A study on the early-warning technique concerning debris flow disasters

According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention.     

三种地统计学图像纹理用于遥感图像分类的比较

该文运用LANDSAT TM数据对三种地统计学纹理量测方法用于图像分类的性能进行了比较和分析。研究发现，基于绝对值变差函数的纹理具有更好的性能。经典的变差函数和基于方根的变差函数的性能依赖于提取纹理时所用的窗口大小。     

从流体包裹体研究探讨金属矿床成矿条件

根据作者多年来对流体包裹体的研究成果，参考了国内外的研究结论，提出了一个新的成矿流体分类方案，并评述了我国若干典型金属矿床的研究状况，由此探讨了金属矿床的形成机制。     

面向对象的GIS数据模型与实现

介绍了面向对象数据模型的基本概念，重点讨论了面向对象数据模型在地理信息系统中的应用及具体实现途径。     

矿产资源两个层次的经济意义及分类

首次提出了矿产资源两个层次的经济意义,论述了两者的特点及其相互关系。在两个层次的地质可靠程度和两个层次的经济意义的基础上,提出了两个层次分类的概念,进而分析我国新分类标准可能存在的问题,并提出了个人建议。     

试论火山岩储层的类型及其成因特征

本文在总结前人研究的基础上，结合胜利及辽河油田最新资料，提出了一种火山岩油气藏储层分类方案，共分为火山熔岩型、火山碎屑岩型和潜火山岩型3种类型。其中火山碎屑岩型又可分为正常火山碎屑岩型和火山碎屑沉积岩型两种亚类型；潜火山岩型分为隐爆角砾岩型和蚀变岩型两种亚类型。文中结合实例对各种类型储层的成因机制、空间展布特点以及储集性的变化特征进行了阐述和讨论。     

指派交叉--一种新的遗传交叉方法

在用遗传算法生成影像纹理分类的“Tuned”模板中，引用了一个新的遗传交叉方法——指派交叉，与其他的交叉方法相比，指派交叉可在相同的搜索空间中提供更好的优化组合。试验证明，指派交叉是值得推广的一种遗传交叉方法。     

基于图像特征的烟叶分级

讨论了基于图像特征的烤烟烟叶分级系统的建模及其实现，给出了烟叶分级模型的数学描述，探讨了模型库的优化和特征隶属度及烟叶模式的可信度的计算问题，并通过试验分析了FTGS系统的性能和有效性。