氨气敏电极法和纳氏试剂分光光度法对地表水中氨氮的比对测试

采用不同质量浓度的氨氮标准样品和实际样品,用氨气敏电极法和纳氏试剂分光光度法进行同步测试。结果表明,2种分析方法在水样氨氮质量浓度在0. 159～2. 81 mg/L范围内具有良好的可比性、精密性和准确性。氨气敏电极法的检出限为0. 03 mg/L,平行6次测定样品的相对标准偏差为0. 4%～4. 2%,加标回收率为85. 0%～110%;纳氏试剂分光光度法的检出限为0. 025 mg/L,平行6次测定样品的相对标准偏差为0. 5%～6. 4%,加标回收率为93. 0%～99. 8%。同时氨气敏电极法在样品预处理、试剂配制和分析时间上要优于纳氏试剂分光光度法。氨气敏电极法能够满足地表水自动监测在线比对实际工作的需求,该方法具有良好的适用性。     

湘江干流水环境健康风险评价

为研究湘江水环境污染对人体健康产生的危害风险,在简要介绍健康风险评价方法及国内外研究、应用进展的基础上,建立了水环境健康风险评价模式,应用2000年的水质监测资料,对湘江干流主要断面进行了水环境健康风险评价.结果表明,在所评价断面中,非致癌物质由饮水途径所致健康危害的个人年风险按大小排列为Pb＞Hg＞NH3＞酚;化学致癌物质由饮水途径所致健康危害的个人年风险按大小排列为As＞Cd;化学致癌物质对人体健康危害的个人年风险远超过非致癌物质;污染最为严重的为松柏断面,其次是五星断面和三叉矶断面.湘江干流衡阳以上江段水质良好,衡阳以下江段水质较差.研究对湘江干流水污染防治方略的制定具有一定价值.     

Risk assessment of safety level in university laboratories using questionnaire and Bayesian network

Accidents in university laboratories not only create a great threat to students’ safety but bring significant negative social impact. This paper investigates the university laboratory safety in China using questionnaire and Bayesian network (BN) analysis. Sixteen influencing factors for building the Bayesian net were firstly identified. A questionnaire was distributed to graduate students at 60 universities in China to acquire the probability of safe/unsafe conditions for sixteen influencing factors, based on which the conditional probability of four key factors (human, equipment and material, environment, and management) was calculated using the fuzzy triangular theory and expert judgment. The determined conditional probability was used to develop a Bayesian network model for the risk analysis of university laboratory safety and identification of the main reasons behind the accidents. Questionnaire results showed that management problems are prominent due to insufficient safety education training and weak management level of management personnel. The calculated unsafe state probability was found to be 65.2%. In the BN analysis, the human factor was found to play the most important role, followed by equipment and material factor. Sensitive and inferential analysis showed that the most sensitive factors are personnel incorrect operation, illegal operation, and experiment equipment failure. Based on the analysis, countermeasures were proposed to improve the safe management and operation of university laboratories.     

Dynamic-risk-informed safety barrier management: An application to cost-effective barrier optimization based on data from multiple sources

An integrated approach for performance assessment and management of safety barriers in a systemic manner is needed concerning the prevention and mitigation of major accidents in chemical process industries. Particularly, the effects of safety barriers on system risk reduction should be assessed in a dynamic manner to support the decision-making on safety barrier establishments and improvements. A simulation approach, named Simulink-based Safety Barrier Modeling (SSBM), is proposed in this paper to conduct dynamic risk assessment of chemical facilities with the consideration of the degradation of safety barriers. The main functional features of the SSBM include i) the basic model structures of SSBM can be determined based on bow-tie diagrams, ii) multiple data (periodic proof test data, continuous condition-monitoring data, and accident precursor data) may be combined to update barrier failure probabilities and initiating event probabilities, iii) SSBM is able to handle uncertainty propagation in probabilistic risk assessment by using Monte Carlo simulations, and iv) cost-effectiveness analysis (CEA) and optimization algorithms are integrated to support the decision-making on safety barrier establishments and improvements. An illustrative case study is demonstrated to show the procedures of applying the SSBM on dynamic risk-informed safety barrier management and validate the feasibility of implementing the SSBM for cost-effective safety barrier optimization.     

环境监测实验室空气中汞污染与防治

采用冷原子吸收法,使用便携式测汞仪对实验室空气中汞的浓度进行测定,监测结果表明,环境监测实验室空气中汞的污染较为严重,主要来源于COD、氨氮、大气中氨及汞样品测定时含汞试剂及汞标液的使用和含汞废液的排放。根据对监测结果的评价和分析提出了相应的防治措施,提醒实验室的管理及分析人员,要增强环境保护意识,加强实验室的管理,减少含汞及其它有毒废液的排放,改善实验室的环境空气质量,保护分析人员的身体健康。     

贵州省土壤环境质量监测存在问题及对策

结合贵州省近年来土壤环境质量监测实践,从土壤环境监测方案制定、评价标准、常规监测和应急监测能力建设等方面分析了贵州省土壤环境质量监测存在的问题,指出加强土壤常规监测和土壤应急监测能力的相关举措,提出科学制定土壤环境监测方案、提高监测报告可用性等方面的建议。     

固定污染源废气监测工况核查重点

在多年废气固定污染源监测工作经验的基础上,对装置和设施的生产运行状态（即工况）影响固定污染源监测结果质量的因素进行了分析和总结,提出了相关的工况核查重点及方法。     

阿什河干流(道外香坊段)防洪及河道生态治理工程生态影响分析简述

通过分析阿什河干流生态环境现状,进行工程建设对生态环境的影响分析,并提出了相应的生态保护措施和建议。     

齐齐哈尔市建华区餐饮业噪声污染特点及防治对策

近年来城区餐饮业发展迅速,引发了一系列的环境问题。阐述了餐饮业噪声污染现状,产生污染的原因,并就如何解决这些问题提出了意见。     

A new pre-assessment model for failure-probability-based-planning by neural network

At present, the prediction of failure probability is based on the operation period for laid pipelines, and the method is complicated and time-consuming. If the failure probability can be predicted in the planning stage, the risk assessment system of gas pipeline will be greatly improved. In this paper, the pre-laying assessment model is established to minimize risk of leakage due to piping layout. Firstly, Fault Tree Analysis (FTA) modeling is carried out for urban natural gas pipeline network. According to expert evaluation, 84 failure factors, which can be determined in the planning stage, are selected as the input variables of the training network. Then the FTA model is used to calculate the theoretical failure probability value, and the failure probability prediction model is determined through repeated trial calculation based on BP (Back Propagation Neural Network) and RBF (Radial Basis Function), for obtaining the optimal network parameter combination. Finally, two prediction models are used to calculate the same example. By comparing our pre-assessment model with the theoretical prediction consequences of the fault tree, the results show that the error of RBF prediction model can be close to 3%, which proves the validity and correctness of the method.