Emissions of fluorides from welding processes

The levels of fluoride airborne particulates emitted from welding processes were investigated. They were sampled with the patented IOM Sampler, developed by J. H Vincent and D. Mark at the Institute of Occupational Medicine(IOM), personal inhalable sampler for simultaneous collection of the inhalable and respirable size fractions. Ion chromatography with conductometric detection was used for quantitative analysis. The efficiency of fluoride extraction from the cellulose filter of the IOM sampler was examined using the standard sample of urban air particle matter SRM-1648 a. The best results for extraction were obtained when water and the anionic surfactant N-Cetyl-N-N-Ntrimethylammonium bromide(CTAB) were used in an ultrasonic bath. The limits of detection and quantification for the whole procedure were 8 μg/L and 24 μg/L, respectively The linear range of calibration was 0.01–10 mg/L, which corresponds to 0.0001–0.1 mg of fluorides per m3 in collection of a 20 L air sample. The concentration of fluorides in the respirable fraction of collected air samples was in the range of 0.20–1.82 mg/m3, while the inhalable fraction contained 0.23–1.96 mg/m3 of fluorides during an eight-hour working day in the welding room.     

Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model

An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.     

Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model

An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.     

基于信息熵与KPSO聚类法滑坡敏感性分析

选取南京地区滑坡为研究对象。基于DEM及遥感影像数据,选取样本,提取滑坡影响因素,计算影响因素熵值。利用K折粒子群优化(K PSO)方法,在GIS环境下针对地质资料缺乏情况,生成一个可靠的南京地区滑坡敏感图。自组织特征映射网络(SOM)法用作一个并行研究,结果作为K PSO法结果对比。结果表明,K PSO法聚类准确率为85%,自组织映射(S OM)法聚类结果准确率为80%,由此说明K PSO聚类法在地质资料不足前提下形成滑坡敏感区是一种行之有效的方法。     

自激振荡磨料射流的基本理论与初步试验

自激振荡磨料射流是在自激振荡脉冲射流和前混合磨料射流基础上,提出的新型射流。为此,重点讨论了自激振荡磨料射流喷嘴的结构和工作原理,分析了脉冲频率和幅值等参数对磨粒加速效果的影响。根据初步研究表明,磨粒速度受脉冲频率和幅度影响很大,磨粒速度可超过前混合磨料射流中磨粒的速度,最大钻孔速度比前混合磨料射流提高４１％ 。这一成果有望用于坚硬物料的切割和特种加工、石油钻井、大洋采矿、难采矿体的开采、坚硬岩石巷道（遂道）掘进、表面清洗等领域。     

Effects of Tracking by Armored Vehicles on Townsend's Ground Squirrels in the Orchard Training Area, Idaho, USA

Spermophilus townsendii ) prey. These changes could occur directly or as a result of changes in the vegetation available as food and cover for the ground squirrels. We assessed the effects of long-term tracking by armored vehicles by comparing 9-ha areas in sagebrush (Artemisia tridentata) -dominated shrubsteppe and bluegrass (Poa secunda) -dominated grasslands subjected to low-intensity tracking for ∼50 years with others that had not been tracked. We did not detect any effect on ground squirrel population dynamics associated with long-term tracking. Although densities of adults and juveniles tended to be higher in the areas exposed to such tracking, we attribute this difference to other factors that varied spatially. To determine short-term (two-year) effects, we experimentally tracked two sagebrush and two grassland sites with an M-1 tank after animals had begun their inactive season. In the following two active seasons we monitored squirrel demography and behavior and vegetative characteristics on the experimentally tracked sites and compared the results with control sites. Although we experimentally tracked ∼33% of the surface of each of four sites where ground squirrel densities were assessed, the tracking had a detectable effect only on some herbaceous perennials and did not influence ground squirrel densities or behavior significantly during the subsequent two active seasons. We conclude that tracking after the start of the inactive season is likely to influence ground squirrel demography or behavior only if vegetation cover is substantially changed by decreasing coverage of preferred food plants or increasing the coverage of annual grasses and forbs that are succulent for only a short time each year.     

循环磨料射流综合理论分析

循环磨料射流是磨料射流的一种重要形式。循环磨料浆液被高压水加速后直接输入喷嘴，构成具有强大打击力的磨料射流；特别适用于锻件、轧制件的除鳞除锈，铸件清砂等表面处理。要保证循环磨料射流在工业中应用，必须首先解决两个关键问题，即循环磨料射流浆体在管路中的正常流动、磨料的悬浮与沉降规律以及过碎的微小磨粒的剔除，以满足高效、连续的作业。本文论述了循环磨料射流的工作原理和主要工作参数的确定方法。     

道路峡谷内颗粒物粒径分布测试

根据在北京市道路路面附近颗粒物 (TSP)的实测数据 ,分析了道路峡谷内 TSP的粒径分布 ,以及粒径分布与峡谷结构、距地面距离的关系 ,说明了影响粒径分布的主要因素。     

大气颗粒物对人体健康影响的研究情况

本文对大气粒状污染物的成分、流行病学研究及防治对策进展进行了介绍。     

Contamination of antibiotic resistance genes (ARGs) in a typical marine aquaculture farm: source tracking of ARGs in reared aquatic organisms

Abstract

Although the prevalence and concentrations of antibiotic resistance genes (ARGs) in aquaculture is receiving increasing scientific interest, there is little understanding of the direct sources and dissemination pathways of ARGs in marine aquaculture-reared organisms. This study investigated the dynamics of ARGs and the bacterial community throughout the rearing period in a typical marine aquaculture farm in South China. The results demonstrated that sul1 and qnrD were predominant in the sediment, and qnrD and qnrA were predominant in the intestinal tracts of shrimps. Network analysis showed that the chemical oxygen demand, total organic carbon, dissolved organic carbon, suspended solids, and total phosphorus were positively correlated with the predominant ARGs. The results of the network and source tracking analyses indicate that environmental factors and the bacterial community may drive the dissemination of ARGs dissemination in the environment and in shrimp reared by marine aquaculture, and sediment is the most direct and important medium in this dissemination. These results aid in improving our understanding of the sources, level, and dissemination of ARGs in marine aquaculture.