It is time for justice: How time changes what we know about justice judgments and justice effects

Organizational justice is an important determinant of workplace attitudes, decisions, and behaviors. However, understanding workplace fairness requires not only examining what happens but also when it happens, in terms of justice events, perceptions, and reactions. We organize and discuss findings from 194 justice articles with temporal aspects, selected from over a thousand empirical justice articles. By examining temporal aspects, our findings enrich and sometimes challenge the answers to three key questions in the organizational justice literature relating to (i) when individuals pay attention to fairness, including specific facets, (ii) how fairness judgments form and evolve, and (iii) how reactions to perceived (in)justice unfold. Our review identifies promising avenues for empirical work and emphasizes the importance of developing temporal theories of justice. Copyright © 2014 John Wiley & Sons, Ltd.     

Optimal sizing and siting of renewable energy resources in distribution systems considering time varying electrical/heating/cooling loads using PSO algorithm

Distributed Generation (DG) sources based on Renewable Energy (RE) can be the fastest growing power resources in distribution systems due to their environmental friendliness and also the limited sources of fossil fuels. In general, the optimal location and size of DG units have profoundly impacted on the system losses in a distribution network. In the present article, the Particle Swarm Optimization (PSO) algorithm is employed to find the optimal location and size of DG units in a distribution system. The optimal location and size of DG units are determined on the basis of a multi-objective strategy as follows: (i) the minimization of network power losses, (ii) the minimization of the total costs of Distributed Energy Resources (DERs), (iii) the improvement of voltage stability, and (iv) the minimization of greenhouse gas emissions. The related distribution system was assumed to be composed of the fuel cells, wind turbines, photovoltaic arrays, and battery storages. The electrical, cooling, and heating loads were also considered in this article. The heating and cooling requirements of the system consist of time varying water heating load, space heating load, and space cooling load. In this study, the waste and fuel cell were used to produce the required heating and cooling loads in the distribution system. In addition, the absorption chiller was used to supply the required space cooling loads. A detailed performance analysis was carried out on 13 bus radial distribution system to demonstrate the effectiveness of the proposed methodology.     

Integrating Temporal Inequality into Conservation Planning to Improve Practice Design and Efficacy

In contrast to spatial inequality, there are currently no methods for leveraging information on temporal inequality to improve conservation efficacy. The objective of this study was to use Lorenz curves to quantify temporal inequality in surface runoff and tile drainage, identify controls on nutrient loading in these flowpaths, and develop design flows for structural conservation practices. Surface runoff (n = 94 site‐years) and tile drainage (n = 90 site‐years) were monitored on 40 fields in Ohio. Results showed, on average, 80% of nitrate‐nitrogen, soluble reactive phosphorus (P), and total P loads occurred between 7 and 12 days per year in surface runoff and between 32 and 58 days per year in tile drainage. Similar temporal inequality between discharge and load provided evidence that loading was transport‐limited and highlighted the critical role hydrologic connectivity plays in nutrient delivery from tile‐drained fields. Design flow criterion for sizing structural practices based on load reduction goals was developed by combining Lorenz curves and flow duration curves. Comparing temporal inequality between fields and the Maumee River, the largest tributary to the western Lake Erie Basin, revealed challenges associated with achieving watershed load reduction goals with field‐scale conservation. In‐field (i.e., improved nutrient and water management), edge‐of‐field (i.e., structural practices), and instream practices will all be required to meet nutrient reduction goals from tile‐drained watersheds.     

随机过程“各态历经”理论应用于环境噪声监测优化布点

本文尝试应用随机过程“各态历经”理论，在大、中、小多个样本中研究城市环境噪声监测的时—空相关性，找出“定点测量法”与“网格测量法”的内在联系，探讨以“定点测量法”取代“网格测量法”进行城市区域环境噪声普查的可行性，从而实现环境噪声监测优化布点及为实现城市环境噪声自动监测布点提供技术依据     

喀什市2022年环境空气质量特征分析

为摸清喀什市环境空气质量变化特征,为管理部门进行污染精准管控提供科学参考,基于喀什市2022年环境空气自动监测数据开展分析研究。结果表明:2022年喀什市二氧化硫、二氧化氮、臭氧、一氧化碳年均质量浓度均优于国家二级标准。超标污染物主要为可吸入颗粒物和细颗粒物。喀什市细颗粒物、可吸入颗粒物浓度呈春、秋、冬季高,夏季低的季节特征。     

The effects of daylight saving time on vehicle crashes in Minnesota

Introduction: Daylight saving time (DST), implemented as an energy saving policy, impacts many other aspects of life; one is road safety. Based on vehicle crash data in Minnesota from 2001 to 2007, this paper evaluates long- and short-term effects of DST on daily vehicle crashes. Method: To provide evidence to explain the causes of more/fewer crashes in DST, we examine the impact of DST on crashes in four periods of a day: 3 a.m.-9 a.m., 9 a.m.-3 p.m., 3 p.m.-9 p.m., 9 p.m.-midnight. The effects of risk and exposure to traffic are also separated. Our statistical models not only include weather conditions and dummy variables for days in DST as independent variables, but also consider traffic volumes on major roads in different periods of a day. Our major finding is that the short-term effect of DST on crashes on the morning of the first DST is not statistically significant. Moreover, it is interesting to notice that while DST per se is associated with fewer crashes during dusk, this is in part offset because it is also associated with more traffic on roads (and hence more crashes). Our path analysis shows that overall DST reduces crashes. Impact on industry: Daylight saving time can lead to fewer crashes on roads by providing better visibility for drivers.     

云南省近500年旱涝灾害时间序列的分形研究

根据云南省近500年的旱涝灾害时间分布序列,应用R/S分析,预测了未来旱涝灾害的发生时间,但预测时间尺度不同,结果也不同,因此仅从旱涝灾害发生的时间序列本身来预测,需确定其能够预测的时间范围;应用Smalley算法分别对云南省干旱和洪涝灾害的时间序列特征进行分析,干旱年发生时间序列的分形维数为0.5498,洪涝年发生时间序列的分形维数为0.4923,具有明显的分形特征,均小于Cantor集合的0.6309,可见云南省旱涝灾害发生的自组织程度可能会提高。分形研究的结果反映的仅是云南省近500年旱涝灾害时间序列的平均状况,由于旱涝灾害的分布具有空间差异,因此需分别研究不同程度灾害区旱涝时间序列的分形及多重分形特征。     

地铁车站人员疏散离散时间模型研究

疏散时间对于保证地铁车站这类复杂建筑结构内人群的安全至关重要,本文借鉴群集流动理论建立了用于计算地铁车站人群移动时间的疏散离散时间模型(EDTM),模型中的人群流动系数取值不同于传统计算公式中的常量,依据的是经典的车站人群密度与速度函数关系式。将此模型用于某地铁车站站台层,求解楼梯出口疏散人数与时间的关系,并与Building EXODUS疏散软件的模拟结果以及传统地铁车站疏散时间计算公式的计算结果进行了对比,分析表明,EDTM计算结果与EXODUS疏散模拟结果非常接近,且比传统公式计算更为精确和符合实际情况。该计算模型可以为地铁车站人群疏散时间计算、建筑出口性能化设计,以及地铁车站事故应急预案的制定提供更有效的工具。     

我国曝气塘水力停留时间和比功率选用范围分析

在总结和分析国外曝气塘水力停留时间和比功率选用状况的基础上,阐述了盲目应用国外曝气塘有关设计参数进行我国曝气塘设计可能出现的问题,并计算和提出了我国曝气塘设计水力停留时间和比功率的选用范围。      

两级完全混合发酵工艺开发碳源试验研究

采用两级完全混合发酵工艺进行碳源开发试验,研究了水力停留时间(HRT)和污泥停留时间(SRT)对工艺开发碳源效果的影响.研究表明,固定SRT为4d,污泥回流比为1,HRT在32~36h,系统出水的溶解性COD(SCOD)可维持在1090~1180mg/L,且浓缩池泥水分离效果较好,出水的SS保持在50~80mg/L.保持系统的HRT为32h,污泥回流比为1,SRT在4~7d时,可实现厌氧系统中产酸菌与产甲烷菌的分离,系统能够保持良好的产酸效果,此时系统出水的SCOD值基本稳定于980~1179mg/L.碱度可以作为衡量水解酸化系统是否有效运行的重要参数.HRT为32h,SRT为4d的工况下,初沉污泥酸化发酵系统对氨氮和磷的释放率分别为3.88 mgN/gVSS和0.27mgP/gVSS.