浅谈局域网的内部安全管理

自上个世纪70年代初出现局域网,局域网已普及到国民经济的各个部门,也同样成为测绘行业各类数字测绘产品的生产服务平台.如何搞好局域网的内部管理,确保网络安全运行,成为一个亟待解决的课题.根据多年来网络管理的亲身经历,本人认为事故大多都间接地来自于内部安全管理上的疏忽和漏洞.     

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。     

昆明滇池周围磷矿资源现状及开发前景

云南磷矿探明储量居全国首位,滇池周围保有储量占全省保有储量68.64%。磷化工与磷复肥基地和国内最大露采矿山,均在此区域内。"优矿低用"、矿山规模化小、国营矿山效益差,均是发展中要解决的问题。合理开采富矿、发展磷肥要"湿、热并举"、实施"矿电联营"、政府给予优惠政策,是云南磷矿业可持续发展的重要举措。     

基于蒙特卡罗法的多级黄土滑坡可靠性分析

滑坡稳定性分析目前工程中一般采用极限平衡算法。为了确定滑坡的稳定性系数,在计算过程中要将岩土体、计算模型简化,忽略一些影响滑坡稳定的次要因素,把影响滑坡稳定的各种主要因素作为确定参数。由于滑坡岩土体本身的非均质性及其参数确定具有随机性和变异性,用唯一的稳定系数不能客观地反映整个滑坡的真实安全程度。以陕西省夏呀河滑坡为例,通过野外详细调查、工程勘探和室内土工试验,初步确定该滑坡存在四级滑动面,难以用简单的单一滑动面计算其稳定性。因此,先采用推力传递系数法对滑坡体上的四级滑坡分别进行滑坡稳定性计算,得到该滑坡体上的四级滑坡稳定系数。再采用蒙特卡罗法对该四级滑坡进行可靠性分析,得到其可靠度,定量地表达夏呀河四级滑坡的安全程度。同时对比分析夏呀河四级滑坡的稳定系数和失稳概率,综合评价该滑坡体上的四级滑坡的稳定性及其风险概率,为滑坡的工程治理及预测预警、灾害危险性评价提供依据。     

区域矿产评价模型——以赤峰红花沟金矿为例

在矿床模型综合地质信息预测方法中,区域矿产评价模型包括远景区圈定要素组合、远景区优选要素组合、矿床数估计要素组合和资源量估算要素组合,它们成功地解决了矿产预测中的信息不对称以及知识驱动和数据驱动相结合的问题.通过对赤峰燕山期红花沟式岩浆热液型金矿资源的定位、定量预测,共圈定远景区11个,其中A类远景区4个,B类远景区3个,C类远景区4个;预测潜在矿床数8个,潜在资源量306.532 t.本区该类型金矿资源潜力巨大,具有很好的找矿远景.     

人工边坡潜在滑动面研究——以广州科学城某人工高边坡为例

运用强度参数的改变对边坡破坏面形迹影响不明显这一特点,在数值模拟过程中通过改变岩体强度参数,有效地获取潜在滑动面的位置和形态,较好地解决了滑动面搜索的难题。将该法应用于广州科学城某人工高边坡稳定性的研究,在三维数值模拟过程中,将强度参数大幅度折减,计算后获得各剖面的剪应变增量图,从这些图中可获得潜在滑动面。这与人们通常将此类边坡的中风化面作为滑动面存在较大差别。将该滑动面运用极限平衡法进行计算,计算结果显示各剖面的安全系数基本都大于1.2,边坡稳定但仍需要加固处理,与三维数值模拟结果相一致。由此认为用这种分析法确定出的潜在滑动面合理、计算结果可靠,可作为搜索边坡潜在滑动面并计算安全系数的方法之一。     

中国南方含油气区构造—沉积类型及其勘探潜力

南方含油气的复杂构造区根据构造—沉积类型的不同,可将其分为四种类型。通过对不同类型典型含油气区的生烃量及非构造运动天然气散失量的化学动力学计算,认为这四种类型含油气区的油气聚集潜力从好到坏依次为:喜马拉雅运动抬升暴露型、燕山运动抬升暴露型、反复抬升—沉降型和海西—印支运动抬升暴露—后期浅埋型。主要构造运动发生越晚,对油气保存越有利。     

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。     

Non-Linear Theory and Power-Law Models for Information Integration and Mineral Resources Quantitative Assessments

Singular physical or chemical processes may result in anomalous amounts of energy release or mass accumulation that, generally, are confined to narrow intervals in space or time. Singularity is a property of different types of non-linear natural processes including cloud formation, rainfall, hurricanes, flooding, landslides, earthquakes, wildfires, and mineralization. The end products of these non-linear processes can be modeled as fractals or multifractals. Hydrothermal processes in the Earth’s crust can result in ore deposits characterized by high concentrations of metals with fractal or multifractal properties. Here we show that the non-linear properties of the end products of singular mineralization processes can be applied for prediction of undiscovered mineral deposits and for quantitative mineral resource assessment, whether for mineral exploration or for regional, national and global planning for mineral resource utilization. In addition to the general theory and framework for the non-linear mineral resources assessment, this paper focuses on several power-law models proposed for characterizing non-linear properties of mineralization and for geoinformation extraction and integration. The theories, methods, and computer system discussed in this paper were validated using a case study dealing with hydrothermal Au mineral potential in southern Nova Scotia, Canada.     

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