增压站低频噪声识别与控制

目的解决天然气增压站低频噪声严重的问题,识别低频噪声源,并对低频噪声加以控制。方法结合压缩机组的实际工作情况及结构,首先利用频谱及1/3倍频程分析增压站机组的振动和噪声特性,初步确定压缩站机组低频噪声与机组振动的关系,进一步利用相干函数分析法分析振动与低频噪声的相干关系,判定低频噪声并不是由振动主要引起的。结果机组的主要噪声源为冷却器和压缩缸的进排气管,低频噪声污染主要是由于机组周期性吸排气时,管道和机组壁投射出的空气动力性噪声所造成的,而机组振源的剧烈振动不是产生低频噪声污染的主要原因。进排气管可产生高达80 d B(A)的全频带噪声,其中包含声压级可高达100 dB的次声,尤其以频率11 Hz和17 Hz为主,并且传播距离远,通透力强,对人员和环境危害大。结论首先依据进排气管为主要噪声源,其次结合压缩站实际情况,从压缩器机组整体的降噪设计及厂房治理的降噪设计两部分考虑提出相应的改进措施,从而为机组的降噪提供有效的方法。     

基于有限元分析的橡胶减振器优化设计

目的加快橡胶减振器的设计过程。方法分析橡胶材料及Mooney-Rivllin橡胶本构模型特点,介绍橡胶减振器应用特点及隔振设计的相关理论,采用Mooney-Rivllin模型模拟橡胶材料的力学特性,通过引进有限元优化技术,在设计初期保证减振器的刚度特性。结果在某设备减振设计中,采用单轴拉压曲线获取了橡胶材料的Mooney-Rivllin模型参数,以减振器的部分结构尺寸为设计参数,减振器的三向刚度为设计目标,获取了三轴向频率近似相等的隔振系统(轴向频率40 Hz、径向频率40.9 Hz)。通过试验测试,减振系统频率与试验值差别较小,其中轴向差别为2%,径向差别为1%。结论通过引进有限元优化技术,采用合理的橡胶本构模型,可以满足工程精度要求,加速了橡胶减振器的设计过程。     

雾霾环境天气下对户外体育运动人群影响研究

构建雾霾环境天气下户外体育运动生理健康指标参数,以最大摄氧量(VO2)、最大通气量(VEmax)、氧脉搏O2P、心率(HR)等参量为约束指标,构建户外体育运动人群身体健康指标的约束体系,采用心电图的负荷试验和代谢分析实验方法测试雾霾环境天气下对户外体育运动人群健康影响,根据受测运动员的气体代谢和心肺功能指标进行雾霾环境天气下运动人群的心肺机能特征分析。雾霾环境天气下,应当减少户外运动,在空气质量好的环境下进行一定的有氧运动,避免吸入污染空气,导致肺部疾病。     

大豆过敏原P34蛋白基因检测技术与环境污染的关系研究

环境污染易引起大豆种植区域出现过敏原P34蛋白基因变异情况,当前蛋白基因检测方法不能满足检测需求,提出基于探针引物的大豆过敏原P34蛋白基因荧光PCR定量检测技术,针对大豆过敏原特异性基因P34蛋白基因序列进行设计;通过DNA提取、浓度测定,荧光定量PCR检测,实现大豆过敏原P34蛋白基因检测。实验结果表明,所提方法能够准确检测出包括环境污染区域在内的大豆食品过敏原P34蛋白基因成分,具有很好的应用前景,满足市场监督检测的需要。     

Working backwards to move forwards: Graph-based connectivity metrics for reserve network selection

In this paper we apply graph theory in a reserve selection exercise to explore the tradeoffs between maintaining connectivity and minimizing the total area of a protected area network. Rather than focus on a single organism, we used a multi-species approach and looked at the tradeoff curves for organisms with varying dispersal abilities. We first generated the tradeoff curves using a graph-based metric to determine the importance of individual patches for maintaining connectivity. We then performed an analogous set of analyses using patch size as a surrogate measure of importance.     

Multivariate analysis of the bioaccumulation of polychlorinated biphenyls (PCBs) in the marine pelagic food web from the southern part of the Baltic Sea,Poland

The concentration, pattern, bioaccumulation and biomagnification features of many chlorobiphenyl congeners including non- and mono-ortho chlorine substituted members have been determined in a pelagic food chain including mixed phyto- and zooplankton, herring (Clupea harengus), harbour porpoise (Phocoena phocoena) and black cormorants (Phalacrocorax carbo sinensis) collected from the southern part of the Baltic Proper. TCDD (tetrachlorodibenzo-p-dioxin) toxic equivalents (TEQs) in plankton, herring, harbour porpoise and cormorants were 0.42, 5.3, 79 and 2,700 pg g(-1) lipid weight, respectively. Concentrations of total polychlorinated biphenyls (PCBs) in plankton, herring, harbour porpoise and cormorants were 1.9, 120, 8700 and 2,100 ng g(-1) wet weight (210, 1,300, 10,000 and 42,000 ng g(-1) lipid weight) respectively. Herring, harbour porpoise and black cormorant apparently bioaccumulate many PCBs found in their food, and the values of the bioaccumulation factors (BAFs) for PCBs were approximately 10 in herring, 35 in harbour porpoise and up to 300 in breast muscle of cormorants. Harbour porpoise clearly is able to metabolize the most toxic non-ortho PCBs (no. 77, 126 and 169) and a few mono-ortho PCBs (no. 114, 123 and 156), while all non- and mono-ortho PCBs are bioaccumulated by herring. Penta-, hexa- and hepta-CBs were the dominatant homologue classes both in the muscle tissue and liver. PCB congeners nos. 201, 209, 172/192, 194 and 195 were characterized by the largest BAFs (between 100 and 300). Principal component analysis has been used to analyse the interdependences and differences in the CB congener accumulation patterns between the components of the investigated pelagic food web.     

Development and validation of methods for environmental monitoring of cyclophosphamide in workplaces

Methods to monitor contamination of workplaces with antineoplastic drugs have been developed and validated. Cyclophosphamide (CP) was used as a model compound as it is one of the most commonly used antineoplastic drugs. A wipe sampling method to detect contamination with CP at surfaces was developed. A personal air sampling method to sample gas and vapour on solid sorbent tubes and particles with filters was also developed. Wipe and filter samples were extracted and sorbent samples were eluted, all with ethyl acetate. The samples were analysed with liquid chromatography tandem mass spectrometry. (2)H(6)-labelled cyclophosphamide was used as an internal standard. The between-day precision was 2-5% for wipe samples, 4-6% for sorbent samples and 3-8% for filter samples. The limit of detection was 0.02 ng CP per sample for the wipe and filter methods and 0.03 ng CP per sample for the solid sorbent method. Wipe sampling on surfaces made of different materials resulted in mean recoveries between 78-106%. The desorption recovery was between 97-102% for the wipe samples, 97% for the sorbent samples and 101% for the filter samples. Samples were stable for up to 2 months at 5 degrees C and -20 degrees C and for about 2 d at room temperature. The developed methods were applied to the measurement of contamination with CP in a hospital pharmacy. Trace amounts of CP, 1.3 and 1.4 ng, were detected on surfaces in the pharmacy.     

A modular approach to Integrated Assessment modeling

In this paper, we present a new approach to model coupling that probably forms the methodological basis of a new generation of Integrated Assessment models. This approach respects the knowledge and expertise that is embodied in existing models and encourages their gradual evolution. Modularity is the guiding principle. Our approach is distinguished by the way modules are coupled which is based on an interplay of a job control module, a numerical coupling module, and a couple of stand-alone functional modules. The numerical coupling module - the core component - serves to treat the feedbacks between the functional modules. A first implemented example that couples an economic and a climate module by means of a two-phase meta-optimization is presented here. The algorithm and mathematical structure behind are discussed as well as important features such as convergence behavior and reliability.     

水体中重要污染元素化学形态分析研究方法及其进展

概述了元素化学形态分析的意义、概念和范围，元素化学形态分析与模拟计算方法，并分别对某些重要元素的化学形态分析方法的进展作了综述，介绍了１１５篇文献。     

Optimizing the removal of small fish passage barriers

Removing small artificial barriers that hinder upstream migrations of fish is a major problem in riparian habitat restoration. Because of budgetary limitations, it is necessary to prioritize barrier removal and repair decisions. These have usually been based on scoring and ranking procedures, which, although simple to use, can be very inefficient in terms of increasing the amount of accessible instream habitat. We develop a novel decision-making approach, based on integer programming techniques, which optimizes repair and removal decisions. Results show based on real datasets of barrier culverts located in Washington State that scoring and ranking is over 25% below the optimum on average and a full 100% below in the worst case, producing no net habitat gain whatsoever. This is compared to a dynamic programming method that was able to find optimal solutions in less than a second, even for problems with up to several hundred variables, and a heuristic method, which found solutions with less than a 1% average optimality gap in even less time.