Bridging the gap between green behavioral intentions and employee green behavior: The role of green psychological climate

How do employees' perceptions and interpretations of organizational policies, practices, and procedures affect the enactment of their behavioral intentions? In a daily diary study, we examined the between‐persons relationship of corporate environmental strategy and pro‐environmental or “green” psychological climate; and whether green psychological climate moderates the within‐person relationship of employees' daily green behavioral intentions and their green behavior on the following day. To test our hypotheses, we collected survey data from 74 employees across 10 workdays. Results showed that corporate environmental strategy is positively related to green psychological climate that, in turn, moderates the relationship between green behavioral intentions and next‐day employee green behavior. Specifically, we found the relationship to be positive only when employees perceive a positive green psychological climate. We discuss implications of our findings for future research on employee green behavior and for organizations interested in encouraging employee green behavior. Copyright © 2017 John Wiley & Sons, Ltd.     

绿色大学评价指标体系设计初探

绿色大学的建设是贯彻环境保护基本国策和实施可持续发展战略的重要举措之一。建立一套系统全面且便于操作的指标体系对绿色大学建设具有指导意叉。“绿色大学”建设围绕教育的核心，将可持续发展和环境保护的指导思想落实到大学的各项活动中、融入到大学教育的全过程。按目标层、准则层和指标层的思路构建绿色大学的评价指标体系。准则层由绿色教育、绿色校园、绿色科研、绿色实践和绿色办学构成，反映的是绿色校园建设所应包括的5大部分。指标层包括指标和主要参数，反映准则层的具体内容。     

中国生态农业与绿色食品

本文从农业环境问题和食品安全性出发，阐述了中国生态农业的兴起及特点，绿色食品生产的要求，生态农业与绿色食品的关系。介绍了几种可用于开发绿色食品的优化生态模式。     

浅谈成都绿色小区建设

绿色小区是21世纪人类与自然和谐共存的理想居住模式之一，并已成为房地产开发的热点。本文分析了成都市小区的建设现状，介绍了绿色小区建设的几项原则及绿色小区建设的主要内容，希望能对成都市绿色小区的建设起到抛砖引玉的作用。     

SOIL SALINITY PREDICTION USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: This study explores the applicability of Artificial Neural Networks (ANNs) for predicting salt build‐up in the crop root zone. ANN models were developed with salinity data from field lysimeters subirrigated with brackish water. Different ANN architectures were explored by varying the number of processing elements (PEs) (from 1 to 30) for replicate data from a 0.4 m water table, 0.8 m water table, and both 0.4 and 0.8 m water table lysimeters. Different ANN models were developed by using individual replicate treatment values as well as the mean value for each treatment. For replicate data, the models with twenty, seven, and six PEs were found to be the best for the water tables at 0.4 m, 0.8 m and both water tables combined, respectively. The correlation coefficients between observed salinity and ANN predicted salinity of the test data with these models were 0.89, 0.91, and 0.89, respectively. The performance of the ANNs developed using mean salinity values of the replicates was found to be similar to those with replicate data. Not only was there agreement between observed and ANN predicted salinity values, the results clearly indicated the potential use of ANN models for predicting salt build‐up in soil profile at a specific site.     

开发研制绿色化学产品

叙述绿色化学是一门从源头上彻底阻止污染的化学,简介了几种绿色化学产品及研究开发的进展。     

西部大开发要加强生态环境保护和建设

在实施西部大开发进程中,对原本生态环境十分脆弱的现状必须予以重视,切实加强生态环境保护与建设。     

Integrated model for renewable energy planning in Turkey

All economic sectors are associated with energy use; therefore, government organizations aim to supply sustainable energy for human needs and economic growth. In particular, increased environmental concerns of the public in Turkey have impacted policymaking for renewable energy (RE) management in Turkey. The primary objective for RE sources of the Turkish Ministry of Energy is to ensure that 30% of the share of electricity production is from RE resources in 2023. In this paper, the integrated multi-objective, multi-period linear programming model is presented to determine effective allocation of RE supply for seven different geographical regions in Turkey for the period of 2017 to 2024. The integrated model consists of two different stages. The first stage involves qualitative evaluations of RE sources for seven geographical regions. Analytical Hierarchy Process (AHP) is applied to determine criteria priorities and overall ratings of geographical regions across determined criteria for RE sources are computed. The second stage of the integrated model consists of a multi-objective, multi-period linear programming model. The proposed multi-objective linear programming model is coded in MPL (Mathematical Programming Language) and solved using the GUROBI 5.1.0 solver. The output of the integrated model presents the total supply amount of RE sources for geographical regions in planning period. The ε-constraints method is applied to compute the total supply amount of RE from geographical regions for the period of 2017 to 2024. In this study, a systematic decision-making model is generated to allocate renewable energy sources to the geographical regions. The presented model integrates qualitative evaluations and quantitative parameters of different geographical regions to determine the optimal supply amount of RE. The obtained results are consistent with the potential quantities of RE alternatives in geographical regions, regional specifications, and social requirements.     

绿灯倒计时信号对驾驶行为的影响

为揭示绿灯倒计时信号对交叉口交通安全的影响,针对不同交通负荷与信号控制方式下的驾驶行为开展研究。选择大连市内的倒计时信号交叉口与非倒计时信号交叉口各2处,开展车辆行驶速度及不良驾驶行为调查。用数理统计方法,对比分析2类交叉口在平峰与高峰时段的车辆行驶速度特性,同时对比分析上述不同条件下闯黄灯及违规变道行为的发生数量。研究表明,绿灯倒计时信号在绿灯时间末期,会诱发一部分驾驶员加速行驶通过交叉口;绿灯倒计时信号在平峰时段对闯黄灯行为数量的影响较小,而对违规变道行为的数量有显著影响。     

反应气氛对绿色合成纳米铁的组分及其活性的影响

成本低廉和无二次污染的"绿色"合成纳米材料是发展原位纳米环境修复技术的前沿研究课题之一.本文以绿茶提取液为还原剂和稳定剂进行"绿色"合成纳米铁,探讨在不同的气氛下"绿色"合成的纳米铁颗粒的主要成分,以期为调控合成纳米铁系材料提供基础研究.首先,利用扫描电子显微镜(SEM)、X射线能谱(EDS)、X射线光电子能谱分析(XPS)和傅里叶变换红外光谱(FTIR)等表征手段对不同反应气氛下合成的纳米铁颗粒的表面微观形貌、尺寸和价态结构进行分析.结果发现,在通入N2情况下,合成的纳米铁颗粒粒径为(84.7±11.5)nm,其主要成分以纳米零价铁为主;在通入空气情况下,合成的纳米铁粒径为(117.8±26.2)nm,其主要成分是纳米零价铁、氧化铁和四氧化三铁的混合物;通入O2时,合成的纳米铁粒径为(141.2±26.3)nm,其主要成分以四氧化三铁为主.其次,评价在不同气氛条件下合成纳米铁颗粒对去除亚甲基蓝(MB)的反应活性.结果表明,在反应温度313 K下降解初始浓度为50 mg·L-1的MB溶液,反应5 min时已达到平衡,通入N2合成的纳米铁降解MB,去除率高达98.7%,而通入O2合成的纳米铁反应效率低,对MB的去除率仅为65.3%.最后,从以上发现提出不同气氛下可以调控"绿色"合成的铁系纳米材料成分,从而导致不同的纳米修复环境中污染物的能力.