露天矿非工作帮移动监测及滑坡规律性讨论

根 据 某露 天 煤 矿 非工 作 帮 移 动监 测 的 多 年资 料 ,总 结 出 露 天矿 非 工 作 帮的 监 测 方 法,并 初 步探 讨 了 露 天 矿非 工作 帮 移动 滑坡 的 规律 性。     

地球化学场精细结构解析方案与应用

为满足勘查地球化学对化探数据处理越来越精细的要求，把人工神经网络和统计分析结合起来形成地球化学场精细结构解析方案。该方案包括对地球化学样品的分类和对各类样品性质的详细研究，目的在于提供便捷的数学和计算机软件工具，以提取化探数据中的深层信息。可以用于：①研究各组样品中元素含量水平和组合特征以解释可能的矿种；②研究元素组合特征与指示元素的关联和区别以揭示可能的成矿作用过程；③研究异常样品的空间组合属性以揭示地球化学场的精细结构；④研究异常样品之间的差异性以缩小找矿靶区；⑤综合分析以确定剥蚀深度和找矿前景。该方案也适用于环境地球化学及矿产资源预测研究。     

立井变形监测与治理

针 对 我国 部 分 统 配煤 矿 立 井 变形 情 况 ,介 绍 了 立井 破 坏 和 变形 两 种 类 型的 原 因 、预 计 方 法 、监 测 方法 及 治 理方 案,对于 立 井的 变形 监 测与 治理 工 作具 有一 定 的借 鉴意 义 。     

Horizontal crustal movement in Chinese mainland from 1999 to 2001

The paper introduces the horizontal crustal movement obtained from GPS observations in the regional networks (including the basic network and the fiducial network) of the Crustal Movement Observation Network of China (CMONOC) carried out in 1999 and 2001. This paper is characterized by the acquisition of the horizontal displacement velocities during the period from 1999 to 2001 at the observation stations in the regional networks with datum definition of a group of stable stations with small mutual displacements in east China. Based on the most detailed map of horizontal crustal movement in Chinese mainland, the division of blocks, their displacements and deformations are studied. An approach to analysis of the intensity of the horizontal crustal deformation is proposed. The general characteristics of the recent horizontal crustal movement in Chinese mainland and that before the Kunlunshan earthquake of M=8.1 on November 14, 2001 are analyzed. Foundation item: The National Development and Programming Project for Key Basic Research (95-13-03-07).     

Correlation of seismic activity and fumarole temperature at the Mt. Merapi volcano (Indonesia) in 2000

In this paper we present densely sampled fumarole temperature data, recorded continuously at a high-temperature fumarole of Mt. Merapi volcano (Indonesia). These temperature time series are correlated with continuous records of rainfall and seismic waveform data collected at the Indonesian–German multi-parameter monitoring network. The correlation analysis of fumarole temperature and precipitation data shows a clear influence of tropical rain events on fumarole temperature. In addition, there is some evidence that rainfall may influence seismicity rates, indicating interaction of meteoric water with the volcanic system. Knowledge about such interactions is important, as lava dome instabilities caused by heavy-precipitation events may result in pyroclastic flows. Apart from the strong external influences on fumarole temperature and seismicity rate, which may conceal smaller signals caused by volcanic degassing processes, the analysis of fumarole temperature and seismic data indicates a statistically significant correlation between a certain type of seismic activity and an increase in fumarole temperature. This certain type of seismic activity consists of a seismic cluster of several high-frequency transients and an ultra-long-period signal (<0.002 Hz), which are best observed using a broadband seismometer deployed at a distance of 600 m from the active lava dome. The corresponding change in fumarole temperature starts a few minutes after the ultra-long-period signal and simultaneously with the high-frequency seismic cluster. The change in fumarole temperature, an increase of 5 °C on average, resembles a smoothed step. Fifty-four occurrences of simultaneous high-frequency seismic cluster, ultra-long period signal and increase of fumarole temperature have been identified in the data set from August 2000 to January 2001. The observed signals appear to correspond to degassing processes in the summit region of Mt. Merapi.     

Public participation in monitoring programmes as a tool for lakeshore monitoring: the example of Lake Pyhäjärvi, Karelia, Eastern Finland

Lake Pyhäjärvi, on the border between Finland and Russia in Karelia, is a very valuable clear-water lake of the Lobelia type. It belongs to the European Union's Natura 2000 programme in Finland, and has been included in regional and national monitoring programmes since the 1960s. The main monitoring station is situated near the outlet of the lake. Deterioration of its water quality was suspected already in the 1980s because of decreasing Secchi depths (transparency) and increasing chlorophyll a.The occurrence of algal blooms on the lakeshores is monitored weekly during each summer at one site on Lake Pyhäjärvi (site 1). This is a part of nationwide intensive algae monitoring programme organised by the environmental authorities together with voluntary observers at some 270 lake sites in Finland since 1998. Since 1997, Secchi depth observations have been carried out by volunteers biweekly or monthly at 17 sites on the lake. In the vicinity of one of these transparency observation sites (station 100), intensive monitoring of algae has been carried out. At this lakeshore monitoring site 69 algal observations were made, ten of which recorded algal blooms during the study period 1998–2002. The observed algal blooms were caused by algae of the Anabaena species, mainly by Anabaena lemmermannii. At Lake Pyhäjärvi the number of algal bloom observations received from the public have decreased from the 1990s to the 2000s. The range of Secchi disc transparency was 5.0–8.4 m with a mean value of 6.2 m at station 100 and 4.3–7.7 m (mean 6.1 m) at the main monitoring station 2 during the open water periods in 1998–2002. During this study period, the maximum values at site 100 seem to have increased slightly, which might indicate some improvement in the water quality due to decreased point source loading.We conclude that the intensive algal monitoring results of 5 years at the lakeshore site and the transparency results — both compiled by trained volunteers — reflect an improvement in the state of Lake Pyhäjärvi in Karelia. This conclusion is in accordance with the long-term water quality and short-core studies of sedimentary diatoms in Lake Pyhäjärvi. We suggest that the intensive algal observations and transparency measurements are both suitable methods for the monitoring of lakeshores and lakes, and that both are suitable for voluntary monitoring. We found public participation a good tool for monitoring lakes and lakeshores.     

鹤壁市春旱动态监测及分析

利用鹤壁市淇县1971～2000年降水、底墒、蒸发资料，建立了适用于对春旱进行实时业务监测的动态模型；根据干旱指数大小确定春旱等级，并通过实例对比分析证实干旱指数在分析干旱动态演变过程中的作用。     

神经网络在判别煤矿突水水源中的应用

矿井突水水源的识别是矿井防治水工作的基础，快速准确地判别突水的来源对整个矿井的安全生产起着十分重要的作用。以峰峰矿区梧桐庄矿为例，应用神经网络的方法，对矿井突水水源进行了系统研究。结果表明，运用该方法取得了较好的效果，并可以用此模型来解决类似的评价和判别问题。     

人工神经网络在岩体质量分级中的应用

结合四川省金沙江某水电站工程实例，应用BP人工神经网络方法建立3层BP网络模型，选取岩石单轴抗压强度等6个影响因素为输入变量，对坝基复杂岩体进行质量分级。通过机算机Visual C 语言编程实现神经网络模型，进行网络的学习和运算。以神经网络合理结构分析方法选取合理结构，确定合理隐层单元的数量，提高网络测试的精度。对测试结果的分析发现，经过优化的BP网络模型经多次学习后，测试精度提高，结果可靠，取得较好的实际应用效果。     

天目湖热力学状况的监测与分析

根据2001年6月～2002年5月在天目湖进行的每月一次的全湖水温观测以及2002年5月25～26日在1号点的定点24h连续水温观测资料,分析研究了天目湖水温时空分布、垂直分布、温跃层的形成与变化以及湖泊热力学对溶解氧、营养盐的影响,揭示了各自的基本变化规律。结果表明:天目湖水温的日变化、年变化及垂直分布明显,而其水平差异不大;温跃层随着季节的变化而呈现增强-稳定-减弱-消失的周期变化;水温的变化以及温跃层的存在引起了水中溶解氧以及营养盐的变化。