中国地区二次有机气溶胶的时空分布特征和来源分析

二次有机气溶胶(SOA)由于其在大气污染、气候变化与人体健康方面的影响,是我国大气环境中一种重要的污染物.确定中国SOA分布规律以及产生来源是大气污染防治的前提.利用全球化学传输模型(Model for Ozone and Related Chemical Tracers,Version 4,MOZART4)并集成多相SOA参数化方案,模拟了中国地区SOA的时空分布,并按前体物分区域进行了来源分析.结果表明,受SOA前体物排放分布的影响,中国地区的SOA主要分布在东部和南部地区,并且夏季SOA产量是冬季产量的2.5倍.中国地区分布的SOA由人为源排放产生占55%,高于自然源(45%);并且境内排放贡献了我国SOA产量的77%,主要影响东部近地面大气的浓度分布.境外排放主要影响我国西部地区,尤其是对高空SOA分布影响显著.     

兰州地区大气污染的化学组成及来源解析

为探究大气污染的特征,于2020年5月—2021年4月在中国西北部的兰州市区采集了总悬浮颗粒物样品227个,利用离子色谱仪、热/光碳分析仪对主要水溶性离子、元素碳(EC)和有机碳(OC)的质量浓度进行了测定.结果显示,兰州地区大气总悬浮颗粒物质量浓度均值为(376.7±974.8)μg·m^-3,高于国家环境空气质量二级标准(NAAQS),呈昼低夜高的变化特征主要是由于兰州地区夜间大气多处于静稳状态导致的污染物累积效应.水溶性阴、阳离子按质量浓度排序为NO₃^->SO₄^2->Cl^-、Ca²⁺>NH₄⁺>Na⁺>K⁺>Mg²⁺,其中二次离子(NO₃^-、SO₄^2-、NH₄⁺     

Source attribution for mercury deposition with an updated atmospheric mercury emission inventory in the Pearl River Delta Region,China

Estimated anthropogenic Hg emission was 11.9 tons in Pearl River Delta for 2014. Quantifying contributions of emission sources helps to provide control strategies. More attentions should be paid to Hg deposition around the large point sources. Power plant, industrial source and waste incinerator were priorities for control. A coordinated regional Hg emission control was important for controlling pollution. We used CMAQ-Hg to simulate mercury pollution and identify main sources in the Pearl River Delta (PRD) with updated local emission inventory and latest regional and global emissions. The total anthropogenic mercury emissions in the PRD for 2014 were 11,939.6 kg. Power plants and industrial boilers were dominant sectors, responsible for 29.4 and 22.7%. We first compared model predictions and observations and the results showed a good performance. Then five scenarios with power plants (PP), municipal solid waste incineration (MSWI), industrial point sources (IP), natural sources (NAT), and boundary conditions (BCs) zeroed out separately were simulated and compared with the base case. BCs was responsible for over 30% of annual average mercury concentration and total deposition while NAT contributed around 15%. Among the anthropogenic sources, IP (22.9%) was dominant with a contribution over 20.0% and PP (18.9%) and MSWI (11.2%) ranked second and third. Results also showed that power plants were the most important emission sources in the central PRD, where the ultra-low emission for thermal power units need to be strengthened. In the northern and western PRD, cement and metal productions were priorities for mercury control. The fast growth of municipal solid waste incineration were also a key factor in the core areas. In addition, a coordinated regional mercury emission control was important for effectively controlling pollution. In the future, mercury emissions will decrease as control measures are strengthened, more attention should be paid to mercury deposition around the large point sources as high levels of pollution are observed.     

External relational attributions: Attributing cause to others' relationships

I present an attributional approach to understanding how people perceive and respond to the effects of others' relationships in the workplace by suggesting that people perceive others' relationships to be causal sources of workplace outcomes. Specifically, I suggest that individuals' responses to negative outcomes at work can be better understood by differentiating between two types of external attributional explanations: external relational attributions and external nonrelational attributions. This research focuses on the conceptual development of external relational attributions, which are defined as those attributional explanations made for outcomes or behaviors experienced or observed by a focal individual that locate the cause of an outcome within the relationship between two others (people, groups, organizations, or any combination), not including the focal individual. Further, I propose situational antecedents and behavioral outcomes of external relational attributions, with an emphasis on individuals' behaviors toward others' relationships. Lastly, I highlight the advantages of considering the role of others' relationships when applying attribution theory to a variety of organizational phenomena and present directions for future research.     

Attribution theory: An introduction to the special issue

This special issue of the Journal of Organizational Behavior was developed to further extend attribution theory and its application to the field of organizational behavior. In this introduction, we provide a brief overview of the motivation for this special issue, a concise summary of the papers included in it, a discussion about progress toward the field's goals, and suggestions for how future research can move the field forward. In doing so, we describe how applying attribution theory to studies that utilize a broad range of study designs, research contexts, and focal topics results in insights that enhance our understanding of how attributional processes predict and explain individuals' emotions and behaviors. We also provide suggestions for how to further develop attribution theory so we can more clearly describe the generalizability of relationships across a wide variety of organizational contexts.     

Episodic envy and counterproductive work behaviors: Is more justice always good?

The authors examined how perceived event‐specific procedural and distributive justice about own and envied others' outcomes interacts with episodic envy to predict counterproductive work behaviors. Our results were consistent with the attribution model of justice, finding that episodic envy significantly predicted counterproductive work behaviors aimed at envied others in the workplace and that this relationship was more pronounced when perceptions of procedural, but not distributive, justice about own or envied others' outcomes were high rather than low. We tested a moderated‐mediation model in which self‐attributions for the outcome mediated the effect of episodic envy on counterproductive work behaviors and that the effect of envy was stronger when perceptions of own or others' procedural justice were high rather than low. This research contributes to the literature on envy processes in the workplace and is the first to use a specific emotion, envy, as a proxy for a negative outcome in a demonstration of the attribution model of justice. Copyright © 2013 John Wiley & Sons, Ltd.     

Mountains and Handrails: Risk,Meaning, and Responsibility in Three National Parks

Where we live, the relationships we maintain, or the experiences we have can tell us about the way we perceive risk and the responsibility for its management. Perceptions of risk and responsibility are particularly relevant in US national parks, where unintentional injury is prevalent, yet support exists for allowing risk exposure. If experiencing risk may be both desirable (e.g., self-affirming) and undesirable (e.g., injury-causing), what is its role in a national park? Moreover, what are the expectations for visitors to encounter or to avoid it? In-depth interviews with National Park Service employees suggest that desired risk is contingent upon the circumstances in which it is encountered, and the values and prior experience of individuals. Employees perceive visitors as responsible for avoiding undesirable risk through information seeking and awareness, but also recognize considerable barriers to doing so. Theoretical and practical implications and avenues for future research are presented.     

学校德育信度和效度缺损归因及对策探析

德育做为学校教育的组成部分之一,对人的全面发展具有重要意义.但是,随着经济的发展,普遍出现了德育的信度和效度缺损,道德的滑坡的现象.究其原因,我们可以从德育的内容、德育过程、德育目的等几个方面进行探讨,提高德育有效性,可以从营造良好的德育环境、确定恰当的德育目标、调整和充实德育内容等多个方面着手.     

Biomagnetic monitoring of industry-derived particulate pollution

Clear association exists between ambient PM₁₀ concentrations and adverse health outcomes. However, determination of the strength of associations between exposure and illness is limited by low spatial-resolution of particulate concentration measurements. Conventional fixed monitoring stations provide high temporal-resolution data, but cannot capture fine-scale spatial variations. Here we examine the utility of biomagnetic monitoring for spatial mapping of PM₁₀ concentrations around a major industrial site. We combine leaf magnetic measurements with co-located PM₁₀ measurements to achieve inter-calibration. Comparison of the leaf-calculated and measured PM₁₀ concentrations with PM₁₀ predictions from a widely-used atmospheric dispersion model indicates that modelling of stack emissions alone substantially under-predicts ambient PM₁₀ concentrations in parts of the study area. Some of this discrepancy might be attributable to fugitive emissions from the industrial site. The composition of the magnetic particulates from vehicle and industry-derived sources differ, indicating the potential of magnetic techniques for source attribution.     

河流水质模拟及污染源归因分析

针对大连市登沙河流域水环境质量问题,采用输出系数法估算流域内工业点源、农村生活、畜禽养殖、农业种植的氨氮和总磷入河污染负荷,基于QUAL2K水质模型模拟污染物的迁移转化规律,解析各污染源在不同时、空尺度下对河流中、下游水质考核断面的污染负荷贡献.结果表明：畜禽养殖是研究区氨氮污染的主要来源,分别占中游和下游断面氨氮总负荷的56.5%和43.2%;农业种植是总磷污染的主要来源,分别占中游和下游断面总磷总负荷的50.4%和59.1%.此外,由于天然降水及人类活动的季节性特征,各污染源的负荷贡献亦呈现年内变化.基于以上分析,进一步因地制宜地提出研究区水环境治理措施建议,研究可为我国农村地区中小河流水质改善及水环境管理提供示范参考和决策依据.