苏北玄武岩分布区滑坡研究与防治

在苏皖交界处的盱眙、六合新生代玄武岩分布区,滑坡灾害十分发育,给当地经济建设和人民生活带来了较大危害。通过分析滑坡类型、地质特征和活动规律,提出了防治灾害的具体措施。     

杨山末站滑坡稳定性研究及治理措施

论述了杨山末站滑坡的形成条件、形成机理和滑体的工程地质特征．该滑体内存在着两个潜在的滑动破坏面。通过稳定性的定量计算与定性分析可知,坡体上的大裂缝与地下水变动带在开挖坡脚处剪出联合组成的滑面稳定性最差,此滑坡将来的滑动破坏剪出口将在开挖坡脚附近产生．根据滑坡体的特征,提出了场地的合理利用方案与整治措施．     

雾化雨诱发岩质边坡失稳的机理

文中谈到雾化雨及其诱发边坡失稳的过程,并模拟分析了边坡失稳的机理。     

攀钢石灰石矿滑坡机制及防治措施研究

针对攀钢石类石矿生产过程中产生的滑坡,分析滑坡的地质背景,滑坡的产生机制及原因,产一生产实际提出防治措施,以保证生产安全。     

Mechanism of creep movement caused by landslide activity and underground erosion in crystalline schist, Shikoku Island, southwestern Japan

The mechanism of creep movement of the Zentoku landslide in crystalline schist has not been studied in detail because of the steepness of the slope, very slow movement, low population density and complex topographic and geologic characteristics. Sassa et al. (1980: Proc. INTERPRAEVENT 1, 85–106) and Sassa (1984: Proc. 4th International Symp. on Landslides, Toronto, vol. 2, pp. 179–184; 1985. Geotechnical classification of landslides, Proc. 4th International Conference and Field Workshop on Landslides, Tokyo, pp. 31–40; 1989: Landslide News, Japan Landslide Society, No. 3, pp. 21–24) monitored landslide movement and groundwater level at the Zentoku landslide on Shikoku Island, southwestern Japan, and suggested that the mechanism may be caused by underground erosion. To study the influence of underground erosion at this site, continual monitoring of suspended sediment and water discharge from a groundwater outlet (i.e. a spring) was implemented. The locations of groundwater flow paths were determined, as were the amounts of discharged sediment. Slope deformation was monitored by means of a borehole inclinometer. The conclusions were as follows: (1) the flow paths were found to be on or above the shear zones in which underground erosion has occurred; (2) in addition to being a result of precipitation and groundwater discharge, sediment discharge is affected by landslide activity; and (3) the mechanism of creep movement is an interrelated chain process that combines underground erosion caused by landslide activity with landslide activity caused by underground erosion. Thus, landslide activity increases erosion susceptibility and transportation of soils within the mass, and underground erosion causes instability of the landslide mass, in turn.

This mechanism can explain the observed phenomenon that the Zentoku landslide not only moves actively during heavy rain, but also continues to creep throughout the year.     

基于小波变换的SA误差建模与预报

运用小波分析方法对GPS单点动态定位误差进行分解,提出了基于小波变换的信号去噪与粗差的定位和剔除方法。将时间序列分析方法用于SA误差建模,提出了基于小波变换的SA误差建模及预报方法,并通过实例验证了方法的正确性     

西藏帕里河2004-06-22滑坡卫星监测

2004-06-22滑坡位于我国西藏自治区的最西端,中印边界附近的帕里河流域中部。以多时相高分辨率卫星图像为信息源,以Orbview立体像对制作的高精度DEM为地理控制,采用数字滑坡技术研究和监测该滑坡自滑坡前至2007年7月的活动。遥感解译表明,滑坡前该处为由弧形裂缝与山体分割的滑前危岩,2004-06-22发生的堵河事件为一高速顺层基岩滑坡,基于RS+GIS求得滑坡体积为63。7万m3。遥感监测显示自2004年9月至2007年7月共35个月内,滑坡边界及滑面各细部均没有明显变化,期间该处未见发生过任何新的滑坡活动。该滑坡是一次在新构造活动强烈的高山峡谷区自然形成的重力侵蚀活动过程,能量释放充分,近期除原滑体四周有一些泄荷及调整活动外不会有大的活动。     

Discriminant analysis of the geomorphic characteristics and stability of landslide dams

Landslides can cause the formation of dams, but these dams often fail soon after lake formation. Thus, rapidly evaluating the stability of a landslide dam is crucial for effective hazard mitigation. This study utilizes discriminant analysis based on a Japanese dataset consisting of 43 well documented landslide dams to determine the significant variables, including log-transformed peak flow (or catchment area), and log-transformed dam height, width and length in hierarchical order, which affect the stability of a landslide dam. The high overall prediction power (88.4% of the 43 training cases are correctly classified) and the high cross-validation accuracy (86%) demonstrate the robustness of the proposed discriminant models PHWL (with variables including log-transformed peak flow, and log-transformed dam height, width and length) and AHWL (with variables including log-transformed catchment area, and log-transformed dam height, width and length). Compared to a previously proposed “DBI” index-based graphic approach, the discriminant model AHV – which uses the log-transformed catchment area, dam height, and dam volume as relevant variables – shows better ability to evaluate the stability of landslide dams. Although these discriminant models are established using a Japanese dataset only, the present multivariate statistical approach can be applied for an expanded dataset without any difficulty when more completely documented worldwide landslide-dam data are available.     

Sediment dispersal and deposition due to sand mining in the coastal waters of Korea

Understanding the impact of marine sand mining operations in a complex coastal environment requires a combined observational and modeling approach. Here, we use field measurements collected during mining operations in Kyunggi Bay, Korea to develop sediment parameters and source conditions for a three-dimensional (3D) sediment transport model built on the Regional Ocean Modeling System (ROMS). The model is run with realistic forcing obtained from a 9 km meteorological model, tides, and river discharges. The resulting vertical and horizontal distributions of sediment show encouraging agreement with the field data, demonstrating markedly different dispersal patterns due largely to the differential settling of the various sand classes. The resulting depositional patterns suggest that only the coarser size classes (500 and 250 μm) particles remain close to the mined site, while finer size classes are widely dispersed. These results suggest that this new methodology of multi-size class, 3D sediment transport modeling is quite promising, and further work is ongoing to include more realistic representation of sediment resuspension processes.     

Simulation of food intake dynamics of holometabolous insect using functional link artificial neural network

Neural networks are universal approximators for nonlinear functions. This study aimed to develop an algorithm for functional link artificial neural network (FLANN), and to simulate insect’s food intake dynamics using the algorithm. Complete Matlab codes for FLANN algorithm were given in the paper. Conventional models and FLANN were used to modeling accumulated food intake of the larva of a holometabolous insect, Spodoptera litura. Simulation performance of FLANN was compared against conventional models and sensitivity analysis was conducted on FLANN. The results showed that the FLANN algorithm performed better than conventional models in the simulation of dynamics and temperature–time dependent relationship of larva’s food intake. The conventional models like fractional function, polynomial function, and exponential function were indicated to simulate the food intake dynamics at a higher accuracy but their performances were worse than FLANN. Both multivariate linear regression and trend surface model were used to describe temperature–time dependent relationship of food intake. The overall trend for this relationship could be simulated using these models, however, the simulation accuracy of these models was lower than FLANN. Sensitivity analysis showed that Legendre functions, Chebyshov functions, and trigonometric functions, used as the basis functions in FLANN, yielded better fitness than Laguerre functions and Hermite functions. The mean squared error of simulation using Legendre functions, Chebyshov functions, and trigonometric functions decreased as the increase of the number of these basis functions. Simulation performance also varied with the change of type of nonlinear functions and parameter values in the function. Linear function, negative exponential function and power function were the best nonlinear functions, which yielded more stable outputs as the change of parameter values.