Polymer Mineralization in Soils: Effects of Cold Storage on Microbial Populations and Biodegradation Potential

Soil retrieval, processing and storage procedures can have a profound effect on soil microorganisms. In particular, changes in soil microbial populations may adversely affect the biological activity of a soil and drastically alter the soil's potential to mineralize added substrates. The effects of cold storage on the biodegradation of a series of test polymers was investigated using two soils—a synthetic soil mix (SM-L8) and a field soil (Bridgehampton silt loam) from Rhode Island (RI-1). Biodegradation tests were conducted using freshly prepared/collected soil and again following storage at 4°C for 3 to 8 months. Prior to each biodegradation test, the soils were incubated at 60% water-holding capacity (WHC) and 25°C to rejuvenate the microbial populations; the soils were incubated for periods of 48 h (freshly collected soil) or 25 days (soils stored at 4°C). Soil microbial populations were assessed by enumerating different segments of the population on agar plates containing different selective media. Mineralization of the test polymers (cellulose, poly-3-hydroxybutyrate, and starch acetate, d.s. 1.5) was monitored using standard respirometric techniques. Our results demonstrated that cold storage had a generally negative effect on the soil microbial populations themselves but that its effect on the capacity of the soil microorganisms to degrade the test polymers varied between soils and polymer type. Whereas cold storage resulted in dramatic shifts in the community structure of the soil microbial populations, substantial restoration of these populations was possible by first conditioning the soils at 60% WHC and ambient temperatures for 25 days. Likewise, although the effects of cold storage on polymer mineralization varied with the test polymer and soil, these effects could be largely offset by including an initial 25-day stabilization period in the test.     

金矿废水中氰化物的自然降解及其环境影响

某金矿废水氰化物在尾矿坝、环保坝及河流中的自然降解规律可以用负指数方程描述 .废水进入河流 A、河流 C后浓度降低的主导因素是河水的稀释作用 .通过计算研究 ,该金矿废水氰化物基本不对国际河流 F造成影响 .控制该金矿废水对 A、C2河污染的有效途径是增加循环用水量、降低环保坝水位以便减少废水渗水量 .     

放电作用下四氯化碳的吸附、脱附及降解特性

考察了填充式反应器中放电对四氯化碳（CCl₄）的吸附、脱附作用影响．结果表明,放电作用下CCl₄在反应器中的移动速度加快,穿透时间的从17min缩短到6min,脱附时间约从60min缩短至14min,反应器对CCl₄的吸附能力显著下降;脉冲电压峰值越高,CCl₄吸附一脱附速率越快,降解效率越高．载气成分对CCl₄影响,在电压为50kV的条件下,分别以氮气和氧气作载气,CCl₄的降解效率可达69.1％和97.6％;放电可对吸附剂起脱附再生作用,具有放电脱附速率快、工艺简单等特点,有较好的应用前景．     

超临界水氧化法降解氧乐果的研究

实验研究了有机磷农药氧乐果在超临界水中的氧化降解．结果表明,超临界水氧化技术能有效地降解氧乐果废水．随着反应温度的升高、压力的增大、停留时间的延长,COD去除率也随之提高氧乐果在超临界水中氧化降解的动力学方程为：－d［COD］/dτ＝1.60eｘp（－2.25×10⁴/RT）［COD］^0.90［O₂］₀^-0.38［H₂O₀^0.053.     

废水中甲苯的臭氧氧化动力学的研究

采用臭氧氧化降解含甲苯的废水,实验研究了在温度为298K时,不同pH值、反应物的初始浓度对甲苯降解反应过程及其动力学的影响,初步探讨了甲苯液相臭氧氧化降解过程机理。      

膜-生物反应器与普通活性污泥法处理啤酒废水试验

膜-生物反应器组合工艺由于用膜组件代替传统的二沉池而具有普通活性污泥法无法比拟的优点,研究对膜-生物反应器及普通活性污泥法的COD和NH₃ -N去除效率、降解动力学、微生物组成、活性污泥粒径分布等方面作了比较。      

光合细菌球形红细菌厌氧降解氯代苯

采用光合细菌球形红细菌(Rhodobacter sphaeroides)在厌氧光照条件下对氯代苯进行生物降解.结果表明,氯代苯不能作为球形红细菌生长的唯一碳源和能源.球形红细菌厌氧降解氯代苯是在适宜碳源存在下,由氯代苯诱导产生诱导酶以共代谢的方式进行,降解途径是先打开苯环生成小分子的氯代烷烃、再还原脱氯.在培养基中加入一定量的酵母膏,可使细菌生长的停滞期明显缩短,提高氯代苯的脱氯率.在氯代苯浓度为100mg/L时,厌氧降解的最适宜条件为苹果酸浓度1.0g/L、硫酸铵浓度0.1g/L、pH7.0、酵母浸膏浓度1.0g/L.     

好氧-缺氧一体化高效分离生物流化复合反应器

鉴于污水处理中对氮、磷去除率的要求和内循环三相生物流化床反应器存在的一些不足,为此,设计开发了一种好氧-缺氧一体化高效分离生物流化复合反应器。该反应器对好氧循环流化区采用了独特的分格结构,当反应器处理规模增大时,在不增加反应器总体高度的基础上,保证了循环流化区的高径比。循环流化反应器与高效气浮分离反应器的耦合,克服了循环流化床以沉淀原理为基础的固液分离效果不佳的状况,既可以保证出水水质,又可以实现反应器的一体化。通过气体提升方式实现了好氧出水回流,使该种反应器能够实现脱氮和部分除磷的目的。该反应器处理生活污水的初步试验结果表明它具有很好的抗冲击负荷和去除有机物的性能。     

京西门头沟区自然植被滞尘能力及效益研究

利用2006年夏季实地测量的植物叶片滞尘数值,得出常绿乔木、落叶阔叶乔木、灌木以及草地4种不同植物类型的平均滞尘能力,再将其与用遥感方法估算出的叶面积指数以及植被统计数据相结合,评估了门头沟区自然植被总体的滞尘能力、滞尘量与滞尘效益.结果表明: 自然植被具有明显的滞尘功能,门头沟区自然植被的年滞尘量为39.47×104 t,由此带来的滞尘效益价值为67.10×106元;灌木林和落叶阔叶林2种植被类型,是研究区自然植被滞尘能力和年滞尘量的主要组成部分;常绿乔木的滞尘时间长于其他任何植物种类,其年滞尘量与滞尘能力所占比例有所增加.      

Cost-Effective Suppression and Eradication of Invasive Predators

Abstract: Introduced predators can have pronounced effects on naïve prey species; thus, predator control is often essential for conservation of threatened native species. Complete eradication of the predator, although desirable, may be elusive in budget‐limited situations, whereas predator suppression is more feasible and may still achieve conservation goals. We used a stochastic predator–prey model based on a Lotka‐Volterra system to investigate the cost‐effectiveness of predator control to achieve prey conservation. We compared five control strategies: immediate eradication, removal of a constant number of predators (fixed‐number control), removal of a constant proportion of predators (fixed‐rate control), removal of predators that exceed a predetermined threshold (upper‐trigger harvest), and removal of predators whenever their population falls below a lower predetermined threshold (lower‐trigger harvest). We looked at the performance of these strategies when managers could always remove the full number of predators targeted by each strategy, subject to budget availability. Under this assumption immediate eradication reduced the threat to the prey population the most. We then examined the effect of reduced management success in meeting removal targets, assuming removal is more difficult at low predator densities. In this case there was a pronounced reduction in performance of the immediate eradication, fixed‐number, and lower‐trigger strategies. Although immediate eradication still yielded the highest expected minimum prey population size, upper‐trigger harvest yielded the lowest probability of prey extinction and the greatest return on investment (as measured by improvement in expected minimum population size per amount spent). Upper‐trigger harvest was relatively successful because it operated when predator density was highest, which is when predator removal targets can be more easily met and the effect of predators on the prey is most damaging. This suggests that controlling predators only when they are most abundant is the “best” strategy when financial resources are limited and eradication is unlikely.