Multivariate Analysis of Interactions Between Phytoplankton Biomass and Environmental Variables in Taihu Lake, China

Phytoplankton variation in large shallow eutrophic lakes is characterized by high spatial and temporal heterogenity. Understanding the pattern of phytoplankton variation and the relationships between it and environmental variables can contribute to eutrophic lakes management. In this study Taihu Lake, one of the largest eutrophic fresh water lake in China, was taken as study area. The water body of Taihu Lake was divided into five regions viz. Wuli bay (WB), Meilian Bay (MB), West Taihu Lake (WTL), Main Body of Taihu Lake (MBTL) and East Taihu Lake (ETL). Concentrations of chlorophyll-a and the related environmental variables were determined in each region in the period 2000–2003. Factor analysis and multivariate analysis were applied to evaluate the interactions between phytoplankton variation and environmental variables. Results showed that the highest average concentrations of TN, TP and Chl-a were observed in WB, followed in a descending order by MB and WTL, and the lowest concentrations of TN, TP and Chl-a were observed in MBTL and ETL. Chl-a and TP concentrations in most regions (except ETL) declined during the study period. It suggested that to some extent the lake was recovering from eutrophication. However, persistent ascending of TN and NH₄–N in all five regions indicated the deteriorating of water quality in the study period. Results of multivariate showed that the relationships between phytoplankton biomass and environmental variables varied among regions. TP illustrated itself a controlling role on phytoplankton in WB, MB, WTL and MBTL according to the significant positive relations to phytoplankton biomass in these regions. Nitrogen could be identified as a limiting factor to phytoplankton biomass in ETL in view of the positive correlations between TN and phytoplankton and between NH₄–N and phytoplankton. Spatial variation of interactions between phytoplankton and environmental parameters suggested proper eutrophication control measures were needed to restore ecological system in each region of Taihu Lake.     

Endpoint ‘floating leaves’ of <Emphasis Type="Italic">Potamogeton natans</Emphasis>: A new method to evaluate the development of macrophytes in pond mesocosms

Goal, Scope and Background One of the advantages of long-term mesocosm experiments as compared to short-term standard toxicity tests in the laboratory is the potential for detecting secondary effects due to the interaction of species and recovery with biomass of macrophytes being an important endpoint. However, generating biomass data by harvesting is often laborious, time-consuming, costly and restricted to the end of the experiment. Moreover, valuable information may get lost, in particular in single application studies, since maximal primary effects and secondary effects or recovery occur per se at different times. Potamogeton natans was used as an example in order to test whether number and area of floating leaves can be reliably measured and be used as intermediate and final endpoints in mesocosm effect studies. Methods Digital photos, which were taken of the water surface in the course of an indoor pond mesocosm study on herbicide effects, were subjected to image analysis. The results were compared to wet weight and ash-free dry weight of Potamogeton at the end of the herbicide study. Results and Discussion Both number and area of floating leaves indicated the same herbicide effects as wet weight and ash-free dry weight of Potamogeton. Error introduced by the different work steps is small and can be further minimised by a number of method improvements. Recommendations and Perspectives In indoor mesocosm studies, errors due to the perspective adjustment may be circumvented by taking the photos perpendicular to the water surface. Correction for lens aberration, identical light conditions and the use of fluorescence images are considered promising. Field applications are proposed.     

影响土壤中微生物体氮的因子

综述了影响土壤微生物体氮的因子,以及微生物体氮与可矿化氮之间的关系。着重讨论了土壤有机质、有机物料、氮肥、作物根系、土壤温度和湿度对微生物体氮的影响及研究进展;评价了土壤微生物体氮与可矿化氮的关系的研究结果。     

Influence of the zebra mussel and fish fry on structural and functional characteristics of microorganisms in experimental ecosystems

The interactions of zebra mussels, invertebrates, fish, and microorganisms were studied experimentally. Trends in the distribution of total bacterial biomass, the abundance of heterotrophic organisms, and their functional activities in water and grounds were analyzed. The most favorable conditions for development of bacteria developed in June, in the presence of fish and without zebra mussels. In experimental ecosystems with zebra mussels, a decrease in the abundance and activity of microorganisms and a change of dominant yeast forms were observed.     

分子吸附器在光学相机污染控制中的应用研究

分子吸附器作为一种新型的在轨污染控制手段,具有使用方便、重量轻、无功耗和成本低等特点,可以为航天器光学相机提供在轨污染控制。从在轨分子污染物和分子吸附器特点两方面进行分析,描述了光学相机在轨污染物来源及特点,分析了污染物成分及对光学相机的危害,阐述了分子吸附器(包括吸附剂和基底)的组成及吸附特点。结合相机结构,提出了分子吸附器在光学相机污染控制中的应用方案,并明确了今后的研究方向。     

Evaluating the impact of uncertainty and variability on the value chain optimization of a forest biomass power plant using Monte Carlo Simulation

Mathematical programming models have been used to optimize the design and management of forest bioenergy supply chains. A deterministic mathematical model is beneficial for making optimum decisions; however, its applicability to real-world problems may be limited because it does not capture all the complexities, including uncertainties in the parameters, in the supply chain. In this paper, a combination of Monte Carlo Simulation and optimization model is used to evaluate the impact of uncertainty in biomass quality, availability and cost, and electricity prices on the supply chain of a forest biomass power plant. The optimization model is a deterministic mixed integer non-linear model with monthly time steps over a 1-year planning horizon. Variability in biomass quality, i.e. moisture content (MC) and higher heating value (HHV), based on the historical data of a real case study is studied in detail and fitted probability distributions are used in the model, while for electricity prices different scenarios are considered. The results show that the impact of variability in the MC on profit is higher than that of uncertainty in HHV. It is observed that the annual profit ranges between $13.3 million and $17.9 million in the presence of all possible uncertainties while its average is $15.5 million. Uncertainty in biomass availability and cost and electricity price results in the risks of having annual profit of less than $14 million and low monthly storage levels.     

不同浓度养殖废水对青萍生长能力的影响

为了探讨废水浓度对青萍(Lemna minor)净化能力、生物质和能量积累能力的影响,以猪场养殖废水为供试废水,分析了在不同废水浓度下青萍对废水中总氮(TN)、氨氮和总磷(TP)的净化能力,青萍的生长情况,以及青萍中碳(C)、氮(N)、磷(P)元素含量和热值的变化情况。研究表明,青萍在1%浓度的废水中表现出最高的污染物净化能力。虽然青萍的C、N、P含量和热值均随废水浓度的增加而增加,但是由于相对增长率以1%的废水中生长的青萍最高,青萍的最高生产力、C和能量的固定能力均出现在1%废水浓度培养的青萍中,其次是5%废水浓度培养的青萍。多项式回归分析表明,可以使青萍获得最大C和能量固定能力的废水浓度为3.4%,对应的氨氮浓度为26 mg/L,TP浓度为3.4 mg/L。研究结果为进一步优化高生物质生产、高污染物去除率的养殖废水-浮萍培养体系提供了一定的基础。     

新制备生物炭的特性表征及其对石油烃污染土壤的吸附效果

生物炭作为一种绿色环保的功能材料因其在污水处理和污染土壤修复方面具有显著效果而受到极大关注.采用红外光谱、元素分析仪及微孔分析对不同温度(200、300、400、500和600℃)条件下制备的木屑和麦秆生物炭进行特性表征,并采用制备的生物炭净化石油污染土壤,分别考察了污染物性质、生物质原料和热解温度对其净化效果的影响.结果表明,随着热解温度的增高,生物炭芳香化程度增加,极性降低,微孔结构逐渐发育,表面积增大.加入生物炭33 d后,污染土壤中总石油烃及其组分烷烃的浓度比对照略有降低,而PAHs浓度下降显著.随着热解温度升高,2种生物炭对PAHs的吸附强度均逐渐增大,芳香度增高、表面积增大是强吸附的主要原因.2种生物炭在400℃及以下温度制备时对PAHs的吸附强度为:木屑生物炭＞麦秆生物炭;而400℃以上温度制备的生物炭吸附强度则相反,即麦秆生物炭＞木屑生物炭,说明生物炭原料对其吸附强度也具有显著影响.     

生物膜法污水处理工艺中微生物量的对比研究

采用生物膜法污水处理工艺,对深圳布吉秀峰工业城污水进行现场中试研究.出水中有机物BOD₅,COD_Cr及悬浮物去除率一般在80%以上,曝气生物滤池工艺中的污泥质量浓度2倍于生物接触氧化工艺,曝气生物滤池中的原生动物及后生动物密度比生物接触氧化工艺高出1～2个数量级.试验中曝气生物滤池的去除效果比生物接触氧化工艺稍好,从反应器中污泥质量浓度(ρ(MLSS))及原生动物、后生动物数量的比较进一步证实这一结论.      

土壤-青菜系统中铅污染对土壤微生物活性及多样性的影响

采用盆栽方法研究了青菜种植条件下2种不同类型的人为铅污染土(黄松田土和黄红壤)中不同处理对土壤微生物生物量、生理生态参数以及群落结构的影响.结果表明,2种土壤在外源铅含量为100和300 mg·kg-1时,土壤微生物生物量有微小增加,而高浓度铅污染使土壤微生物生物量显著降低.在高浓度铅污染土壤中,微生物生理生态参数发生明显变化,微生物生物量碳/土壤有机质碳(Cmic/Corg)逐渐下降,代谢熵(qco2)明显上升,表明土壤微生物群落处于胁迫状态.结果还显示,铅污染对土壤微生物的影响与不同的管理方式(青菜种植情况)以及土壤中有机质、粘粒含量等有关,在种植青菜、有机质和粘粒含量高的土壤中,土壤微生物各项参数变化要小.对21种磷脂脂肪酸(PLFA)的图谱进行分析,结果表明,受铅污染土壤的微生物群落结构组成伴随着功能参数的变化而发生了改变;随着铅污染程度的增强,指示真菌和放线菌类的脂肪酸增加,而革兰氏阳性菌与革兰氏阴性菌脂肪酸比值下降.