滑带土粘土矿物定向性的x射线衍射及其对滑坡的作用

本文首先论述了粘土矿物颗粒定向排列测定的基本原理并提出粘土矿物定向性定量评价方法,然后根据实例—庙上北滑坡的滑带土粘土矿物的X射线衍射结果,进行定向性定量分析计算,得出滑带土粘土矿物颗粒的定向度为弱到中等定向,并以中等定向为主。因而在水的往返作用下,滑带土具一定的胀缩性及胀缩的不均匀性,再加上粘土矿物本身亦具有的胀缩性及胀缩的可逆性和循环性,故导致滑带土抗剪强度和结构强度不断降低,大大影响斜坡的稳定性。     

Risk analysis of landslides – A case study

The effects of uncertainty due to the variability of soil parameters on the risk of landsliding in the Himalayan region are investigated using a random field model combined with slope stability analyses. Effects of spatial variability both in horizontal and vertical directions, number of test samples, variations in piezometric level and the influence of earthquake on the reliability of a typical slope in a slide area are investigated. The results show that the reliability of slopes in the slide area is significantly affected by the coefficients of variation of soil parameters, spatial variations of soil parameters, number of test samples and piezometric variations. The results also show that the assumption of isotropic variations to assess slope reliability isconservative. The results of the study are useful in providing guidelines and pointing to remedial measures in the form of sub-surface drainage to improve slope reliability in the area.     

Is Prediction of Future Landslides Possible with a GIS?

This contribution explores a strategy for landslide hazard zonation inwhich layers of spatial data are used to represent typical settings inwhich given dynamic types of landslides are likely to occur. Theconcepts of assessment and prediction are defined to focus on therepresentation of future hazardous events and in particular on themyths that often provide obstacles in the application of quantitativemethods. The prediction rate curves for different applications describethe support provided by the different data layers in experiments inwhich the typical setting of hazardous events is approximated bystatistically integrating the spatial information.     

Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

The objective of this paper is to evaluate the importance of geomorphological expert knowledge in the generation of landslide susceptibility maps, using GIS supported indirect bivariate statistical analysis. For a test area in the Alpago region in Italy a dataset was generated at scale 1:5,000. Detailed geomorphological maps were generated, with legends at different levels of complexity. Other factor maps, that were considered relevant for the assessment of landslide susceptibility, were also collected, such as lithology, structural geology, surficial materials, slope classes, land use, distance from streams, roads and houses. The weights of evidence method was used to generate statistically derived weights for all classes of the factor maps. On the basis of these weights, the most relevant maps were selected for the combination into landslide susceptibility maps. Six different combinations of factor maps were evaluated, with varying geomorphological input. Success rates were used to classify the weight maps into three qualitative landslide susceptibility classes. The resulting six maps were compared with a direct susceptibility map, which was made by direct assignment of susceptibility classes in the field. The analysis indicated that the use of detailed geomorphological information in the bivariate statistical analysis raised the overall accuracy of the final susceptibility map considerably. However, even with the use of a detailed geomorphological factor map, the difference with the separately prepared direct susceptibility map is still significant, due to the generalisations that are inherent to the bivariate statistical analysis technique.     

地质灾害勘查的地球物理方法及其发展趋势

地质灾害的勘查是地质灾害评估、灾害治理方案设计、防治工程实施的重要保证，其中物探技术可以发挥重要作用。近年来，物探勘探技术在此方面的实验研究工作发展迅速，本文对这种新的应用技术进行了简要的综述，以利于地质灾害勘查工作的进一步发展。     

Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain

A procedure for validating landslide susceptibility maps wasapplied in a study area in northern Spain and the results obtained compared. Validationwas used to carry out sensitivity analysis for individual variables and combinationsof variables. The validity of different map-making methods was tested, as well as theutility of different types of Favourability Functions. The results obtained show thatvalidation is essential to determine the predictive value of susceptibility maps. Italso helps to better select the most suitable function and significant variables, thus improving the efficiency of the mapping process. Validation based on a temporal strategy makes it possible to derive hazard maps from susceptibility maps.     

水稻低温冷害遥感监测技术与方法进展

根据国内外水稻低温冷害遥感监测和遥感灾损评估研究进展情况，分析了水稻低温冷害遥感监测的可行性和各种方法的优缺点，提出了低温冷害遥感监测方面需要开展的相关研究领域和需要解决的几个问题。     

日光温室低温寡照灾害指标

文章根据1965～2000年河北省日光温室试验观测资料及各地历年低温寡照对蔬菜的影响程度，确定了低温寡照灾害等级指标，分析了低温寡照的时空分布规律，20世纪80年代以后，河北省各市低温寡照发生次数比60、70年代明显增多；随着纬度增高，河北省低温寡照发生次数明显减少，危害程度明显减轻。     

中国西南低空急流活动的统计分析

参照北美研究低空急流气候特征的方法，对中国低空急流进行重新定义，实现了低空急流定义的统一，并在此基础上对低空急流活动特征进行了分析。结果表明：中国低空急流主要有两个活动中心，分别位于江南地区和东北地区；江南地区的低空急流活动主要有两个活跃期，分别为1-4月和6-7月；东北地区的低空急流活动主要表现为2月、8-9月两个活动较弱期；江南地区的低空急流主要在6-8月表现出独立的急流轴，东北地区则主要在8月份；汛期低空急流活动与长江流域区域性暴雨有伴随性，多雨年急流次数很多，少雨年则很少；长江中下游及两湖盆地附近急流活动有明显的日变化。     

塑膜温室油桃休眠期的温度变化

本文详尽分析了冰岛低压和大西洋高压的长期变化规律，发现两者均具有明显的阶段性变化，而且冰岛低压和大西洋高压的强度具有明显的反相关。同时，还分析了大西洋高压和冰岛低压与我国气候的关系，发现大西洋高压与我国冬季气温基本呈正相关，而冰岛低压与我国气温大致呈反相关，但均没有显著影响，所以两者都不是影响我国气候变化的重要天气系统。