山区人为地质灾害问题与思考

人为地质灾害加剧，地质环境恶化，势必阻碍山区经济发展，产生的根源在于人类不妥当的工程经济活动。因此，解决问题的基本途径是从调整人的行为入手，以人为本，综合治理，搞好灾害防治工作，促进山区经济持续发展。     

环境中二噁英的浓度水平及其控制技术

根据近年来二噁英的污染现状,对环境中二噁英的污染浓度水平、污染来源及途径进行了探讨,结果表明:近10年来,二噁英污染浓度水平仍高于检出标准。造纸制浆、漂白继垃圾焚烧后成为主要污染源。在人体危害方面,深入到二噁英对人体基因和染色体有诱导致变作用。根据二噁英的来源和形成机理,按前期预处理、过程控制和后期处理三个阶段,论述了二噁英的污染控制技术,同时提出了对二噁英污染控制措施。     

煤矿排水对枣庄市清凉泉水源地污染作用分析

近年来,随着枣庄市陶枣矿区煤矿资源的大规模开发,矿坑排水对矿区地下水资源及生态环境产生的负面影响愈发突出,尤其是矿坑水沿地表河流排放途中,通过灰岩“天窗”大量灌入岩溶地下水中,造成地处煤田下游的清凉泉水源地水质遭受明显污染,供水水质难以保证。根据矿坑排水量、水源地水质、开采现状等分析认为,对串层污染进行封堵和控制矿坑水排放渠道是防治水源地污染的有效措施。     

713天气雷达数字化系统

本文介绍了用IBM-PC/XT(AT)实现的天气雷达数字化系统的众多功能,分析了系统的工作原理。对于几个关键的技术问题——高速数据录取、软件数字视频积分、地物杂波抑制、座标变换及图象传输,分别给出了解决的方法和详尽的程序方框图。     

衡山自然保护区森林土壤中动物群落研究

作者通过一年的定位实验研究，初步阐明了衡山自然保护区森林土壤中动物群落的基本状况。共获得土壤动物30类，隶属于4门11纲，其中弹尾类、蝉螨类和线虫类为优势类群，占全部土壤动物捕获量的92.88％；平均土壤动物密度为67.27万个/m~3；地带性常绿林下发育的黄棕壤中土壤动物密度高达100.47万个/m~3，其次为针阔混交林和针叶林；土壤动物主要分布于森林凋落物层和土壤的腐殖质层中，向下急剧减少；在山地土壤垂直带上，土壤动物随海拔高度而变化。     

WILD PPO-8制作正射影象图的实时控制

本文从倾斜象片与水平象片的透视关系出发,考虑A_8精密立体测图仪的转角系关,导出了模拟计算机比例尺缩放和影象旋转改正公式和实际运算公式,进而阐述了PPO-8正射投影装置是如何实现对ZOOM系统和DOVE系统两个基本公式的控制。     

PROBLEMS OF THE AQUATIC ENVIRONMENT AND COUNTERMEASURES IN RAPID ECONOMIC DEVELOPMENT IN THE ZHUJIANG RIVER DELTA

ＰＲＯＢＬＥＭＳＯＦＴＨＥＡＱＵＡＴＩＣＥＮＶＩＲＯＮＭＥＮＴＡＮＤＣＯＵＮＴＥＲＭＥＡＳＵＲＥＳＩＮＲＡＰＩＤＥＣＯＮＯＭＩＣＤＥＶＥＬＯＰＭＥＮＴＩＮＴＨＥＺＨＵＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡ￥ＷｅｎＹａｎｍａｏ（温琰茂）；ＣｈｅｎｇＧｕｏｐｅｉ...     

APPLICATION OF PATTERN RECOGNITION TO SPECIATION DATA OF HEAVY METALS IN SUSPENDED PARTICULATES OF URBAN AIR

In order to get a better knowledge of the air pollution levels of the urban air of Barcelona,twelvesamples from three stations of the air-monitoring control network were analysed.Each control station isrepresentative of a different environmental situation.Thus the station at Plaa Molina responds to asimple domestic and urban traffic situation;the station at Poble Nou to the influence of medium andsmall industries,mainly metallurgical;and the station at Montcada to a zone in which there existimportant industries,a cement factory,two highways and railroads.The total content of unsedimentable particles,three inorganic anions(chlorides,sulphates andnitrates)and six heavy metals(Fe,Pb,Cu,Mn,Cr and Cd)were determined on all the samples obtainedduring the same period of time.The use of an analytical scheme of sequential extraction has alsopermitted the subdivision of the total content of each metal into the following four fractions:(1)solubleor exchangeable;(2)associated with carbonates and/or with iron and manganese oxides;(3)bound toorganic matter;and(4)residual.The use of principal component analysis applied to the data as a whole showed the associations andcorrelations between the various parameters as well as between the different above mentioned fractions.The predominant presence of Cd in the‘soluble or exchangeable’fraction is confirmed,while the othermetals are mainly associated with the‘carbonates and/or Fe and Mn oxides’and‘bound to organicmatter’fractions.Hierarchical cluster analysis applied to the twelve samples showed clearly the presence of threedifferent classes closely related to the origin(station)of the samples.Thus it becomes feasible to proposefor each station a possible profile of the content in terms of the different parameters considered.     

Statistical control chart for regime identification in volcanic time series

In an important paper, Mulargia et al. (1987) address the importance of quantitative and objective identification of different regimes of a volcano. They develop a procedure based on the two-sample Kolmogorov-Smirnov (K-S) statistic. The K-S test is a general-purpose test that discriminates between two data sets as belonging to two different regimes based on their empirical distribution functions. The empirical distribution function is designed to describe the aggregate behavior of the volcanic activity, and it is constructed from the orders of the length of the collected repose times in each data set. In this article, we use the idea of statistical process control to distinguish between the variation inherent in the observed repose times and the extraordinary variation that signals a real change in the regimes. We construct a table of control limits, and we demonstrate the procedure of regime identification based on a simple control chart. It shows a point outside the control limits almost as soon as the process enters a new regime. The basis of the statistical process control mechanism is a simple Poisson process, which is state of the art. The proposed control charting procedure is an eruption by eruption procedure, which follows the original chronological order of the eruptions. This procedure is applied to the eruptive history of the Mount Etna volcano. The application shows schematically that the procedure presents a visual interpretation of the identified regimes and can be practically translated for tabular or manual use.