生物过滤技术在大气污染控制中的应用

生物过滤是控制大气污染的经济有效技术,具有较好的发展前景。本文介绍了生物过滤技术处理废气的研究,应用历史,现状,和生物过滤理论,分析了工艺的使用范围,设计及运行控制要点,列举了应用的范例。     

玉米中四种镰刀菌毒素系统检测方法的研究

本文用气相色谱仪同步检测霉变玉米中脱氧雪腐镰刀菌烯醇、二乙酰氧基镳草镰刀菌烯醇、Ｔ－２毒素和玉米赤霉烯酮四种镰刀菌毒素,并筛选出较理想的衍生化试剂和衍生化条件。确定从玉米中对极性不同的四种毒素都有较高回收率的萃取、净化程序。建立了玉米中四种毒素的系统检测方法。本方法对四种毒素的回收率均达到８０％以上。     

水合肼生产盐渣中氮化合物的去除

将水合肼生产盐渣分离碳酸钠后,通过吹脱、氧化等工艺降低饱和盐溶液的氮含量(以氨质量浓度计),以达到电解法制备氢氧化钠工艺对原料氯化钠的使用要求。中试试验结果表明:氧化反应最佳工艺条件为以次氯酸钠为氧化剂,次氯酸钠溶液中氢氧化钠质量浓度9.2g/L,次氯酸钠与初始氨的质量比为13,溶液pH 7～8,反应温度30～35℃;在此条件下氧化处理饱和盐溶液,处理后氨质量浓度由350.0 mg/L降至2.1 mg/L。将处理后的饱和盐溶液用于电解法制备氢氧化钠的生产过程,不仅可创造一定的经济效益,而且还解决了水合肼生产中的环境污染问题。     

活性碳纤维吸附废气中的丙烯酸和甲苯

采用动态吸附法探讨了在活性碳纤维对模拟废气中丙烯酸和甲苯的吸附过程中,各因素对活性碳纤维穿透吸附量和饱和吸附量的影响。实验结果表明,在模拟废气中丙烯酸质量分数为0.2%、双柱塞泵流量为6.1mL/h、载气流量为1.60L/min的条件下,穿透时间为10min,活性碳纤维的穿透吸附量为227.5mg/g,饱和吸附时间为40min,活性碳纤维的饱和吸附量为460.0m g/g。     

用水基表面活性剂乳液回收废白土中蜡的界面张力研究

通过测定液体与废白土粉末之间的接触角及液体与蜡之间的液液界面张力，对水基表面活性剂乳液的溶剂及配方进行了优选，得到最佳的水基面活性剂乳液的组成为：质量分数０．２％的十二烷基苯磺酸钠＋体积分数为２．５％的乙醇＋体积分数为２５％的混合烃（正己烷＋苯，等体积）＋体积分数为７２．５％的水。实验证明，用该水基表面活性剂乳液处理废白土，蜡的回收率可达８０％，同时不破坏白土的颗粒结构。     

水环境监测的酶学方法

对淡水环境水质监测的酶学方法作了扼要的综述。淡水生态系统中的酶能够基本反映水体的生物活性,故能与其它经典生物性指数相参照,而酶活性的变化往往先于细胞数目的变化,故酶学监测方法更为简便和灵敏。酶的活性及其动力学特征亦可对某种特定的生物化学过程或者物质循环机制作出较为深刻精确的描述。因此,酶可望成为特殊层次上的包含综合信息且具有独特含义的监测指标。     

内循环生物流化床处理丙烯酸废水的试验

介绍内循环三相生物流化床处理丙烯酸废水的中试研究。当进水ＣＯＤ为７１０—９９２ｍｇ／Ｌ时,平均去除容积负荷ＮＶ＝４．０ｋｇＣＯＤ／（ｍ３·ｄ）,污泥负荷ＮＳ＝１．６ｋｇＣＯＤ／（ｋｇＶＳＳ·ｄ）;进水ＣＯＤ为１２７７—２２７６ｍｐ／Ｌ时,ＮＶ＝６．８ｋｇＣＯＤ／（ｍ３·ｄ）,Ｎｓ＝２．８ｋｇＣＯＤ／（ｋｇＶＳＳ·ｄ）;氧利用率约１７％。同时对流化床出水进行了后处理试验,提出了丙烯酸废水的治理方案。     

Mn-Cu-O负载型催化剂上CO氧化性能的研究

研究了ＺｒＯ２或Ａｌ２Ｏ３负载Ｍｎ－Ｃｕ－Ｏ体系催化剂ＣＯ催化氧化活性，以及物相结构，表面氧性能与活性的关系。结果表明，锆基催化剂的氧化活性明显优于铝基催化剂，起燃温度Ｔ５０低达５０℃，ＺｒＯ２载 利于活性组份形成高活性物相，并促进表面吸附氧的脱附，表现出催化剂表面吸附氧的脱附温度高低次序与其氧化活性有一致的对应关系。     

Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Numerous studies support that biodiversity predict most to ecosystem functioning, but whether other factors display a more significant direct impact on ecosystem functioning than biodiversity remains to be studied. We investigated 398 samples of the phytoplankton phosphorus resource use efficiency (RUE_P = chlorophyll-a concentration/dissolved phosphate) across two seasons in nine plateau lakes in Yunnan Province, China. We identified the main contributors to phytoplankton RUE_P and analyzed their potential influences on RUE_P at different lake trophic states. The results showed that total nitrogen (TN) contributed the most to RUE_P among the nine lakes, whereas community turnover (measured as community dissimilarity) explained the most to RUE_P variation across the two seasons. Moreover, TN also influenced RUE_P by affecting biodiversity. Species richness (SR), functional attribute diversity (FAD2), and dendrogram-based functional diversity (FDc) were positively correlated with RUE_P in both seasons, while evenness was negatively correlated with RUE_P at the end of the rainy season. We also found that the effects of biodiversity and turnover on RUE_P depended on the lake trophic states. SR and FAD2 were positively correlated with RUE_P in all three trophic states. Evenness showed a negative correlation with RUE_P at the eutrophic and oligotrophic levels, but a positive correlation at the mesotrophic level. Turnover had a negative influence on RUE_P at the eutrophic level, but a positive influence at the mesotrophic and oligotrophic levels. Overall, our results suggested that multiple factors and nutrient states need to be considered when the ecosystem functioning predictors and the biodiversity-ecosystem functioning relationships are investigated.     

Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.