两点校正法的正确选择

在应用两点校正中，计算相对偏差在选择浓度点上有不同选法：相对偏差计算公式也有不同选法，导致计算结果没有可比性。本文用校准曲线及相对偏差概念，论述了应用两点校正法校正校准曲线如何正确选择浓度点及计算公式。     

TOPHAZOP: a knowledge-based software tool for conducting HAZOP in a rapid, efficient yet inexpensive manner

Hazard and operability (HAZOP) studies constitute an essential step in the risk analysis of any chemical process industry and involve systematic identification of every conceivable abnormal process deviation, its causes and abnormal consequences. These authors have recently proposed optHAZOP as an alternative procedure for conducting HAZOP studies in a shorter span of time than taken by conventional HAZOP procedure, with greater accuracy and effectiveness [Khan, F. I. and Abassi, S. A., optHAZOP. An effective and efficient technique for hazard identification and assessment Journal of Loss Prevention in the Process Industries, 1997, 10, 191–204]. optHAZOP consists of several steps, the most crucial one requires use of a knowledge-based software tool which would significantly reduce the requirement of expert man-hours and speed up the work of the study team. TOPHAZOP (Tool for OPTmizing HAZOP) has been developed to fulfil this need.

The TOPHAZOP knowledge-base consists of two main branches: process-specific and general. The TOPHAZOP framework allows these two branches to interact during the analysis to address the process-specific aspects of HAZOP analysis while maintaining the generality of the system. The system is open-ended and modular in structure to make easy implementation and/or expansion of knowledge. The important features of TOPHAZOP and its performance on an industrial case study are described.     

基于速度的交通事故分析

速度对交通事故的发生以及严重程度有着直接影响,是道路交通事故的重要诱因之一。为了准确地反映速度与事故之间的关系,减轻由于速度因素所造成的交通事故的损失,笔者对国内外速度与交通安全的情况进行分析;研究了平均速度与事故危险性、速度离散度与事故率以及速度与事故严重性的关系;提出了加强速度管理,控制交通流平均速度和减小相邻路段的速度差值的对策。基于速度的交通事故分析,建议采用85%位车速作为控制速度的上限值;提出限速措施,以达到减少交通事故及其损失的目的。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.     

CEMS比对监测数据偏差研究

简述CEMS比对监测技术背景,总结实际监测工作中导致数据偏差的各方面因素,分析问题产生原因并提出解决措施和建议。     

山区和平原连接处SF6试验及扩散规律研究

为更好了解污染物在复杂地形条件下的湍流扩散规律,2010年9月开展了一系列SF6示踪扩散试验,获取了SF6浓度数据,以此实验数据为基础,计算出SF6浓度分布在水平和垂直方向的扩散标准差、地面峰值浓度等参数,并与P-T-C扩散参数进行对比,总结得出了污染物在山区和平原连接处中性、稳定、强稳定等气象条件下湍流扩散规律。     

Determination of alkali-labile phosphoprotein phosphorus from fish plasma using the Tb^3＋-tiron complex as a fluorescence probe

A sensitive method based on the fluorescence quenching effect of the Tb^3＋-Tiron complex is proposed for the determination of alkali-labile phosphoprotein phosphorus （ALP） released from fish plasma. The detection limit was 5.4 ng/ml （S/N=2）, and the relative standard deviation of the quenching effect （6 replicates） was 4.6%. The results obtained by the proposed method were in good agreement with those obtained by the colorimetric assay. The advantages of the present method are its relatively simple detection procedure, the lack of toxic organic solvents, and high sensitivity.     

有害物质环境测试组合舱的研制及性能评价

研制了一种新型有害物质环境测试组合舱,该测试舱由舱体系（内舱和外舱）、恒温恒湿空气处理系统、空气循环装置和信号控制与处理软件组成。该测试舱具有可分别使用内舱和外舱对样品进行测试的特点,并采用美国FLUNT公司开发的air pack软件包对内舱和外舱的气流进行模拟与计算,并划分出内舱的层流区域,同时也对舱体系的性能进行了测试与评价。结果表明,有害物质环境测试组合舱的温湿度的相对标准偏差分别为0.04℃和0.7%,混合性达到90.7%。因此,该有害物质环境测试组合舱对温湿度控制精准,气流稳定,混合性能良好,能为室内空气污染研究提供条件稳定的室内仿真环境。     

水质自动监测中的质量保证与质量控制

质量保证与质量拉制是水质自动监测中十分重要的技术工作和管理工作，包括人员素质、运行与管理机制、试剂与标准溶液的配制及文件记录等。在实际工作中，监测人员可根据仪器的运行状况，定期对仪器进行校准、标准溶液的棱查、比对实验验证及试剂有效性检查，用以检查仪器的基线飘移情况。如果分析中出现一个异常值，它的前后均为正常值，这种数值大多是由仪器的进样、仪器内部试剂传输等原因所致，如果发生原因不明的数据异常，就要及时检查系统的各个环节并采集实际水样进行人工分析，直至查清原因，剔除异常值，并在周报中加以说明，以确保上报数据的准确性、精密性和可比性。     

WATER BUDGET COMPUTATION FOR A SHALLOW LAKE-LAKE OKEECHOBEE,FLORIDA1

ABSTRACT: The water budget computation in shallow lakes is complicated because marsh vegetation can transpire large quantities of lake water. Thus, a model including the marsh zone evapotranspiration (WET) was developed to compute the water budget for Lake Okeechobee. Three periods of testing (1969–74), planning (1963–74), and recorded period (1952–77) were used to compare the differences of the sum of storage deviation between the WET and conventional methods (WOET). Results of the WOET method showed that the sum of stage deviations were 87.42 cm (2.868 ft.), 231.80 cm (7.605 ft.), and 284.50 cm (9.333 ft.) in the testing, planning, and recorded periods, respectively. These stage deviations are equivalent in the same order to 29, 76, and 93 percent of the lake volume. In general, the WET method not only was applicable to compute the water budget for the lake but also reduced the sum of storage deviation by about 42, 31, and 49 percent, respectively, in those three periods. The storage deviation in WET method was reduced on an average to about 2 percent each year in all three periods, and the deviations were scattered more randomly than in WOET.