甘肃及邻近地区几次中强地震前地震空间相关长度增长的研究

用单键群分析方法，研究了甘肃及邻区发生的几次中强地震前的空间相关长度增长的现象. 结合震源区不同的情况，分别选取了圆形和沿断层带分布的平行四边形空间窗. 结果表明，所研究的几次中强地震前都观察到相关长度增长的现象.      

论上海汽车产业集群的现状及发展

产业集群是产业空间组织革命的结果?从组织结构变革的角度看，由于以使用柔性技术及复杂的生产网络为特点的柔性化生产方式逐渐取代了刚性生产方式，产业集聚的空问状态也相应从区域内大企业组织的垂直层级结构逐渐向本地化的企业网络结构转变。目前，上海汽车产业内组织结构仍以垂直一体化的层级结构为主．随着生产规模的不断扩大以及上海通用的进入及发展，更加推动了区域内的供货商体系的变革，地方性供货网络得到进一步发展，与区域外汽车企业的联系更加紧密且形式也从单纯的引进技术、资金转向信息交流、人才培训等。     

有序样品聚类的最优分割应用程序开发

在地层划分、蚀变、矿化、圈定矿体的研究中，有序样品聚类的最优分割法——数学处理方法是一个十分有效的方法，而该方法的数据处理是一个复杂而繁琐的过程。为了有志于地质研究的爱好者，根据最优分割的数学处理原理，将最优分割法编制成易于为非计算机专业人员所利用的处理软件，并免费共享。该程序使用方便，操作简单，只要按文中说明加以编辑，即可投入使用。     

Study on growing correlation length prior to the earthquakes occurred in Gansu Province and its nearby area

IntroductionAtpresent,predictionespeciallyshort-termpredictionofmoderateandgreatearthquakesismadeonthebasisofprecursoranalysispriortoearthquakes.Amongtheprecursors,seismicactivityisconsideredastheonewithmorephysicalsenseanditismoredependable.Howtofindquantitativeindexesforearthquakepredictionintheseismicactivitiesbeforegreatearthquakesisoneoftheimportantproblemsinstudy.In1990,FrohlichandDavis(1990)appliedthesingle-linkclusteranalysis(SLC)tothestudyonseismiccatalogs.SLChasawide-rangeapplica…     

Spatial-temporal rainfall modelling for flood risk estimation

Some recent developments in the stochastic modelling of single site and spatial rainfall are summarised. Alternative single site models based on Poisson cluster processes are introduced, fitting methods are discussed, and performance is compared for representative UK hourly data. The representation of sub-hourly rainfall is discussed, and results from a temporal disaggregation scheme are presented. Extension of the Poisson process methods to spatial-temporal rainfall, using radar data, is reported. Current methods assume spatial and temporal stationarity; work in progress seeks to relax these restrictions. Unlike radar data, long sequences of daily raingauge data are commonly available, and the use of generalized linear models (GLMs) (which can represent both temporal and spatial non-stationarity) to represent the spatial structure of daily rainfall based on raingauge data is illustrated for a network in the North of England. For flood simulation, disaggregation of daily rainfall is required. A relatively simple methodology is described, in which a single site Poisson process model provides hourly sequences, conditioned on the observed or GLM-simulated daily data. As a first step, complete spatial dependence is assumed. Results from the River Lee catchment, near London, are promising. A relatively comprehensive set of methodologies is thus provided for hydrological application.     

广东省沿海经济带区域差异探析

广东省沿海经济带的发展对整个广东省的经济有极大的影响。目前，其整体水平高于国内其他省份的沿海经济带，但是其内部区域差异较大。主要表现在经济总量、经济发展水平、产业结构等单要素方面。采用聚类分析法划分了广东省沿海经济带的结构层次，并分析不同层次的特点。进而揭示了广东省沿海经济带巨大的区域差异给整个区域发展所带来的问题。最后，在分析区域差异及其负面影响的基础上，提出广东沿海经济带协调发展的几点对策。     

高频电磁测深在地下热水勘探中的应用

高频电磁测深法是一种利用天然高频电磁场作为场源的电磁勘探方法,具有高分辨率和相对直流电法较深的勘探深度的特点,特别适合中浅层地热和地下水勘探。本文介绍了一个应用高频电磁测深评价地下热水资源的一个成功实例。野外数据采集采用了高频电磁测深系统MT-U5A,采用远参考技术,以保证数据采集质量。高频电磁测深资料二维反演成像处理结果较好地描述了地下热水的空间分布范围,为查明该区的地下热水的来源提供了较有利的证据。     

The application of the high-frequency electromagnetic sounding method in the exploration of underground thermal water

High-frequency electromagnetic sounding is an electromagnetic exploration method using the natural high-frequency electromagnetic field as a field source. It has higher resolution and greater depth penetration than the direct current method and is especially fit for geothermal energy exploration and low- and mid-level groundwater detection. We introduce a successful application of high-frequency electromagnetic sounding for evaluating geothermal water resources. The high frequency electromagnetic system （MT-USA with a frequency range from 10 KHz to 1 Hz） is first applied to sample field data from China. A remote reference station is used to assure sampled data quality. We then perform 2D inversion image processing with the electrical method data. The results basically indicate the spatial distribution of underground geothermal water and provide favorable clues to finding the sources of the subsurface geothermal water in this area.     

Statistical evaluation of compositional changes in volcanic gas chemistry: a case study

The geochemical analysis of fumarolic gases collected at quiescent and active volcanic systems over time is one of the main tools to understand changes in the state of activity for surveillance and risk assessment. The continuous output of chemical species through fumarolic activity, which characterizes the inter-eruptive intervals, has also a major and general influence on the environment. The mobilization of chemical species due to weathering of volcanic rocks, or the input of gaseous components from fumarolic activity, results in some kind of modification of the environment affecting, in particular, water, soils, and the consequent growth of the plants present in these areas. In this paper, an investigation on the chemical composition of fumarolic gases collected at Vulcano island (Sicily, southern Italy) is performed, with the aim to discover how data changes during the monitored period of time, and to design a strategy for the environmental surveillance of volcanic systems taking into account the nature of the analyzed data. In order to summarize the contribution of all the components that can affect the chemical composition of volcanic gases, a multivariate statistical approach appears to be suitable. Since many of those methods assume independent observations, the possible presence of time-dependent structures should be carefully verified. In this framework, given the compositional nature of geochemical data, we have applied recent theoretical and practical developments in the field of compositional data analysis to work in the correct sample space and to isolate groups of parts responsible for significant changes in the gas chemistry. The proposed approach can be generalized to the investigation of complex environmental systems.