前置A2NSBR系统硝化和反硝化除磷的特性

以处理实际低C/N生活污水的前置A₂NSBR系统为研究对象,考察系统内生物膜的硝化特性和活性污泥的反硝化除磷特性.试验研究了有机物和NO₂^--N浓度对生物膜硝化性能的影响,以及不同电子受体浓度对反硝化吸磷速率的影响.结果测得硝化速率为11.3mgNH₄⁺-N/（L·h）,在填充率40%的条件下容积负荷为0.27kgNH₄⁺-N/（m³·d）,有机物的存在会对硝化有抑制,但是系统表现出了良好的抗有机负荷冲击能力,硝化速率为9.72mg NH₄⁺-N/（L·h）.NO₂^--N处理对AOB活性几乎无影响,对NOB活性抑制作用明显,当NO₂^--N浓度为400mg/L时,NOB活性仅为1.63%,几乎接近完全被抑制.根据本次不同电子受体条件下除磷批次试验的结果,好氧吸磷速率为17.62mg P/（g VSS·h）,以NO₃^--N为电子受体的缺氧吸磷速率是12.94mg P/（g VSS·h）,从而可知缺氧聚磷菌占总聚磷菌的比例大约是73.4%,其中在NO₂^--N浓度为30mg/L出现吸磷抑制,当NO₂^--N和NO₃^--N共存时,NO₂^--N在初始浓度为15mg/L便出现吸磷抑制.     

生物活性炭对不同C/N比废水同步硝化反硝化脱氮效果的影响

以连续运行的生物活性炭(biological actived carbon,BAC)填料反应器为研究对象,与序批式活性污泥反应器(sequencing batch reactor,SBR)对比,考察了BAC的加入对不同C/N比废水同步硝化反硝化(simultaneous nitrification and denitrification,SND)脱氮效果的影响.在室温(15~27℃),初始溶解氧(dissolved oxygen,DO)质量浓度2~3 mg·L-1条件下,以甲醇做外加碳源,分别设置进水C/N比为3、5、8和10运行120个周期,比较两反应器的脱氮效果及稳定性.结果表明,C/N比由3依次升至5和8时BAC填料反应器脱氮效果优于SBR,TN平均去除率分别达44.88%、58.07%和66.64%.继续增大进水C/N至10,SBR发生污泥膨胀,而BAC反应器仍能保持63.65%的TN去除率.实验证明BAC在单一反应器内创造了多样的溶解氧环境,为SND创造了适宜的条件.BAC的加入减小了过量有机碳对硝化系统带来的影响,扩大了反应器的C/N比适用范围,增加了运行的稳定性,提高了有机物的脱氮容量,为高效脱氮提供了可能.     

基于ABR-MBR组合工艺不同进水C/N比对反硝化除磷性能的影响机制

基于厌氧折流板反应器(ABR)微生物相分离及膜生物反应器(MBR)高效截留的特性,通过加设硝化液回流与污泥回流实现了ABR-MBR一体化反应器的循环联动,对连续流条件下调控进水COD浓度及COD/TN比条件下的反硝化除磷影响机制展开了研究.结果表明在5个不同进水C/N比下,ABR-MBR组合工艺最终出水溶解性PO_3-4-P平均浓度分别为0.22、0.34、0.39、0.42和2.45 mg·L~(-1),低C/N比可获得更好的除磷效果,而C/N为4.8~6.0时,工艺对COD、TN和溶解性PO_3-4-P去除率分别在87%、76%和93%以上.此外,在C/N为3.6~6.0时,ABR缺氧吸磷量与工艺对TN去除量呈良好的线性关系,提高进水C/N比有助于系统对TN的去除.最终获得进水C/N比为6时最有利于氮和磷的同步去除.     

分段进水对改良A2/O-BAF双污泥系统反硝化除磷脱氮的影响

采用改良A²/O-BAF双污泥系统处理低C/N比生活污水,为提高碳源利用率,研究了两段进水（预缺氧段和缺氧段）对反硝化除磷脱氮的影响,同时根据COD的物料衡算公式,分析评价了不同进水比下,碳源的利用情况.结果表明当分段进水比为7：3时,平均进水COD、NH₄⁺-N、TN、TP浓度分别为174.99、58.19、59.10、5.15 mg·L^-1,出水COD、NH₄⁺-N、TN、TP浓度分别为29.48、4.07、14.10、0.44 mg·L^-1,去除率分别为82.12%、92.76%、75.45%、91.20%;系统中反硝化聚磷菌占聚磷菌的比例（DPAOs/PAOs）为98.81%,此时系统反硝化除磷脱氮最佳,同时碳源的有效利用率达85.77%,平衡百分比为92.33%.通过优化分段进水,碳源被有效利用,提高了同步脱氮除磷效率,为改良A²/O-BAF双污泥系统处理低C/N比污水提供理论依据.     

酵母提取物对葡萄糖发酵生产生物破乳菌Alcaligenes sp. S-XJ-1的影响

以从石油污染的土壤中筛选出1株生物破乳菌Alcaligenes sp.S-XJ-1为对象,考察了以葡萄糖为碳源时添加酵母提取物对生物破乳菌菌体性质、破乳性能以及菌体元素组成的影响.结果表明,酵母提取物的投加能够有效提高生物破乳菌产量,在酵母提取物浓度为5 g.L-1时,生物破乳菌产量达到3.0 g.L-1,此时葡萄糖利用率亦达到最大的58%.随着酵母提取物的投加浓度的增大,培养得到的菌体破乳性能提高,在投加浓度为10 g.L-1时,破乳率达到76%;而培养得到的菌体C/N有所降低,对其菌体表面蛋白进行提取测定发现菌体总蛋白含量升高,这与FTIR分析破乳菌菌体表面蛋白质类物质提高的结论一致.推测该生物破乳菌菌体蛋白含量的提高增强了菌体的破乳性能,菌体蛋白类物质是影响其破乳性能的关键组分之一.     

C8-SBA-15新型介孔涂层SPME-HPLC联用测定水样中的芘

以辛基键合SBA- 15为固相微萃取(SPME)的吸附涂层,考察了吸附和解吸时间、萃取温度、搅拌速率对SPME效率的影响.该方法的线性范围为3.0-320μg/L,检出限为0.5μg/L,依据此方法测定了环境水样中芘,具有灵敏度高和精密度好的特点.     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

秸秆还田少免耕对冲积土微生物多样性及微生物碳氮的影响

土壤微生物是耕地质量的重要指标,为阐明秸秆还田少免耕对土壤质量的影响及其机理,在成都平原(温江)冲积水稻土区,开展了水稻–小麦/油菜轮作秸秆还田培肥定位试验(2003～2008年),在小麦生长季节,系统研究了土壤耕层微生物数量和微生物生物量的变化特征.结果表明,秸秆还田翻耕与秸秆还田免耕的土壤耕层微生物总量分别增加了51.7%、12.8%,土壤微生物数量增加主要来自土壤细菌数量的增加;从小麦全生育期看,在小麦分蘖期的增加幅度高于小麦播种期和小麦收获后,有利于促进小麦养分吸收与生长发育.秸秆还田少免耕显著增加了微生物生物量,秸秆还田翻耕和秸秆还田免耕处理土壤微生物碳总量分别比对照提高74.1%、25.8%,土壤微生物氮分别提高60.2%和12.1%.秸秆还田循环利用显著增加了土壤微生物数量和生物量,有利于土壤养分循环与转化,有利于提高土壤有机质含量并改善有机质质量,是耕地质量建设的重要途径.     

Is Russia suffering from Dutch Disease? Cointegration with structural break

This paper examines whether Russia suffers from “Dutch Disease” by investigating the real appreciation of the Russian ruble and the relative de-industrialization in the post Soviet Union-era. According to UNDP Russia Report (2009) the Russian economy has indeed exhibited some typical symptoms of “Dutch Disease” in recent years as upward movements in oil prices are accompanied by a reduction in the share of manufacturing output and an increase in service prices. Furthermore, the report claims that these developments may trigger a recession in Russia in the future. Using Gregory and Hansen (1996a, 1996b) and Arai and Kurozumi (2007) structural break cointegration frameworks, our results indicate that the Russian economy exhibits some typical symptoms of “Dutch Disease”. Although the diagnosis is not certain, the risk is evident. Hence, policies that would make the Russian economy more robust to shocks in the oil price need to be carefully designed and implemented.     

Dynamic relationship between precious metals

We use a relatively new approach to endogenously detect the volatility shifts in the returns of four major precious metals (gold, silver, platinum and palladium) from 1999 to 2013. We reveal that the turbulent year of 2008 has no significant effect on volatility levels of gold and silver however causes an upward shift in the volatility levels of palladium and platinum. Using the consistent dynamic conditional correlations, we show that precious metals get strongly correlated with each other in the last decade which reduces the diversification benefits across them and indicates a convergence to a single asset class. We endogenously detect the shifts in these dynamic correlation levels and reveal uni-directional volatility shift contagions among precious metals. The results show that gold has a uni-directional volatility shift contagion effect on all other precious metals and silver has a similar effect on platinum and palladium. However, the latter two do not matter in terms of volatility shift contagion. Thus, investors that hedge with precious metals should, in particular, monitor the volatility levels of gold and silver.