Success factors and barriers in re-use of electrical and electronic equipment

This paper aims to identify specific and generic success factors and barriers in the re-use of electrical and electronic equipment for a variety of different operating models. The scope of the study is information and communication technologies (ICT) and large household appliances. Success factors and barriers for re-use were identified through the conducting of semi-structured interviews with 28 case study partners representing the different models. A list of generic success factors and barriers was identified. From this generic list, the re-use success factors and barriers were ranked by the interviewees with regards to their importance. On the one hand, the difficulty in accessing sufficient volumes of good quality used equipment and the lack of legislations, which support, incentivize and – if necessary – enforce this access, were identified as most impactful barriers. On the other hand, the control and securing of product and process quality were ranked as most important success factors. Re-use organisations, which adhere to good re-use practices, differentiate themselves through quality guarantee from non-compliant, informal competitors. Moreover, proven quality strengthens confidence in re-use of important stakeholders like suppliers, customers, authorities and the general public. Differences in reuse barriers and success factors were also explored for varying geographical regions, product category and operating models.     

Role of behavioural factors in green supply chain management implementation in Indian mining industries

Green supply chain management (GSCM) integrates ecological concepts with those of supply chain management in order to minimize energy and material usage and to reduce adverse impacts of supply chain activities on the environment. GSCM implementation in mining industries depends largely upon certain factors which are influenced by human behaviours. Human behaviour is dynamic in nature and the relationships between them continuously evolve and change. In this ever-changing context, therefore, identifying and ranking the behavioural factors that affect GSCM implementation becomes essential. This can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective implementation of green practices in mining supply chains. The present research attempts to explore various behavioural factors affecting GCSM practices and their interactions which help to attain green-enabled needs. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified behavioural factors.     

大气环境因素与腐蚀速率的模糊聚类分析

本文针对我国8个典型大气环境试验站的环境因素数据与基础金属腐蚀数据。采用模糊聚类方法对15项环境因素进行分类,探讨各项环境因素之间的相关性。分析结果表明：有4项环境因素对基础金属腐蚀等级的影响性较高。     

生态清淤施工过程对巢湖水质影响的模拟

本研究以巢湖生态清淤为例,在水动力模型的基础上,采用平面二维恒定流和悬浮物扩散数学模型来描述生态清淤施工悬浮物的运动形态和排泥场尾水的影响。结果表明:生态清淤施工悬浮物扩散会给清淤区域内及周边约660 m范围的水体水质造成一定的影响。排泥场尾水排放口下游悬浮物最高浓度约4.8 mg/L,TN浓度最大增量约为0.164 mg/L,TP浓度最大增量约为0.004 mg/L。总体来说,尾水排放的SS、TN、TP对湖区的影响范围不大,其影响程度有限。     

人工湿地去除氨氮机理及影响因素研究

人工湿地的脱氮主要是通过水生植物吸收、微生物的硝化和反硝化以及氮的挥发等途径来实现的,微生物的硝化与反硝化是主要的脱氮机制。人工湿地去除氨氮的影响因素很多,不仅受到基质、微生物和水生植物这3种人工湿地构成要素的影响,还受到溶解氧(DO)、pH和温度的影响,改善这些影响因素从而达到良好的脱除氨氮效果。最后对人工湿地基质吸附饱和后再生处理问题进行了探讨。     

饭店绿色竞争力的关键要素与提升路径探讨

饭店的绿色竞争力是企业在提高了绿色化水平后在市场竞争中所表现出来的相对优势。绿色竞争力是企业竞争力的一部分,它主要由绿色技术、绿色管理、绿色产品、绿色人力、绿色营销等五个关键要素构成,并通过这些要素的改进和提高来实现饭店整体竞争力的提升。通过绿色竞争力的提高,可以使饭店在不牺牲环境利益的前提下获得更大、更持续的经营效益。     

高盐度采油废水生物处理影响因素

采用UASB+SBR法处理某海洋油田产生的采油废水。针对该废水难降解和高盐度的特性,探讨总盐度、Cl-浓度、处理负荷、曝气时间等因素对生物处理过程的影响,为工程设计及实际应用提供科学依据。     

高锰酸盐指数测定的影响因素研究

采用正交实验设计法L9(34)考察高锰酸盐指数测定的影响因素,确定各因素的主次关系及最佳测定条件。结果表明,高锰酸钾浓度对高锰酸盐指数测定的影响程度最大,其次是加热时间及滴定时间,影响较小的是溶液的酸度。在最佳测定条件下:1+3硫酸、加热8min、60s内滴定、高锰酸钾浓度为0.0100mol/L,加标回收率为101%。     

降低总氮空白吸光值的因素探讨

为了有效控制总氮的空白吸光值,本文从容器的洗涤、实验用水、试剂纯度、样品的消解、后处理阶段等环节进行分析,通过科学实验,探讨了其影响因素,找到最佳条件：用1：3的硫酸清洗容器消除有机物的干扰,GR级的过硫酸钾和AR级的氢氧化钠分别进行溶解作为消解剂,控制消解的时间超过30分钟,最后用1：9的盐酸消除干扰,总氮的空白值可以控制在0.020之内。     

Simulating mesoscale transport and diffusion of radioactive noble gases using the Lagrangian particle dispersion model

In order to simulate the impact of mesoscale wind fields and to assess potential capability of atmospheric Lagrangian particle dispersion model (LPDM) as an emergency response model for the decision supports, two different simulations of LPDM with the mesoscale prognostic model MM5 (Mesoscale Model ver. 5) were driven. The first simulation of radioactive noble gas ((85)Kr exponent) emitted during JCO accident occurred from 30 September to 3 October 1999 at Tokai, Japan showed that the first arriving short pulse was found in Tsukuba located at 60km away from the accidental area. However, the released radioactive noble gas was transported back to the origin site about 2 days later due to the mesoscale meteorological wind circulation, enhancing the levels of (85)Kr with the secondary peak in Tsukuba. The second simulation of atmospheric dilution factors (the ratio of concentration to the emission rate, chi/Q), during the underground nuclear test (UNT) performed by North Korea showed that high chi/Q moved to the eastward and extended toward southward in accordance with the mesoscale atmospheric circulations generated by mesoscale prognostic model MM5. In comparison with the measurements, the simulated horizontal distribution patterns of (85)Kr during the JCO are well accord with that of observation in Tsukuba such as the existence of secondary peak which is associated with the mesoscale circulations. However, the simulated level of (85)Kr anomaly was found to be significantly lower than the observations, and some interpretations on these discrepancies were described. Applications of LPDM to two mesoscale emergency response dispersion cases suggest the potential capability of LPDM to be used as a decision support model provided accurate emission rate of accident in case of a large accident.