玉米深加工废水的混凝实验

在室温条件下,分别选用聚合氯化铝(PAC)、聚合氯化铝铁(PAFC)及三氯化铁(FeCl3)对玉米深加工废水进行混凝实验。综合考虑各种混凝剂对磷、COD以及SS的去除效果,最终选取PAC作为混凝剂。采用PAC和聚丙烯酰胺(PAM)作为复合混凝剂,对其去除效果做进一步研究,并确定了最佳投加量及pH值。实验结果表明,在PAC投加量25mg/L,PAM投加量0.5 mg/L,pH为8条件下,混凝效果最佳。磷、COD、SS去除率可分别达到90.1%、53.3%和88.2%,对应的出水质量浓度分别为0.41、26.8和2 mg/L。     

豆制品加工废水处理工程设计分析

豆制品加工废水有机物和悬浮物浓度较高,水量及水质波动大,且容易发酸发臭。浙江某豆制品生产企业采用化学沉淀+SBR生化工艺对废水进行处理,出水水质达到《污水综合排放标准》GB8978-1996三级标准。该工艺操作简便,运行稳定,处理效率高,适合中小规模豆制品企业废水的处理。     

城市安全生产风险评估调研和信息处理方法研究

为城市安全生产风险评估调研工作的合理有序开展,本文结合实际案例归纳了城市安全生产风险评估调研的目的、范围、内容和流程,具体介绍了走访座谈法、常专结合法、函件调研法等信息采集方法,总结了综合归纳法和逻辑处理法等信息处理方法。结果表明,在调研的不同阶段运用不同的调研方法可有效获取城市安全生产风险源信息及安全生产基本信息,为城市安全生产风险评估工作奠定坚实的信息数据资料支撑。     

浅谈福建武夷山大气背景监测站的运行维护

大气背景监测站多位于高山且相对清洁地区,在运行维护方面和城市点位有很大不同,低量程仪器和其他自动监测仪器在运行维护上也有所不同。国家大气背景监测福建武夷山站是国内14个大气背景监测站之一,该站于2011年3月4日运行,文章总结该站运行以来的维护经验,从运行条件、日常维护、简单故障判断、数据处理等几个方面详细叙述,给出维护经验和注意事项,以期为其他类似背景站的运行维护提供参考。     

Microwave-assisted continuous flow phytosynthesis of silver nanoparticle/reduced graphene oxide composites and related visible light catalytic performance

The creation of an environmentally friendly synthesis method for silver nanomaterials (AgNPs) is an urgent concern for sustainable nanotechnology development. In the present study, a novel straightforward and green method for the preparation of silver nanoparticle/reduced graphene oxide (AgNP/rGO) composites was successfully developed through the combination of phytosynthesis, continuous flow synthesis and microwave-assistance. Oriental persimmon (Diospyros kaki Thunb.) extracts were used as both plant reducing and capping agents for fast online synthesis of AgNP/rGO composites. The experimental parameters were optimized and the morphologies of the prepared materials were investigated. The characterization results reveal that spherical AgNPs were quickly synthesized and uniformly dispersed on rGO sheets using the proposed online system. Fourier transform infrared spectroscopy analysis confirmed that phenols, flavonoids, and other substances in the plant extracts played a decisive role in the synthesis of AgNP/rGO composites. Using sodium borohydride (NaBH₄) degradation of p-nitrophenol (4-NP) as a model, the catalytic activity of the prepared AgNP/rGO materials was evaluated. The complete degradation of 4-NP was achieved within 12 min through the use of AgNP/rGO materials, and the composite had a much better catalytic activity than the bare AgNPs and rGO had. Compared with the conventional chemical method, our online method is facile, fast, cost-efficient, and environmentally friendly.     

Challenges to liberalism: The case of Australian energy policy

This paper considers liberal and nationalist economic policy approaches to the ownership and development of Australian energy resources (oil, gas, coal and uranium). In the two decades prior to 1983, Australia pursued economic policies in relation to its energy resources which could broadly be described as ‘nationalist’. Governments of the day intervened in development decisions in an effort to enhance the ‘national interest’. From 1983, along with the deregulation of the Australian economy as a whole, policy relating to energy resources was liberalised. Development of energy reserves henceforth occurred according to the dictates of the market. This paper argues that recent Australian energy policy initiatives reflect an increase in nationalist influences and a retreat from the liberalisation agenda that dominated energy policy making in the 1980s and 1990s. Three examples are discussed where policy has been influenced by a nationalist framework: (1) the domestic gas reservation policy in Western Australia; (2) Australian government efforts to promote a ‘value adding’ nuclear processing industry and (3) Australian Labor Party policy giving preferential financial incentives for gas to liquids projects. The re-emergence of nationalism in Australia is occurring either because policy makers now favour it as a path to energy security or in some cases because they believe that appeals to nationalism will generate political support.     

Short-term Model of the Production of Construction Aggregates in Taiwan Based on Artificial Neural Networks

BACKGROUND: Taiwan's geography and limited stock of sandstone have caused sandstone resources to gradually decline to the point of exhaustion after long-term excavation. Moreover, the Taiwanese government has continuously increased the amount of land area near rivers that cannot be excavated to facilitate riverbed remediation and promote conservation of water resources. Accordingly, predicting and managing the annual production of construction aggregates in future construction projects, and dealing appropriately with some thorny problems, for instance, demand that excess supply, excessive excavation, unregulated excavation, and the consequent environmental damage, will significantly affect the efficient use of natural resources in a manner that accords with the national policy of Sustainable Development (SD). METHODS:. This study establishes an empirical model for forecasting the annual production of future construction aggregates using Artificial Neural Networks (ANN), based on 15 relevant socio-economic indicators, such as indicator of annual consumption of cement. A sensitivity analysis is then performed on these indicators. RESULTS AND DISCUSSION: This work applies ANN to estimate the annual production of construction aggregates; the estimates, the verification of the model and the sensitivity analysis are all acceptable. Furthermore, sensitivity analysis results indicate that the annual consumption of cement is the indicator that most strongly influences the production of construction aggregates, as well as whether construction waste can be recycled and steel structures can be used in buildings, helping to reduce the future production of construction aggregates in Taiwan. CONCLUSIONS: The elaborate prediction methodology presented in this study avoids some of the weaknesses or limitations of conventional linear statistics, linear programming or system dynamics. Additionally, the results not only provide a short-term prediction of the production of construction aggregates in Taiwan, but also provide a viable and flexible means of verifying quality certification of the production data of construction aggregates in the future by incorporating those relevant socio-economic indicators. RECOMMENDATIONS AND OUTLOOK: The continuity and quality of the database of relevant indicators used in this study should be closely scrutinized in order to ensure the SD means of exploiting resources.     

模糊信息优化处理方法在陕西泾阳南塬塬边斜坡稳定性区划中的应用

结合野外调查,应用模糊信息优化处理方法对泾阳南塬塬边斜坡各评价单元进行了评价,最后根据评价结果将塬边斜坡进行了稳定性区划.     

蜡染废水在线处理回用及热能回收工程实例

采用絮凝沉淀-ClO2脱色-砂滤-微波无极紫外光催化氧化工艺对青岛凤凰印染有限公司蜡染印花水洗废水进行处理,详细论述了该工艺的运行特点、处理及回用效果。结果表明,在进水COD及色度波动很大的情况下,处理后废水水质长期稳定达到COD100 mg/L,色度10倍,其他各项水质指标均可满足蜡染水洗工序的生产回用要求,并回收了水中的热能。废水回用率达80%,日节水200 t,节约热能折合成标准煤约为1 t,为印染行业完成节能20%,减排20%的总体目标提供了新的思路。     

驾驶行为模型的研究进展

驾驶员行为模型的研究对于预测和干预驾驶员的风险行为、设计相关的道路安全设施与车内设备,以及制定交通法律法规等具有重要的意义。为了解和掌握学术界关于驾驶行为模型的研究进展,搜集、筛选和归纳了1960—2010年被SCI数据库索引的相关文章,将驾驶行为模型分类为描述性模型、信息处理模型、动机模型、计划行为理论(TPB)和躯体标识假设,并对每种模型进行评述和总结,理清这些模型间的内在联系。研究发现,现有各模型只是从某个角度研究驾驶员行为的部分特征,而不能解释驾驶员的全部行为。今后应不断完善和整合各类模型,并借鉴心理学、生理学和行为科学等相关领域的理论、知识,使驾驶行为模型变得更为实用、有效。