无线数据传输技术在列车安全监控系统中的应用

笔者将GSM网的无线数据传输技术成功应用到列车安全监控系统中 ,系统监测数据经转储发送系统中转 ,由移动台系统实时、无线传输到基站微机系统 ,通过VC ++语言编制的软件系统实时统计分析数据 ,来监控列车运行状况 ,达到列车安全运行的目标。在列车安全监控系统中 ,不仅实现了数据无线实时传输 ,而且提高了工作效率和减轻了工作强度。在济南铁路局装车试验并广泛使用 ,表明了无线数据传输技术应用到列车安全监控系统中具有较高的可靠性和实用性     

新疆强对流暴雨的气候特征和概率分布模式研究

应用1980—2001年的6h降水量资料和雨量时程方程，首次给出了新疆地区强对流暴雨的划分标准；分析了强对流暴雨的气候特征、大气环流背景、影响系统、变化趋势和概率分布模式；发现，20世纪90年代强对流暴雨次数有明显的增加，Poisson分布拟合强对流暴雨频率分布尚好，还计算了各地每年(雨季)强对流暴雨发生n次以上的概率。     

利用WEBGIS实现地震灾害信息数据的管理

介绍了WEBGIS技术的特点、基本原理和实现方法，及其在管理海量地理数据中的优势，并构建了基于WEBGIS的地震灾害信息数据的主体框架。     

四川石油天然气工业环境统计体系现状分析及改进对策

针对四川石油天然气工业环境统计中存在的非稳定污染源监测数据的统计价值不高，统计调查方法单一，个别统计指标计算未使用国家统一标准等现状，从环境监测站改组入手，改革统计调查方法，建立以必要的周期性普查为基础，以经常性的抽样调查为主体，同时辅之以全面统计报表，重点调查和科学推算综合运用的统计调查方法体系。     

Using digital image projections to visualize forest landscape changes due to management activities and forest growth

A pedagogic problem in forestry and landscape management is to visualize future landscape effects of forest growth and current management activities in the forest. This paper presents a method for forecasting digital image projections of forest landscape dynamics. Static nonlinear regression functions estimate the digital numbers in a Landsat Thematic Mapper image. Regressors used are forest stand variables. By estimating the future forest stand data, based on intermediate treatment and growth, future satellite digital images are created. In a case study example, the future landscape of a forest block in the province of Västernorrland, Sweden, is projected to demonstrate the application of this visualization technique.     

基于C/S的三峡云阳-巫山段滑坡数据管理系统

长江三峡云阳-巫山段是三峡库区滑坡分布密集灾情严重的一个区域,随着库水位抬升到135 m以及今后的175 m,势必会加剧原有滑坡以及危险斜坡的不稳定性.本研究是在前期工作的基础上,开发出用以管理研究区数量繁多灾害点的管理系统.     

气候条件变化对棉纤维品质的影响

对棉纤维品质试验的结果分析表明，其长度受气候条件的影响不明显，而比强度和麦克隆值则明显受气候条件的影响。从变异值分析，受气候影响大小顺序是：比强度〉发克隆值〉长度。影响比强度的气候因子主要是日均温、累积降水量和相对湿度，影响麦克隆值的气候因子主要是日均温和累积降水量或夜均温、累积降水量。并确定影响比强度的日均温最低临界值为24．5℃，最适值为26．1℃，铃期累积降水量的最高临界值为109．9mm，最适值为44．6mm，栩对湿度的最高临界值为77．7％，最适值为67．9％。麦克隆值适宜范围的日均温为20．5～24．8℃，累积降水量为108．2～308．2mm。长度适宜范围的最低温度为14．7～20．8℃，相对湿度为84．7％～89．5％。这些因子和指标的确定为建立棉纤维品质的定量模型奠定了基础。     

近42年成都地区雷暴的气候统计特征

利用成都地区5个测站1959—2000年的雷暴观测资料，通过数理统计和小波分析，研究了成都地区雷暴的气候特征。结果显示：成都地区年雷暴日数较多，年际变化较大，年雷暴日数有减小的变化趋势，每10a雷暴日数减少近4d；成都地区的雷暴有很强的季节性特点，集中出现在4—9月的5个月中，而夏季6，7，8三个月占7成以上；成都地区雷暴初日普遍在4月中旬，终日普遍在10月中旬，雷暴初／终日年际间差异很大。从小波分析结果看，成都、金堂、双流和蒲江4站近42a年来雷暴日数在1982年以前有12a左右的震荡周期，1982年以后表现为6a左右的周期；都江堰的年雷暴日数分布特征和其他4个测站有较大不同，主要表现为15a的震荡周期。     

NITRATE CONCENTRATIONS IN ILLINOIS RIVERS 1967 TO 1974: COMPARISON AMONG REPORTING AGENCIES1

ABSTRACT: Long term data on surface water quality can sometimes be assembled by combining data collected by different agencies at different times and assuming that between agency differences in data quality are insignificant. The objective of this paper was to assess the quality of riverine nitrate (NO₃) concentrations in Illinois measured and reported by four agencies from 1967 to 1974 by comparing median values for similar sampling locations and periods. A total of 17 river reaches were identified for which two agencies reported NO₃ concentrations during similar periods. Nonparametric comparison of median values and analysis of covariance with discharge as a covariant produced similar results. Nitrate concentrations reported by the U.S. Geological Survey (USGS) from 1967 to 1971 were not statistically (P > 0.05) different from values reported by the Illinois State Water Survey (ISWS) for two of three river reaches. Additionally, NO₃ concentrations reported by USGS from 1972 to 1974 were not statistically different than concentrations reported by the Illinois Environmental Protection Agency (IEPA) for four of five river reaches. From 1969 to 1971, NO₃ concentrations reported by the Illinois Department of Public Heath and the Illinois Environmental Protection Agency (IDPH/IEPA) were less than one‐fourth the magnitude of values reported by ISWS. The median NO₃ concentrations measured by the Central Illinois Public Service (CIPS) were significantly greater than those measured by USGS and IDPH/IEPA in the three comparable sampling locations. The use of NO₃ concentrations measured by CIPS and IDPH/IEPA prior to 1972 is not recommended.     

AN EVALUATION OF THE AVAILABLE TECHNIQUES FOR ESTIMATING MISSING FECAL COLIFORM DATA1

ABSTRACT: This paper presents the findings of a study aimed at evaluating the available techniques for estimating missing fecal coliform (FC) data on a temporal basis. The techniques investigated include: linear and nonlinear regression analysis and interpolation functions, and the use of artificial neural networks (ANNs). In all, seven interpolation, two regression, and one ANN model structures were investigated. This paper also investigates the validity of a hypothesis that estimating missing FC data by developing different models using different data corresponding to different dynamics associated with different trends in the FC data may result in a better model performance. The FC data (counts/100 ml) derived from the North Fork of the Kentucky River in Kentucky were employed to calibrate and validate various models. The performance of various models was evaluated using a wide variety of standard statistical measures. The results obtained in this study are able to demonstrate that the ANNs can be preferred over the conventional techniques in estimating missing FC data in a watershed. The regression technique was not found suitable in estimating missing FC data on a temporal basis. Further, it has been found that it is possible to achieve a better model performance by first decomposing the whole data set into different categories corresponding to different dynamics and then developing separate models for separate categories rather than developing a single model for the composite data set.