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.     

大空间中热隐患的可视化监测

在无人值守的情形下,实现对大型建筑空间内发热物体、火灾等热隐患的智能监测是非常必要的,笔者基于已有的研究成果,讨论了大空间热隐患监测中,高温目标的可视化甄别和温度场的可视化测量原理。利用CCD(电荷耦合器件)的近红外响应特性(800~1200nm)、短波段内单调发射率函数、非相关滤色片构造和归一化数据处理模式等关键技术,使得常见的CCD图像监控设备实现了高温热隐患的非接触、可视化智能监测(即包括高温目标的可视化甄别以及温度场的可视化测量),改进的设备有望推广应用。     

二甲亚砜热稳定性的实验研究

采用先进的绝热加速量热仪为手段,对二甲亚砜的热稳定性进行了系统研究,其内容涉及纯二甲亚砜的热稳定性、加酸碱和硫化物等杂质后二甲亚砜的热稳定性,包括初始放热温度、温升速率、温度-压力等;通过修正试验数据,消除了热惰性因子的影响;得到了二甲亚砜的热稳定性特性。研究表明,在酸、碱存在时,二甲亚砜在室温下即可发生强烈的放热反应,导致二甲亚砜的分解温度提前。该实验研究结果,对二甲亚砜的安全生产工艺过程控制具有重要参考价值。     

典型装饰织物在不同氧浓度下热分析研究

人民生活水平的提高使人民对室内环境的舒适程度提出了更高要求 ,室内装饰织物的用量迅速增加 ,室内装饰织物在燃烧时会释放出大量有毒物质和热量 ,对人及环境构成了巨大危害。因此 ,研究装饰织物的燃烧特性非常重要。笔者利用热重 -差热 (TG -DTA)分析仪对纯棉、棉麻和腈纶这几种典型的装饰织物在不同的氧气浓度 (10 % ,15 % ,2 1% )和升温速率 (10K/min ,30K/min)条件下进行了热重分析 (TG)和差热分析 (DTA)实验 ,研究了它们的燃烧特性 ,并着重进行了不同氧浓度下的对比研究 ,发现试样的燃烧分为两个阶段。建立了以一级反应模型为主的动力学方程 ,并得出了各阶段的动力学参数、表观活化能和频率因子。     

红外光度法测定石油类和动植物油常见问题探讨

根据石油类在波数为2930cm-1、2960 cm-1、3030 cm-1全部或部分谱带处有物征吸收的原理,采用红外光度测油仪和水样絮凝富集技术测定石油类、动植物油。     

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.