浙西石煤产区放射性污染及防治对策

浙江西部山区石煤资源丰富，广泛地被应用于石煤制品的生产和用做部分电厂、山区农村的燃料。石煤中U、Th等放射性核素含量高，致使部分石煤及其制品中U、Th等放射性核素含量偏高。U、Th是Rn的母体元素，衰变后不断释放出氡气，导致石煤产区居室内氡浓度和居民年辐射剂量当量严重超标，危害人体健康。本文在分析该区部分石煤产区、石煤制品、石煤电厂以及居室中的放射性元素污染的基础上，提出了相应的防治措施。     

大兴安岭浅覆盖区生态地质评价方法初探——以1∶25万区调呼中镇幅为例

通过野外调查，在收集统计大量基础地质、经济地质、环境地质、旅游地质、农(林)业地质等数据信息的基础上，在GIS技术指导下，采用定量定性相结合的半定量分析评价方法，对森林浅覆盖区生态地质现状及各类资源的开发利用潜力进行了综合评价。在研究和探讨森林浅覆盖区生态地质综合评价方法的基础上，提出了森林浅覆盖区生态地质评价模型，确定了综合参数，划分了生态地质类型。     

抽放瓦斯定向钻孔施工技术的研究

介绍了抽放瓦斯定向钻孔施工技术的主要设备、钻具及仪器，组合钻具及钻进工艺参数，并通过几个工程实例，说明了该项技术的应用效果。     

陕西彬县大佛寺D4钻孔勘察地球化学研究

运用烃类勘察地球化学方法，对鄂尔多斯盆地南部彬县大佛寺井田钻遇中休罗统煤层的耽钻孔，进行了垂向剖面多指标的综合地球化学研究。结果表明：剖面中所有岩样中的烃类物质均为热解烃生成初期演化阶段的煤成烃产物，具明显的同一性；由煤层至地表黄土，所有岩样中的烃类呈明显的、规律性垂直向上运移。这证实地下煤层烃类在近地表具有很好的地球化学信息显示，利用勘察地球化学方法找煤／煤层气是可行的。     

碳酸盐岩潜山储层垂向分带及油气藏流体分布规律

从古岩溶形成的基本条件出发，提出可溶性岩石和具溶蚀性的流动水是岩溶发育的基本条件，古岩溶与古风化壳常共生．受储层结构的非均质性、构造圈闭分割性、流体分布不完善性及高地温场等因素影响，流体在古潜山奥陶系储层的分布很复杂，孔、洞、缝发育程度及搭配好坏是决定油气产量的核心，圈闭条件与流体分布也密切相关．     

水化学指标表示裘布依公式的应用

从多矿物溶解化学动力学方程出发,推演并建立了由水化学指标表示的承压二维井流裘布依公式。结合水文地质、水文地球化学特征,列举了水文地质单元内不同区带、各种代表性矿物及相应组分化学指标的基本表达式。以山西省太原西峪煤矿所需解决的水文地质问题为例进行了定量研究与评价,其结果与已有的抽水试验资料接近,为矿井涌水量的评价开辟了一条新的道路。从事实上进一步论证了水化学指标表示裘布依公式的理论概括是正确的。     

京珠高速公路小塘至甘塘段煤系地层路堑高边坡稳定性分析与防治

京珠高速公路粤境小塘至甘塘段20m以上高度的煤系地层路堑边坡共计11处。岩层以全—强风化层为主,厚度20～40m,其物理力学性质大大降低,边坡可能发生平面破坏和圆弧破坏等2种破坏模式。部分地下水水质中SO2-4含量大于200mg l,具有强烈的硫酸盐侵蚀性。边坡防治对策应在详细勘察工程地质、水文地质的基础上,合理选用设置山坡截水沟、平台截水沟、泄水洞、边坡渗沟、排水仰孔等防、排水措施,减少地表水渗入坡体,疏干边坡表层地下水。     

浅水方程数值计算方法的研究

求解以水位为变量的连续方程,并根据Navier-Stokes方程压力修正算法的基本思想,建立了浅水方程的水位修正算法,放宽了对离散时间步长的限制.通过对离散方程系数矩阵的重新构造,建立了高分辨率有限元格式,该格式既具有较高的离散精度又避免了数值解的伪振荡.对动量方程的阻力项做负坡线性化处理,提高了露滩计算的稳定性.数值模拟结果与解析解吻合良好,表明所建立的数值计算方法是正确的和可靠的.     

Synthesis of zeolites using fly ash and their application in removing heavy metals from waters

Fly ash is the solid waste of thermal power plants where coal is used as fuel, and its management and utilization have been of environmental concern for decades. Since the technique of synthesizing zeolite from coal fly ash was introduced by Holler[1] (19…     

Testing a model for predicting the timing and location of shallow landslide initiation in soil‐mantled landscapes

The growing availability of digital topographic data and the increased reliability of precipitation forecasts invite modelling efforts to predict the timing and location of shallow landslides in hilly and mountainous areas in order to reduce risk to an ever‐expanding human population. Here, we exploit a rare data set to develop and test such a model. In a 1·7 km² catchment a near‐annual aerial photographic coverage records just three single storm events over a 45 year period that produced multiple landslides. Such data enable us to test model performance by running the entire rainfall time series and determine whether just those three storms are correctly detected. To do this, we link a dynamic and spatially distributed shallow subsurface runoff model (similar to TOPMODEL) to an in?nite slope model to predict the spatial distribution of shallow landsliding. The spatial distribution of soil depth, a strong control on local landsliding, is predicted from a process‐based model. Because of its common availability, daily rainfall data were used to drive the model. Topographic data were derived from digitized 1 : 24 000 US Geological Survey contour maps. Analysis of the landslides shows that 97 occurred in 1955, 37 in 1982 and ?ve in 1998, although the heaviest rainfall was in 1982. Furthermore, intensity–duration analysis of available daily and hourly rainfall from the closest raingauges does not discriminate those three storms from others that did not generate failures. We explore the question of whether a mechanistic modelling approach is better able to identify landslide‐producing storms. Landslide and soil production parameters were ?xed from studies elsewhere. Four hydrologic parameters characterizing the saturated hydraulic conductivity of the soil and underlying bedrock and its decline with depth were ?rst calibrated on the 1955 landslide record. Success was characterized as the most number of actual landslides predicted with the least amount of total area predicted to be unstable. Because landslide area was consistently overpredicted, a threshold catchment area of predicted slope instability was used to de?ne whether a rainstorm was a signi?cant landslide producer. Many combinations of the four hydrological parameters performed equally well for the 1955 event, but only one combination successfully identi?ed the 1982 storm as the only landslide‐producing storm during the period 1980–86. Application of this parameter combination to the entire 45 year record successfully identi?ed the three events, but also predicted that two other landslide‐producing events should have occurred. This performance is signi?cantly better than the empirical intensity–duration threshold approach, but requires considerable calibration effort. Overprediction of instability, both for storms that produced landslides and for non‐producing storms, appears to arise from at least four causes: (1) coarse rainfall data time scale and inability to document short rainfall bursts and predict pressure wave response; (2) absence of local rainfall data; (3) legacy effect of previous landslides; and (4) inaccurate topographic and soil property data. Greater resolution of spatial and rainfall data, as well as topographic data, coupled with systematic documentation of landslides to create time series to test models, should lead to signi?cant improvements in shallow landslides forecasting. Copyright © 2003 John Wiley & Sons, Ltd.