. A weak lateral flow (at even the soil/bedrock interface) and the generally small runoff suggest strong infiltration loss via deep percolation. This is critical for groundwater recharge in the downslope piedmont corridors and floodplains. This may enhance water availability, ease water shortage, avert further environmental degradation, and reduce the risk of drought/flood in the event of extreme weather conditions in the catchment and the wider north China Plain. Copyright © 2011 John Wiley & Sons, Ltd.     

An analytical solution for describing the transient temperature distribution in an aquifer thermal energy storage system

A mathematical model is developed for predicting the temperature distribution in an aquifer thermal energy storage (ATES) system, which consists of a confined aquifer bounded from above and below by the rocks of different geological properties. The main transfer processes of heat include the conduction and advection in the aquifer and the conduction in the rocks. The semi‐analytical solution in dimensionless form for the model is developed by Laplace transforms and its corresponding time‐domain solution is evaluated by the modified Crump method. Field geothermal property data are used to simulate the temperature distribution in an ATES system. The results show that the heat transfer in the aquifer is fast and has a vast effect on the vicinity of the wellbore. However, the aquifer temperature decreases with increasing radial and vertical distances. The temperature in the aquifer may be overestimated when ignoring the effect of thermal conductivity. The temperature distribution in an ATES system depends on the vertical thermal conduction in the rocks and the horizontal advection and thermal conduction in the aquifer. The present solution is useful in designing and simulating the heat injection facility in the ATES systems. Copyright © 2010 John Wiley & Sons, Ltd.     

Numerical analysis of the effect of natural microcracks on the supercritical CO2 fracturing crack network of shale rock based on bonded particle models

The problem of predicting the geometric structure of induced fractures is highly complex and significant in the fracturing stimulation of rock reservoirs. In the traditional continuous fracturing models, the mechanical properties of reservoir rock are input as macroscopic quantities. These models neglect the microcracks and discontinuous characteristics of rock, which are important factors influencing the geometric structure of the induced fractures. In this paper, we simulate supercritical CO₂ fracturing based on the bonded particle model to investigate the effect of original natural microcracks on the induced‐fracture network distribution. The microcracks are simulated explicitly as broken bonds that form and coalesce into macroscopic fractures in the supercritical CO₂ fracturing process. A calculation method for the distribution uniformity index (DUI) is proposed. The influence of the total number and DUI of initial microcracks on the mechanical properties of the rock sample is studied. The DUI of the induced fractures of supercritical CO₂ fracturing and hydraulic fracturing for different DUIs of initial microcracks are compared, holding other conditions constant. The sensitivity of the DUI of the induced fractures to that of initial natural microcracks under different horizontal stress ratios is also probed. The numerical results indicate that the distribution of induced fractures of supercritical CO₂ fracturing is more uniform than that of common hydraulic fracturing when the horizontal stress ratio is small.