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。     

物元分析法在大气环境质量评价中的应用

应用物元分析方法构建大气环境质量的综合评价模型，并将该方法用于唐山市大气环境质量评价中，获得了与实际情况基本符合的评价结果。     

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.     

野生一年蓬的开发利用

阐述了野生植物一年蓬的植物学特性、分布习性、化学成分、开发利用价值等，为其进一步开发利用乃至产业化、现代化生产提供参考。     

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.     

基于可靠度和性能的结构整体地震易损性分析

地震风险分析包括地震危险性分析、地震易损性分析和地震灾害损失评估3个方面，其中，地震易损性分析可以预测结构在不同等级地震作用下发生各级破坏的概率，因此对结构的抗震设计、加固和维修决策具有重要的应用价值。传统的结构地震易损性分析主要采用经验方法或蒙特卡洛模拟法绘制地震易损性曲线。首先介绍地震风险分析的基本原理，然后提出结构整体地震易损性的概念，针对传统方法存在的问题，将结构的可靠度方法与基于性能的抗震设计理论结合起来，提出了基于可靠度和性能的结构整体地震易损性分析方法，并采用有限元可靠度方法进行了结构地震易损性的计算。以结构的最大层间相对变形作为整体性能指标，对某5层2跨钢框架结构进行了地震易损性分析，绘制了其在不同地震作用下对应不同性能水准要求的地震易损性曲线。     

港口安全管理评估量化研究

对港口安全管理体系进行量化评估,不仅可推进体系的不断完善,更可促进港口企业建立健全安全生产的自我约束机制。笔者在港口安全管理体系研究的基础上,综合考虑各类港口的不同情况,运用改进的层次分析法(AHP),建立港口安全管理体系的递阶层次结构模型和构造判断矩阵;通过对沿海,内河,大、中、小港口的调查和方根法数值计算,确定评估体系中各评估要素、评估要点的权值;提出了保障港口安全生产的港口安全管理体系基本评估要点;研究完成量化的港口安全管理评估系统。该评估体系可定量评估港口安全生产状况、港口安全生产程度,及时发现港口在安全生产及安全管理方面存在的隐患、不足与缺陷等问题,从而可及时而有效地预防和控制港口系统重大事故的发生。     

活性粉末混凝土(RPC)箱梁剪力滞效应有限元分析

笔者对为青藏线设计的 32m铁路预应力活性粉末混凝土单箱单室箱梁进行了有限元分析 ,对其剪力滞分布规律进行了研究 ,并且分析了不同工况对梁剪力滞效应的影响。分析结果表明预应力活性粉末混凝土箱梁具有一定的剪力滞效应 ,剪力滞系数在 1.0～ 1.1之间。笔者得到的结果可以为今后活性粉末混凝土梁的设计提供参考 ,这对于加速箱梁剪力滞理论的深入研究 ,为大跨、新型桥梁结构的性能评价提供正确的分析有一定的参考价值。     

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.