用光触媒抑制淡水藻类增殖作用的研究

为维护和改善湖水、水库等大型蓄水设施的水质而寻找一种新的方法,在人工的明／暗光照射条件下,探讨了运用粉末状TiO2作为光触媒,抑制各种淡水藻类增殖的效果。粉末状的TiO2,在100mg／L的浓度下,对蓝藻的铜绿微囊藻原变种、鱼腥藻和绿藻的空星藻有明显的抑制增殖的效果;而对硅藻的钝脆杆藻,在此条件下则没有效果。     

三峡水库支流大宁河水华特征研究

以三峡水库支流大宁河水华敏感期(2007年4~6月和2008年4~5月)水质和水华的调查数据为依据,研究了其水质变化、营养盐构成及水华特征.结果表明,水华敏感期大宁河自回水段以下氮磷含量较高,总氮范围为0.84~3.21 mg/L,总磷为0.011~0.531 mg/L,氮营养盐主要以TDN为主(TDN/TN为84%),而磷营养盐以TDP占优(TDP/TP为60%);N/P值均高于16,藻类生长受磷限制.高锰酸盐指数和溶解氧含量低且变化稳定.叶绿素a为1.41~219.04 mg.m-3.相关性分析表明Chl-a与TP、高锰酸盐指数、DO、pH呈显著正相关(rChla-TP=0.453、rChla-高锰酸盐指数=0.641、rChla-DO=0.584、rChla-pH=0.409,p0.01),与SD呈显著负相关(rChla-SD=-0.392,p0.01);pH受多参数影响,但受藻类生长影响较大.通过显微镜对藻类进行鉴定,发现大宁河自回水段以下水华敏感期藻类分布较广,共发现8门82属124种,其中硅藻门和绿藻门分布最多,其次为蓝藻门和甲藻门,其余藻种较少.大宁河在水华敏感期暴发了3次自回水段以下大规模水华,水华期间藻密度最高值是正常值的14~1427倍,水华优势种主要有绿藻门的波吉卵囊藻、小空星球藻、土生绿球藻、实球藻和小球藻;裸藻门的扁裸藻、矩圆囊裸藻;硅藻门的小环藻、冠盘藻和舟形藻;甲藻门的埃尔多甲藻等;发生多藻种同时水华的情况;出河口处藻类较少.     

武汉东湖湖水的藻类生长潜力(AGP)测试

在东湖湖水样品中添加排入东湖的主要污水或营养物（氮和磷）进行藻类测试,观察它们对斜生橱藻（Scenedesmus obliquus）的生长促进作用.生长反应与添加的污水浓度成正比,其SC₂₀（促进20％增长的浓度）为0.5—4％.单独添加氮或磷,在高浓度情况下也很少促进藻类生长,但共同添加时大多有促进作用.东湖为一严重富营养型湖泊,为了控制其富营养化进程,污水截流应是首先要采取的一项措施.     

发酵稻草抑藻机理研究

稻草在通气条件下经1个月发酵后,发酵稻草及其发酵液对鱼腥藻和念珠藻的生长具有显著的抑制效果,而对小球藻的抑制效果不明显,这说明发酵稻草的抑藻作用是有特异性的;经过灭菌的发酵稻草、没有经过发酵的稻草则没有抑藻作用,显示抑制藻类的物质是在稻草经过发酵后形成的,且该物质对热敏感。我们从发酵稻草中分离出21株微生物,发现其中一株(B3)具有和发酵稻草相同的抑藻效果,它能强烈地抑制鱼腥藻和念珠藻的生长,但它的发酵滤液没有抑制作用。本实验表明发酵稻草的抑藻作用是由于稻草在发酵过程中富集了某种微生物,这种微生物直接作用于藻类,使藻类的生长受到抑制,甚至死亡。     

太湖蓝藻水华灾害程度评价方法

通过对太湖蓝藻水华灾害分析,借鉴赤潮灾害评价指标,采取蓝藻水华面积和Chla浓度作为灾害程度分级评价指标,应用层次分析法确定权重,结合隶属度函数,采用模糊综合评价建立太湖蓝藻水华灾度分级评价方法,定量描述蓝藻水华灾害程度.结合2008年太湖蓝藻水华灾害事件对该方法进行验证.结果表明,2008年太湖蓝藻水华灾害规模主要为小型、中型和大型,无重大和特大蓝藻水华灾害发生;其中小型蓝藻水华灾害在各月都有分布,中型和大型蓝藻水华灾害主要分布在5月和7~9月.评价结果表明该方法具有一定的科学性和适用性.     

基于磷阈值的富营养化风险评价体系

选取北京市重要的地表水源密云水库作为实例研究,在识别影响富营养化发生的主要限制因子的基础上,采用外源营养盐输入对富营养化作用的流水藻类培养试验(AGP)方法,并结合数学方法拟合富营养化水体发生的阈值.研究表明,根据富营养化水体各水质指标之间的回归关系,确定出能够反映富营养化的水质指标阈值.运用水质模型模拟富营养化过程,进行基于阈值的富营养化风险评价,构建了富营养化风险评价方法体系,提供了一种基于阈值的水体富营养化风险评价的方法.     

Electrochemical inactivation of cyanobacteria and microcystin degradation using a boron-doped diamond anode——A potential tool for cyanobacterial bloom control

Cyanobacterial blooms are global phenomena that can occur in calm and nutrient-rich(eutrophic) fresh and marine waters. Human exposure to cyanobacteria and their biologically active products is possible during water sports and various water activities, or by ingestion of contaminated water. Although the vast majority of harmful cyanobacterial products are confined to the interior of the cells, these are eventually released into the surrounding water following natural or artificially induced cell death. Electrochemical oxidation has been used here to damage cyanobacteria to halt their proliferation, and for microcystin degradation under in-vitro conditions. Partially spent Jaworski growth medium with no addition of supporting electrolytes was used. Electrochemical treatment resulted in the cyanobacterial loss of cell-buoyancy regulation, cell proliferation arrest, and eventual cell death. Microcystin degradation was studied separately in two basic modes of treatment: batch-wise flow, and constant flow, for electrolytic-cell exposure. Batch-wise exposure simulates treatment under environmental conditions, while constant flow is more appropriate for the study of boron-doped diamond electrode efficacy under laboratory conditions. The effectiveness of microcystin degradation was established using high-performance liquid chromatography–photodiode array detector analysis, while the biological activities of the products were estimated using a colorimetric protein phosphatase-1 inhibition assay. The results indicate potential for the application of electro-oxidation methods for the control of bloom events by taking advantage of specific intrinsic ecological characteristics of bloom-forming cyanobacteria. The applicability of the use of boron-doped diamond electrodes in remediation of water exposed to cyanobacteria bloom events is discussed.     

太湖水质的时空分异特征及其与水华的关系

在大量调查数据的基础上,分析了太湖水质的时空分异特征,探讨了太湖不同湖区、不同季节水质差异的原因。研究结果显示：北部的入湖河口区、几个湖湾、湖心区、西南湖区、东部湖区水体的透明度、高锰酸盐指数、氮、磷、叶绿素等富营养化指标差异显著。入湖河口区的高锰酸盐指数和营养盐含量高于南部湖区数倍,也明显高于北部湖湾区,这反映出太湖西北部入湖河道污染对太湖影响显著。不同季节太湖水质指标也差异显著,冬春期(12～次年5月份)水体的氮含量高于夏秋季(6～11月份)近1倍。水质季节性的显著差异进一步说明了外源输入对太湖水质的影响。研究表明太湖水质的时空异质性既受太湖湖泊形态特征本身的影响,也更多受到外源污染的影响,解决太湖的蓝藻水华问题,首先要在太湖的外源污染控制方面取得突破.     

基于BP神经网络的藻类水华预测模型研究

以宁波大学校内池塘2009年3—10月间30周的监测数据为基础,运用BP人工神经网络方法构建预测模型,探求颤藻生物量与总氮、总磷、透明度等6项环境因子之间的关系,选出最佳预测模型,并对模型进行敏感度分析。结果显示:①BP神经网络模型对颤藻生物量预测值与实测值之间拟合程度良好,相关系数达到了0.984,说明BP神经网络模型可以用于水体中藻类水华的短期预测。②通过对构建的BP神经网络模型进行敏感度分析,阐明了宁波大学校内池塘藻类水华的主要驱动因素,并指出控制水体的pH是宁波大学校内池塘藻类水华防治工作的重点。     

Variation of phytoplankton community before an induced cyanobacterial （Arthrospira platensis ） bloom

A cyanobacterial (Arthrospira platensis) bloom was induced in situ by nutrient manipulation in an enclosure. The succession of the phytoplankton community and the water chemistry variations before the appearance of bloom, as well as their relationship, were investigated. The cell pigment variations were studied simultaneously. The Pearson’s correlation analysis showed that there was no significant correlation between water chemistry and green algal or cyanobacterial composition, indicating that water chemistry variations were not suitable to be used as indicators for cyanobacterial-bloom early-warning. However, the diversity index of the phytoplankton community decreased sharply before the bloom appeared. Therefore, the dynamics of phytoplankton community was put forward to be an indicator for cyanobacterial-bloom early-warning. In addition, the cell pigment variations represented the changes of community structure, which should be useful for studying the dynamics of phytoplankton community.