A nanofilter composed of carbon nanotube-silver composites for virus removal and antibacterial activity improvement

We have developed a new nanofilter using a carbon nanotube-silver composite material that is capable of efficiently removing waterborne viruses and bacteria.The nanofilter was subjected to plasma surface treatment to enhance its flow rate,which was improved by approximately 62%.Nanoscale pores were obtained by fabricating a carbon nanotube network and using nanoparticle fixation technology for the removal of viruses.The pore size of the nanofilter was approximately 38 nm and the measured flow rate ranged from 21.0 to 97.2 L/(min·m~2)under a pressure of 1–6 kgf/cm~2 when the amount of loaded carbon nanotube-silver composite was 1.0 mg/cm~2.The nanofilter was tested against Polio-,Noro-,and Coxsackie viruses using a sensitive real-time polymerase chain reaction assay to detect the presence of viral particles within the outflow.No trace of viruses was found to flow through the nanofilter with carbon nanotube-silver composite loaded above 0.8 mg/cm~2.Moreover,the surface of the filter has antibacterial properties to prevent bacterial clogging due to the presence of 20-nm silver nanoparticles,which were synthesized on the carbon nanotube surface.     

Experimental and numerical calculations of waste R-134a thermal decomposition for energy and fluorine material recovery

Considering the global warming potential of R-134a (C₂H₂F₄) with the substantial generation of this refrigerant as waste material in various industrial sectors, the development of proper thermal destruction method of R-134a is of great practical significance. For this, experiment and numerical calculations have initially made for a tubular-type furnace in order to figure out the basic combustion characteristics of R-134a. A series of experimental investigations for the thermal decomposition of R-134a have been made as a function of wall temperature of tubular furnace and important reacting species such as O₂ and H₂O necessary for the decomposition of C₂H₂F₄ into HF, CO₂ and H₂O. In general, the thermal decomposition of R-134a is successfully made for the condition of temperature above 800 °C with the supply of stoichiometric amount of O₂ and these results are well agreed with numerical prediction. And this information is employed for the simulation of a full-scale, practical incinerator used for the CDM project. For this, numerical investigation has been made for a commercial-scale incinerator using CH₄–air flames for the proper destruction C₂H₂F₄ together with the control of pollutants such as CO and NO. In general, the destruction rate of C₂H₂F₄ appears more than 99.99 % and the generation of CO and NO species appears rather sensitive to the operational condition such as amount of water vapor. The numerical method of HFCs (hydrofluorocarbons) thermal treatment shows high possibility as a viable tool for the proper design and optimal determination of the operational condition for a HFCs incinerator.     

Multilateral energy lending and urban bias in autocracies: promoting fossil fuels

Energy demand is growing rapidly across the world, and international funding agencies like the World Bank have responded by emphasizing energy in their project portfolios. Some of these projects promote the use of fossil fuels, while others support cleaner forms of energy. For climate change mitigation, it is important to understand how international funders decide on the choice between fossil fuels and cleaner sources of energy. Examining the energy funding portfolios of the nine most important international funders for the years 2008-2011, we show that funding for fossil fuels has been concentrated in highly urbanized autocracies. Due to economies of scale, fossil fuels are suitable for generating heat and electricity for densely populated urban areas. Autocratic rulers are subject to urban bias in their policy formulation because the support of concentrated urban constituencies is key to an autocrat’s political survival, and in democracies environmental constituencies can effectively oppose fossil fuel projects.     

Assessment of airborne environmental bacteria and related factors in 25 underground railway stations in Seoul,Korea

This study assessed bacterial concentrations in indoor air at 25 underground railway stations in Seoul, Korea, and investigated various related factors including the presence of platform screen doors (PSD), depth of the station, year of construction, temperature, relative humidity, and number of passengers. A total of 72 aerosol samples were collected from all the stations. Concentrations of total airborne bacteria (TAB) ranged from not detected (ND) to 4997 CFU m^?3, with an overall geometric mean (GM) of 191 CFU m^?3. Airborne bacteria were detected at 23 stations (92%) and Gram-negative bacteria (GNB) were detected at two stations (8%). TAB concentrations of four stations (16%) exceeded 800 CFU m^?3, the Korea indoor bio-aerosol guideline. The results of the study showed that TAB concentrations at the stations without PSD showed higher TAB concentrations than those with PSD, though not at statistically significant levels. TAB concentrations of deeper stations revealed significantly higher levels than those of shallower stations. Based on this study, it is recommended that mitigation measures be applied to improve the indoor air quality (IAQ) of underground railway stations in Seoul, with focused attention on deeper stations.     

Degradation of ammonium dinitramide (ADN) in digested sewage sludge under strict anaerobic conditions

The biodegradation of one popular nitramine energetics, ammonium dinitramide (ADN) by mixture of denitrifying bacterial species was investigated. ADN was observed to be effectively mineralized in the anaerobic mixed culture. The initial ADN concentration of 250 mg/L was reduced to non‐detectable levels (> 99% removal efficiency) in 5 days of incubation under anaerobic conditions. Final products generated from anaerobic degradation of nitramine energetics by anaerobic metabolism were NH₄ ⁺, CH₄, and CO₂ that were released to the environment with the denitrifiers’ growth. In addition, it was found that the activity of denitrifiers was inhibited by high concentration of ammonia generated through the degradation reactions of energetic nitrites.     

Prediction of Total Sediment Load in Sand‐Bed Rivers in Korea Using Lateral Distribution Method

A new method for numerically predicting the total sediment load in a river is proposed. The method can be used to predict the total sediment load with information on channel geometry and slope, flow, and bed materials. The conventional method uses a 1D approach that assumes the channel has a wide rectangular shape. However, the proposed method computes depth‐averaged velocity over the width and predicts the total sediment load based on the flow computations. The new method, therefore, is expected to predict better if the flow changes significantly in the lateral direction. The proposed method was applied to three large sand‐bed rivers in Korea, where information is available regarding suspended sediment. Five formulas were tested of use in making total sediment load computations, namely Engelund‐Hansen's, Ackers‐White's, Yang's, Brownlie's, and Karim's formulas. The predicted total sediment loads are compared not only with measured data but also with results calculated using the 1D approach. Discrepancy ratios between the predicted and measured total sediment loads are given and the results are discussed.     

居住区生活垃圾源头分类计量系统示范研究

以浦东新区为例,分析不同居住区生活垃圾分类收运模式,利用称重技术建立居住区“干湿”分类源头计量系统示范工程,并对计量数据进行整理分析,为管理部门决策提供数据支撑和技术支撑.     

Climate change impact assessment on Northeast China’s grain production

The international community is paying more attention to climate change because a consensus has been reached that climate change has an adverse effect not only on the environment but also on agriculture. Therefore, in this study, present and future climate datasets (obtained from general circulation models) including atmospheric carbon concentration were used to assess the impact of climate change on grain production for an important base of China (Northeast). An empirical model has been developed using climate and other additional variables (effective irrigation area, fertilizer, and labor force) to assess the effect of climate change on grain production. The results revealed that maximum temperature is a key climate determinant in grain production of the study area. Atmospheric carbon concentration showed a significant impact on grain outputs in most of the cases. During the analysis, it was observed that precipitation displayed a declining trend while an effective irrigation area showed positive non-significant contribution to grain production. Analysis based on different representative concentration pathways exhibited that maximum temperature may contribute negatively to grain production in the future. Overall, the analysis showed that climate change has a significant contribution to grain production. In conclusion, the implications for future research and policymakers have been addressed. Particularly, the importance of considering regional differences in adaptation planning in agricultural regions was also considered.