Evaluating the process of triple bottom line reporting: Increasing the potential for change1

Abstract

This paper presents an evaluation framework that aims to improve the outcomes of triple bottom line (TBL) reporting. Currently, most assessments of TBL reporting focus on report content. Our view is that effective evaluation of TBL reporting should go beyond reports as the outputs of a process and focus on what is being learned through the process, the capacity- and relationship-building that might eventuate, and how this impacts on the development of sustainability. To enable more effective reflection of TBL reporting processes, we developed a set of evaluation criteria focused on the process of reporting. These criteria were identified from case studies of social, environmental and/or sustainability reporting processes documented in the literature. A large number of potential criteria were synthesised into three desired outcomes of TBL reporting and 10 prompts for discussion and reflection during evaluation. This evaluation framework should assist those dedicated to challenging assumptions that inhibit progress towards a sustainable future for society.     

Large-scale turbulent structure of uniform shallow free-surface flows

The hydrodynamics of super- and sub-critical shallow uniform free-surface flows are assessed using laboratory experiments aimed at identifying and quantifying flow structure at scales larger than the flow depth. In particular, we provide information on probability distributions of horizontal velocity components, their correlation functions, velocity spectra, and structure functions for the near-water-surface flow region. The data suggest that for the high Froude number flows the structure of the near-surface layer resembles that of two-dimensional turbulence with an inverse energy cascade. In contrast, although large-scale velocity fluctuations were also present in low Froude number flow its behaviour was different, with a direct energy cascade. Based on our results and some published data we suggest a physical explanation for the observed behaviours. The experiments support Jirka’s [Jirka GH (2001) J Hydraul Res 39(6):567–573] hypothesis that secondary instabilities of the base flow may generate large-scale two-dimensional eddies, even in the absence of transverse gradients in the time-averaged flow properties.     

The Importance of Maintenance for Lime Flue Gas Desulfurization Systems

The successful, reliable operation of a power plant flue gas desulfurization (FGD) system depends largely on a good program of maintenance. Identifying the FGD equipment that is most critical to an FGD system’s overall reliability or its ability to meet emission regulations plays an important role in determining the extent of a maintenance program for a particular site. FGD maintenance programs vary considerably, depending on site-specific requirements and the support of plant owners. Many owners are reluctant to spend money on FGD maintenance because an FGD system is a nonproductive part of a power plant; however, a good maintenance program can result in longer equipment life, improved equipment performance, increased system availability, better safety, and lower operating costs. This paper uses wet and dry lime FGD systems to illustrate the advantages of good maintenance and the consequences of poor maintenance. Examples of specific tasks for preventive, scheduled, planned, and emergency maintenance are described. Also, because of the importance of FGD maintenance personnel, a section on organization and training is included.     

天目湖沙河水库热分层变化及其对水质的影响

为揭示亚热带水库热分层的季节性变化特征、影响因素及水质效应,以最大水深11 m的江苏溧阳天目湖沙河水库为例,基于对水库坝前区(TM1)3~11月逐时的水温监测及对该水库2009~2016年相关水质和气象指标监测,分析了该水库热分层的形成和消失时间、驱动因素及其对水质的影响.结果表明,天目湖沙河水库呈典型的亚热带单循环混合模式:春季随着太阳辐射的增强,水温逐渐升高,当表层水温升至21℃左右时,热分层稳定形成,在整个5~9月期间水体热分层十分稳定;秋季随着太阳辐射的减弱,水温逐渐降低,当表层水温降至19℃左右时,热分层基本消失,在10~4月期间水体呈混合状态.热分层期间,表层和底层的水温差随太阳辐射的增强而增加;日均气温超过30℃的情况下,水体热分层更加稳定;夏季强降雨过程降低了水体表层的温度、减弱了上层5 m水体的温度分层,但对5 m以下深度的热分层状况基本无影响.水温分层对水库水质产生一定的影响:热分层期间,底层水体处于厌氧状态,底层水体氨氮浓度明显增加;热分层消失后,底层水体溶解氧、总磷及悬浮颗粒物含量均增加.研究表明,对于四季分明的亚热带中等深度的水库而言,水体热分层主要受太阳辐射的控制,稳定的热分层有利于蓝藻门相关种属藻类的生长,热分层形成及消散阶段改变了沉积物的营养盐释放及供给水体的强度,对水体水质形成冲击.在水库水质监控及生态保护管理中,应关注热分层过程的不利影响,并探索相关灾害的防控技术.     

基于关联向量机回归的水质预测模型

提出了一种基于关联向量机回归的水质时间序列预测模型,并以该模型对氢离子浓度指数(p H值)、溶解氧(DO)、高锰酸盐指数(CODMn)和氨氮(NH3-N)4种重要水质指标进行预测.首先采用国家环保部发布的四川攀枝花龙洞水质自动监测数据进行实验,对该模型的有效性进行了验证;然后将关联向量机回归预测模型与支持向量机回归预测模型进行比较.为了比较不同核函数的预测效果,实验中预测模型的核函数分别采用了线性函数和高斯函数.实验结果表明,关联向量机回归模型的预测效果不亚于支持向量机回归模型;且在给出预测值时,还能同时给出预测结果的可信程度.