基于仿真的新建污水处理厂工艺参数调试

基于ASM2D模型建立了上海某新建污水厂倒置AAO流程的数学模型,并采用该厂进、出水设计数据对模型进行校正,其中,ASM2D各组分浓度分布参考文献值.同时,通过仿真计算研究了不同温度下进水流量、污泥回流比、混合液回流比及进水流量分配比对出水总化学需氧量（TCOD）、氨氮（SNH3）、总氮（TN）、总磷（TP）及总悬浮颗粒物（TSS）的影响.结果表明,研究获得的定性和定量两方面结果可供该厂在工艺参数调试中作参考.计算机仿真技术在新建污水厂工艺参数调试中的应用可以减少调试时间,降低调试费用,取得良好的经济效益与环境效益.     

Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model

Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers’ working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.     

Extrinsic modeling and simulation of helio-photovoltaic system: a case of single diode model

Simulation of helio-photovoltaic system is continuously undergoing revolution through diverse parameter modifications which closely mimic the experimental data. In retrospect, the current work has presented a nonlinear modification of equivalent circuit parameters and simulated the same for different semiconductors (crystalline and thin films); furthermore, established a mathematical relation between the coefficients of solar irradiance and module temperature (SIMT); moreover, investigated the influence of SIMT on the model parameters. The simulation upshot reveals that increment in solar irradiance (SI) intensifies the output current whereas an increase in module temperature (MT) diminishes the output voltage; the SIMT coefficients developed validated well with the manufacturers data; the influence of SI was evident on the photon current, diode current, and shunt resistance whereas the effect of MT was pronounced on the diode current, ideality factor, and shunt resistance. Thus, the provision made by this work is essential for advanced design and simulation of helio-photovoltaic systems.     

User involvement in the ergonomic development of a medical instrument: a longitudinal case study

In this study the focus is on the continuous ergonomic-focused development of a medical instrument that is capable of performing blood group serological tests. Primarily, a medical device must be clinically effective and safe. At the same time it must also meet the needs of its users. This calls for consideration of numerous ergonomic aspects. The development process of the product line in question was supported by a longitudinal series of carefully designed focus groups. Altogether, the 23 focus groups conducted included 245 participants from 72 laboratories. The aim of the empirical research was to collect users’ experiences, ideas and needs as inputs for the following phase of the product development process. During the mentioned focus group analyses, around 100 development proposals were conceived. Besides presenting more of the mentioned development proposals, the focus group analysis was shown as a proper methodology to involve end-users in the development and implementation of new technology or devices.     

When the dark ones become darker: How promotion focus moderates the effects of the dark triad on supervisor performance ratings

The current study adds to a growing body of research on dark personality traits by investigating the moderating role of promotion focus on the relationships among dark triad traits and facets of job performance. Specifically, we investigated the effects of the dark triad (i.e., Machiavellianism, narcissism, and psychopathy) on supervisor ratings of performance, and the moderating effect promotion focus has on those effects. Using field data, we surveyed 549 employees from a manufacturing company in the USA and obtained supervisor ratings of task performance and helping behavior for each employee. We found support for multiple hypotheses, which suggests that managers rated narcissistic and psychopathic employees as having poorer task performance and psychopathic employees as engaging in fewer helping behaviors than employees low in those traits. Furthermore, promotion focus strengthened these negative relationships. We did not find these effects for Machiavellianism. Implications of these findings for future dark personality research as well as the practical implications for managers and organizations are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

生活垃圾卫生填埋场渗滤液处理系统工程设计

本文从工程的角度出发对垃圾填埋场渗滤液处理系统工程设计中的几个重点、难点计算参数,以及目前国内外几个典型垃圾填埋场的渗滤液处理工艺流程、处理效果做了介绍,并在此基础上提出了几点建议     

基于指标规范值的地表水水质的模糊综合评价

传统的模糊综合评价法用于地表水水质评价,当指标数较多时需要设计很多隶属函数,设计和计算工作量皆很大,实际使用不便。在设定指标参照值和规范变换式基础上,将指标按各级标准规范值相近程度进行适当分类,只需分类设计隶属函数即可,大幅减少了计算工作量,使模糊综合评价法应用于地表水水质评价变得简化。     

河南省人类活动净磷输入的时空变化与影响参数

为探究河南省人类活动净磷输入状况,基于河南省18个省辖市(县辖市)行政单元统计数据,利用人类活动净磷输入量(NAPI)模型,核算河南省1990、1995、2000、2005、2010、2015和2019年人类活动净磷输入量.结果表明:在时间尺度上,1990～2015年河南省NAPI整体呈升高趋势,2015～2019年略...     

含汞固废(危废)焙烧过程汞的迁移及治理技术研究

本文通过试验,阐明了舍汞固废（危废）焙烧过程中汞的迁移情况,并得到了焙烧治理技术的最佳工艺参数为：焙烧温度600℃、焙烧时间5h、炉内压力-50Pa—100Pa;焙烧后固废中残留汞含量小于0．0015％;汞回收率达95％左右。     

优化、RSA和GLUE方法在非线性环境模型参数识别中的比较

参数识别是数学模型应用的前提,本文对非线性环境模型常用的3种参数识别方法进行了比较分析.优化方法是出现最早、应用最广泛的参数识别方法之一.但在观测误差存在的情况下,采用优化方法识别的最优参数进行模型预测,存在很大的决策风险.考虑到这种不足,RSA方法和GLUE方法摒弃了识别单一最优参数的传统思维,而把识别参数扩大到多点组成的参数集.RSA方法与GLUE方法不同的是,RSA方法把可行的参数点看成是同等接受的,而GLUE方法则根据模拟值与实测值的差别,确定其似然度,代表参数的可信度水平.除参数识别以外,RSA方法和GLUE方法也是全局灵敏度分析的重要工具.