An analysis of university sustainability reports from the GRI database: an examination of influential variables

In the business context, many papers have examined whether certain variables can affect sustainability disclosure practices. However, research on universities has mainly been addressed to explore the extent of sustainability information reported with little focus on determining the factors that may affect it. This paper analyzes the influence exerted by some variables concerning the extent of information reported in the university sustainability reports included in this study. To accomplish this task, data were collected using a content analysis of the university sustainability reports extracted from the GRI sustainability disclosure database. The findings reveal that sustainability disclosure practices by universities are explained by different factors, among which are institutionalization, geographical region, external assurance and leadership. Such results are supported jointly by the underpinnings of the institutional and legitimacy theories in response to coercive and mimetic pressures and by the need to improve reputation in society.     

Worker-fatigue contributing to workplace incidents in New Zealand Forestry

ProblemReports of incidents in dangerous work environments can be analysed to identify common hazards, in turn aiding in the prevention of future accidents. Whilst studies exist that do this, most focus on causes that involve physical risks. In this paper we propose an alternative approach, and illustrate causes of forestry incidents from the perspective of worker-failure and fatigue. Method This paper outlines the analysis of eight years’ worth of New Zealand forestry incident data, with a focus on the cause of, and time that, incidents occur. Results This has resulted in two main findings. First, 70% of incidents can be attributed, at least in part, to worker-failures. Second, 78% of worker-failure based causes show indications of fatigue. This indicates that a significant number of forestry incidents are caused by worker-fatigue. Finally, this dataset showed inconsistencies in data quality, similar to those that exist in other datasets. This did not affect our analysis. However, these types of errors have the potential to affect the data quality in the national reporting system. Impact on industry The results from this study will be used in a larger project on detecting fatigue in forestry workers for injury and incident prevention. It is also our hope that other researchers may find these results of interest for further fatigue prevention research in hazardous industries.     

MODIS气溶胶光学厚度对城市空气质量的指示

空气污染指数API(Air Pollution Index)是关系大众生产生活的一个重要指标,论证了一种由MODIS(中分辨率成像光谱仪)反演的气溶胶光学厚度产品AOT(Aerosol Optics Thickness)预报空气质量的方法,即依据API的分级标准,将API用特定的步长分组,再把各组的AOT和API均值建立相关模型,并用该模型来预测空气质量指数,经验证,预测值和实际值之间的精度为77.59%,基本达到业务运行的要求。     

The monitoring,Evaluation, reporting,verification, and certification of energy-efficiency projects

In this paper, we present an overview of guidelinesdeveloped for the monitoring, evaluation, reporting,verification, and certification (MERVC) ofenergy-efficiency projects for climate changemitigation. The monitoring and evaluation ofenergy-efficiency projects is needed to determine moreaccurately their impact on greenhouse gas (GHG)emissions and other attributes, and to ensure that theglobal climate is protected and that countryobligations are met. Reporting, verification andcertification will be needed for addressing therequirements of the Kyoto Protocol. While the cost ofmonitoring and evaluation of energy-efficiencyprojects is expected to be about 5–10% of a project'sbudget, the actual cost of monitoring and evaluationwill vary depending on many factors, including thelevel of precision required for measuring energy andGHG reductions, type of project, and amount of fundingavailable.     

上海市浦东环境空气质量预报模式及环境状况探讨

将浦东新区空气自动监测系统监测数据与上海市空气质量日报数据进行比对 ,考察两者之间的定量关系 ,以简便的方法建立浦东环境空气质量预报模式 ,了解空气污染物在上海市区与浦东区域的分布状况差异 ,探讨造成差异的原因。     

基于天地图API的地质灾害管理信息系统研究与应用

在通过天地图API获取基础地理信息并辅以地质灾害专题数据的基础上,研究了移动GIS、Web API、LBS等技术的融合运用,结合地质灾害业务管理流程,设计开发出一套地灾管理系统。根据应用环境不同系统分为移动终端和指挥管理平台两套子系统,移动终端主要实现灾点现场调巡查记录、业务分析、速报及数据上传,指挥管理后台主要实现数据分析、任务指派和信息管理等功能。应用实例中针对移动GIS端与Web端的数据管理和交互反馈作出评述,并就未来应用方向作出展望。     

上海市空气质量季节变化及高污染案例分析

通过对上海市近4～5年环境空气质量监测数据的分析,探讨了上海市空气质量季节变化规律。对三次典型的高污染案例进行了分析,并从改善空气质量和加强人体保护方面提出了对策建议。     

API法在城市大气环境质量评价中的应用

采用空气污染指数API法对绵阳市2008年大气环境质量进行评价。结果表明,该市空气质量达到了国家二级标准,影响空气质量的主要污染物为可吸入颗粒物（PM10）,主要污染时间为1、2、3、5、12月,影响因素为气象和人为活动。建议采取优化产业结构、改造锅炉和燃烧设备、大力发展和推广使用清洁能源、加快城市绿化建设等污染防治对策。API法与其他评价方法相比,可以准确地揭示大气污染程度,是一种简便、直观且可靠的评价方法。     

铁岭市空气日报及预报的相关性研究

本文采用了空气污染指数进行评价空气质量,确定铁岭市空气质量日报、预报。根据空气污染指数值确定空气质量污染程度,最后采用数据统计方法对日报、预报的结果进行检验,检查两个样本均值之间是否有显著性差异。     

基于API 581的燃烧与爆炸后果分析方法研究

为了研究基于风险的检验（RBI）中燃烧、爆炸后果分析方法在实际应用中的效果,以API 581为基础,介绍了Level 1分析法、Level 2分析法及分析流程;然后,以油气分离器为例,根据API 581推荐的Level 1分析法编写VB程序,计算后果面积,采用PHAST软件计算Level 2分析法的后果面积;对比分析两种方法的计算结果,以及二者计算准确性的主要影响因素。研究结果表明:Level 1法比Level 2法简单,但其计算准确性较低;后果面积计算准确性的主要影响因素包括潜在泄漏质量、能量调整系数和液相后果计算面积公式选用等;应用时应兼顾两种方法的计算精度和经济效益,并选取合适的分析方法。