含风电的电力系统低碳经济调度

含风电场的电力系统调度是一个多目标优化问题。运用机会约束方法,建立了包括低碳化和发电成本两个目标函数的调度模型,在充分考虑环境保护效益的同时,提出了风险成本的概念,使得发电成本更切合工程实际。在改进自适应遗传算法的基础上,引入了pareto最优解集方法,充分发挥了遗传算法的全局搜索能力和pareto求解多目标问题的潜力。通过实际调度案例验证了所提算法的合理性。     

尼罗红荧光染色法的优化及应用

以自主筛选的小球藻为材料对尼罗红荧光染色进行条件优化,并用该方法追踪微藻在污水中的油脂含量变化。实验发现,微藻只有经过超声波破碎,染色才会出现荧光,DMSO的添加会增强荧光反应。最终确定其染色条件为:DMSO与藻液体积比为1∶5,超声波破碎5 min后染色5 min,NR质量浓度1.5μg/m L。在其应用方面发现,微藻的油脂积累量只有培养基的一半,说明污水不利于微藻油脂的积累;最佳采收时期为平稳期,此时微藻的产量和油脂含量达到最高。     

基于OPMSE与BAT的啤酒行业排放限值仿真

以OPMSE仿真计算啤酒行业排放污水中COD,BOD,NH3-N质量浓度为研究对象,查询及调研清河流域典型啤酒行业产生污水中COD,BOD,NH3-N质量浓度范围,经BAT处理后通过OPMSE的仿真计算,得出排放污水中污染物质量浓度正态分布置信区间、最佳出水及最差出水质量浓度。结果表明:置信水平为99%时,COD,BOD,NH3-N的置信区间分别为(75.83,95.95),(19.30,25.88),(5.68,6.85);最佳出水质量浓度分别为4.14 mg/L,5.36 mg/L,2.71 mg/L;最差出水质量浓度分别为20.64 mg/L,20.70 mg/L,10.86mg/L。将仿真结果与现有排放标准对比,拟定啤酒行业的污染物直接排放限值为COD=100 mg/L,BOD=30mg/L,NH3-N=8 mg/L;间接排放限值为COD=400 mg/L,BOD=80 mg/L,NH3-N=25 mg/L。     

Design and cognitive evaluation of 6 dynamic lane departure warning symbols

Objective: Lane departure, caused by inattention, distraction, drowsiness, or any unusual driver behavior, is a typical risk threatening the driver as well as other road users. Accurate perception of such situations through effective warnings would help drivers to avoid serious consequences. With regard to critical functions of warning symbols for risk communication, the present study focused on providing effective and easily perceivable symbols, compatible with human cognitive capabilities. Thus, the main purpose of the present study was to design and cognitively appraise 6 newly designed dynamic symbols, candidates for a new type of lane departure warning system.

Methods: Simplicity, familiarity, concreteness, meaningfulness, and semantic closeness were the major assessment criteria, defining cognitive features by the earlier researchers in the field. A total number of 187 driving license applicants, with a mean age of 20.58 years (SD = 3.20), participated in the present survey. The participants rated cognitive features of the 6 dynamic symbols along a 0–100 scale.

Results: Significant main effect of the element factor type of the designed symbols on rating cognitive features revealed that the existence of car element was the best predictor for illustrating lane departure. The interaction of both element factor and location of element factor significantly affected the ratings. However, the location of element factor did not solely have any strong effect on the ratings. The results also demonstrated that semantic closeness received the highest overall mean score across symbols (M = 61.80), especially within the symbols that include the car element (M = 75.67). Moreover, a significant difference was observed between the average ratings of the cognitive features, despite the fact that a significant correlation was found between cognitive features.

Conclusion: The most considerable result of the current study was the match between the symbol with the highest ratings and the International Organization for Standardization (ISO)-related icon in appearance. Because previous studies demonstrated a strong correlation between comprehension scores of the symbol and both semantic closeness and meaningfulness, high-level comprehensibility of the best ranked symbol is expected.     

Assumptions beyond the science: encouraging cautious conclusions about functional magnetic resonance imaging research on organizational behavior

Functional magnetic resonance imaging (fMRI) is likely to become the major tool for studying the neural underpinnings of organizational behavior. It is a technique for brain imaging that, according to advocates, provides information about which areas of the brain are activated during organizational processes (e.g., leadership and decision‐making). In this article, we take a critical look at this tool from a technical perspective. In particular, we take the reader through the assumptions that must be made at the three main steps of the research process (study design, data capture, and interpretation of results) in order to draw conclusions about organizational phenomena from fMRI research. Applying this analysis to three case studies demonstrates the gap between what fMRI can actually tell us and the claims often made about the contribution of fMRI to understanding and improving organizational behavior. Our discussion provides researchers with a series of recommendations oriented toward optimizing the use of fMRI to help it live up to its potential in the field of organizational behavior and consumers with a means of evaluating fMRI research in order to draw appropriate and warranted conclusions. Copyright © 2016 John Wiley & Sons, Ltd.     

IWRM视角下污水治理体系问题系统诊断与对策研究——以浙江省为例

基于集成水资源管理理念框架,较系统地构建了污水治理体系问题诊断指标体系并明确了诊断标准.实证研究表明,浙江省污水治理体系仍存在政策不协调,投资结构不合理,体制横向不协调、纵向不到位、职责分散,民主参与决策与监督机制不健全,排污行为监测监管不到位,经济激励不够、行业自律不足等问题.建议浙江省应进一步协调区域发展政策,优化污水治理城乡投融资结构,完善机构设置,优化部门协调,加强政府监测监管等,以提高污水治理绩效.     

农村生活污水处理技术模式的层次分析研究

在当前农村环境的治理中,生活污水处理技术和模式一直是农村环保不断探索的问题.根据农村实际情况选择合适的处理技术显得尤为重要.通过实地调研,对农村生活污水产生现状、常见处理工艺进行了分析.根据当前实际应用情况,选定了四种典型农村生活污水技术模式,以及对模式选择有影响的六个主要因素,按照层次分析法进行了研究,以期为农村生活污水处理工艺的选择提供参考.分析结果表明首选方案为"A/O+人工湿地"处理技术,与目前农村生活污水实际状况相吻合.     

高校食堂清洁生产行动方案的研究

高校食堂是高校建设的重要环节之一,清洁生产能更加有效的管理高校食堂.文章以南京某高校食堂为例,通过问卷调查和实地考察的形式,分析高校食堂各个过程能耗比例和污染物产生的原因,并且对高校食堂电消耗、一次性消耗品和固体废物提出具体措施.结果显示:清洁生产每年平均节约电费1.25万元;减少一次性用品并且每年平均增加收益2 058元;平均减少剩饭剩菜14.83％.     

生物接触氧化+植物一体化装置处理小城镇污水试验研究

利用“生物接触氧化+植物”一体化装置处理城镇污水,试验最终选用悬浮多面球作填料,采用射流曝气,控制进水流量为0.45 m3/h,进水浓度为COD 63～467 mg/L、NH3-N 11.21～52.7 mg/L、TN 28.6 ～63.5mg/L和TP １.1～6.42 mg/L时,COD、NH3-N、TN和TP的去除率分别达到88％、86％、70％、60％以上,出水COD≤30 mg/L,NH3-N≤5 mg/L、TN≤13 mg/L、TP≤0.5 mg/L.水质优于《城镇污水处理厂污染物排放标准》(GB 18918-2002)一级A标准,具有较好的工程应用前景.     

济宁市生态文明建设的战略构想与对策

推进生态文明建设、建设美丽中国成为社会主旋律.文章从生态资源、生态空间、生态产业、转型发展等方面分析了济宁生态文明建设的优势,从战略顶层设计角度出发,研究提出了生态文明建设的总体要求、生态功能分区定位和实施步骤,针对近期济宁市生态文明建设存在的问题,从体制创新、制度体系、转型升级、考核监督、大气治理、水污染防治、城乡绿化等方面提出了具体的对策建议.