Experiment and simulation research of evolution process for LNG leakage and diffusion

The frequent occurrence of LNG leakage accidents has caused serious economic loss and environmental damage. Experiments and simulations can be combined to obtain the transient process of LNG leakage and diffusion. This paper analyzed LNG leakage diffusion rules with experiment results obtained by depleting 1.4t LNG. The vapor clouds and LNG concentration are measured, which can be a comparison with the simulation results. Computational fluid dynamics and gas diffusion theory were chosen as the theoretical basis, simulating the transient process of LNG gasification to obtain the diffusion concentration rules. The simulation of LNG diffusion is divided into two parts: LNG leakage at the source and atmospheric diffusion. The maximum concentration of methane in the experiment was 4.1%, and the maximum concentration in the simulation was 4.6%. The results show good agreement of the deviation statistics, which fall in the standard recommendation value range. Then we make a prediction of the dangerous concentration area and the flammability hazard zone of LNG leakage accident. The simulation results show that the range of the lower wind direction danger area firstly increases and then decreases, and the maximum distance of IDLH increases firstly and arrived at the peak of 52  m at 300s.     

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.     

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。     

Development and application of LC–APCI–MS method for biomonitoring of animal and human exposure to imidacloprid

Imidacloprid (IMI) is a relatively new neuro-active neonicotinoid insecticide and nowadays one of the largest selling insecticides worldwide. In the present study a LC–APCI–MS based method was developed and validated for the quantification of imidacloprid and its main metabolite 6-chloronicotinic acid (6-CINA) in urine and hair specimens. The method was tested in biomonitoring of intentionally exposed animals and subsequently applied for biomonitoring of Cretan urban and rural population.     

基于2GW-HAZOP与偏离度的输气站降压排污作业风险评估*

为预防输气站降压排污过程中发生事故,提出1种基于2GW-HAZOP与偏离度的作业过程风险评估方法。在HAZOP方法的基础上定义作业偏差,将传统7种工艺参数偏差引导词映射到1个偏差二元组中;通过将作业过程节点功能作为参量,采用节点跨越和节点功能偏离2种引导词,从而构建节点功能偏差;进一步通过定义功能偏离度和控制措施偏离度对偏差进行量化处理,表征风险水平;将方法应用于降压排污作业过程的风险评估中,可分析得到偏离度大的作业过程节点。结果表明:分离器放空不充分、排污池液位过高或过低、排污结束未检查泄漏情况的偏离度较大,需加强风险控制。     

盐胁迫条件下好氧颗粒污泥生长模式研究

研究了含盐量分别为1%、2.5%、5%条件下颗粒污泥成长特性,对其表面结构、粒径分布与稳定性进行了评估.结果表明,在颗粒成长初期颗粒较为疏松,粒径和离散度均呈增大趋势;颗粒成熟后粒径密实度增大,粒径大多稳定在0.3～0.5 mm左右.成熟的颗粒污泥在含盐量1%下颗粒孔隙率较大,离散度较小,菌胶团细菌占优势,微生物通过胞外多聚物相互聚集,其稳定性较好;而在含盐量5%下其孑L隙率和离散度呈现相反趋势,丝状菌占优势,颗粒通过丝状菌的相互缠绕形成,其稳定性较差;但在含盐量2.5%下由于菌胶团细菌与丝状菌均未成为优势菌群,难以维持稳定结构,颗粒发生膨胀自溶,其离散度也变大.研究提出了同质和异质2种生长模式,颗粒粒径分布较窄的成长模式称为同质生长,其颗粒的生长及基质利用条件基本相同,故系统稳定;而颗粒粒径分布较宽的成长模式称为异质生长,其颗粒生长和基质利用条件差异性大,故系统不稳定.     

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。     

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。     

高加速应力试验装置技术参数的测量

气锤驱动的高加速应力试验装置,能产生温度和非高斯随机振动应力,其中振动应力是由多个气锤作六自由度运动产生的。一般用来进行高温步进、低温步进、快速温度变化、振动、快速温变和振动复合试验。目前国家标准和校准规程中均无关于该试验装置的技术参数的校准方法。本文结合试验装置的技术特点,提出了几个关于温度和振动技术参数的测量方法,如:温度偏差、温度波动度、温度均匀度、温度过冲量、温度变化速率、均方根加速度、横向振动比、功率谱密度等。     

中国公众环境意识的时空差异及影响因素分析

建设生态文明是中华民族永续发展的千年大计,引导和培育公众牢固树立环境保护意识是构建生态环境治理全民行动体系的根本保障。本文以2003年和2013年中国综合社会调查（CGSS）数据为基础,评估了全国28个省（市、自治区）（不含新疆、西藏、海南及港澳台地区）的公众环境意识,综合运用空间自相关分析、标准差椭圆分析和空间计量模型等方法,揭示了中国公众环境意识的时空差异特征,甄别了主要影响因素及其作用。结果表明：（1）2003—2013年中国公众环境意识水平基本维持不变,环境付费能力大幅下降,但公众对环境意识的关注程度有所提高;（2）中国公众环境意识的总体空间演化形态表现为整体分布规模略微缩小,省域公众环境意识空间差异显著,中西部地区环境意识有所增强,东部地区公众环境意识处于较高水平;（3）公众环境意识水平存在显著的空间正相关性,空间集聚程度不断加剧;空间局部特征以高—高型和低—低型最为显著,各省份空间相似度较高;（4）人口密度、工业污染治理投资、教育经费投入、地区环境污染程度及地区城市设施水平等因素均对公众环境意识产生显著影响。