珠江三角洲地质灾害的模糊综合评价

珠江三角洲地质灾害种类的多样性与其所处的复杂地质环境和多变的气候条件密切相关。文章选用了地震活动、活动断裂、地壳升降运动、软土地基、地面塌陷以及冲、淤积等６个主要因素作为评价指标，并用模糊数学方法对珠江三角洲内１７个小区作了计算，结果表明该区大部分地区属于轻灾害区，只有滨海沿岸地区属于较重灾害区。     

山东全新世滨海软土与工程地质灾害的研究

山东全新世滨海软土分布在海湾、泻湖、河口区，厚度１－１０ｍ。海湾、泻湖软土为淤泥、淤泥质土，陆源物质供应丰富的浅水区，软土颗粒偏粗，强度相对较高，触变性对建筑物危害性大，陆源物质供应少的深水区，软土颗粒偏细，低强度、高压缩性、沉降变形大和蠕变性是危及建筑物稳定的主要因素。海湾、泻湖软土位于地下水位下，具低透水性，掩埋后短期不易排水固结，软土下为强度较高的冲积物，对一般建筑物，利用强夯、粉喷搅拌桩、     

广阔渠截潜引水工程浸没灾害研究

在搜集广阔渠截潜引水工程研究区地下水资源勘察和评价成果的基础上,经现场调研后,采用三维数值模拟对该区枯水期浸没灾害做了预测,并据此采用类比法对汛期浸没灾害做了初步评价,研究了不同季节和不同截渗墙长度的相应浸没范围大小和受灾对象,提出了减少浸没灾害和增大自流引水流量措施的建议,不仅对该工程截潜方案设计具有重要指导意义,而且对其他冲积平原区截潜工程方案设计也有一定的借鉴作用.     

红旗渠任村镇白家庄至尖庄段一带地质灾害体特征及其稳定性评价

红旗渠是举世文明的引水工程,全长4 013.6 km.红旗渠沿线地质条件极为复杂,地质灾害频繁发生.林州市任村镇白家庄至尖庄一带为本次工作的勘查区,勘查中共发现零星崩塌3处,崩塌带1处、沟谷泥石流3处.本文针对发现的地质灾害的类型、规模、形态等进行描述并给以稳定性评价.     

广东省五华县地质灾害形成特征及防治对策

五华县主要地质灾害类型有滑坡、崩塌、地面塌陷、水土流失等。其中以滑坡、崩塌为主,多分布在东南、南部花岗岩区、北部花岗岩风化土区等广大中低山及丘陵区,具有点多面广,灾害点个体规模小,稳定性差,活动频繁,地质灾害发育呈明显的地域性与季节性分布等特点。五华县地质灾害的形成与发生是多种致灾因素相互作用的结果。地层岩性是其形成的内在要素,它在一定程度上决定着地质灾害的发育程度与类型;地形地貌与植被是地质灾害形成的外在条件,它制约着崩、滑、塌等致灾地质作用的形成;大气降雨是地质灾害形成与发生的激发因素,决定着地质灾害发生的速度和时间;人类工程活动是影响地质灾害形成与发生的最主要、最直接的因素。对地质灾害的防治应采用避让、预防、监测及治理措施,做到避让与治理结合,以群测群防为基本手段,点状灾害以工程治理与生物防治为主;面状灾害以生物防治为主;采用点、面结合综合治理的方法。     

吉林省江源县地质灾害发育特征及防治对策

江源县位于吉林省东南部,处于长白山西麓,行政管辖隶属于吉林省白山市,具有丰富的矿产和旅游资源。近年来,由于经济的发展和人类工程活动的增强,加剧了区内地质灾害的形成,地质灾害对当地的经济发展和人民生命财产安全造成损失和潜在威胁。本文对该县的地质环境作了详尽的阐述,在此基础上对研究区内的泥石流、滑坡、地面塌陷、不稳定斜坡等地质灾害的发育特征和形成条件作了全面的分析研究,总结出它们的发展规律,同时对该县进行了地质灾害经济损失现状评估和预测评估,最后结合当地经济条件与地质灾害现状,给出了较为切实可行的地质灾害防治对策。     

基于层次分析法的可拓学理论在山区公路泥石流危险性评价中的应用

基于可拓工程方法,在物元模型理论的基础上建立了公路泥石流危险性评价的物元模型,并采用层次分析法计算物元模型中各评价指标的权系数。通过实际公路泥石流危险性等级的关联度计算,对四川地区雅泸高速公路的5条泥石流沟进行了评价,得出与实际相符合的结论。并与其他评价方法相比表明：该方法不仅可以应用在泥石流危险性评价上,而且所得的结果会更加合理,具有较好的适用性。     

焦作-郑州天然气输气管道工程地质灾害防治措施及防治建议

焦作-郑州天然气输气管道是较重要建设项目,输气管道起自焦作市博爱县磨头镇,南止郑州市惠济区古荥镇,该输气管道沿线地质环境条件复杂程度为简单-中等。地质灾害类型主要为崩塌、地裂缝、地面不均匀沉陷,黄土湿陷和沙土液化等地质灾害。工程建设有引发和加剧崩塌灾害的可能性,有遭受地质灾害的危险性。工程建设过程中应针对不同的灾害类型采取适当的预防或治理措施。     

The dynamics and thermodynamics of large ash flows

 Ash flow deposits, containing up to 1000 km³ of material, have been produced by some of the largest volcanic eruptions known. Ash flows propagate several tens of kilometres from their source vents, produce extensive blankets of ash and are able to surmount topographic barriers hundreds of metres high. We present and test a new model of the motion of such flows as they propagate over a near horizontal surface from a collapsing fountain above a volcanic vent. The model predicts that for a given eruption rate, either a slow (10–100 m/s) and deep (1000–3000 m) subcritical flow or a fast (100–200 m/s) and shallow (500–1000 m) supercritical flow may develop. Subcritical ash flows propagate with a nearly constant volume flux, whereas supercritical flows entrain air and become progressively more voluminous. The run-out distance of such ash flows is controlled largely by the mass of air mixed into the collapsing fountain, the degree of fragmentation and the associated rate of loss of material into an underlying concentrated depositional system, and the mass eruption rate. However, in supercritical flows, the continued entrainment of air exerts a further important control on the flow evolution. Model predictions show that the run-out distance decreases with the mass of air entrained into the flow. Also, the mass of ash which may ascend from the flow into a buoyant coignimbrite cloud increases as more air is entrained into the flow. As a result, supercritical ash flows typically have shorter runout distances and more ash is elutriated into the associated coignimbrite eruption columns. We also show that one-dimensional, channellized ash flows typically propagate further than their radially spreading counterparts. As a Plinian eruption proceeds, the erupted mass flux often increases, leading to column collapse and the formation of pumiceous ash flows. Near the critical conditions for eruption column collapse, the flows are shed from high fountains which entrain large quantities of air per unit mass. Our model suggests that this will lead to relatively short ash flows with much of the erupted material being elutriated into the coignimbrite column. However, if the mass flux subseqently increases, then less air per unit mass is entrained into the collapsing fountain, and progressively larger flows, which propagate further from the vent, will develop. Our model is consistent with observations of a number of pyroclastic flow deposits, including the 1912 eruption of Katmai and the 1991 eruption of Pinatubo. The model suggests that many extensive flow sheets were emplaced from eruptions with mass fluxes of 10⁹–10¹⁰ kg/s over periods of 10³–10⁵ s, and that some indicators of flow "mobility" may need to be reinterpreted. Furthermore, in accordance with observations, the model predicts that the coignimbrite eruption columns produced from such ash flows rose between 20 and 40 km. Received: 25 August 1995 / Accepted: 3 April 1996     

Bayesian estimation of seismic hazard for two sites in Switzerland

Seismic hazard analysis is based on data and models, which both are imprecise and uncertain. Especially the interpretation of historical information into earthquake parameters, e.g. earthquake size and location, yields ambiguous and imprecise data. Models based on probability distributions have been developed in order to quantify and represent these uncertainties. Nevertheless, the majority of the procedures applied in seismic hazard assessment do not take into account these uncertainties, nor do they show the variance of the results. Therefore, a procedure based on Bayesian statistics was developed to estimate return periods for different ground motion intensities (MSK scale).Bayesian techniques provide a mathematical model to estimate the distribution of random variables in presence of uncertainties. The developed method estimates the probability distribution of the number of occurrences in a Poisson process described by the parameter . The input data are the historical occurrences of intensities for a particular site, represented by a discrete probability distribution for each earthquake. The calculation of these historical occurrences requires a careful preparation of all input parameters, i.e. a modelling of their uncertainties. The obtained results show that the variance of the recurrence rate is smaller in regions with higher seismic activity than in less active regions. It can also be demonstrated that long return periods cannot be estimated with confidence, because the time period of observation is too short. This indicates that the long return periods obtained by seismic source methods only reflects the delineated seismic sources and the chosen earthquake size distribution law.