What do economic simulations tell us? Recent mergers in the iron ore industry

This paper investigates the European Commission's decision to allow a merger between two Brazilian iron ore mining companies, CVRD and Caemi, using data on the Direct Reduced Iron pellet market. By using a simulation model, we can directly simulate the total welfare effects from the merger and hence evaluate the merger from a new perspective. The results from our simulations suggest that the welfare effects are negative from the merger between CVRD and Caemi, which supports the conclusion drawn by the European Commission decision. By performing different simulations between hypothetical merger candidates, our results show that only mergers between small candidates have the potential to be welfare enhancing.     

避雷针保护范围验算数学模型的确定

主要针对现有国家标准中避雷针保护范围确定的问题 ,即多是给予形状上的描述 ,而在实际设计或验算过程中通常计算量很大且重复工作多 ,笔者为应对上述的问题 ,提出了新的思路和新方法 ,建立了避雷针保护范围计算的数学模型 ,且编制了相应软件。     

准噶尔盆地油田开发区土地沙漠化防治研究--以石西、莫北油田为例

通过对准噶尔盆地石西油田、石南油田、莫北油田等开发利用区土地沙漠化现状和特点的分析，对油田开发活动引起的水土流失进行了预测，并对产生的新的土地沙漠化现象和水土流失对油田区道路、管线、油区的影响进行了分析，提出了针对钻井井场、道路、输油气管线等的分区防治措施。     

STREAM DISCHARGE PREDICTION VIA A GRID BASED SOIL WATER ROUTING WITH PADDY FIELDS1

ABSTRACT: A grid based daily hydrologic model for a watershed with paddy fields was developed to predict the stream discharge. ASCII formatted elevation, soil, and land use data supported by the GRASS Geographic Information System are used to generate distributed results such as surface runoff and subsurface flow, soil water content, and evapotranspiration. The model uses a single flow path algorithm and simulates a water balance at each grid element. A linear reservoir assumption was used to predict subsurface runoff components. The model was applied to a 75.6 km² watershed located in the middle of South Korea, and observed stream flow hydrographs from 1995 and 1996 were compared to model predictions. The stream flow predictions of 1995 and 1996 generally agreed with the observed flow, resulting in a Nash‐Sutcliffe efficiency R² of 0.60 and 0.62, respectively. The hydraulic conductivity for percolating water through the saturated layer affected baseflow generation. The levee height of the paddy influenced the time and magnitude of the surface runoff, depending on irrigation management. The model will be used for making low flow management decisions by evaluating the role of each land use to stream flow, especially in case of paddy decrease by gradual urbanization of a watershed.     

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     

水库中长期径流预报系统的开发研究

水库中长期径流预报系统采用PowerBuilder作为系统主要开发工具，集水情信息查询、检索、监视、预报与管理等功能于一体，实现了中长期水文预报和信息管理的各种功能要求。该系统具有功能全面，技术基础坚实，通用性和开放性强，自动化程度高，界面友好，全菜单操作等特点。     

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。     

四川省酸性降水范围,趋势预测及其对农作物,蔬菜生长影响估损

本文在综述四川酸性降水范围、发展趋势预测的基础上，根据野外调查、现场考察和有关资料，阐述了酸雨形成的多种污染源及其对农业生态系统的危害。着重分析和论证了酸沉降（含酸雨、酸雾）对农作蔬菜的影响，并对酸沉降形成的主要几种污染影响范围和造成的经济损失采用分项估算法。估算公式为：Ｓ农损＝Ｄ粮损×ｇ×Ｊ＋Ｅ蔬损×ｇ×Ｊ＋Ｆ油损×ｇ×Ｊ，式中Ｄ、Ｅ、Ｆ分别代表粮食、蔬菜、油菜受酸沉降污染危害影响面积，ｇ为每亩面积减产数量，Ｊ为单位产量价格。根据公式估算，经济损失为０５９－０６６亿元／年，取平均值≈Ｓ农损，总共为０６３亿元／年。     

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.