基于水资源再利用的自动蓄水循环系统

提出一种居民家庭自动蓄水循环系统和二次循环水利用及新型概念房的构想。通过错过夏天用水高峰时段,合理利用夜晚水压进行水箱日常用水的自动补给。中水回用和雨水收集使得在概念房的有限面积内达到最大的水循环利用效率。     

废旧聚乙烯复合材料的制备与性能研究

介绍了废旧聚乙烯复合材料的制备与性能。以废旧聚乙烯为原材料,通过与超细白炭黑进行纳米复合,制备高性能纳米复合材料;利用木粉、竹粉、稻糠等植物纤维与其进行木塑复合,制备环保型木塑复合材料;重点研究了多单体接枝共聚物在复合材料中的界面改性作用。     

建设有中国特色的再生资源回收利用体系

分析了我国再生资源回收利用工作的现状,借鉴发达国家的先进经验,提出建设我国再生资源回收利用体系的基本框架,以及发展我国再生资源产业的政策建议。指出建设具有中国特色的再生资源回收利用体系是推动再生资源产业成为新的经济增长点的前提和保障。     

充满生机、前景广阔的再生资源产业

近年来,再生资源产业发展迅速,显示了其广阔的发展前景。以汨罗市再生资源产业发展为例,探讨再生资源产业广阔的发展前景。     

不饱和聚酯树脂高浓度废水共沸精馏资源化与治理技术

针对不饱和聚酯树脂生产高浓度废水的特点,采用新型共沸精馏技术进行资源化预处理。实验结果表明,共沸精馏几乎将废水中的原料、聚合中间体等有机物全部浓缩于釜液中,釜底浓缩液COD可高达120万mg／L左右,有机物回收率达93％～96％。将COD约120万nq-g／L的釜液以20％比例投入不饱和聚酯树脂合成反应中,制得了一种新型高性能树脂,且树脂的得率由常规生产的93．4％提高至99．77％。对与共沸剂分离后的COD约为1万mg／L的馏出液采用新型多技术协同催化氧化技术进行预处理,使废水B／C由0．021提高至0．3以上;再采用EGSB＋MBBR生化处理和活性炭吸附深度处理,出水可稳定达标排放,并能满足循环冷却水要求。     

Penetration analysis of elements and bioleaching treatment of spent refractory for recycling

Acidithiobacillus ferrooxidans ATCC23270 and Acidithiobacillus thiooxidans TM-32 were used for bioleaching of spent refractories of aluminium and copper melting furnaces for their recycling.Firstly,penetration of elements into aluminium melting furnace refractory was investigated and it was found that up to 7 cm from surface was contaminated.Comparison on leaching efficiency by the strains ATCC23270 and TM-32 found that the strain ATCC23270 could treat larger amount of the refractories than the strain TM-32 could do.In the experiment of bioleaching of spent refractory aluminium melting furnace by the strain ATCC23270,high leaching efficiency were obtained on Al,Si,and Ca,and extremely low leaching performance was,however,shown on the rest of elements i.e.,Na,Mn,and Zn.Under the strain TM-32 use,relatively high leaching performance was recognized on Al,Si,Ca,Na,Mn,and Zn.In the experiment of bioleaching for spent refractory copper melting furnace,almost the same leaching trends were shown on Cu,Zn,Al,and Si under the strains ACTT23270 and TM-32 uses.     

废水资源化的问题与出路

从可持续发展的观点出发 ,废水经适当处理可作为资源加以利用 ,废水资源化对缓解水危机和实现水资源的可持续利用有很重要的意义。基于此 ,本文总结了国内外废水资源化的现状 ,结合实例分析了废水资源化中存在的问题 ,并提出了相应的解决措施     

A methodology to model causal relationships on offshore safety assessment focusing on human and organizational factors

INTRODUCTION: Focusing on people and organizations, this paper aims to contribute to offshore safety assessment by proposing a methodology to model causal relationships. METHOD: The methodology is proposed in a general sense that it will be capable of accommodating modeling of multiple risk factors considered in offshore operations and will have the ability to deal with different types of data that may come from different resources. Reason's "Swiss cheese" model is used to form a generic offshore safety assessment framework, and Bayesian Network (BN) is tailored to fit into the framework to construct a causal relationship model. The proposed framework uses a five-level-structure model to address latent failures within the causal sequence of events. The five levels include Root causes level, Trigger events level, Incidents level, Accidents level, and Consequences level. To analyze and model a specified offshore installation safety, a BN model was established following the guideline of the proposed five-level framework. A range of events was specified, and the related prior and conditional probabilities regarding the BN model were assigned based on the inherent characteristics of each event. RESULTS: This paper shows that Reason's "Swiss cheese" model and BN can be jointly used in offshore safety assessment. On the one hand, the five-level conceptual model is enhanced by BNs that are capable of providing graphical demonstration of inter-relationships as well as calculating numerical values of occurrence likelihood for each failure event. Bayesian inference mechanism also makes it possible to monitor how a safety situation changes when information flow travel forwards and backwards within the networks. On the other hand, BN modeling relies heavily on experts' personal experiences and is therefore highly domain specific. IMPACT ON INDUSTRY: "Swiss cheese" model is such a theoretic framework that it is based on solid behavioral theory and therefore can be used to provide industry with a roadmap for BN modeling and implications. A case study of the collision risk between a Floating Production, Storage and Offloading (FPSO) unit and authorized vessels caused by human and organizational factors (HOFs) during operations is used to illustrate an industrial application of the proposed methodology.     

Evaluation method of automobile recycling systems for Asia considering international material cycles: application to Japan and Thailand

To examine an appropriate recycling system for end-of-life vehicles (ELVs) from Japan in the context of Asia, an Asian international automobile recycling input-output (AI-ARIO) analysis is presented. The AI-ARIO analysis spatially expands the existing ARIO analysis within the framework of the waste input-output (WIO) analysis developed by Nakamura et al., which considers the interdependence between the flow of goods and wastes in a country. This analysis focuses on the local and global cycles for ELVs in Asia and can evaluate the environmental and economic effects of alternative recycling systems. We estimated the AI-ARIO table for Japan and Thailand and applied it to scenario analyses covering the restriction of ELV trade between the two countries, the introduction of new recycling techniques in Thailand, and centralized treatment in Japan. We verified the applicability and effectiveness of the AI-ARIO analysis through the scenario analyses.     

Integration of Wireless Sensor Networks into Cyberinfrastructure for Monitoring Hawaiian “Mountain-to-Sea” Environments

Monitoring the complex environmental relationships and feedbacks of ecosystems on catchment (or mountain)-to-sea scales is essential for social systems to effectively deal with the escalating impacts of expanding human populations globally on watersheds. However, synthesis of emerging technologies into a robust observing platform for the monitoring of coupled human-natural environments on extended spatial scales has been slow to develop. For this purpose, the authors produced a new cyberinfrastructure for environmental monitoring which successfully merged the use of wireless sensor technologies, grid computing with three-dimensional (3D) geospatial data visualization/exploration, and a secured internet portal user interface, into a working prototype for monitoring mountain-to-sea environments in the high Hawaiian Islands. A use-case example is described in which native Hawaiian residents of Waipa Valley (Kauai) utilized the technology to monitor the effects of regional weather variation on surface water quality/quantity response, to better understand their local hydrologic cycle, monitor agricultural water use, and mitigate the effects of lowland flooding.