热害矿井巷道温度场分布规律研究

为解决深部开采带来的热害问题，基于地质学和热力学理论，建立了热害矿井巷道温度场的数学模型，研究了巷道内部温度场随埋深和通风热速的变化规律。计算结果表明，巷道温度场对埋深的敏感度要高于风速、温度随埋深的增加而呈阶段性递增。控制入口温度是解决矿井热害的关键。以上结论为矿井热害的综合治理提供了重要依据。     

金沙江某水电站库区泥石流地质灾害研究

金沙江是我国水能资源最为丰富的江河之一，但在金沙江上修建水库，泥石流是经常遇到的地质灾害问题。文章在详细调查了库区地层岩性、构造、滑坡的前提下，结合金沙江某水库区泥石流发育与降雨、地层岩性、构造、滑坡及地形地貌的关系深入探讨了库区泥石流的类型、规模、特征及发育阶段。研究表明：(1)本库区泥石流活动历史久远，泥石流地质灾害活跃，在部分泥石流地质灾害衰退的同时，更多的泥石流沟在逐步形成：(2)水库蓄水，减小了泥石流沟的比降，会在一定程度上降低泥石流的活动性及破坏能力；(3)泥石流对水库的影响主要为输送泥沙，造成水库淤积。     

某滑坡坝溃坝可能性以及对下游拟建某电站影响分析

自然形成的滑坡坝很容易发生溃坝。通过对某滑坡坝溃坝情况计算表明：即使在溃坝情况下，也不会对下游人民生命财产和拟建某电站的安全运行构成威胁，也不会诱发别的地质灾害。     

宝鸡簸箕山滑坡地震勘探

宝鸡簸箕山滑坡是宝鸡市区的一个大型滑坡,危及许多市民及建筑的安全。为进一步了解滑坡体的细微结构及其滑面形态,中奥双方于1999年和2000年两次对簸箕山滑坡进行了地震勘探。本文详细介绍了地震勘探测线布设、各条测线的勘探及分析、解释结果,为该滑坡的科学治理提供了背景性参考资料。     

探地雷达检测中如何计算速度

雷达波的传播速度随介质而变,这给准确定位探测目标带来了一些困难,因为目标深度取决于速度与讯号反射时间的乘积.但另一方面,利用速度变化与介质的关系,反过来可以推断介质的物质架构.作者结合实用例举了7种求速度的方法,以供使用探地雷达的同行们选用.     

利用GIS进行地震滑坡分析

地震滑坡是由地震引发的一种十分严重的震害，它对人类生命财产所造成的损失是巨大的。地震滑坡事件是一个复杂的过程．影响因素多种多样，滑坡的形成机制十分复杂。为正确认识地震滑坡，以1920年宁夏海原大地震为例，利用GIS强大的空间分析功能，多角度、多层次地对地震滑坡的形成、发生、发展机制进行了研究。指出了用GIS技术研究地震烈度等对地震滑坡的影响作用、合理评价和预测某一地区地震滑坡发生的可能性。     

地震周期的存在及形成机制讨论

根据1900～2000年中国大陆、台湾及全球地层记录及前人的研究，论证了地层周期存在的可能性及形成机制。作者认为，是太阳活动、月球运动轨道及各行星运动轨道的周期性变化，通过磁力及万有引力改变地球内部物质的分布，从而引起地球自转速度的周期性变化，最终致使地展出现周期性的活跃期及平静期。     

Exploration and discovery in Yellowstone Lake: results from high-resolution sonar imaging, seismic reflection profiling, and submersible studies

‘No portion of the American continent is perhaps so rich in wonders as the Yellow Stone’ (F.V. Hayden, September 2, 1874)Discoveries from multi-beam sonar mapping and seismic reflection surveys of the northern, central, and West Thumb basins of Yellowstone Lake provide new insight into the extent of post-collapse volcanism and active hydrothermal processes occurring in a large lake environment above a large magma chamber. Yellowstone Lake has an irregular bottom covered with dozens of features directly related to hydrothermal, tectonic, volcanic, and sedimentary processes. Detailed bathymetric, seismic reflection, and magnetic evidence reveals that rhyolitic lava flows underlie much of Yellowstone Lake and exert fundamental control on lake bathymetry and localization of hydrothermal activity. Many previously unknown features have been identified and include over 250 hydrothermal vents, several very large (>500 m diameter) hydrothermal explosion craters, many small hydrothermal vent craters (1–200 m diameter), domed lacustrine sediments related to hydrothermal activity, elongate fissures cutting post-glacial sediments, siliceous hydrothermal spire structures, sublacustrine landslide deposits, submerged former shorelines, and a recently active graben. Sampling and observations with a submersible remotely operated vehicle confirm and extend our understanding of the identified features. Faults, fissures, hydrothermally inflated domal structures, hydrothermal explosion craters, and sublacustrine landslides constitute potentially significant geologic hazards. Toxic elements derived from hydrothermal processes also may significantly affect the Yellowstone ecosystem.     

Landslide susceptibility analysis using GIS and artificial neural network

The purpose of this study is to develop landslide susceptibility analysis techniques using an arti?cial neural network and to apply the newly developed techniques to the study area of Yongin in Korea. Landslide locations were identi?ed in the study area from interpretation of aerial photographs, ?eld survey data, and a spatial database of the topography, soil type and timber cover. The landslide‐related factors (slope, curvature, soil texture, soil drainage, soil effective thickness, timber age, and timber diameter) were extracted from the spatial database. Using those factors, landslide susceptibility was analysed by arti?cial neural network methods. The landslide susceptibility index was calculated by the back‐propagation method, which is a type of arti?cial neural network method, and the susceptibility map was made with a geographic information system (GIS) program. The results of the landslide susceptibility analysis were veri?ed using landslide location data. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide location. A GIS was used to ef?ciently analyse the vast amount of data, and an arti?cial neural network to be an effective tool to maintain precision and accuracy. The results can be used to reduce hazards associated with landslides and to plan land use and construction. Copyright © 2003 John Wiley & Sons, Ltd.     

京沈高速公路迁-滦连线龙山滑坡成因机理分析及治理

对龙山滑坡层状滑体的破坏模式进行了分析，采用Sarma法和直线滑面型边坡分析法对各个滑块进行了稳定性分析计算，结果准确。根据不同的工程地质条件，采用不同的工程措施进行治理，效果良好。