藻源性黑水团环境效应:对水-沉积物界面氮磷变化的驱动作用

利用自制的静态模拟实验装置,通过连续抽取间隙水来研究藻细胞沉降在沉积物表面后对水-沉积物界面处的N、P变化的驱动作用及影响效果.结果表明,藻细胞沉降后,在50 min内就完全消耗掉水-沉积物界面处的溶解氧,同时水体出现严重的发黑、发臭现象;形成的厌氧、强还原环境,使得死亡的藻细胞在界面处发生强烈的厌氧矿化作用,界面处的水溶性PO34--P、NH 4+-N在实验的第2 d开始向上覆水中扩散,含量不断增加.至实验结束时(实验第8 d),界面处PO34--P、NH 4+-N的含量分别达到4.00 mg/L、39.45 mg/L,分别为同期对照实验样柱中的10倍和241倍(对照样柱中的PO43--P、NH 4+-N的含量分别为0.42 mg/L、0.16 mg/L).藻细胞的厌氧矿化加剧了氮磷营养盐向上覆水的扩散,在加重水体营养盐含量的同时,也为藻华的再次发生提供了物质基础.     

长江口及东海赤潮海洋环境特征综合探讨

针对我国东海及长江口邻近海域赤潮频繁发生的现象,本文通过大量文献查阅和研究追踪,分别从东海赤潮的生物化学、物理海洋和地质沉积三大方面对其爆发的海洋环境特征进行了综合研究。具体涉及浮游藻类密度、叶绿素a含量、初级生产力、海洋温盐流、地貌沉积八个分项的解释,从整体上对长江口及东海赤潮生消演变的海洋环境进行了初步的探讨,为进一步的认识赤潮提供了研究基础。     

藻类生长的水动力学因素影响与数值仿真

为了定量研究水动力条件对藻类生长影响,选择微囊藻进行了室内扰动实验.通过维持光照、温度、营养盐等生境因子的一致性,调整振荡器转速,研究了不同扰动强度对藻类生长规律的影响;提出了"水动力影响参数a"对藻类生长公式进行了修正,以内江为例建立了二维非稳态藻类生长模型.对不同方案下内江藻类暴发特征进行了预测分析.结果表明,水动力条件对藻类生长影响明显,低流速有利于藻类生长,而在静止与高流速条件下,藻类生长受到抑制;内江引航道节制闸关闭后,流速减缓,藻类易于暴发,可能发生水华的水域面积约2.5 km2,占总面积的36.8%;完全静止状态以及节制闸开启后内江水动力条件改善条件下,藻类暴发程度有所减小,可能发生水华面积分别为0.78 km2和0.18 km2.     

三峡库区典型流域水华暴发评价函数模型研究

藻类在光照充足时将无机磷酸和ADP转化为ATP以储备能量,外部条件改变时,则ATP可逆转换为ADP以释放能量.在此理论框架下根据三峡库区典型流域水华暴发时的现场监测数据研究了绿藻光合磷酸化的活化能ΔE、计算了库区流域中若干水系在不同水文条件下提供的有效能量Δe和综合营养指数TLI(Σ),并以ΔE、Δe和TLI(Σ)为参数构建了预测和判断不同水域环境中水华是否暴发的水华暴发评价函数F,在考虑外部因素和内部因素对水华暴发影响程度的大量计算和分析的基础上,确定了ΔE、Δe和TLI(Σ)的相关权重分别为a₁=0.3,a₂=0.3,a₃=0.4.模型计算和实地验证表明:F比单纯的TLI(Σ)作为水华暴发或者水体富营养化的判据更合理,更有说服力和更具普适性.     

巢湖蓝藻的机械清除工艺以及藻水分离实验研究

对巢湖蓝藻进行机械清除以及藻水分离实验研究，实验采用的浮式围栏引导一机械清除．投加剥离液辅助机械清除工艺处理量大，除藻效率高，筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想，藻泥含水率仅为89％。2011年5-10月在巢湖运用上述方法清除湖面水华蓝藻，共处理富藻水1．6万m3，得到藻泥970t，累计清除蓝藻106．7t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算，相当于从湖中移除了氮6．25t，磷2．1t。表明在富营养湖泊中水华蓝藻大量暴发时，采用上述方法除藻，对控制蓝藻水华污染，有效降低内源氮、磷等污染物负荷具有十分重要的作用。     

巢湖蓝藻的机械清除工艺以及藻水分离实验研究简

对巢湖蓝藻进行机械清除以及藻水分离实验研究，实验采用的浮式围栏引导-机械清除-投加剥离液辅助机械清除工艺处理量大，除藻效率高，筛网过滤-浓缩-卧螺离心机脱水成藻泥的藻水分离工艺较为理想，藻泥含水率仅为89%。2011年5—10月在巢湖运用上述方法清除湖面水华蓝藻，共处理富藻水1.6万m³，得到藻泥970 t，累计清除蓝藻106.7 t（干重）。按照所清除蓝藻的总氮、总磷的平均含量计算，相当于从湖中移除了氮6.25 t，磷2.1 t。表明在富营养湖泊中水华蓝藻大量暴发时，采用上述方法除藻，对控制蓝藻水华污染，有效降低内源氮、磷等污染物负荷具有十分重要的作用。     

Sulfur-containing amino acid methionine as the precursor of volatile organic sulfur compounds in algea-induced black bloom

After the application of methionine, a progressive and significant increase occurred in five volatile organic sulfur compounds (VOSCs): methanethiol (MeSH), dimethyl sulfide (DMS), dimethyl disulfide (DMDS), dimethyl trisulfide (DMTS) and dimethyl tetrasulfide (DMTeS). Even in the untreated control without a methionine addition, methionine and its catabolites (VOSCs, mainly DMDS) were found in considerable amounts that were high enough to account for the water’s offensive odor. However, blackening only occurred in two methionine-amended treatments. The VOSCs production was observed to precede black color development, and the reaching of a peak value for total VOSCs was often followed by water blackening. The presence of glucose stimulated the degradation of methionine while postponing the occurrence of the black color and inhibiting the production of VOSCs. In addition, DMDS was found to be the most abundant species produced after the addition of methionine alone, and DMTeS appeared to be the most important compound produced after the addition of methionine+glucose. These results suggest that methionine acted as an important precursor of the VOSCs in lakes suffering from algea-induced black bloom. The existence of glucose may change the transformation pathway of methionine into VOSCs to form larger molecular weight compounds, such as DMTS and DMTeS.     

Decrease of NH4+-N by bacterioplankton accelerated the removal of cyanobacterial blooms in aerated aquatic ecosystem

We used aerated systems to assess the influence of the bacterioplankton community on cyanobacterial blooms in algae/post-bloom of Lake Taihu, China. Bacterioplankton community diversity was evaluated by polymerase chain reaction-denaturing gradient gel electrophoresis(PCR-DGGE) fingerprinting. Chemical analysis and nitrogen dynamic changes illustrated that NH4+-N was nitrified to NO2-N and NO3-N by bacterioplankton. Finally, NH4+-N was exhausted and NO3-N was denitrified to NO2-N, while the accumulation of NO2-N indicated that bacterioplankton with completely aerobic denitrification ability were lacking in the water samples collected from Lake Taihu. We suggested that adding completely aerobic denitrification bacteria(to denitrify NO2-N to N2)would improve the water quality. PCR-DGGE and sequencing results showed that more than 1/3 of the bacterial species were associated with the removal of nitrogen, and Acidovorax temperans was the dominant one. PCR-DGGE, variation of nitrogen, removal efciencies of chlorophyll-a and canonical correspondence analysis indicated that the bacterioplankton significantly influenced the physiological and biochemical changes of cyanobacteria. Additionally, the unweighted pair-group method with arithmetic means revealed there was no obvious harm to the microecosystem from aeration. The present study demonstrated that bacterioplankton can play crucial roles in aerated ecosystems, which could control the impact of cyanobacterial blooms in eutrophicated fresh water systems.     

富营养化水体中黑水团的吸收及反射特性分析

对黑水团水体光学特性进行研究,是利用遥感技术监测和评估黑水团事件的前提.针对2015年7月在太湖发生的黑水团现象,采集了太湖黑水团区(区域一)、蓝藻水华区(区域二)、清水区(区域三)共36个水样,对这3个区域的水体遥感反射率以及吸收特性进行对比分析.结果表明:1区域一水体的总颗粒物、色素颗粒物和非色素颗粒物吸收系数比区域二、区域三高出1~2倍,在400~500 nm之间,区域一CDOM吸收系数相比另外两个区域的水体高出2倍左右.导致黑水团区域水体具有很低的遥感反射率,被人眼感知时呈现为黑色;2黑水团区域水体M值低于滇池、巢湖和太湖的M值变化范围,说明黑水团中CDOM的腐殖酸含量较高.此外,叶绿素a浓度与CDOM在350 nm处吸收系数之间具有很好的相关性,表明蓝藻的降解可能是黑水团中CDOM的一个主要来源;3在380 nm之后,黑水团区域的水体总吸收以色素颗粒物占主导,但在短波350~380 nm处,CDOM对总吸收的贡献率高于色素颗粒物和非色素颗粒物.     

Controlling cyanobacterial blooms by managing nutrient ratio and limitation in a large hypereutrophic lake: Lake Taihu, China

Excessive nitrogen (N) and phosphorus (P) loading of aquatic ecosystems is a leading cause of eutrophication and harmful algal blooms worldwide, and reducing nutrient levels in water has been a primary management objective. To provide a rational protection strategy and predict future trends of eutrophication in eutrophic lakes, we need to understand the relationships between nutrient ratios and nutrient limitations. We conducted a set of outdoor bioassays at the shore of Lake Taihu. It showed that N only additions induced phytoplankton growth but adding only P did not. Combined N plus P additions promoted higher phytoplankton biomass than N only additions, which suggested that both N and P were deficient for maximum phytoplankton growth in this lake (TN:TP = 18.9). When nutrients are present at less than 7.75-13.95 mg/L TN and 0.41-0.74 mg/L TP, the deficiency of either N or P or both limits the growth of phytoplankton. N limitation then takes place when the TN:TP ratio is less than 21.5-24.7 (TDN:TDP was 34.2-44.3), and P limitation occurs above this. Therefore, according to this ratio, controlling N when N limitation exists and controlling P when P deficiency is present will prevent algal blooms effectively in the short term. But for the long term, a persistent dual nutrient (N and P) management strategy is necessary.