大落差原油管道投产油顶水过程研究

为了探究隔离球在大落差原油管段投产过程中的影响作用,以某大落差“U”型起伏原油管线为实际案例（其最大高差达1 490 m）,基于OLGA多相流瞬态模拟方法,对大落差原油管段油顶水过程进行仿真研究。分析隔离球对原油顶水过程中的混油影响,同时对不同输量、管内积液量条件下隔离球在大落差管段中的运动特性进行研究,得到了清管器的平均运行速度、管中压力、持液率的变化趋势以及清管过程中的段塞行为等。结果表明:当输量为900~2 500 m3/h时,隔离球的加入能够降低混油量84.2%~93.7%;同时,还能减少投产过程中由于油品轻质组分汽化所产生的气体,并将更多管内气体带走,减少管中段塞流,提高原油投产效率,为工程实际投产过程提供有效依据。     

气固两相流90°弯管抗冲蚀结构优化

为了提高天然气输送管道90°弯管的耐磨性能,提出了1种三段弯曲式弯管,通过对弯管弯曲段进行三段式改进来减小弯管中二次流的大小,优化弯管内的流场,改善弯管的冲蚀磨损状况。利用COMSOL仿真软件建立三段式弯管模型,并以弯管弯曲段和出口段二次流平均值之和最小为优化目标,在约束条件下凭借COMSOL中的COBYLA优化算法得到了最优管形;用Fluent对优化后的三段式弯管进行冲蚀数值模拟并与一段式弯管的模拟结果进行对比分析。研究结果表明:与一段式90°弯管相比,优化后的三段式弯管流场更加平稳,其弯曲段的二次流强度大幅降低,弯管壁面的冲蚀磨损程度得到较大的改善。     

空间阻塞对室内燃气泄漏爆炸影响研究

以餐饮企业的熟食操作间为例建立物理模型,通过CFD方法模拟不同空间阻塞度下天然气泄漏爆炸情形。研究结果表明:阻塞率在99.95%~100%时,燃气浓度呈现反抛物线式上升。空间阻塞率在99.982%时（开敞面积1 m2）,泄漏1 200 s,熟食操作间燃气浓度值可达6%;空间阻塞率在99.955%（开敞面积2.5 m2）~100%时,燃气爆炸后熟食操作间内产生的超压最大值均大于30 kPa;当空间阻塞率在99.991%（开敞面积0.5 m2）~100%时,设定工况下爆炸超压随空间阻塞率呈指数式增加。研究认为,空间阻塞率在99.95%以上,燃气泄漏极易形成可燃蒸汽云,发生爆炸产生冲击波超压能够毁坏建筑物,在生产和生活中,对于有燃气使用的空间,应尽可能降低空间阻塞率,以避免可能的燃气泄漏形成危险域和爆炸形成过高冲击波超压。     

陆上原油长输管道泄漏爆炸事故情景构建研究

以某陆上原油长输管道为例,设定了陆上原油长输管道泄漏爆炸事故情景背景信息及演化过程,从预防、准备、预警、响应、恢复等阶段,梳理分析了事故情景应对全过程的任务及职责主体;针对各项任务从计划预案、人员队伍、装备物资、培训演练、运行机制等方面开展了情景应对能力评估;并针对存在的差距和不足,从企业和政府2个层面提出了针对此类情景的应急能力提升对策建议。该研究可为相关政府及企业加强油气长输管道事故应急准备能力建设提供参考。     

Teams as boundaries: How intra‐team and inter‐team brokerage influence network changes in knowledge‐seeking networks

What role does an ego's brokerage location—within a team (intra‐team) or outside the team (inter‐team)—play in the evolution of an instrumental knowledge‐seeking network in terms of both proximal (i.e., within the team) and distal (i.e., outside the team) tie formation and tie decay? We address this question by drawing on literature about social networks, brokerage, and teams. We use temporally separated data from 302 students embedded in 97 teams to test our hypotheses about the impacts of intra‐team and inter‐team brokerage on proximal and distal network evolution, specifically on four network changes in knowledge‐seeking networks: proximal tie formation, proximal tie decay, distal tie formation, and distal tie decay. We find that these four changes depend on individual network brokerage location even after controlling for personality and task characteristics. Specifically, inter‐team brokers change their networks both within and outside their teams, whereas intra‐team brokers curtail their network changes. We argue that these opposite effects occur because inter‐team brokers have greater autonomy than intra‐team brokers. This study adds to the ongoing dialog about network evolution in social network literature and to the conversations about brokerage and its location in the context of team‐based work.     

气相色谱法测定二硫化碳

本文使用极性色谱固定相，建立了顶空／ＧＣ／ＥＣＤ测定水中ＣＳ２的方法。该方法是最低检出限为５．５μｇ／ｌ，回收率１０３％，相对误差小于２％，相对标准偏差小于７％。具有很高的灵敏度、准确度和精密度，而且操作简便快速。     

基于BP神经网络算法的密云水库水质参数反演研究

密云水库是北京市重要的地表饮用水源地,在保障首都水源安全方面起着重要作用,而密云水库水质参数的区域监测已成为当前亟待解决的问题。为了实现密云水库水质参数大范围、实时获取,该文基于遥感和GIS技术,采用BP神经网络算法,结合地面监测数据和Landsat 8遥感影像,分别建立了反演总磷、总氮、氨氮和COD(化学需氧量)4个水质参数的BP神经网络模型,并反演了密云水库2013-2018年非结冰期主要水质参数,分析了密云水库主要水质参数的年际变化特征、季节变化特征和空间分异特征。结果表明,(1)水质参数的Landsat 8敏感波段分别为:总氮为1、4波段,氨氮为1-7波段,总磷为1、3-7波段,COD为2-5波段。(2)密云水库主要水质参数在2013-2018年总体呈下降趋势,氨氮和COD为Ⅰ类水质,总磷为Ⅱ类水质,总氮为Ⅲ类水质。(3)4个水质参数指标春季最高、秋季次之、夏季最低,总氮、总磷、氨氮和COD的春季值分别是夏季值的1.08、1.36、1.6、1.45倍。(4)密云水库不同水质参数的空间差异性较大,总体来看,水库北部和东部的4个水质参数含量相对较高,这种分布与北部和东部村庄密集以及密云水库两大入库河流有关。综上所述,基于BP神经网络算法的密云水库水质反演研究是可行的,且得到了较为可信的研究结果,该研究可为密云水库水质管理与政策制定提供重要的科学依据。     

液相催化氧化吸收烟气中SO_2的研究

本文报告了水溶液催化氧化吸收烟气中的SO_2对各种因素,包括催化剂浓度和种类、反应温度、SO_2浓度和烟气流量,以及烟气中氧气含量和反应后溶液中SO_3~(2-)和SO_4(2-)浓度与催化剂浓度的定量关系进行了研究。当催化剂浓度为0.05mol/l,SO_2浓度1000—2000ppm,温度25℃时,SO_2吸收率85％以上。并初步讨论了液相催化氧化吸收SO_2反应机理。     

南海莺琼盆地沉积环境中厌氧纤维素分解菌的分布与作用

在严格厌氧条件下，研究了驾琼盆地东方１－１－１井垂直剖面不同沉积层地质样品中的厌氧纤维素分解菌．结果表明：厌氧纤维素分解菌在各样品中都存在，但其分布有很大随机性，与样品埋藏深度无相关性，与样品中一些有机物含量，如纤维素、半纤维素也无相关性，厌氧纤维素分解菌数量高的样品，其在生物模拟产甲烷实验中的单位有机质产气量也较高，有显著的相关性．菌体形态主要为杆菌和球菌．     

Artificial neural network modeling of caste odor discrimination based on cuticular hydrocarbons in termites

Summary. Individuals in an insect colony need to identify one another according to caste. Nothing is known about the sensory process allowing nestmates to discriminate minute variations in the cuticular hydrocarbon mixture. The purpose of this study was to attempt to model caste odors discrimination in four species of Reticulitermes termites for the first time by a non-linear mathematical approach using an "artificial neural network" (ANN). Several rounds of testing were carried out using 1 – the whole hydrocarbon mixtures 2 – mixtures containing the hydrocarbons selected by principal component analysis (PCA) as the most implicated in caste discrimination. Discrimination between worker and soldier castes was tested in all four species. For two species we tested discrimination of four castes (workers, soldiers, nymphs, neotenics). To test cuticular pattern similarity in two sibling species (R. santonensis and R. flavipes), we performed two experiments using one species for training and the other for query. Using whole hydrocarbons mixtures, worker/soldier discrimination was always successful in all species. Network performance decreased with the number of hydrocarbons used as inputs. Four-caste discrimination was less successful. In the experiment with the sibling species, the ANN was able to distinguish soldiers but not workers. The results of this study suggest that non-linear mathematical analysis is a good tool for classification of castes based on cuticular hydrocarbon mixture. In addition this study confirms that hydrocarbon mixtures observed are real chemical entities and constitute a true chemical signature or odor. Whole mixtures are not always necessary for discrimination. Received 23 July 1998; accepted 9 October 1998.