Influence of sunlight on the proliferation of cyanobacterial blooms and its potential applications in Lake Taihu, China

To learn the relationship between sunlight intensity and cyanobacterial proliferations for the further control of the heavy blooms, enclosure experiment were conducted in Meiliang Bay, Lake Taihu by regulating the natural light intensities with different shading ratio （0% （full sunlight）, 10%, 25%, 50% and 75% of original natural sunlight intensities） from September to November in 2010. The results indicated that phytoplankton biomass （mean） decreased significantly when the shading ratios reached 50% or more. Higher shading ratios （e.g. 75%） were very efficient in controlling the average and total cyanobacterialbloom biomass, while 50% shading ratio was proven very effective either in controlling the peak value of phytoplankton biomass or postponing the occurrence of cyanobacterial blooms in Lake Talhu. In addition, phytoplankton composition and photosynthesis efficiency were also affected by altering the shading ratios, and in turn, they might also act on phytoplankton growth. Based on the results from the present study, intermediate shading strategies such as regulation of water level or turbidity through the hydrology regulations would probably be an effective and efficient method in controlling cyanobacterial blooms in large and shallow lakes.     

Environmental factors influencing cyanobacteria community structure in Dongping Lake, China

The present study was conducted to provide a detailed understanding of the variation in cyanobacterial communities of Dongping Lake, which is the final water volume adjusting and storing lake in the east route of the South-to-North Water Diversion Project in China. The spatial and temporal distribution of cyanobacteria was assessed from May 2010 to October 2012 based on monthly samples collected from three stations. Over the 30-month survey, 15 genera and 25 species of cyanobacteria were identified, with cyanobacterial abundance at each monitoring station ranging from undetected to 3.04×107 cells/L, average of 4.27×106 cells/L. The dominant cyanobacterial species were Pseudanabaena limnetica and Aphanizomenon issatschenkoi and not the usual bloom-forming genera such as Microcystis and Anabaena. Cyanobacterial community structure and water quality variables exhibited substantial changes over the period of survey. Redundancy analysis, Pearson correlations, and regression analysis were applied to analyze the relationships among the variables. The results suggested that temperature and chemical oxygen demand were key drivers of the cyanobacterial community composition in Dongping Lake. In addition, the concentration of inorganic nitrogen in the lake had a profound efect on the cyanobacterial abundance as a non-limiting factor in warm periods.     

Modelling the thresholds of nitrogen/phosphorus concentration and hydraulic retention time for bloom control in reclaimed water landscape

● A new model for bloom control in open land scape water was constructed. ● It considers the effects of temperature and light on algae growth. ● It describes threshold curve of nitrogen, phosp horus and hydraulic retention time. ● Light and temperature dependent growth para meters of typical algae were obtained. The risks posed by algal blooms caused by nitrogen and phosphorus in reclaimed water used in urban water landscapes need to be carefully controlled. In this study, the combined effects of the nitrogen and phosphorus concentrations and the light intensity and temperature on the specific growth rates of algae were determined using Monod, Steele, and Arrhenius models, then an integrated algal growth model was developed. The algae biomass, nitrogen concentration, and phosphorus concentration mass balance equations were used to establish a new control model describing the nitrogen and phosphorus concentration and hydraulic retention time thresholds for algal blooms. The model parameters were determined by fitting the models to data acquired experimentally. Finally, the control model and numerical simulations for six typical algae and mixed algae under standard conditions were used to determine nitrogen/phosphorus concentration and hydraulic retention time thresholds for landscape water to which reclaimed water is supplied (i.e., for a reclaimed water landscape).     

HA1絮凝剂在供水水库水华应急处理中的应用研究

2006-04华南一座供水水库发生卷曲鱼腥藻（Anabaena circinalis）水华,供水口形成藻细胞的堆积,浮游植物、蓝藻、卷曲鱼腥藻（Anabaena circinalis）的细胞密度分别高达7.3×10⁷、7.2×10⁷、4.1×10⁷ cells·L^-1.为保障正常供水,于04-22～04-30用小孔径的网和防水膜对供水口进行区域分隔,改变水流方向,同时在水面喷射以铁盐为核心的HA1絮凝剂控制水华.处理第1 d,浮游植物、蓝藻、卷曲鱼腥藻（Anabaena circinalis）的细胞密度分别降至5.3×10⁶、4.7×10⁶、2×10⁶ cells·L^-1,去除率分别达到93%、94%和95%.处理期间,藻细胞密度平均为1.2×10⁷ cells·L^-1,最高不超过2.0×10⁷ cells·L^-1,不同藻类门的处理效果不同,蓝藻的数量大幅度下降,绿藻、硅藻的种类和数量略有增加,说明HA1絮凝剂在本次应急处理方案中对蓝藻具有较好的去除效果.     

赤潮对近岸水体生物光学特性的影响

研究了赤潮对近岸水体生物光学特性的影响.从大连湾采集11个站位的水体生物光学数据,分析了赤潮发生时生物要素、反射光谱以及吸收光谱的变化特征.结果表明,大连湾本次赤潮由微微型藻类引起;赤潮对水体遥感反射率的光谱形状影响明显,与正常水体相比,由于高浓度叶绿素a的强吸收作用,导致440、632 nm波段附近出现反射谷,红光波...     

加拿大一枝黄花提取物对铜绿微囊藻的抑制作用

研究加拿大一枝黄花提取物对铜绿微囊藻的抑制效果,采用两种不同的有机溶剂(水、乙酸乙酯)及水蒸气蒸馏法(挥发油成分)提取加拿大一枝黄花中的抑藻活性物质并进行抑藻试验研究。结果表明三种提取物对铜绿微囊藻均具有较强的抑制作用,在试验设定浓度下,水浸提物在30 g/L时具有最高抑藻率89.89%,乙酸乙酯提取物在浓度为8 g/L时即达到60.88%的抑藻率,而挥发油成分在浓度为10 g/L时有最高抑藻率45.11%。研究表明,加拿大一枝黄花具有抑藻效果,其中乙酸乙酯提取物抑制效果最好,具有应用于水体富营养化的治理和开发新型抑藻剂的潜力。     

赤潮期东海水体不同遥感分类算法应用分析

对赤潮期长江口及邻近东海海域水体进行了三种不同遥感分类方法的水体类别提取。首先进行了最大似然监督法和ISODATA非监督法两种代表性的水体遥感分类,之后提出了两种基于水体光谱曲线特征的波段比值阈值分割模型,即C1=Lrs(645)/Lrs(469)和C2=Lrs(555)/Lrs(469)。对比发现,三种方法分类结果均揭示出了长江口及邻近东海海域近岸到远洋的水体空间变化规律,依次为悬浮泥沙水体、富营养化水体、赤潮水体、赤潮边界水体和远洋洁净水体。其中最大似然监督法对像元亮度值较为均一的悬沙水体和富营养化水体提取精度较高。而ISODATA分类结果误判较严重,可以作为辅助判别依据。本文提出的阈值分割模型1对悬浮泥沙水体更为有效,总体精度为91.34%,Kappa系数为0.88;模型2对赤潮水体更有效,总体精度为94.14%,Kappa系数为0.92,精度均高于前两种方法。     

洪泽湖有毒和无毒微囊藻丰度及其与环境因子之间的相关分析

为了解洪泽湖有毒和无毒微囊藻丰度及其空间分布,于2014年8月对洪泽湖30个采样点水体的营养盐浓度和Calson富营养化指数(trophic state index,TSI)进行研究,同时采用实时荧光定量PCR技术测定了有毒和无毒微囊藻丰度.结果表明,洪泽湖水体的总氮和总磷浓度平均值分别为1.63 mg·L-1和0.11 mg·L-1,富营养化指数在58.1~73.6之间,洪泽湖水质呈富营养化状态;有毒微囊藻在洪泽湖广泛分布,其丰度在1.13×104~3.51×106copies·m L-1之间,总微囊藻丰度在1.06×105~1.10×107copies·m L-1之间,有毒微囊藻占总微囊藻的比例在8.5%~38.5%之间,平均值为23.6%,有毒微囊藻丰度及其比例均呈现出明显的空间差异性;相关分析结果显示,总微囊藻、有毒微囊藻和有毒微囊藻所占比例三者之间呈极显著正相关性(P0.01),总微囊藻和有毒微囊藻丰度与叶绿素a浓度和TSI有极显著正相关性(P0.01),与透明度有极显著负相关性(P0.01),有毒微囊藻所占比例与叶绿素a、总氮、总磷和TSI有极显著正相关性(P0.01),与TN/TP和透明度有极显著负相关(P0.01).因此,削减洪泽湖总氮、总磷浓度一方面可以降低水体富营养化水平,另一方面有利于抑制有毒微囊藻对无毒微囊藻的竞争优势.     

数据缺失条件下基于MLP神经网络的水华风险预警方法研究

针对水华风险预警过程中相关监测指标数据缺失的问题,借鉴多元统计和随机分析构建了一种缺失数据插补方法,用于弥补现场调查数据的不足.基于主成分分析,对水华相关影响指标进行降维,确定水体水华风险预警模型的输入层变量.同时,采用多层感知器(MLP)人工神经网络模型对水华表征指标叶绿素a的浓度进行预测,并引入风险概率的概念,提出了水华风险概率计算公式,完善了水华预警的风险表达.最后以三峡库区典型支流大宁河为案例的研究证明了上述方法的可操作性.研究结果显示,插补数据条件下和未插补数据条件下的大宁河水华风险预警模型决定系数分别为0.9711和0.7769,前者的模型准确性更高,叶绿素a浓度预测效果更好;预测时段内大宁河11 d为水华蓝色预警(无警)级别,水华发生的风险概率为1.99%~18.61%;1 d达到水华橙色预警(中警)级别,水华发生概率为90.48%.     

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.