基于SIL评估的LNG加气站安全仪表系统问题分析及改进建议*

为分析LNG加气站安全仪表系统的功能完备性与可靠性,以3座典型的三级LNG加气站为研究对象,全面开展安全仪表功能辨识、安全完整性等级（SIL）定级与验证,进而提出针对性的改进建议。结果表明:3座LNG加气站的安全仪表系统均存在功能不完备、设备组件缺少失效数据的问题;为满足风险控制要求,三级LNG加气站需设置15个安全仪表功能,其中1个应达到SIL2等级,14个应达到SIL1等级;LNG加气站的安全仪表系统应选用获得功能安全认证的设备组件,并在设计阶段开展SIL评估工作。研究结果可为今后LNG加气站安全仪表系统的设计与管理提供重要参考。     

北京地铁岛式站台噪声的初步研究

为研究北京岛式站台噪声水平及噪声特点,选取了北京地铁2号线和5号线的10个岛式站台进行了实地的测量,从噪声级以及频谱角度对测量结果进行了分析。结果显示,测量时间内的LAeq,max都高于标准限值80dB(A)。使用独立样本t检验的结果得出,2号线与5号线在LAeq以及LAeq,max上不存在显著差异(P>0.05),说明2号线和5号线噪声在相近的水平上。通过噪声频谱的时程曲线也直观的得出列车在进出站过程中噪声级大于80dB(A),无列车通过且不受相反轨道列车影响时的背景噪声在65dB(A)左右,受影响时在70dB(A)左右。倍频程频谱分析得出,地铁站台噪声具有明显的中频特征。进一步分析,2号线和5号线站台都存在若干的主频,其基频和谐频分别为63、250和1kHz。     

县政府的责任与生态建设的理论及实践

生态县建设是实施可持续性战略的重要内容，在目前基础设施落后，资金短缺，技术力量不足的情况下，建设颇具复杂性、艰巨性，先进性和综合性的生态工程，是每个县政府的历史责任，生态建设理论的核心是社会－经济－自然复合生态系统理论、系统生态学理论，持续发展和同步建设理论三个方面的基本构架、近年来我国在农业生态工程、工业生态工程、水陆生态工程、生态县建设方面，取得了一定的经验。     

燃煤灰渣中微量元素分布规律的研究

研究了锅炉飞灰和底灰中１５种微量元素的含量和分布，探讨了煤炭燃烧后，微量元素在灰渣中的集散及其影响因素，飞灰和底灰中大多数元素高于全国土壤背景值，７种元素高于克拉克值，其余８种低于克拉克值，飞灰中多数元素的地球化学富集因子高于１，呈富集状态，而底灰中多数元素富集因子小于１，飞灰和底灰中微量元素含量与煤中微量元素含量呈线性关系，微量元素含量不仅与煤有关，还受锅炉燃烧方式等人为因素影响。     

东北、内蒙古东部地区煤炭中微量元素含量及分布规律

研究了东北和内蒙东部各矿区煤炭中As,Ba,Be,Cb,Co,Cr,Cu,Hg,Li,Mn,Ni,Pb,Se,Sr,V,Zn,Zr的含量水平及分布规律.煤灰灰分中多数元素含量高于克拉克值、土壤背景值及植物干物质中含量,呈富集状态.相关矩阵和聚类分析表明,煤炭中微量元素含量与基质元素有密切的依存性.由于复杂的成煤过程,煤炭中微量元素呈现独特的集散规律.     

Time-course uptake and elimination of benzo(a)pyrene and its damage to reproduction and ensuing reproductive outputs of Pacific oyster, <Emphasis Type="Italic">Crassostrea gigas</Emphasis>

The time-course of uptake and elimination of benzo(a)pyrene (BaP) for the Pacific oyster, Crassostrea gigas and reproduction damage and reproductive outputs were studied. Sexually immature C. gigas broodstock were fed for 28 days with live algae grown in four BaP solutions of 0, 50, 500, and 5,000 μg L⁻¹ (hereafter, control, 50, 500, and 5,000 oysters) and were subsequently conditioned to maturation by a feeding with BaP-free live algae under temperature manipulation for another 28 days. The 5,000 μg L⁻¹ oysters gained a steady state concentration, around 30,000 ng g⁻¹ d.w. for digestive gland, a week earlier compared to the 500 μg L⁻¹ oysters. The earlier gain or longer persistence of the steady state concentration influenced elimination of BaP, with an eliminating trend for 500 μg L⁻¹ oysters, while no elimination for 5,000 μg L⁻¹ oysters. The maternal persistence of the steady state concentration resulted in significant damages in the reproductive success and their reproductive outputs in terms of the hatching rate and larval growth, survival, and settlement. The 50 μg L⁻¹ oysters remained far below the steady state concentration, and showed a manifest eliminating behavior during the subsequent BaP-free 28 day maturation period. The reproductive success and initial larval events of 50 μg L⁻¹ oysters were comparable to those of control. However, the damage potential of the 50 μg L⁻¹ oysters might be more significant if their maternal exposure continued beyond 28 days, since the accumulation profile at this dose was linear.     

ECONOMIC AND WATER QUALITY EFFECTS OF VARIABLE AND UNIFORM APPLICATION OF NITROGEN1

ABSTRACT: Nitrogen (N) fertilizer rates for achieving optimum crop yields often vary within a field due to spatial variability in soil moisture and nitrogen content and other crop growth factors. When there is substantial within-field variability in these factors, uniform application of N (UAN) may not be economically efficient in terms of maximizing net return because N is likely to be over-applied in some areas and under-applied in other areas of the field. In addition, over-application can adversely affect water quality. A sample of fields in a Midwestern agricultural watershed is used to test for statistically significant differences in N application rates, crop yields, surface and ground water quality and net returns between UAN and variable application of N (VAN) for four cropping systems. Profitability and water quality benefits of VAN are sensitive to the distribution of soil types within a field. Water quality effects and profitability of UAN and VAN vary with cropping systems. VAN is not uniformly superior to UAN in terms of increasing net returns and improving water quality for the farming systems and watershed evaluated in this study.     

Cadmium accumulation and elimination in tissues of juvenile olive flounder, Paralichthys olivaceus after sub-chronic cadmium exposure

Experiments were carried out to investigate the accumulation and elimination of cadmium (Cd) in tissues (gill, intestine, kidney, liver and muscle) of juvenile olive flounder, Paralichthys olivaceus, exposed to sub-chronic concentrations (0, 10, 50, 100 microg l(-1)) of Cd. Cd exposure resulted in an increased Cd accumulation in tissues of flounder with exposure periods and concentration, and Cd accumulation in gill and liver increased linearly with the exposure time. At 20 days of Cd exposure, the order of Cd accumulation in organs was gill > intestine > liver > kidney > muscle and after 30 days of exposure, those were intestine > gill > liver > kidney > muscle. An inverse relationship was observed between the accumulation factor (AF) and the exposure level, but AF showed an increase with exposure time. During the depuration periods, Cd concentration in the gill, intestine and liver decreased immediately following the end of the exposure periods. No significant difference was found Cd in concentration in the kidney and muscle during depuration periods. The order of Cd elimination rate in organs were decreased intestine > liver > gill during depuration periods.     

Effects of bacterial counts and temperature on the biodegradation of bisphenol A in river water

Total 15 surface river waters were collected from thirteen different rivers to investigate a relationship of bacterial counts and temperature to the degradation of bisphenol A (BPA). Autoclaved and non-autoclaved river water samples were spiked with 0.2 mg/l BPA. The spiked samples were placed at temperatures of 4, 20, and 30 degrees C and analyzed by high performance liquid chromatography. BPA was degraded at all temperatures in the non-autoclaved samples. However, BPA in the autoclaved samples was not changed at all temperatures for 20 d. These results show that the primary factor of BPA degradation in river water is bacteria. Moreover, three groups [group A (> 10000 CFU/ml), group B (2000-10000 CFU/ml), and group C (< 2000 CFU/ml)], were made on the basis of bacterial counts of the samples. Half-lives for BPA degradation in groups A, B, and C were 2, 3, and 6 d at 30 degrees C and were 4, 5, and 7 d at 20 degrees C, respectively. But at 4 degrees C, the loss of BPA was about 40%, 20%, and 10% in groups A, B, and C for 20 d, respectively. Bacterial counts exerted an influence on BPA degradation in river water with temperature. Our results also show that BPA-degrading bacteria are widely distributed in river waters.     

Pattern recognition of the movement tracks of medaka (Oryzias latipes) in response to sub-lethal treatments of an insecticide by using artificial neural networks

Specimens of medaka (Oryzias latipes) were observed continuously through an automatic image recognition system before and after treatments of an anti-cholinesterase insecticide, diazinon (0.1 mg/l), for 4 days in semi-natural conditions (2 days before treatment and 2 days after treatment). The "smooth" pattern was typically shown as a normal movement behavior, while the "shaking" pattern was frequently observed after treatments of diazinon. These smooth and shaking patterns were selected for training with an artificial neural network. Parameters characterizing the movement tracks, such as speed, degree of backward movements, stop duration, turning rate, meander, and maximum distance movements in the y-axis of 1-min duration, were given as input (six nodes) to a multi-layer perceptron with the back propagation algorithm. Binary information for the smooth and shaking patterns was separately given as the matching output (one node), while eight nodes were assigned to a single hidden layer. As new input data were given to the trained network, it was possible to recognize the smooth and shaking patterns of the new input data. Average recognition rates of the smooth pattern decreased significantly while those for the shaking pattern increased to a higher degree after treatments of diazinon. The trained network was able to reveal the difference in the shaking pattern in different light phases before treatments of diazinon. This study demonstrated that artificial neural networks could be useful for detecting the presence of toxic chemicals in the environment by serving as in-situ behavioral monitoring tools.