建筑物塌陷损坏评价的物元模型及其应用

矿产采掘和地下水资源开采造成的地表塌陷是一类较为严重的地质灾害,地表的塌陷必然会对依附于地球表层的建筑物造成不同程度的损害,建筑物损害的量化评价是地表塌陷损害工程评估的一项重要内容。本文应用可拓学的理论和方法,基于可拓学中的可拓集合变换和相关函数分析法,给出了受塌陷影响建筑物损害评价的经典域物元和节域物元,并建立了建筑物损害量化评价的物元模型。通过具体的计算示例说明了该方法的应用步骤,并对该方法的合理性进行了验证,为建筑物塌陷损坏评价提供一种新的方法。     

土与结构相互作用体系振动台模型试验数值模拟研究(英文)

运用土与结构动力相互作用 (SSI)有限元三维分析软件 SASSI2 0 0 0对一个土与结构动力相互作用体系振动台模型试验进行了模拟计算。对振动台模型试验作了简单的介绍 ,并详细叙述了试验的建模方法。对于试验中的刚性地基和柔性地基条件 ,El- centro波、Taft波和 5 0年超越概率为 10 %的南京人工波等三种地震波输入 ,三个加速度峰值水平 0 .1g、0 .2 g、0 .3g及两个水平向地震波输入的各种组合工况均进行了计算。在数值计算中 ,假设地基土为覆盖于基岩上的半无限粘弹性水平成层土 ,采用等效线性模型考虑土的动力非线性的影响 ;上部结构用三维杆系有限元单元模拟 ,楼板用四结点壳单元模拟 ,每个结点有三个平动自由度和三个转动自由度 ,模型试验中所施加的人工质量均匀分布于壳单元上 ;基础视为平板基础 ,用八结点块体单元模拟 ,每个结点有三个平动自由度。将试验结果与计算结果进行对比较 ,结果表明 :计算所建立的模型较好地模拟了相互作用体系在地震荷载下的反应性状 ,计算结果与试验结果吻合较好 ,SSI效应对结构地震反应有很大影响     

四川省泥石流灾害保险的风险分析与区划

泥石流灾害保险的风险评估和区划，是分区分类防灾和损失评估的重要依据，也是泥石流灾害保险费率厘定的基础。采用综合评判的数学方法，选取对泥石流灾害保险起主导作用的灾害损失、孕灾环境和风险区价值为评判因子，对泥石流灾害保险的风险进行了评估。以四川省为例，介绍了进行风险区划的方法和步骤，将四川全省按地、市、州级行政区划分为19个风险评判区，对各区进行泥石流灾害保险风险评估，在此基础上完成了四川省泥石流灾害保险风险评估区划图。     

关于建立许家峪生态农业示范村的可行性研究

生态农业示范村建设是进行综合生态农业示范体系研究的基础,也是神态农业经营理念和技术推广的重要途径。因此,地理、交通、自然和人文环境的选择,生产经营模式的确定对生态农业经营效益和示范影响效果至关重要。本文通过对许家峪村的现状和作为冀东生态农业示范村的优势和存在问题以及适宜的经营模式进行了剖析和阐述。     

我国矿业"走出去"风险勘探问题分析与建议

根据我国资源条件和经济发展的需要以及获取国外资源的方式进行比较分析得知，我国非常有必要到国外进行风险勘探。虽然我国经历了多年境外风险勘探的实践和探索，但是步伐缓慢，在实践中面临很多问题。对此，作者提出了我国境外风险勘探问题的建议。     

ENVIRONMENTAL AUDITING: An Approach for Characterizing Tropospheric Ozone Risk to Forests

/ The risk tropospheric ozone poses to forests in the United States is dependent on the variation in ozone exposure across the distribution of the forests in question and the various environmental and climate factors predominant in the region. All these factors have a spatial nature, and consequently an approach to characterization of ozone risk is presented that places ozone exposure-response functions for species as seedlings and model-simulated tree and stand responses in a spatial context using a geographical information systems (GIS). The GIS is used to aggregate factors considered important in a risk characterization, including: (1) estimated ozone exposures over forested regions, (2) measures of ozone effects on species' and stand growth, and (3) spatially distributed environmental, genetic, and exposure influences on species' response to ozone. The GIS-based risk characterization provides an estimation of the extent and magnitude of the potential ozone impact on forests. A preliminary risk characterization demonstrating this approach considered only the eastern United States and only the limited empirical data quantifying the effect of ozone exposures on forest tree species as seedlings. The area-weighted response of the annual seedling biomass loss formed the basis for a sensitivity ranking: sensitive-aspen and black cherry (14%-33% biomass loss over 50% of their distribution); moderately sensitive-tulip popular, loblolly pine, eastern white pine, and sugar maple (5%-13% biomass loss); insensitive-Virginia pine and red maple (0%-1% loss). In the future, the GIS-based risk characterization will include process-based model simulations of the three- to 5-year growth response of individual species as large trees with relevant environmental interactions and model simulated response of mixed stands. The interactive nature of GIS provides a tool to explore consequences of the range of climate conditions across a species' distribution, forest management practices, changing ozone precursors, regulatory control strategies, and other factors influencing the spatial distribution of ozone over time as more information becomes available.KEY WORDS: Ecological risk assessment; GIS; Ozone; Risk characterization; Forests; Trees     

PREDICTIVE MODEL FOR NITRATE LOAD IN THE BULL RUN WATERSHED,OREGON1

ABSTRACT: Predictive models for nitrate in four streams in the Bull Run Watershed in the Cascade Mountains of Oregon were developed from a record of 17 years of nitrate samples. The models are time series regression models written in terms of Log(nitrate load). The independent variables are logarithm of 14-day mean daily stream discharge, current day's precipitation, logarithm of the previous day's precipitation, total precipitation for the previous seven days, a hydrograph position variable that indicates rising or falling limb, and average maximum air temperature for the preceding 14 days. The models describe annual cycle and seasonable trends and variations in nitrate load, but are unable to describe large day to day variations like those associated with hydrograph peaks.     

河流水质灾害中的S—P方程稳态分析和临界氧亏计算

污染物对水环境的影响主要发生在枯水期，此时水流状态处于稳态．Streeter－phelps（S－P）方程能预测简单稳态条件下的水质状况，并具有较高的计算织亏的精度．     

自然灾害变动的集成预测模型及其应用

本文提出了以非线性回归拟合发展趋势、正弦函数逼近周期变动和马尔可夫链刻划随机扰动的集成预测模型，并应用于山东省农业自然灾害成灾面积的变动规律模拟，得到了较好的预测效果。理论和实践表明，集成预测模型优于传统的单模型预测，为预测具有复杂机制的自然灾害演变提供了一种新方法。     

热辐射的破坏准则和池火灾的破坏半径

热辐射破坏是发生在开放气环境中的池火灾的主要破坏机理。本文讨论了热辐射的破坏准则，提出预测池火灾破坏半径的方法，进行了数值模拟计算，分而和时纳了池火灾的基本规律