Trace Element Contaminants in Sediments From the Noaa National Status and Trends Programme Compared to Data From Throughout the World

The National Oceanic and Atmospheric Administration's (NOAA) National Status and Trends (NS&T) Programme has analyzed samples of surface sediment collected at almost 300 coastal and estuarine sites throughout the United States since 1984. the overall distributions for concentrations of each element are approximately lognormal allowing a definition of geometric means and of “high” concentrations as those exceeding the mean plus one standard deviation of the lognormal distribution. Those mean and “high” concentrations should be useful for comparing the NS&T data set and with other reports on sediment contamination. A world-wide data set, constructed from data in the literature, was summarized in an identical manner. It was found, after excluding locally extreme values, that the NS&T and world-wide data sets yielded very similar mean and “high” concentrations for Cu, Ni, Pb and Zn. Chromium was the sole element showing higher summary statistics in the NS&T data set, a result attributed to NS&T sampling in areas of naturally (not contaminated) elevated Cr content. It remains undetermined, however, why the world-wide data set, even with exclusion of “hot spots”, yielded higher means and “highs” for Cd, Hg, As, and Ag.     

获取日均值的大气监测时段选择

利用数理统计方法，以污染物瞬时监测数据为基础数据，选用控制在一定置信度下最大允许误差的统计公式确定出样本容量，并采用模糊集合运算—优化组合选择法，确定出获取日均值的最佳监测时段．     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.     

凸轮机构基本尺寸对运行稳定性的影响

安全稳定性是凸轮机构运行的首要要求,从凸轮机构设计入手,在理论上分析了压力角和基圆半径对机构运行稳定性的影响。稳定性的影响因素很多,本文指出压力角和基圆半径的确定,要把理论计算和实际经验结合,确定恰当的参数,提高机构运行的稳定性,可靠性。     

用同位素标记LZF—1 DNA指纹探针进行人的DNA指纹分析

同位素γ－32P－ATP对LZF－1DNA指纹探针作5＇末端标记后，检测成都地区人群中84名随机个体的DNA指纹，获得了清晰易辨的具有高度个体特异性的DNA指纹图谱．谱带平均数为17．667条，平均等位基因频率为0．167，探针的鉴别机率为4．862×10－10．表明LZF－1DNA指纹探针完全达到了法医学检验中鉴别个体的目的．     

沈阳市区大气颗粒物元素组分及其分布

本研究采用美国安德逊五段冲击式采样器进行大气颗粒物采样，用中子活化法进行分析，获得４３种元素质量浓度，并求得各种元素的质量中值直径和几何标准差。     

PM10冲击采样器切割头设计参数对切割粒径的影响

本文从颗粒在气流中的受力情况分析入手 ,得到冲击采样器中喷嘴喷出后颗粒的运动轨迹方程以及运动轨迹与采样器切割头设计参数的关系式。分析了PM10空气采样器的切割原理 ,并利用数值计算研究颗粒在不同的流量、喷嘴尺寸及喷嘴与冲击板的距离下的运动轨迹 ,从而得到切割头设计参数对切割粒径的影响     

液化和压缩气体半球形扩散模型集的构建和应用

国内外液化和压缩气体的泄漏爆炸事故屡见不鲜,针对其性质和短时间近地面扩散的特点,总结、修正和扩展了瞬时泄漏下的平均半球形扩散模型。对于连续泄漏,利用数学积分理论建立了静风下的半球形扩散模型。接着对有风时的情况进行建模推导,将风速和气体自身扩散速度进行矢量合成,得到了半椭球形扩散和半椭圆锥与1/4椭球体组合扩散下气体的质量浓度和质量浓度变化趋势。最后用实例验证了该模型的先进性。该模型集能较好地反映液化和压缩气体泄漏后不同泄漏情况、时间、近地面区域和风速下的扩散浓度空间分布及其动态变化过程,为事故后果预估和应急救援决策提供参考。     

Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-off pollutant concentrations from non-point sources (NPSs). Pollutant loads could also be calculated using rainfall, catchment area and runoff coefficient. In this study, runoff quantity and quality data gathered from a 28-month monitoring conducted on the road and parking lot sites in Korea were evaluated using multiple linear regression (MLR) to develop equations for estimating pollutant loads and EMCs as a function of rainfall variables. The results revealed that total event rainfall and average rainfall intensity are possible predictors of pollutant loads. Overall, the models are indicators of the high uncertainties of NPSs; perhaps estimation of EMCs and loads could be accurately obtained by means of water quality sampling or a long term monitoring is needed to gather more data that can be used for the development of estimation models.     

Experimental investigation on effect of an absorber plate covered by a layer of sand on the efficiency of passive solar air collector

A passive flat-plate solar air collector was constructed in the laboratory of New and Renewable Energy in Arid Zones, Ouargla University, South East Algeria. The absorber of the passive flat-plate solar air collector was laminated with a thin layer of local sand. This acted as a thermal packed bed with a collecting area of 0.5 m² (1 m × 0.5 m). Three series of experiments were performed. The first consisted of choosing the best sand brought from three different places of the Algerian desert. The second consisted of studying the effect of the thickness of the sand layer on the daily efficacy of the collector. The influence of the sand diameter was investigated in the third series. The experimental results showed that: All collectors covered with sand had higher efficiency than those without. It was noticed that, for a fixed mass of sand (given thickness of the sand layer), the improvement of the collector was inversely proportional to the sand particle diameters. The maximum efficiency approximates 62.1% for a particle diameter 0.063 mm, compared to 41.71% for a diameter 0.250 mm.The efficiency of the collector for a fixed particle diameter increases with the increase in the thickness of the sand layer. The collector with thickness sand layer 0.84 mm gave the best efficiency of 46.14% compared to 27.8% for 0.28 mm of thickness sand layer.