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。     

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%。     

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.     

Factors influencing the quality of rural human settlements in a peripheral metropolitan area based on a structural equation model: A case study from Beijing

Rural human settlement is a significant indicator of the living standards of rural residents, and its improvement can contribute to promoting the positive interaction between inhabited environment and the social, economic, and resource environment in the countryside. Based on 557 valid questionnaires of satisfaction evaluation of human settlement in the peripheral metropolitan area of Beijing, this paper analyzed the elemental characteristics and factors influencing human settlement quality using multivariate statistical analysis and a structural equation model. The result shows that, first, the rural residents in a peripheral metropolitan area of Beijing are generally satisfied with the quality of human settlement (satisfaction rate is 66.2%). Specifically, the natural and social environment of the countryside is excellent and harmonious and corresponding standard of countryside infrastructure is advanced, but the quality of public services and follow-up management of facilities are in urgent need of improvement and the imbalance between revenue and expenditure of rural households has led to a continuous increase in the pressures of life. Second, factors such as social atmosphere, appearance of the village, entertainment, living costs, fundamental public services, and production costs have significant effects on human settlement quality in this peripheral metropolitan area, with social atmosphere as the main one. Living costs and supporting services are the main constraints to improvement in the quality of human settlement.     

环境审计制度选择影响因素的实证分析

随着环境问题的日益严重,污染治理工具的选择和实施成为社会各界普遍关注的焦点.本文选择150个国家的国别数据,采取logit模型对环境审计制度选择的影响因素进行分析.研究结果表明,经济发展水平、环境保护投资和社会信息化程度与一国是否开展环境审计成显著正相关;审计体制对环境审计的开展也具有显著性影响;而污染排放现状、邻国的决策对环境审计制度选择的影响并不显著.本文的研究表明,与传统命令——控制型规制工具的普适性不同,作为一种信息化的污染治理工具,环境审计是经济社会发展到一定阶段国家最高审计机关的选择.进一步,利用我国2007年-2011年的相关数据进行基于主成分回归的符合性检验,结果显示环境审计的概率值p皆高于50％,且逐年递增,表明我国现阶段实施环境审计的条件和时机已经基本成熟.本文的研究发现为我国最高审计机关“十二五”期间将环境审计作为一种独立的审计类型,在全国推行环境审计工作提供了理论依据.     

宁夏石嘴山市农用地土壤硒的富集因素

石嘴山市是典型的枯竭型资源城市,为发展富硒农产品种植业和促进城市绿色可持续发展转型,在石嘴山市开展富硒土壤调查.采集农用地中7399个表层（0~20 cm）土壤样、30个大气沉降样和9个成土母岩样,运用GS⁺、ArcGIS和SPSS软件通过构建半方差变异函数模型、普通克里金插值、统计学的相关分析和均值分析等方法对土壤硒（Se）的含量、空间分布和富集因素进行分析,对碱性土壤区Se的富集特征进行探索归纳.结果表明,石嘴山市农用地表层土壤ω（Se）为（0.26±0.12） mg·kg^-1,空间分布自相关性极强,Se含量变化与自然因素相关,离贺兰山山前煤矿聚集地近者Se含量较高;成土母质是控制土壤Se富集的首要因素,土壤理化性质如有机质、pH和铁锰氧化物等均对Se在表生环境中富集有一定影响;相比强碱性环境,碱性条件更利于Se的富集.