膜生物反应器处理苎麻脱胶废水的研究

利用膜生物反应器对苎麻生物脱胶废水进行试验研究,通过对废水中的COD、NH3-N、SS及色度进行检测发现,出水水质达到国家综合排放标准,并可回用。因此,此法处理麻生物脱胶废水可行,为苎麻生物脱胶废水的处理提供一种新的处理方法。     

Uncovering the evolution of tin use in the United States and its implications

• US tin use decreases as the GDP value added by manufacturing sector increases. • Global and China’s tin use increases as the GDP added by manufacturing increases. • A sigmoid curve can fit the US tin use data well. • US tin use patterns is not due to the finite tin reserves or resources. • Policies, substitutions, etc. play key roles in the changing tin use patterns. Tin is of key importance to daily life and national security; it is considered an essential industrial metal. The United States (US) is the world’s largest economy and consumer of natural resources. Therefore, the analysis of historical tin use in the US is helpful for understanding future tin use trends in the world as a whole and in developing countries. Time series analysis, regression analysis with GDP or GDP/capita, and historical data fitted with logistic and Gompertz models are employed in this study. Historical tin use in the US shows three stages—increase-constant-decrease, as GDP per capita has increased. Tin use in the US is negatively correlated with the GDP value added by the manufacturing sector, while the use of tin worldwide and in China continues to increase along with the GDP value added by the manufacturing sector. Although a sigmoid curve can fit the US tin use data well, that use is not directly related to the limited tin reserves or resources. Rather, policies, economic restructuring, substitutions, new end-use markets, etc. have played key roles in the changing tin use patterns. This work contributes to understanding future tin use at both the global and national levels: tin use will continue to increase with GDP at the global level, but use patterns of tin at the national level can be changed through human intervention.     

废水除磷技术的研究与发展

目前 ,人们越来越重视污水除磷技术。本文介绍与评述了化学和生物两种除磷方式及其除磷机理和工艺 ,并着重介绍了生物除磷的现状、发展和研究动向     

Biodegradation of phthalate esters by two bacteria strains

In this study two aerobic phthalic acid ester (PAE) degrading bacteria strains, DK4 and O18, were isolated from river sediment and petrochemical sludge, respectively. The two strains were found to rapidly degrade PAE with shorter alkyl-chains such diethyl phthalate (DEP), dipropyl phthalate (DPrP), di-n-butyl phthalate (DBP), benzylbutyl phthalate (BBP) and diphenyl phthalate (DPP) are very easily biodegraded, while PAE with longer alkyl-chains such as dicyclohexyl phthalate (DCP) and dihexyl phthalate (DHP) and di-(2-ethylhexyl) phthalate (DEHP) are poorly degraded. The degradation rates of the eight PAEs were higher for strain DK4 than for strain O18. In the simultaneous presence of strains DK4 and O18, the degradation rates of the eight PAEs examined were enhanced. When the eight PAEs were present simultaneously, degradation rates were also enhanced. We also found that PAE degradation was delayed by the addition of nonylphenol or selected polycyclic aromatic hydrocarbons (PAHs) at a concentration of 1 microg/g in the sediment. The bacteria strains isolated, DK4 and O18, were identified as Sphigomonas sp. and Corynebacterium sp., respectively.     

餐饮业外排烹调油烟气的危害及净化方法研究进展

我国快速发展的餐饮业外排的油烟气污染日趋严重,其毒性研究结果表明其中所含的污染物对人体健康有较大危害;油烟气形态及组成的特殊性使其净化处理较困难,国内外研究者针对这一问题相继作出了不少研究,取得了一定程度的进展.但对中国而言,仍然缺乏实用高效的油烟气净化技术.     

Integrating purifiers in refinery hydrogen networks: a retrofit case study

Hydrogen is an important utility in the production of clean fuels such as low-sulfur gasoline and diesel. The shortage of hydrogen resource motivates the integrated management of hydrogen networks with purifiers. In this paper, we propose a systematic approach for the retrofit design of these hydrogen networks. By establishing a state-space superstructure, all possible placements of existing compressors and purifiers are incorporated in the proposed MINLP model. Total annual cost (TAC) is employed as the optimizing object to understand the trade-offs between operating cost and capital cost. A real refinery system near Shanghai of China city is used to illustrate the applicability of the approach.     

Mobilization of soil organic matter by complexing agents and implications for polycyclic aromatic hydrocarbon desorption

Complexing agents are frequently used in treatment technologies to remediate soils, sediments and wastes contaminated with toxic metals. The present study reports results that indicate that the rate and extent of soil organic matter (SOM) as represented by dissolved natural organic carbon (DNOC) and polycyclic aromatic hydrocarbon (PAH) desorption from a contaminated soil from a manufactured gas plant (MGP) site can be significantly enhanced with the aid of complexing agents. Desorption of DNOC and PAH compounds was pH dependent, with minimal release occurring at pH 2-3 and maximal release at pH 7-8. At pH-6, chelate solutions were shown to dissolve large amounts of humic substances from the soil compared to controls. The complexing agents mobilized polyvalent metal ions, particularly Fe and Al from the soil. Metal ion chelation may disrupt humic (metal ion)-mineral linkages, resulting in mobilization of SOM and accompanying PAH molecules into the aqueous phase; and/or reduce the degree of cross-linking in the soil organic matter phase, which could accelerate PAH diffusion.     

苏南水库硅藻群落结构特征及其控制因素

为了解我国东南湿润区丘陵山地型水库硅藻的群落结构特征和控制因素,于2015年6月硅藻水华敏感期对苏南地区18座水库的浮游植物群落结构和水质进行调查,分析了营养盐、水深、库容等因素与硅藻及其它浮游生物的关系.结果表明,硅藻达到轻度水华水平(硅藻细胞含量介于100~1 000万cells·L~(-1))的水库有10座,对供水和景观功能产生明显影响;苏南地区水库普遍处于中营养和富营养水平,总氮浓度普遍偏高,磷及营养状态指数与硅藻生物量的关系密切;苏南地区水库中的浮游植物在数量上以蓝藻门中的席藻为主,在生物量上则以硅藻门、绿藻门和蓝藻门为主,其中硅藻门浮游植物平均占总浮游植物生物量的46.8%,是浮游植物异常增殖的主要门类;硅藻门中,主要是针杆藻、小环藻、曲壳藻和直链藻这4个种属占优,特别是针杆藻和小环藻,平均占硅藻总生物量的51.6%和21.4%;较深的水体,利于硅藻成为主要优势藻门;较大的水库流域库容比和较高总磷水平会导致水库营养水平和叶绿素浓度增加,促进浮游植物从硅藻门向绿藻门、蓝藻门演替,增加藻类危害的风险.因此,对于该地区水库,需要加强流域管理,并且针对水库自身的特点,包括水深、流域库容比等,确定其特定的富营养化控制策略,从而减少硅藻等藻类水华发生的风险,提升水源地水质安全保障能力.     

基于ELCOM-CAEDYM模型的太湖蓝藻水华早期预测探讨

结合太湖蓝藻水华形成的"四阶段理论", 基于澳大利亚西澳大学水研究中心开发的ELCOM-CAEDYM耦合模型框架构建了太湖水华蓝藻生态动力学模型,对蓝藻水华的形成进行模拟,分析了太湖蓝藻水华早期预测的可行性.结果表明:该模型在较长时间尺度上对春季复苏阶段及生长上浮阶段蓝藻水华的形成模拟效果较好,蓝藻生物量模拟值与站点调查值的误差变化范围在1.0%~70.4%,平均误差为28.0%,与MODIS卫星反演值的误差变化范围在3.8%~83.9%,平均误差40.5%;但越冬阶段蓝藻生物量模拟输出值与站点调查值的误差变化范围在3.0%~143.6%,平均误差为40.1%,与MODIS卫星反演值的误差变化范围在9.7%~118.4%,平均误差为48.8%,表明模型对蓝藻越冬过程模拟能力还不强,应在蓝藻越冬机制模拟计算方面进一步改进,以满足蓝藻水华早期预测的需要.