长江水系武汉段沉积物再悬浮过程中PAHs的释放动力学

采用沉积物再悬浮模拟装置进行了再悬浮过程中多环芳烃（PAHs）的释放动力学实验,研究了长江水系武汉段7种沉积物中PAHs的释放动力学特征,并考察了沉积物组成对PAHs释放动力学的影响.结果表明,不同剪应力作用下的沉积物再悬浮过程中,不同性质沉积物中PAHs向上覆水体的释放均符合一级动力学方程,且释放过程分为两个阶段,第...     

炼化企业变更管理研究

阐述了炼化企业变更管理系统的6个环节：识别潜在的变更、评估可能的影响、变更审批、变更实施、变更验收和变更追踪,并提出了确保变更质量的保障措施。     

全自动阵列离子迁移谱仪连续监测挥发性有机化合物

为了拓宽离子迁移谱仪的检测范围、提高化合物的识别准确度,研制了一套阵列离子迁移谱仪,该仪器基于63 Ni源正离子模式、63Ni源负离子模式和真空紫外灯光电离模式的组合电离源,可以连续监测空气中挥发性有机化合物.仪器采用全自动的采样进样系统,同时检测了二甲基亚砜的正离子和二氯甲烷的负离子,实现了正负离子的同时检测.通过对阵列离子迁移谱图的综合解析,识别了63Ni源正离子模式下难以鉴别的丙烯腈、间二甲苯和丙酮.连续4 d定量测定丙酮样品,结果表明仪器对丙酮的线性检测范围为2个数量级,线性相关系数R优于0.995,相对标准偏差控制在4.0%～18.3%.采用动态跟踪法,连续24 h在线监测了模拟泄漏的丙烯酸甲酯,监测结果直接反映了其泄漏的时间和浓度.     

Experimental study on the mechanism effect of seepage on microstructure of tailings

The deformation of microstructure of tailings caused by seepage is the main factor that leads the tailings dam to be damaged and lose stability. The effect of seepage on microstructure of tailings has been studied by a self-made observation testing apparatus of micro-mechanics and deformation of tailings, and its mechanism also has been explained in mechanics of particulate matter. The results show that the deformation response to microstructure of tailings is fast under load. The settlement of sample increases stepwise. Firstly, the fine particles crumble, then skeleton particles move, so as to noticeable settlement. Because the loose particles migrate taken by seepage water, the upper pores become bigger and lower pores become smaller. The relation of seepage water and settlement changing with time could be divided into two stages. In each stage, the rates of seepage and settlement reduce with time, and between the two stages, the rate of settlement increases significantly and the rate of seepage reduces with time. The seepage has significant effect on the particle size distribution of tailings in different depths, which has a little effect on the coarse tailings; the proportion of fine tailings increases significantly with the depth increasing; the minimum particle size decreases gradually and median diameter reduces stepwise with the depth increasing.     

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

Rockburst possibility prediction is an important activity in many underground openings design and construction as well as mining production. Due to the complex features of rockburst hazard assessment systems, such as multivariables, strong coupling and strong interference, this study employs support vector machines (SVMs) for the determination of classification of long-term rockburst for underground openings. SVMs is firmly based on the theory of statistical learning algorithms, uses classification technique by introducing radial basis function (RBF) kernel function. The inputs of models are buried depth H, rocks’ maximum tangential stress σ_θ, rocks’ uniaxial compressive strength σ_c, rocks’ uniaxial tensile strength σ_t, stress coefficient σ_θ/σ_c, rock brittleness coefficient σ_c/σ_t and elastic energy index W_et. In order to improve predictive accuracy and generalization ability, the heuristic algorithms of genetic algorithm (GA) and particle swarm optimization algorithm (PSO) are adopted to automatically determine the optimal hyper-parameters for SVMs. The performance of hybrid models (GA + SVMs = GA-SVMs) and (PSO + SVMs = PSO-SVMs) have been compared with the grid search method of support vector machines (GSM-SVMs) model and the experimental values. It also gives variance of predicted data. A rockburst dataset, which consists of 132 samples, was employed to evaluate the current method for predicting rockburst grade, and the good results of overall success rate were obtained. The results indicated that the heuristic algorithms of GA and PSO can speed up SVMs parameter optimization search, the proposed method is robust model and might hold a high potential to become a useful tool in rockburst prediction research.     

基于C/S结构的多用户GPS移动定位与远程追踪系统的研究与设计

随着无线网络的发展,地理信息突破了无法随身携带的限制,可以通过手持设备获取对象的地理信息。讨论了多用户GPS移动定位追踪系统的研究与设计。该系统的设计基于C/S结构,采用移动端智能系统、Socket通信、多线程等方法,把数据传输到中心数据库服务器;用户可以从屏幕上实时观察、精确定位多个对象(包括个人,车辆等)的地理位置,计算行进速度,并且可以看出运动轨迹等。这套系统可以应用于应急疏散、油气井、化工厂、军工等各个安全生产领域。     

Transferral of HMs pollution from road-deposited sediments to stormwater runoff during transport processes

Ratio of turbidity and TSS (Tur/TSS) was used to characterize PSD of stormwater particles. Pb and Zn preferred to accumulate in finer RDS, while Cu, Cr and Ni in coarser RDS. HMs pollution in stormwater particles increased linearly with Tur/TSS. Dissolvability of HMs and PSD variations contribute to the differences between RDS and stormwater. Stormwater runoff, derived from the wash-off of road-deposited sediments (RDS), contains elevated heavy metal (HM) concentrations and, thus, imposes an increasing threat to urban aquatic ecosystems. In-depth understanding of the variations of HMs pollution from RDS to stormwater during transport processes facilitates the development of effective RDS and stormwater control strategies. Toward this end, the distribution of HMs (Cu, Pb, Zn, Cr, and Ni) in RDS and stormwater were investigated simultaneously. The results show a preferential accumulation of Pb and Zn in the finer (<38.5 μm) RDS, and Cu, Cr and Ni in the coarser (38.5–150 μm) RDS. For stormwater, n.d.~48.6% of HMs fractionated into the dissolved phase, and stormwater particles constitute the primary carriers of HMs. Furthermore, the accumulation of HMs in stormwater particles increased linearly with finer particle size distributions (PSD). Geoaccumulation index (I_geo) highlighted the predominant pollution of both RDS and stormwater particles by Cu, Pb and Zn. Nonetheless, Cu, Pb, and Ni mostly contributed the potential ecological risk of RDS, whereas Cu, Pb, and Zn mainly contributed that of stormwater particles. Moreover, contamination by Cu, Pb and Zn was significantly higher in stormwater particles than that in RDS. These differences are attributable to the solubility and size-dependent accumulation of HMs in RDS, as well as the PSD variations during transport processes. The study outcomes highlight the importance of very fine (nano- and submicron- scale) RDS in stormwater pollution and the necessity of control.     

Acid aerosols in the Pittsburgh Metropolitan area

This article presents data on ambient concentrations of selected acidic aerosols at four existing monitoring sites in the Pittsburgh PA metropolitan area. The data were collected by staff of the Allegheny County Health Department, Division of Air Quality during the summer and fall of 1993. The sampling protocol was focused on obtaining 24 h-average ammonia, ammonium, acidic sulfates, and particle strong acids data on a 2 to 3 day cycle. The data were obtained using Harvard University School of Public Health's “Short-HEADS” annular denuder sampling train. The Pittsburgh area is of interest because it is downwind of a major regional source of sulfur and nitrogen emissions from coal-burning power plants: the Ohio River Valley. The data presented here indicate that ground-level concentrations of acidic aerosols in Pittsburgh are highly correlated spatially and that many pollutants are higher on days when ground-level wind direction vectors indicate that wind is coming from the southwest rather than from the Pittsburgh source area itself. The monitoring site that is most upwind of the Pittsburgh source area – South Fayette – has particle strong acid levels about twice those of sites closer in to the Pittsburgh central business district.     

多层自由旋线分离器的提效增阻作用

文章采用多层旋线布置方式实现了自由旋线分离器分离效率的有效提升,并讨论了多层布置对除尘效率与压力损失的影响规律.在风量2 000 m3/h、液气比0.03 L/m3和粉尘质量浓度1 000 mg/m3的试验条件下,单层旋线和双层旋线的除尘效率均随旋线根数和转速的增加而增加,且双层旋线的除尘效率的增幅高于单层旋线.当旋线...