三峡库区生态环境约束下的支柱产业选择

三峡库区具有人地矛盾尖锐，生态环境脆弱，经济基础薄弱等特点，本文提出了三峡库区生态环境约束下支柱产业选择的原则，在此基础上建立了库区支柱产业选择的指标体系，运用层次分析法和投入－产出模型等定量研究方法，通过综合比选，将食品工业，以汽车摩托车零配件为主体的机电工业，以中药材深加工为主的医药工业，新型建材和生态旅游作为三峡库区今后15－20年重点发展的支柱产业，并对选择结果作了分析预测。     

珠江三角洲地区一体化交通运输网络发展构想

从区域经济一体化角度分析了珠江三角洲经济区交通运输的现状、问题和发展趋势，提出了建设一体化交通运输网络的基本思路和总体构想。认为珠三角交通运输设施虽然种类齐全且发展迅速，但还存在数量、质量、结构、布局等方面与区域经济一体化和未来发展趋势不相适应的问题；为了促进区域经济一体化，交通运输应从被动适应变为主动发展并引导城镇体系和生产力布局，从注重设施数量变为强调设施质量并向高速高效型发展；应该分4个层次建设3个枢纽和3大组团并与大运量快速干线相连接，构建区域一体化的交通运输网络。     

由三元系相图计算活度的方法Ⅱ.有二元同分熔点化合物的体系

利用熔化自由能 ,由具有同分熔点二元化合物的三元系相图计算活度。计算的范围遍及三元相图的液相面、液相线、共熔线和三元低共熔点     

川滇藏三江流域生态环境功能区建设目标及影响预测

三江流域具有特殊严酷的自然环境和相对落后的经济条件,本区域的生态环境极度脆弱,不但限制了本区域的经济发展,还严重威胁着中下游地区的安全。本文运用景观生态学原理,从流域生态环境功能区建设目标及影响预测两个方面分析,提出了三江流域生态功能区建设的措施,对生态功能建设的效果进行了预测。     

Sensitivity Analysis of a Feedforward Neural Network for Considering Genetic Mechanisms of Kuroko Deposits

Exploration for volcanogenic massive sulfide deposits of the kuroko-type is underway in many places. Clarifying the spatial patterns of the metals in kuroko deposits will be useful for understanding their genetic mechanisms and for future exploration of such types of deposits. This study represents a spatial distribution analysis on the contents of principal metals of kuroko deposits: Cu, Pb, and Zn, in the Hokuroku district, northern Japan, by a feedforward neural network and 1917 sample data at 143 drillhole sites. The network, which consists of three layers, was trained by the principle of SLANS in which the numbers of neurons in the middle layer and training data are changed to improve estimation accuracy. Using the weight coefficients connecting adjacent neurons, sensitivity analysis of the neural network was carried out to identify factors influencing spatial distributions of the three metals. The coordinates depth (z) direction, Bouguer gravity, and specific lithology such as dacite were determined to be influencing factors. The high frequency of the z coordinate signifies that the metal contents differ to a large extent by depth. The sensitivity vector was defined using sensitivity coefficients for x, y, and z coordinates of an estimation point. We determined that the directions of large vectors were different inside and outside of the Hanawa-Ohdate area. This characteristic is considered to originate from the differences in the permeability of fractures that became the paths for rising ore solutions, and the depths that the solutions mixed with sea water.     

On the land use in Three Gorges Reservoir area

In this study the arable land changes in two counties (Zigui and Xingshan) in the Three Gorges Reservoir area in China are investigated. The statistical data from the officially published statistical books are used to study these changes in the two counties during the past 50 years since 1949. The changes of arable land, changes of arable land per capita, and changes of multiple crop index in Zigui and Xingshan counties are examined. Using an index method, we conclude that the two counties are critical in the sustainable utilization of arable land.     

大港油田板深22井油气地球化学异常特征

根据板深22井中不同地球化学指标的背景含量和异常特征，重点探索和总结了不同油气层的化探指纹指标，并根据地表指纹指标的异常组合、配套关系及异常特征，对油气层的埋深进行了初步预测，为今后该地区地表开展预测油气藏埋深的工作提供了一定的地球化学依据。     

罕见矿物--六方球方解石的发现及特征

大庆油田部分三元复合驱抽油井结垢现象比较严重。井中结垢损害抽油设备，增加了生产成本。通过运用XRD，IR，SEM和化学分析手段对抽油井垢的研究发现，垢的主要化学成分为CaO和SiO2，其含量分别为67％和28％，油井垢中的主要矿物成分是罕见矿物——六方球方解石。六方球方解石呈微晶状(1—10μm)，并常常以微晶聚集的球粒状出现，同时伴生有无定形SiO2。呈游离态的SiO2和有机质对于六方球方解石的形成起到了重要作用。     

湖泊水下数字高程模型建模方法及应用模型

介绍了当前湖泊水下地形测量的一般方法和作业过程。针对逐点插入构建不规则三角网算法，本文提出了效率改正算法和格网索引号快速计算算法。基于不规则三角网，给出了湖泊水下数字高程模型的一般应用模型——任意点高程计算、填挖方计算模型及等深线计算模型。     

基坑支护结构水平变形预测的遗传神经网络方法

采用遗传算法和误差反向传播算法相结合的混合算法来训练前馈人工神经网络,先用遗传学习算法进行全局训练,再用BP算法进行精确训练。就遗传算法过程中的选择、变异进行了探索,提出了用BP网络训练产生变异的遗传算法。作为实例,将该方法应用于预测基坑支护结构水平变形中。结果表明,该方法有收敛速度较快、预测精度高等优点。