污水生物处理单元能量平衡与分析方法研究与应用

在提出污染物内能概念的基础上，对污水生物处理工艺能量平衡和分析的原理与方法进行了探讨，建立了能量平衡研究的基本模型。据此对国内四座不同工艺的城市污水处理厂进行了生物处理单元的能量衡算，并采用两类指标对处理单元耗能状况进行了评价。应用能量平衡分析方法可进行处理工艺的设计遴选和建成后运转效果的评判，以及指导处理厂有针对性地采取节能降耗措施。     

资源可持续利用:一种资源利用伦理原则

论文阐释了资源利用伦理的概念,从历史实践、现实需求和社会基本伦理意识等方面说明资源可持续利用伦理原则的合理性,用博弈论方法重点讨论了资源可持续利用伦理原则在资源利用中克服“囚徒困境”的作用,伦理失灵的原因和伦理法律化的必要性。     

水安全保障问题浅议

自然界的水与其它矿产资源的不同,是具有利和有害的二重性。水既有可资利用以为人类社会服务的一面,又有因水带来的危害,如洪涝、干旱现象以及水致疾病的传播的一面。因此,为加强水的安全保障作用,需采取一系列的工程和非工程措施所建立的系统,并在实施该系统时注意以下方面,包括:在确保水源不受损害的条件下为各类用水要求提供适当保证程度的供水,在适应国家经济发展水平和综合国力的前提下,采用适当标准进行江河治理,以努力减轻各类因水引起的灾害损失;千方百计增加可利用水量,开辟新水源;大力推行合理用水和节约用水技术;非常重视保护环境,特别是保护生态系统,以维护人类自下而上环境的持续发展。     

Using a pattern‐oriented approach to study leaders: Implications for burnout and perceived role demand

Using a pattern‐oriented approach, we identified clusters of leaders who shared theoretically meaningful combinations of transformational, contingent reward, management by exception active, management by exception passive, and laissez‐faire leadership styles. Drawing upon conservation of resources theory, we examined whether leaders who shared a similar pattern of leadership styles differed from leaders who belonged to other profile groups, with respect to felt burnout and perceived role demands. Hypotheses were tested using a time‐lagged field study involving 183 leaders. Using latent profile analyses, we found four theoretically interpretable patterns. Leaders who belonged to the comprehensive cluster (elevated scores on the transformational, contingent reward, and the passive styles; 14.2%) experienced the highest levels of burnout and role demands, whereas those who were disengaged (low scores on all styles; 33.3%) reported the lowest levels. Leaders who exhibited a passive behavioral pattern (elevated scores on management by exception active, management by exception passive, and laissez‐faire relative to the other styles; 27.3%) experienced more burnout and role demands than did leaders who exhibited an optimal pattern (elevated scores on transformational and contingent reward styles relative to the passive styles; 25.1%). The theoretical and practical implications of a pattern‐oriented approach to leadership research were discussed. Copyright © 2017 John Wiley & Sons, Ltd.     

Towards sustainable consumption: Predicting the impact of social‐psychological factors on energy conservation intentions in Northern Cyprus

The incessant demand and consumption of energy services among individuals’ is increasing throughout the world. Individuals’ electricity consumption in Northern Cyprus has risen considerably. However, the demand for electrical energy services on the island is heavily reliant on imported fossil fuels. Burning fossil fuels has adverse effects on its environment. Therefore, sustainable energy consumption is required and individuals are targeted for energy conservation to reduce electricity consumption. Against this background, using the Structural Equation Modeling approach, this research incorporates social‐psychological factors; personal norms, positive and negative emotions into the theory of planned behaviour (TPB) model to assess the relationships among the variables, explain their impact on consumers’ electricity conservation intentions and enhance the explanatory power of the model. Data was conveniently obtained from a quantitative sample of 400 electricity consumers. The results indicate that negative emotions have the strongest significant influence on intentions, but personal norms have the least effect on intentions to save electricity. Furthermore, the study revealed that our expanded TPB model can provide improved explanatory power more than the original TPB. Policy implications, limitations and future research are discussed.     

A framework for sustainable supply chain in emerging economies

Sustainable supply chains (SSC) are an essential topic in emerging economies for achieving sustainable development. Because of their rapid economic growth, emerging economies are experiencing both sides of this development: the well‐being enhancement and the environmental impact. However, decision makers and practitioners do not have robust models for managing supply networks that consider the sustainability complexities. This study aims to provide a better understanding of SSC in emerging economies and proposes a generic framework to improve the decision‐making process. Based on a review of the literature, a decision framework for sustainability is proposed. A green sustainable decision concept is also discussed in the SSC literature. This study has implications for scholars, decision makers, and practitioners interested in advancing the SSC field based on an extension of the framework.     

Company engagement with supply chains to protect biodiversity and rare,threatened, and endangered species

Future global megatrends project a population increase of 2 billion people between 2019 and 2050 and at least 1–2 billion people added to the global middle class between 2016 and 2030. In addition, 68% of the world's population is projected to be living in urban areas by 2050. With these projected large population increases and shifts, demand for food, water, and energy is projected to grow by approximately 35, 40, and 50%, respectively, between 2010 and 2030. In addition, between 1970 and 2014 there was an estimated 60% reduction in the number of wildlife in the world and an estimated net loss of 2.9 billion birds, or 29%, in North America between 1970 and 2018. Loss of species populations and number of species is interconnected with reduced health of biodiversity and ecosystems. Human activity has been the main catalyst for these substantial declines primarily through impacts on habitats. These losses are accelerating. Since a company's supply chain environmental impacts are often as great or greater than its own direct environmental impacts, it may be prudent for companies to engage with their supply chains to protect and enhance habitats and biodiversity and protect rare, threatened, and endangered species. As one example, companies may have opportunities and strategic reasons to include requirements in their supplier codes of conduct and supplier standards for suppliers to protect biodiversity and rare, threatened, and endangered species, as well as additional requirements to expand or enhance habitats and ecosystems to increase biodiversity. This article follows one pathway that companies could pursue further and with greater speed—to engage with their supply chains to strengthen supplier codes of conduct to protect biodiversity and rare, threatened, and endangered species. The importance of forests, private land, and landscape partnerships is discussed as means to protect much more of the planet's biodiversity and rare, threatened, and endangered species. Lastly, the article identifies examples of opportunities for companies to more formally incorporate biodiversity into their business, supply chain, and sustainability strategies.     

Cloning and expression of α-amylase in E. coli: genesis of a superior biocatalyst for substrate-specific MFC

One of the most practical approaches for establishing a successful microbial fuel cell (MFC) is to fasten the oxidation rate of the substrate by the microorganisms to get quick paced electron transfer between microbes and electrode. A genetically modified Escherichiacoli, overexpressing α-amylase, is constructed and applied as biocatalyst in MFC using starch as substrate. The results are compared with nonrecombinant, native E.coli. The results show better performance for the MFC containing the recombinant strain demonstrated by higher power density (PD), lower resistance, and significant electrochemical activity. Maximum PD has been recorded as 279.04 mW m^?2 compared to 120.33 Mw m^?2 for the MFC operated with nonrecombinant E.coli. The impedance results also suggest the effectiveness of the recombinant strain by lowering the internal resistance by more than half order as compared to the nonrecombinant one. These results affirm that the engineered strain can be used as a superior biocatalyst in contrast to the native strain and by using the technique of genetic alteration; gene of interest can be inserted based on the substrate to be treated. So, this work gives a useful insight for accomplishing successful MFC operation with the use of bacterial stains engineered at the molecular level.     

泰安市大气臭氧污染特征及敏感性分析

2018年5～7月对泰安市城区站点的臭氧及前体物进行在线监测,并基于特征比值法和光化学模型分析了臭氧及前体物的污染特征及臭氧生成对前体物的敏感性.结果表明,观测期间泰安市正遭受较为严重的臭氧(O_3)污染,臭氧浓度的日变化呈典型的单峰型变化,15:00左右出现最高值,氮氧化物(NO_x)和VOCs的日变化趋势整体呈现夜间高白天低的变化特征.由O_3生成效率(OPE)、VOCs/NO_x和H_2O_2/NO_z特征比值法及基于EKMA曲线的方法均得出观测期间泰安市大气O_3光化学生成偏向于NO_x敏感区及过渡区,削减NO_x和VOCs均对O_3生成具有控制作用.同时基于EKMA曲线的方法还得出在O_3前体物浓度减排时按照丙烯等效浓度(PE)与NO_x浓度比值为8∶3进行VOCs(PE)和NO_x削减可以达到O_3浓度控制的最佳效果.     

厦门市船舶控制区大气污染物排放清单与污染特征

以船舶自动识别系统(automatic identification system,AIS)数据,结合大量厦门港口实地调查信息,采用自下而上的动力法对在控制区内航行的船舶进行逐艘计算,得出2018年厦门市船舶控制区大气污染物排放清单,并详细分析了其污染物排放特征及时空分布.结果表明, 2018年厦门市船舶控制区内船舶污染物排放总量共16 413 t,其中进出港船舶污染物排放占82.2%,未进港船舶占17.8%,各污染物中以NO_x的排放量最大,占比达64.2%,不同航行状态下污染物排放量的顺序为停泊巡航低速巡航机动操控锚泊,控制区内船舶的主要污染来源于货船,并以集装箱船的污染物排放量为最大; 1 d中09:00～16:00处于船舶污染物排放高峰期,1 a中以2月的排放量为最低, 3月和5月出现排放峰值;空间特征上各污染物排放高值主要分布于主航道和港区海岸线.