广饶县河流污染带地下水水质现状评价与污染分析   总被引：1，自引：0，他引：1  

赵金香  王兆林  张淑芳 《地下水》2008,30(3):43-47

多年来由于接纳上游和境内工业、生活污废水,淄河、阳河、织女河三条河流大部分时间水质为劣V类,沿河两测形成2km左右的浅层地下水污染带。对污染带内地下水水质现状进行评价与分析、应用模糊综合评价法进行污染程度评价。得出的结论是河流两岸浅层地下水水质由以优良或良好为主变为以较差或极差为主,污染和微污染的地下水井占81．2％,石油类、亚硝酸盐氮、氨氮、挥发酚、硝酸盐氮、高锰酸盐指数等主要污染参数超标率均在30％以上。  相似文献   

构建基于GIS的房产管理     

闫晓光 《测绘与空间地理信息》2008,31(2):67-70

阐述了基于GIS房产管理的关键是建立统一的数据分类与编码标准,核心是建立房屋的空间地理属性信息、自然属性信息、社会人文属性信息的链接,基础是建立房产地理信息数据库。并提出了建立房产地理信息数据库的方法、设计思路和方式。  相似文献   

基于免疫粒子群优化算法的影像纹理分类     

李林宜  李德仁 《测绘学报》2008,37(2):0-249

粒子群优化算法是基于群智能的随机全局优化方法,它源于对鸟群简化社会系统的模拟。为了提高标准粒子群优化算法的收敛性能,将生物免疫系统的记忆能力和多样性引入标准粒子群优化算法,提出一种免疫粒子群优化算法。在提取纹理样本Laws纹理能量模板特征、小波特征等纹理特征的基础上,提出针对分类问题的粒子表达方法和群体寻优策略,实现了基于免疫粒子群算法的纹理分类。实验结果表明,与标准粒子群优化算法相比,免疫粒子群优化算法在获取训练样本类别中心时具有较好的收敛性能,并且基于该算法的影像纹理分类具有较高的分类精度。  相似文献   

因子分类法在黑龙江塔河地区地质填图中的应用   总被引：1，自引：0，他引：1  

时艳香  郝立波  陆继龙  纪宏金 《吉林大学学报(地球科学版)》2008,38(5):899-903

利用因子分类法在黑龙江塔河地区进行地球化学单元识别,根据各单元的理论地球化学意义及其与地质单元的对应关系,进行浅覆盖区地质填图研究。充分提取区域化探资料中的地球化学信息,将研究区识别为具有特定地质、地球化学意义的5个地球化学单元。其中:Be、Nb、Sn、Y、Rb单元主要反映研究区古生代花岗岩和中生代酸碱性火山岩的分布;Co、TFe、Cr、Ni、V、Ti、MgO单元主要反映研究区早元古代侵入岩、变质岩和古生代基性岩体的分布;SiO2、K2O、Na2O单元反映的地质单元主要为古生代侵入岩、中生代酸碱性火山岩和沉积岩;Al2O3、Li、F单元主要反映中生代火山岩的分布;CaO、Sr、Ba单元反映的是中生代沉积岩,可能与生物沉积作用有关,代表比较稳定的沉积环境。同时,根据不同单元的分布形态和边界走向,识别和推断了研究区的北东、北西、南北及东西向断裂构造。  相似文献   

临涣矿区界沟煤矿工程地质条件研究     

黄芳友  张文永  徐胜平 《中国煤炭地质》2008,(7):55-58

根据主采煤层顶底板岩体岩性类型及结构面发育程度对其稳定性进行了评价：72煤层顶板以中等稳定一不稳定类型为主,82煤层顶板以中等稳定类型为主,10煤层顶板以中等稳定一稳定类型为主。在大量统计见煤点硬质岩百分含量（k值）的基础上,结合顶板岩石的单轴抗压强度,对各主采煤层顶底板工程地质类型进行了划分：72煤层以一、二类顶板为主,82、10煤层均以五类顶板为主。综合评价该矿工程地质条件为中等即Ⅲ类二型。根据研究成果,指出该矿在采掘过程中可能出现的工程地质问题,并依此提出了治理建议。  相似文献   

用Hash表技术实现快速流分类     

李英毅  贾雨 《成都理工学院学报》2008,35(1):108-112

Hash表技术是流分类的常用方法之一,用Hash表技术实现快速流分类的关键问题是降低冲突率,提高冲突解决的效率。该文通过提出几个新的概念（如发散、最佳流分类比特和相似比特等）来降低冲突率,通过提出查找树方案来提高冲突解决的效率,从而得到了一种能适应进行任意域流分类工作的、高效的流分类哈希（Efficient Packet Classification Hash,EPCH）表技术方案。仿真试验证明：该方案冲突率低、效率高,值得推广。  相似文献   

Automatic classification of volcanic earthquakes by using Multi-Layered neural networks     

S. Falsaperla  S. Graziani  G. Nunnari  S. Spampinato 《Natural Hazards》1996,13(3):205-228

The application of neural networks as classifiers of seismic events is described with the aim of developing an automatic system for the classification of explosion quakes at the Stromboli volcano. The architecture of the network that we trained to identify four different classes of shocks was a Multi-Layer Perceptron, using the Back Error Propagation algorithm. Five different approaches for representing the information embedded in the seismograms, both in the time and in the frequency domain, were considered, and the results compared. The direct use of the time series of the shocks was not satisfactory. The auto-correlation function worked well, but in some cases it was misleading. A better performance was obtained with a frequency domain representation. Finally, the use of the envelope function did not work well. Combining parameters such as the auto-correlation and envelope functions can improve one source of error, but it may introduce new ones. The performance obtained highlights the importance of the data attributes used for the training of the network. Topologies with eight neurons in a single hidden layer gave, on average, the best results among the considered neural network structures. The overall results provide a large number of events (89% with the best performance) correctly classified, indicating that this automatic technique is reliable, and encouraging further applications in the field of volcanic seismology.  相似文献   

华北地台晚古生代含煤地层多重划分   总被引：11，自引：0，他引：11  

汪曾荫  刘汉男 《华北地质矿产杂志》1996,11(1):9-23

以６０个大体均匀分布于华北地台的地层剖面为基础,以晚古生代聚煤盆地的整体性为依托,对华北晚古生代地层进行多重划分研究,在岩石地层方面,研究了地层分区、划分了１８个岩石地层单位“组”,分析了组的穿时性,在生物地层方面,重点介绍了蜒、古植物和孢粉生物地层,划分了各个组合带、延限带和顶峰带,分析了生物演化系列,空间展布和对比,提出了多方面的新认识,在年代地层方面,应用界线层型概念以及与首要门类生物地层单  相似文献   

Engineering geological studies and tunnel support design at Sulakyurt dam site, Turkey   总被引：2，自引：0，他引：2  

H. Basarir 《Engineering Geology》2006,86(4):225-237

This paper presents the results of engineering geological investigations and tunnel support design studies, carried out at the Sulakyurt dam site, northeast of Ankara, Turkey. The Sulakyurt dam will be used for flow control and water storage for irrigation projects. Studies were carried out both in the field and the laboratory. Field studies include engineering geological mapping, intensive discontinuity surveying, core drilling and sampling for laboratory testing. The diversion tunnel will be driven in rock mass, consisting of granite and diorite. Empirical, analytical and numerical methods were combined for safe tunnel design. Rock mass rating (RMR), Rock mass quality (Q) and Geological strength index (GSI) systems were used for empirical rock mass quality determination, site characterization and support design. The convergence–confinement method was used as analytical method and software called Phase², a 2D finite element program, was utilized as numerical method. According to the results acquired from the empirical, analytical and numerical methods, tunnel stability problems were expected in both granite and diorite rock masses. The support system, suggested by empirical methods, was applied and the performance of suggested support system was evaluated by means of numerical modelling. It was concluded that the suggested support systems were adequate, since after applying the suggested support system to granite and diorite, tunnel deformation and the yielded elements around the tunnel decreased significantly. Thus, it is suggested that for more reliable support design empirical, numerical and analytical methods should be combined.  相似文献   

Modeling of the classification behavior of the diaphragms used in multi-chamber cement mills     

C.E. Özer  S¸.L. ErgünA.H. Benzer 《International Journal of Mineral Processing》2006

A new approach has been developed for describing the classification that arises at the diaphragm in multi-chamber ball mills. Fourteen industrial scale cement mills have been sampled in this study and after mass balancing, model fits of the equipment were done. Successive mill product predictions for the sampled conditions were achieved, and requirements to build up an optimization capable model are discussed.  相似文献