塔里木河下游输水河道二侧地下水埋深动态变化

根据2000-2003年的实地监测资料,分析了塔里木河下游生态输水过程中河道二侧地下水埋深的动态变化及其对沿岸植被的影响,提出了进一步提高塔里木河下游生态输水效益和加强区域生态环境保护工作的对策建议。     

广州城市玻璃幕墙建筑不同季节光环境影响分析

通过对广州市玻璃幕墙建筑在不同季节、不同时段光环境影响的监测,分析影响玻璃幕墙建筑光污染的重要因素,评价了玻璃幕墙建筑在不同季节、不同时段造成光污染的危害,估算玻璃幕墙建筑的光环境污染程度及范围,提出了玻璃幕墙建筑光污染的防控建议,以期为城市玻璃建筑光污染控制与管理提供科学依据。     

Ground influence on high-pressure methane jets: Practical tools for risk assessment

High-pressure gaseous methane release is a relevant safety-related problem mainly in the Oil and Gas industry. As well documented, the reason for these safety concerns is connected with the severe consequences of the domino effect subsequent to the possible ignition. In risk assessment activities, estimation of the damage area is of primary importance in order to draw up proper safety guidelines. To do this, loss prevention specialists use quick and well-established numerical tools (i.e., integral models) in their daily activities. However, the presence of an obstacle in the flow field of the jet (e.g., the ground) is a more probable situation to deal with. It is known that integral models fail in this kind of scenario, leading to unreliable predictions. Hence, the present work investigates how an industrial ground surface influences the LFL cloud size of a horizontal high-pressure methane jet. An innovative quick procedure is proposed allowing to determine the height below which the ground begins to influence the LFL cloud size and the extent of such influence. Therefore, this procedure allows practitioners to establish when integral models can be used and when not to use them, and also provides a simple and reliable alternative to their use. These analytical instruments are derived from an extensive computational fluid dynamics analysis performed with Ansys Fluent 19.0.     

Young drivers' determinants of driving under the influence of cannabis: Findings from the Youth Cannabis and Driving Survey (YouCanDS)

Introduction: Driving under the influence of cannabis (DUIC) is proven to increase the risk of collisions and is most common among young drivers (ages 16 to 24). However, little is known about the specific determinants of DUIC behavior among youth, which limits the capacity to develop evidence-based prevention and intervention efforts. This study developed and evaluated a youth DUIC questionnaire, which was used to establish the DUIC determinants of young drivers. Method: The questionnaire was based on the theoretical framework of general deterrence and general prevention. Data obtained included: demographics, past cannabis use and DUIC experiences, DUIC intention, experiences riding as a passenger with someone DUIC, knowledge and credibility of the law, attitudes towards DUIC, and social controls. The resulting questionnaire was validated for a sample of 426 young drivers in the province of Ontario, Canada. An ordinal regression was conducted to examine the relationships between questionnaire items and DUIC intention. Results: The questionnaire displayed good construct validity and internal consistency across four out of five domains (KMO and Cronbach α values ≥ 0.70). Of the 426 respondents (52.6% female), 356 (83.6%) reported previous cannabis use, with 296 (69.5%) doing so in the past year, and 142 (33.3%) reporting DUIC. Furthermore, 179 (42%) study participants indicated at least a slight chance of DUIC in the next year. The regression analysis identified six variables predictive of DUIC intention: past DUIC incidence, perceived percent of those convicted that receive the penalty, moral awareness, perceived dangerousness, minor accident risk, and vicarious punishment avoidance. Conclusions: Preventive efforts should emphasize these determinants when designing targeted strategies and interventions. Practical Applications: These efforts should focus on educating the dangers and risk of a vehicle collision, that law enforcement has the capacity to apprehend and appropriately punish individuals DUIC, and that DUIC is wrong and socially unacceptable.     

A Noisy-OR gate based fuzzy fault tree approach for micro-leakage evaluation of bolt-gasket-flange connection (BGFC)

In the natural gas gathering and transportation station, bolt-gasket-flange connection (BGFC) is the main connection mode, but due to its large number, the micro-leakage may result in serious consequences. For this reason, early BGFC micro-leakage evaluation can effectively assist decision-making and prevent the occurrence of accidents. To solve the problem of insufficient field data collection, we proposed a Noisy-OR gate based fuzzy fault tree approach, and calculated the corresponding minimum cut sets and the highest risk factors. Moreover, sensitivity analysis (SA) was used to determine that material problems (wear and corrosion of the sealing surface), man-made operation problems (bolts and flanges) and working conditions (pipe vibration and temperature fluctuations) are the key factors that contributing to the BGFC micro-leakage. In brief, the combination of the fuzzy fault tree analysis and Noisy-OR gate is an effective approach for BGFC micro-leakage evaluation, which is of great significance to the micro-leakage analysis, safe operation, and risk assessment of the gas station.     

因果图和模糊综合风险评价在城市燃气输配系统的应用

针对复杂的城市燃气输配系统,利用因果图和模糊综合评价相结合的方法对其进行风险分析.因果图能找出影响城市燃气输配系统失效的因素,模糊综合评价则可在其基础上对风险量化.以某市的燃气输配系统为例描述了该方法的步骤.结果表明,因果图和模糊综合评价相结合的方法合理且易于工程应用.     

Towards automatic and robust adjustment of human behavioral parameters in a pedestrian stream model to measured data

People die or get injured at mass events when the crowd gets out of control. Urbanization and the increasing popularity of mass events, from soccer games to religious celebrations, enforce this trend. Thus, there is a strong need to better control crowd behavior. Here, simulation of pedestrian streams can be very helpful: Simulations allow a user to run through a number of scenarios in a critical situation and thereby to investigate adequate measures to improve security. In order to make realistic, reliable predictions, a model must be able to reproduce the data known from experiments quantitatively. Therefore, automatic and fast calibration methods are needed that can easily adapt model parameters to different scenarios. Also, the model must be robust. Small changes or measurement errors in the crucial input parameters must not lead to disproportionally large changes in the simulation outcome and thus potentially useless results. In this paper we present two methods to automatically calibrate pedestrian simulations to the socio-cultural parameters captured through measured fundamental diagrams. We then introduce a concept of robustness to compare the two methods. In particular, we propose a quantitative estimation of parameter quality and a method of parameter selection based on a criterion for robustness. We discuss the results of our test scenarios and, based on our experience, propose further steps.     

投加硅藻土对MBR处理校园生活污水影响的研究

实验研究了投加硅藻土对膜生物反应器处理校园生活废水效果的影响。两组膜生物反应器的对比实验结果表明:投加硅藻土有利于MBR工艺中活性污泥的培养和出水的稳定。投加硅藻土使MBR的出水COD质量浓度稳定在25 mg/L以下,BOD5质量浓度小于5 mg/L,NH3-N质量浓度0.4 mg/L左右,TP质量浓度小于0.5 mg/L,SS未检出,出水水质更加稳定。     

走廊弯腰疏散行为试验研究

为研究走廊里人群弯腰疏散行为,组织45名学生进行6组不同初始密度疏散试验,通过录像分析得出不同密度时弯腰疏散基本图,将结果与行走及爬行疏散比较。试验结果表明:弯腰和行走疏散的速度分别是1.4 m/s和1.7 m/s,而爬行疏散速度为0.73 m/s;在密度小于0.5人/m2时,3种疏散方式的流动速度相当;在密度大于0.5人/m2时,3种移动方式速度有明显差异;得出弯腰疏散的速度频率分布图,速度均值为:女生1.02±0.16 m/s,男生1.09±0.2 m/s;在低速度区,女生占很大比重,男生在高速度区的频率较高。     

Supervisor-Directed Emotional Labor as Upward Influence: An Emotions-as-Social-Information Perspective

To access organizational resources, subordinates often strive to influence supervisors' impressions. Moreover, subordinates' interactions with supervisors are known to be ripe with emotions. Nevertheless, research on upward impression management has rarely examined how subordinates' emotion regulation in supervisor interactions may shape their tangible outcomes. The present study introduces subordinates' emotional labor toward supervisors as a novel means of upward influence. Building on the emotions-as-social-information model, we propose that supervisor-directed emotional labor indirectly relates with supervisory reward recommendations by shaping supervisors' liking and perceived competence of subordinates. Moreover, we cast supervisors' epistemic motivation as a boundary condition for these indirect relations. We tested these notions using time-lagged data from 377 subordinates and 91 supervisors. When supervisors' epistemic motivation was higher (but not lower), (1) supervisor-directed surface acting related negatively with supervisors' liking and perceived competence of subordinates and (2) supervisor-directed deep acting related positively with supervisors' liking of subordinates. Liking and perceived competence, in turn, related positively with supervisors' willingness to recommend subordinates for organizational rewards. These findings highlight supervisor-directed emotional labor as an upward impression management strategy with both beneficial (deep acting) and detrimental (surface acting) implications, and they illustrate important mechanisms and a key contingency factor for these consequences.