O_3-BAC组合工艺深度净化MBR出水的中试研究

采用臭氧-生物活性炭（O3-BAC）组合工艺对某工业园区再生水厂MBR出水进行了深度净化的中试研究,主要考察了组合工艺各节点对常规指标的处理效果。结果表明,臭氧投加量约3 mg/L（H2O）、臭氧接触塔接触时间为30min、活性炭滤池空床接触时间（BECT）为15 min时,O3-BAC组合工艺能有效去除水中色度、浊度,平均色度和浊度分别从21度和7.8 NTU降至3度和2.0 NTU以下;组合工艺对UV254、高锰酸盐指数的平均去除率分别约为39%和35%;对NH4＋-N有一定的去除,去除率为58%～77%;组合工艺对粪大肠菌群去除效果显著,平均去除率在95%以上。O3-BAC组合工艺是一种有效工业园区再生水深度净化技术。     

基于GIS的景观生态功能指标分析

针对当前我国规划及战略环评指标体系中缺乏直接反映生态功能指标的问题，提出可通过系统研究区域景观生态结构与景观功能变化间的关系，由斑块面积指数计算生物生产力、由景观香农多样性指数和景观香农均匀度指数反映生态质量，以此表征景观生态功能。以地理信息系统（GIS）为平台，提出了利用基于斑块面积而得到的景观要素转移矩阵及基于年鉴统计而得到的景观单位面积生物生产力的转移矩阵来计算生物生产力的方法，并在统计若干研究流域景观格局异质性指数文献的基础上发掘了景观多样性指数、景观均匀度指数与生态质量间的关系。最后，以江苏省沿江地区2000、2004年的数据开展了实例分析，结果表明，提出的生物生产力和生态质量这两个指标确实能反映区域景观功能的变化，在今后的规划和战略环评中具有一定的应用前景.     

Environmental Exposure of Aquatic and Terrestrial Biota to Triclosan and Triclocarban1

Abstract: The synthetic biocides triclosan (5‐chloro‐2‐(2,4‐dichlorophenoxy)phenol) and triclocarban (3,4,4′‐trichlorocarbanilide) are routinely added to a wide array of antimicrobial personal care products and consumer articles. Both compounds can persist in the environment and exhibit toxicity toward a number of biological receptors. Recent reports of toxicological effects in wildlife, human cell cultures, and laboratory animals have heightened the interest in the occurrence of these biocide and related toxic effects. The present study aimed to summarize published environmental concentrations of biocides and contrast them with toxicity threshold values of susceptible organisms. Environmental occurrences and toxicity threshold values span more than six orders of magnitude in concentration. The highest biocide levels, measured in the mid parts‐per‐million range, were determined to occur in aquatic sediments and in municipal biosolids destined for land application. Crustacea and algae were identified as the most sensitive species, susceptible to adverse effects from biocide exposures in the parts‐per‐trillion range. An overlap of environmental concentrations and toxicity threshold values was noted for these more sensitive organisms, suggesting potential adverse ecological effects in aquatic environments. Affirmative evidence for this is lacking, however, since studies examining environmental occurrences of biocides vis‐à‐vis the health and diversity of aquatic species have not yet been conducted.     

基于生态安全的DAT-IAT城市污水处理工艺改进研究

通过正交试验，得到了DAT-IAT工艺和A/DAT-IAT工艺处理城市污水的常规指标去除和生态毒理指标削减的最优运行条件。结果表明，在正交试验的同一工艺中，COD去除最优运行条件的出水COD值优于生态毒性削减最优运行条件的出水COD值，但前者出水的生态毒性较大。由于厌氧池的水解酸化作用，A/DAT-IAT工艺对COD和生态毒性的处理效果均优于DAT-IAT工艺，并且回流总能耗低于DAT-IAT工艺，但是出水COD仍不达标。为了降低进入工艺的COD的总量，以絮凝沉淀做为预处理工艺，并采用Al残留量最小的絮凝剂投药量以降低出水中残留Al带来的生态风险。结果表明，在COD去除最优运行条件下，具有絮凝预处理的工艺对COD的去除效果优于没有絮凝预处理的工艺。絮凝-A/DAT-IAT工艺在COD去除最优运行条件下出水COD为104.46 mg/L，满足排放标准。在毒性削减最优运行条件下，具有絮凝预处理的工艺的出水生态毒性有所上升，但是污染物的总量得到了大幅削减。絮凝-A/DAT-IAT工艺与DAT-IAT工艺相比，在污染物去除效率得到大幅增加的同时，生态毒性得到有效控制，生态安全得到了有效的保障。     

区域水资源可持续利用评价指标体系构建

基于区域水资源可持续利用评价指标体系（Indicators System for Sustainability AssessmentofWater Resources Use, ISSAWRU）构建的一般方法与步骤,论文围绕初始、优化和评价检验三个过程构建ISSAWRU;针对ISSAWRU构建中的指标信息重复和干扰问题,提出相关分析与粗糙集Horafa 属性约简算法相结合的方法实现指标体系的优化,并采用灰色系统理论与粗糙集耦合的评价方法对优化结果进行评价检验。以福建省为例,9 个设区市为研究单元,依据可持续发展理论,从水资源条件、开发利用状况、生态环境和社会经济四个方面,构建由30 项指标组成的初始ISSAWRU,通过筛选得到由12 项指标构成的优化ISSAWRU,进而对这两套指标体系进行评价。结果分析表明：相关分析与粗糙集Horafa 属性约简算法相结合的指标信息优化方案是可靠的;筛除重复和干扰指标信息,简化了繁杂的指标体系,降低了后续评价的计算复杂度,并且信息筛选后的优化ISSAWRU比初始ISSAWRU评价结果更合理。     

Ecosystem network analysis indicators are generally robust to parameter uncertainty in a phosphorus model of Lake Sidney Lanier, USA

Understanding how data uncertainty influences ecosystem analysis is critical as we move toward ecosystem-based management. Here, we investigate how 18 Ecological Network Analysis (ENA) indicators that characterize ecosystem growth, development, and condition are affected by uncertainty in an ecosystem model of Lake Sidney Lanier (USA). We applied ENA to 122 plausible parameterizations of the ecosystem developed by Borrett and Osidele (2007, Ecological Modelling 200, 371-387), and then used the coefficient of variation (CV) to compare system indicator variability. We considered Total System Throughput (TST) as a measure of the underlying model uncertainty and tested three hypotheses. First, we hypothesized that non-ratio indicators whose calculation includes the TST would be at least as variable as TST if not more variable. Second, we postulated that indicators calculated as ratios, with TST in the numerator and denominator would tend to be less variable than TST because its influence will cancel. Last, we expected the Average Mutual Information (AMI) to be less variable than TST because it is a bounded function. Our work shows that the 18 indicators grouped into four categories. The first group has significantly larger CVs than the CV for TST. In this group, model uncertainty is amplified rendering these three indicators less useful. The second group of four indicators shows no significant difference in variability with respect to TST. Finally, there are two groups whose CV values are significantly lower than that for TST. The least variable group includes the ratio-based indicators and Average Mutual Information. Due to their low variability, we conclude that these indicators are the most robust to the parameter uncertainty and most useful for ecosystem assessment and comparative ecosystem analysis. In summary, this work suggests that we can be as certain, or more certain, in most of the selected ENA indicators as we are in the parameters of the model analyzed.     

A strategy for the next decade to address data deficiency in neglected biodiversity

Measuring progress toward international biodiversity targets requires robust information on the conservation status of species, which the International Union for Conservation of Nature (IUCN) Red List of Threatened Species provides. However, data and capacity are lacking for most hyperdiverse groups, such as invertebrates, plants, and fungi, particularly in megadiverse or high-endemism regions. Conservation policies and biodiversity strategies aimed at halting biodiversity loss by 2020 need to be adapted to tackle these information shortfalls after 2020. We devised an 8-point strategy to close existing data gaps by reviving explorative field research on the distribution, abundance, and ecology of species; linking taxonomic research more closely with conservation; improving global biodiversity databases by making the submission of spatially explicit data mandatory for scientific publications; developing a global spatial database on threats to biodiversity to facilitate IUCN Red List assessments; automating preassessments by integrating distribution data and spatial threat data; building capacity in taxonomy, ecology, and biodiversity monitoring in countries with high species richness or endemism; creating species monitoring programs for lesser-known taxa; and developing sufficient funding mechanisms to reduce reliance on voluntary efforts. Implementing these strategies in the post-2020 biodiversity framework will help to overcome the lack of capacity and data regarding the conservation status of biodiversity. This will require a collaborative effort among scientists, policy makers, and conservation practitioners.     

A guide for assessing control room operator performance using speed and accuracy,perceived workload,situation awareness,and eye tracking

In the petrochemical industry, control room operators must address safety-critical alarms and other tasks using complex interfaces. This study developed a guide for assessing human performance using standard human factors measurement tools, and tested the sensitivity of those tools with two interface designs (i.e., gray and black) at three levels of workload (i.e., easy, medium, and difficult). The guide measures human performance through speed and accuracy, perceived workload using two standard instruments (i.e., NASA Task Load Index (NASA-TLX) and Subjective Workload Assessment Technique (SWAT)), situation awareness through the Situation Awareness Global Assessment Technique (SAGAT), and gaze through eye tracking coordinates. Twelve engineering student participants completed one simulation session at each of the three workload levels using one of two interface designs. Workload was manipulated through the number of simulated events (failures) in each session. Overall, the speed and accuracy measures, workload ratings, and eye tracking showed sensitivity to differences in workload level, and situation awareness showed sensitivity to the interaction between workload level and interface type. None of the tools were sensitive to interface type alone. Accuracy was highest under easy workload. Time per failure decreased at higher workload levels. Perceived workload ratings from the SWAT increased as workload increased, but workload ratings from the NASA-TLX were not different across workload levels. When workload increased, situation awareness remained steady for the gray interface but decreased sharply for the black interface, illustrating an interaction effect. Finally, the percentage of time spent looking at different areas of the screen during steady-state periods differed among workload levels. The tools in this guide can be used in the petrochemical industry to make design decisions for control room interfaces when workload levels are a concern.     

Performance evaluation of integrated resilience engineering factors by data envelopment analysis: The case of a petrochemical plant

Petrochemical units are potentially prone to incidents that have catastrophic consequences such as explosion, leakage of toxic materials, and the stoppage of the production process. Resilience engineering (RE) is a new method that can control incidents and limit their consequences. It includes top-level commitment, reporting culture, learning, awareness, preparedness, and flexibility. However, this study introduces a new concept of RE (referred to as integrated RE or IRE) which includes the above factors in addition to self-organization, teamwork, redundancy and fault-tolerant. This study evaluates performance of IRE in a petrochemical plant through considering the obtained data from questionnaires and data envelopment analysis (DEA) approach. Moreover, the performance of RE and the new IRE are compared and discussed. The results show that although there is a strong direct correlation between the DEA results in two frameworks, the mean scores of efficiency in IRE is slightly higher than RE. This is the first study that introduces an integrated approach for RE. In addition, this study is amongst the first ones that examine the behavior of resilience engineering by DEA. Moreover, the superiority of IRE is shown through robust statistical analysis.     

Safety,reliability and worker satisfaction during organizational change

The research presented in this paper was carried out in four process industry plants in the Netherlands, to identify factors that have the potential to increase safety and reliability while maintaining or improving job satisfaction. The data used were gathered as part of broader trajectories in these firms, aiming at the simultaneous improvement of productivity and safety, while maintaining or improving worker satisfaction. The results show that participative leadership is crucial for combining an increase in safety and reliability with job satisfaction. Participative leadership has a positive effect on job satisfaction and through proper maintenance also on the prevention and absence of disturbances and on the reliability of the production process. The results of this research show the importance of participative leadership for safety, reliability and worker satisfaction, especially during organizational change. Other important factors are operator competences, teamwork, proper handling of variance and disturbances, and proper maintenance. It also confirms that apart from technological factors associated with proper maintenance, people and team related factors are important for increasing safety and reliability in the process industry, especially for being prepared for disturbances and to be able to cope adequately with them.