An information–motivation–behavioral skills assessment of curbside recycling behavior

Despite annual increases in the amount of material solid waste (MSW) that is recycled in the United States, the overall amount of MSW generated continues to increase. In an effort to identify and test specific predictors of curbside recycling behavior, the current study adapted the empirically validated Information–Motivation–Behavioral Skills model (IMB), traditionally used to predict personal health behavior, to explain curbside recycling behavior. Using structured computer assisted telephone surveys with two random community samples; structural equation models indicated that the IMB model significantly predicted curbside recycling. Data from the current study provides specific information about critical psychosocial determinants of curbside recycling behavior and public policy implications.     

3-Way pattern-recognition of PAHs from Galicia (NW Spain) seawater samples after the Prestige's wreck

In November 2002 the oil tanker ‘Prestige’ released 65 000 tons of a heavy fuel oil throughout the Galician coastline (NW Spain), causing extensive damage to marine life, natural resources and economic activities at Northern Portugal, Spain and SW France. To evaluate the impact of the oil spill on the aquatic system, 30 polycyclic aromatic hydrocarbons (PAHs), including alkylated derivatives, were analyzed in seawater on five different sampling campaigns from 2002 to 2004. Sampling was made along the Galician continental shelf. In each station three samples were collected at three different depths (surface, mid-depth and bottom). Four different approaches for 3-way analyses (Catenated-PCA, Matrix-Augmented Principal Components Analysis, Parallel Factor Analysis and Procrustes rotation) have been used to asses the major sources of PAHs into the seawater. They revealed two main pollution patterns: one related to oil spillages and discharge of petroleum products, and another more associated with a diffuse anthropogenic origin.     

Optimum conditions for microbial carbonate precipitation

The type of bacteria, bacterial cell concentration, initial urea concentration, reaction temperature, the initial Ca(2+) concentration, ionic strength, and the pH of the media are some factors that control the activity of the urease enzyme, and may have a significant impact on microbial carbonate precipitation (MCP). Factorial experiments were designed based on these factors to determine the optimum conditions that take into consideration economic advantage while at the same time giving quality results. Sporosarcina pasteurii strain ATCC 11859 was used at constant temperature (25°C) and ionic strength with varying amounts of urea, Ca(2+), and bacterial cell concentration. The results indicate that the rate of ureolysis (k(urea)) increases with bacterial cell concentration, and the bacterial cell concentration had a greater influence on k(urea) than initial urea concentration. At 25 mM Ca(2+) concentration, increasing bacterial cell concentration from 10(6) to 10(8)cells mL?1 increased the CaCO(3) precipitated and CO(2) sequestrated by over 30%. However, when the Ca(2+) concentration was increased 10-fold to 250 mM Ca(2+), the amount of CaCO(3) precipitated and CO(2) sequestrated increased by over 100% irrespective of initial urea concentration. Consequently, the optimum conditions for MCP under our experimental conditions were 666 mM urea and 250 mM Ca(2+) at 2.3×10? cells mL?1 bacterial cell concentration. However, a greater CaCO(3) deposition is achievable with higher concentrations of urea, Ca(2+), and bacterial cells so long as the respective quantities are within their economic advantage. X-ray Diffraction, Scanning Electron Microscopy and Energy Dispersive X-ray analyzes confirmed that the precipitate formed was CaCO(3) and composed of predominantly calcite crystals with little vaterite crystals.     

Elevated carbon dioxide does not offset loss of soil carbon from a corn-soybean agroecosystem

The potential for storing additional C in U.S. Corn Belt soils - to offset rising atmospheric [CO₂] - is large. Long-term cultivation has depleted substantial soil organic matter (SOM) stocks that once existed in the region's native ecosystems. In central Illinois, free-air CO₂ enrichment technology was used to investigate the effects of elevated [CO₂] on SOM pools in a conservation tilled corn-soybean rotation. After 5 and 6 y of CO₂ enrichment, we investigated the distribution of C and N among soil fractions with varying ability to protect SOM from rapid decomposition. None of the isolated C or N pools, or bulk-soil C or N, was affected by CO₂ treatment. However, the site has lost soil C and N, largely from unprotected pools, regardless of CO₂ treatment since the experiment began. These findings suggest management practices have affected soil C and N stocks and dynamics more than the increased inputs from CO₂-stimulated photosynthesis.     

Medium optimization for the production of anti-cyanobacterial substances by Streptomyces sp. HJC-D1 using response surface methodology

Bioremediation using isolated anti-cyanobacterial microorganism has been widely applied in harmful algal blooms (HABs) control. In order to improve the secretion of activated anti-cyanobacterial substances, and lower the cost, a sequential optimization of the culture medium based on statistical design was employed for enhancing the anti-cyanobacterial substances production and chlorophyll a (Chl a) removal by Streptomyces sp. HJC-D1 in the paper. Sucrose and KNO₃ were selected as the most suitable carbon and nitrogen sources based on the one-at-a-time strategy method, and sucrose, KNO₃ and initial pH were found as major factors that affected the anti-cyanobacterial ability of the isolated stain via the Plackett–Burman design. Based on the response surface and canonical analysis, the optimum condition of culture medium was obtained at 22.73 g l^-1 of sucrose, 0.96 g l^-1 of KNO₃, and initial pH 8.82, and the Chl a removal efficiency by strain HJC-D1 increased from 63?±?2 % to 78?±?2 % on the optimum conditions.     

A Thermodynamic Geography: Night-Time Satellite Imagery as a Proxy Measure of Emergy

Night-time satellite imagery enables the measurement, visualization, and mapping of energy consumption in an area. In this paper, an index of the “sum of lights” as observed by night-time satellite imagery within national boundaries is compared with the emergy of the nations. Emergy is a measure of the solar energy equivalent used, directly or indirectly, to support the processes that characterize the economic activity in a country. Emergy has renewable and non-renewable components. Our results show that the non-renewable component of national emergy use is positively correlated with night-time satellite imagery. This relationship can be used to produce emergy density maps which enable the incorporation of spatially explicit representations of emergy in geographic information systems. The region of Abruzzo (Italy) is used to demonstrate this relationship as a spatially disaggregate case.     

臭氧氧化6-APA制药厂生化处理出水的特性及动力学简

通过现场实验研究了6-APA制药厂生化处理出水的臭氧氧化特性及其动力学规律。结果表明,当臭氧浓度为27.5 mg/L,气水接触时间为80 min时,COD、UV₂₅₄、NH₃-N和色度的去除率分别可达72.95%、73.28%、72%和96.25%,达到《发酵类制药废水工业水污染物排放标准》（GB 21903-2008）排放控制要求。拟合结果表明,在0~10、10~30和30~90 min时段内,臭氧氧化过程遵循拟一级反应,但反应速率逐渐降低。当气水接触时间为30 min时,废水可生化性可由0.1提高至0.35,采用臭氧/生物处理的联合工艺也有望使出水达到相同的排放控制要求。     

水平潜流人工湿地在不同水力负荷下的水力效率及可视化分析

构建水平潜流人工湿地装置,通过NaCl示踪脉冲实验,得到不同水力负荷条件下的水力停留时间分布密度曲线,根据不同停留时间的关系计算相对水力效率,并利用染料,进行不同水力负荷下的可视化示踪实验,通过MATLAB处理得到高对比度的流态图像。观察"死区"分布,计算"死区"相对面积用以表征其水力效率。结果表明,湿地装置进水水力负荷较高或较低时,水力效率均较低,且水力负荷较大时更明显;水力分布散度(σ2θ)的大小会对水平潜流人工湿地水力效率造成较大影响;在不同水力负荷下,采用水力学效能(λ)所得到的排序结果相比短路值(s)和有效体积比(e)更能代表实际水平潜流人工湿地的水力效率。     

络合萃取技术分离制药废水中的金刚烷胺

以P204为络合剂萃取水溶液中的金刚烷胺,研究了正辛醇和煤油2种稀释剂对萃取效果的影响,分析了萃取过程的络合机理和热力学过程,并考察了该萃取体系对实际制药废水中金刚烷胺的萃取效果。结果表明,采用P204/正辛醇=3∶2的复配萃取剂,在初始pH为8.0,在油/水相比为1∶1的条件下,金刚烷胺的萃取效率可以达到99.8%以上;以2.0mol/L的HCl溶液为反萃取剂,可以将51.1%的负载金刚烷胺反萃回收;红外光谱分析表明,P204对金刚烷胺的萃取遵循离子交换和离子缔合成盐机制;萃取过程为放热过程,低温条件下有利于萃取反应的进行;P204/正辛醇复配萃取剂对实际制药废水中的金刚烷胺也具有很高的萃取效率。     

Green and compatible industrial development in Western China

Western China has lagged a lot in terms of industrial structure and economic development,compared with the national average.And China announced its target of CO_2 emission reduction,i.e.by 2020,CO_2 emission per GDP will drop by40-45%compared with 2005.The target will be incorporated into China's long-term industrial planning.Against this background,this paper will make a comprehensive examination of the industrial development of Western China,aiming to discover a green and compatible way.First,we analyze the spatiotemporal evolution of regional industrial structure for the period 2000-2010.Second,we try to discover the industrial structure optimization path for Western China by employing the Vector Auto Regression model.Lastly,we try to provide some advice and suggestions for further industrial development in Western China.Our examination shows that further industrial development in Western China should pay full attention to resource conservation and recycling,and develop on a green and compatible path.