超声波和改性粘土集成技术在去除蓝藻水华上的应用

近年来,改性粘土除藻技术广泛应用于"水华"的治理当中,其原理是藻类与改性粘土絮凝后自然沉降.通过对铜绿微囊藻(Microcystis aeruginosa)、集胞藻(Synechocystis sp.)和小球藻(Chlorella vulgaris)的絮凝比较,发现具气囊的铜绿微囊藻比其他两种藻发生再悬浮的幅度更大,次数更多.针对我国的水华藻类是以微囊藻(Microcystis sp.)等为主的情况,研究超声波和改性粘土集成技术对藻类的去除效果.结果表明,超声波和改性粘土集成技术能将藻类去除率明显提高,该法的絮体稳定性比单一絮凝法明显增强,且对群体形态的藻的去除率提升效果更好.另外,在40kHz、160W超声辐照下,铜绿微囊藻的气囊去除率在95%以上,但细胞壁保持完好,细胞活性不变,藻毒素不会因细胞破裂而释放,因此超声波和改性粘土集成方法,是治理我国蓝藻水华的有效方法.     

汾河太原河段水华藻类分类及分子系统研究

2012-2016年,每年的春、夏、秋季对汾河太原河段进行浮游植物样品采集.通过对样品的形态观察和描述,共鉴定出5种水华优势种,5月发生的裸藻水华优势种为裸藻属的膝曲裸藻(Euglena geniculata)和血红裸藻(E.sanguinea).而7-9月发生的微囊藻水华优势种为微囊藻属的铜绿微囊藻(Microcystis aeruginosa)、挪氏微囊藻(M.novacekii)和惠氏微囊藻(M.wesenbergii).分离纯化共得到11株单克隆水华藻,其中铜绿微囊藻8株,挪氏微囊藻2株,血红裸藻1株.运用cpcBA-IGS、gyrB和cpSSU基因序列构建分子系统发育树,进一步确定水华藻的系统分类地位,结果表明cpcBA-IGS是研究汾河太原河段铜绿微囊藻分类很好的分子标记,而cpSSU基因可很好地区分血红裸藻和其他裸藻种.     

基于水华蓝藻固有光学特性的主要类群定量识别方法

蓝藻水华是湖泊水体富营养化的重要特征之一,不同水华蓝藻类群形成的水华特征、危害及其治理方法差异显著.因此,如何快速、准确地掌握不同蓝藻类群的时空分布特征成为实施富营养化湖泊污染治理与生态恢复、蓝藻生态灾害预测预警中一个亟待解决的科学问题.本研究基于纯藻种实验室培养和室内光学控制实验,在微囊藻(Microcystis)、鱼腥藻(Dolichospermum)、束丝藻(Aphanizomenon)3种主要水华蓝藻固有光学特性的基础上,通过甄别不同水华蓝藻的吸收、散射和后向散射光谱的特征波段,构建了基于吸收和散射特性的5种水华蓝藻类群的非线性最优化定量识别模型,其中,基于440、620和675 nm 3个波段吸收的a-CIM 440,620,675具有较为稳定的定量识别能力;并基于野外实测光学特性数据,实现了巢湖主要水华蓝藻类群的定量监测,初步分析了巢湖主要水华蓝藻类群的时空分布特性.研究表明,巢湖的水华蓝藻以鱼腥藻、微囊藻为主,束丝藻较少,鱼腥藻主要出现在温度较低的季节,微囊藻在夏季的西部湖区占优势;巢湖水华主要为微囊藻藻华和鱼腥藻藻华,且浓度较高的蓝藻主要存在于水体表面以下20 cm范围内;微囊藻和鱼腥藻在非藻华断面垂向上均匀分布.本研究可为富营养化湖泊蓝藻水华预测预警以及相关管理部门决策提供重要的理论依据和科学支撑.     

若干水华相关藻类对太湖水体异味物质贡献的初步研究

太湖水体中嗅味物质2-甲基异莰醇(MIB)和土臭素(Geo)的出现与水华发生在时间上高度重叠,为探寻水华中常见藻类与嗅味的关系,本研究通过对实验室培养藻株和野外水样比较分析,探寻了部分藻株与太湖水体嗅味物质的关系.分析实验室培养的15株蓝藻(其中11株微囊藻)、4株绿藻和4株硅藻,仅硅藻培养物测定出了Geo,所有藻株均未检测出MIB;对太湖典型水样分析结果显示,水体中MIB与Geo的浓度与微囊藻细胞浓度无相关性;实验室模拟微囊藻水华腐败结果显示,无论是好氧还是厌氧条件下均未产生MIB和Geo;这些数据结果说明湖水中MIB和Geo与水华主要种群微囊藻无直接关系.在鱼腥藻水华中测出了高浓度的MIB,周年水样分析结果显示鱼腥藻细胞数与MIB浓度变化规律一致,因此鱼腥藻可能是MIB的重要来源.但实验室培养的Anabaena sp.PCC7120无论是在缺氮还是有氮培养条件下均不产MIB和Geo,说明嗅味物质的产生具有藻株特异性.     

河蟹养殖池塘微囊藻水华毒性及其光合作用活性特征

苏州市吴中区一河蟹养殖池塘在2013年7月和8月发生了严重的微囊藻水华.采用单一和双重PCR扩增微囊藻毒素合成酶基因,用以检测微囊藻水华是否产毒,结果显示为阳性.同时,采用高效液相色谱测定微囊藻水华的毒性大小.结果表明:7月和8月微囊藻水华的胞内微囊藻毒素浓度分别为1.49和0.88μg/L,胞外微囊藻毒素的浓度分别为0.75和1.09μg/L.另外,采用浮游植物荧光仪Phyto-PAM测定河蟹养殖水体形成水华的微囊藻的光合作用活性.结果显示:7月和8月水华微囊藻的最大光量子产量Fv/Fm分别为0.48和0.44,实际光量子产量ΦPSII分别为0.38和0.32,表明形成水华的微囊藻有较高的生长潜力.非光化学荧光淬灭值NPQ分别为0.28和0.36.从快速光响应曲线RLC的特征参数来看,7月水华微囊藻的光合作用活性和光能利用效率高于8月.本研究结果表明,河蟹养殖池塘水体受到微囊藻水华和微囊藻毒素的污染,进而可能对河蟹食品安全构成潜在威胁.     

铜绿微囊藻(Microcystis aeruginosa)与三种丝状蓝藻间的相互作用

研究了单细胞铜绿微囊藻和三种丝状蓝藻（水华束丝藻、水华鱼腥藻及土生席藻）间的相互作用,包括以下两个方面的内容：①铜绿微囊藻细胞滤出液对水华束丝藻、水华鱼腥藻及土生席藻生长的影响;②水华束丝藻、水华鱼腥藻及土生席藻细胞滤出液对铜绿微囊藻生长的影响．研究发现,当滤出液浓度为60％（滤出液与BG11的体积比为3：2）时,铜绿微囊藻细胞滤出液对水华束丝藻、水华鱼腥藻的生长有显著促进效果,尤其对水华束丝藻的作用更加明显;对土生席藻的生长却起着微弱的抑制作用,仅表现于100％细胞滤出液中．对铜绿微囊藻而言,土生席藻细胞滤出液对其的生长起着显著抑制作用,浓度越高、抑制作用越强;而水华束丝藻、水华鱼腥藻仅在100％细胞滤出液中才表现出微弱的抑制作用．为验证营养盐浓度差异是否影响滤出液的作用效果,进行了无机营养盐（NO3-N、NH4^＋-N、PO4-P）干扰的消除试验．结果表明,无机营养盐（（NO3-N、NH4^＋-N、PO4-P）的改变并不影响滤出液的作用效果,从而我们推测水华蓝藻之间存在着化感作用．本研究为解释自然水体中藻类种群演替的原因,深入认识水华蓝藻的动力学机制提供了新的实验证据．     

光照强度对水华微囊藻(Microcystis flos-aquae)群体大小增长的影响

大量微囊藻群体的形成和聚集是微囊藻水华形成的重要条件.光照强度是影响微囊藻生长的重要因素之一.为了了解光照强度对水华微囊藻(Microcystis flos-aquae)群体大小增长的影响,以太湖微囊藻水华优势种之一的水华微囊藻作为研究对象,开展了不同光照强度对水华微囊藻群体大小增长的影响研究.共设置5个不同光强处理组,依次为G1:2000 lx;G2:4000 lx;G3:8000 lx;G4:16000 lx;G5:变化光照强度(模拟野外光强).实验期间,G1~G5组大于100细胞群体的平均大小分别为255、480、630、763和662 cells/群体.胞外多糖含量分析显示水华微囊藻形成的群体越大,胞外多糖含量越高.结果表明,低光照强度不利于太湖水华微囊藻群体大小的增长,而变化光照强度和高光照强度有利于水华微囊藻群体大小的增长.研究结果解释了太湖夏季野外变化光照强度和高光照强度有利于微囊藻水华形成的原因.     

温度对铜绿微囊藻(Microcystis aeruginosa)和鱼腥藻(Anabaena sp.)生长及胞外有机物产生的影响

以巢湖优势种铜绿微囊藻(Microcystis aeruginosa)和鱼腥藻(Anabaena sp.)为研究对象,研究不同温度(35、25和10℃)对这两种藻生长特性和胞外有机物产生的影响.结果表明,温度对铜绿微囊藻和鱼腥藻的藻细胞密度、碱性磷酸酶活性和胞外有机物浓度影响显著.25℃是铜绿微囊藻和鱼腥藻最适宜的生长温度,最高细胞密度分别达到3.12×107cells/ml和2.03×107 cells/ml.不同温度下两种藻的碱性磷酸酶活性特征,证实了高温对鱼腥藻生长的抑制和低温对铜绿微囊藻生长的抑制.胞外有机物释放总量受蓝藻生物量和单位细胞有机物释放速率的影响.铜绿微囊藻的溶解性有机碳和胞外总多糖释放量在25℃最高,最大值分别为49.28和38.46 mg/L;而鱼腥藻在35℃时释放量最高,最大值分别为45.82和40.60 mg/L;10℃条件抑制了两种藻的生长及胞外有机物的释放.鱼腥藻胞外多糖含量在35℃培养条件下最高,而铜绿微囊藻在10℃条件下最高,说明不利的生长条件会促进蓝藻胞外多糖的分泌.三维荧光图谱分析结果表明,铜绿微囊藻和鱼腥藻胞外有机物以类蛋白质和类腐殖酸为主,温度主要影响藻细胞胞外有机物浓度,而对有机物种类组成没有影响.     

水华微囊藻(Microcystis flos-aquae)生长周期中腐殖酸的释放特性

由于严重的水体富营养化,太湖长期暴发蓝藻水华,这些蓝藻在代谢及消亡过程中大量释放包括腐植酸在内的有机物,不仅影响供水水质,并且进一步加重了水华程度.以太湖水华优势藻种——水华微囊藻(Microcystis flos-aquae T34)为研究对象,对藻株生长周期中的藻细胞、浮游细菌进行计数,并使用TOC仪与三维荧光光谱对培养液中提取的腐殖酸进行定量与定性分析,探究水华微囊藻在生长过程中藻细胞密度、浮游细菌密度与腐殖酸浓度的变化规律.结果表明,培养液中腐殖酸浓度的变化趋势与细菌数量变化趋势一致,但与细菌数量曲线拐点相比,腐殖酸浓度曲线拐点出现两周的延迟.腐殖酸产量在藻细胞对数期较低,当水华微囊藻进入稳定期与衰亡期后,腐殖酸大量产生,其浓度迅速增加,最高可达到28.6 mg/L.根据三维荧光光谱分析,水华微囊藻所产生的腐殖酸特征峰出现在(235~245 nm)/(380~425 nm),属于类富里酸荧光峰.本研究初步探究蓝藻与水体腐殖酸之间的关系,为水体腐殖酸来源的研究提供了新的思路.     

微囊藻(FACHB-905)和鱼腥藻(FACHB-82)响应温度变化的功能特性权衡

微囊藻和鱼腥藻是水华蓝藻的两个主要类群,两种藻均可调节自身形态及生理特性来维持快速生长,这也是两个类群蓝藻水华维持的基础.本研究分析了微囊藻(FACHB-905)和鱼腥藻(FACHB-82)生长、形态及叶绿素荧光参数对温度变化的响应,以及生长与特性间的权衡关系.结果显示:该微囊藻细胞直径随温度升高而降低,但是比增长速率维持稳定,表明在高温条件下,其可能通过减小细胞大小的方式维持比增长速率;该鱼腥藻在不同温度下,平均细胞直径和藻丝长度呈现显著变化,高温条件下,其维持较高的比增长速率,但是细胞直径增大,藻丝长度缩短,这可能是其调节自身形态以维持较高比增长速率的方式.该微囊藻和鱼腥藻分别在细胞较大和较小时,藻细胞潜在的光化学效率更高.本研究表明这两种蓝藻可以通过权衡藻细胞形态、生理特性两者与生长速率之间的关系来适应温度的变化以达到自身最佳的生长状态,微囊藻(FACHB-905)通过调节细胞大小和光合活性来维持生长优势,而鱼腥藻(FACHB-82)则通过细胞大小、藻丝长度和光合活性的调节来维持生长优势.本研究的结果有助于提升对于水华蓝藻生长维持机制的认识.     

SCIENCE CHINA Earth Sciences SUBJECT INDEX TO VOLUME 57(2014)

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Distribution of throughfall and stemflow in multi‐strata agroforestry,perennial monoculture,fallow and primary forest in central Amazonia,Brazil

The partitioning of rain water into throughfall, stemflow and interception loss when passing through plant canopies depends on properties of the respective plant species, such as leaf area and branch angles. In heterogeneous vegetation, such as tropical forest or polycultural systems, the presence of different plant species may consequently result in a mosaic of situations with respect to quantity and quality of water inputs into the soil. As these processes influence not only the water availability for the plants, but also water infiltration and nutrient leaching, the understanding of plant effects on the repartitioning of rain water may help in the optimization of land use systems and management practices. We measured throughfall and stemflow in a perennial polyculture (multi‐strata agroforestry), monocultures of peach palm (Bactris gasipaes) for fruit and for palmito, a monoculture of cupuaçu (Theobroma grandiflorum), spontaneous fallow and primary forest during one year in central Amazonia, Brazil. The effect on rain water partitioning was measured separately for four useful tree species in the polyculture and for two tree species in the primary forest. Throughfall at two stem distances, and stemflow, differed significantly between tree species, resulting in pronounced spatial patterns of water input into the soil in the polyculture system. For two tree species, peach palm for fruit (Bactris gasipaes) and Brazil nut trees (Bertholletia excelsa), the water input into the soil near the stem was significantly higher than the open‐area rainfall. This could lead to increased nutrient leaching when fertilizer is applied close to the stem of these trees. In the primary forest, such spatial patterns could also be detected, with significantly higher water input near a palm (Oenocarpus bacaba) than near a dicotyledonous tree species (Eschweilera sp.). Interception losses were 6·4% in the polyculture, 13·9 and 12·3% in the peach palm monocultures for fruit and for palmito, respectively, 0·5% in the cupuaçu monoculture and 3·1% in the fallow. With more than 20% of the open‐area rainfall, the highest stemflow contributions to the water input into the soil were measured in the palm monocultures and in the fallow. Copyright © 1999 John Wiley & Sons, Ltd.     

A Monte Carlo study of rainfall forecasting with a stochastic model

A procedure for short-term rainfall forecasting in real-time is developed and a study of the role of sampling on forecast ability is conducted. Ground level rainfall fields are forecasted using a stochastic space-time rainfall model in state-space form. Updating of the rainfall field in real-time is accomplished using a distributed parameter Kalman filter to optimally combine measurement information and forecast model estimates. The influence of sampling density on forecast accuracy is evaluated using a series of a simulated rainfall events generated with the same stochastic rainfall model. Sampling was conducted at five different network spatial densities. The results quantify the influence of sampling network density on real-time rainfall field forecasting. Statistical analyses of the rainfall field residuals illustrate improvement in one hour lead time forecasts at higher measurement densities.     

Anthropogenic Eutrophication and Red Tide Outbreak in Lacustrine Systems of the Kashmir Himalaya

Red tide, a recurrent phenomenon has become conspicuous in several Kashmir lake ecosystems since 1991. The responsible organism (Euglena pedunculata), a rare flagellate rediscovered in the Kashmir Himalaya (Khan 1993) caused first and unprecedented red tide outbreak, constituting a maximum of 96% of resident numerical phytoplankton density in Dal Lake. At present, conflicting hypotheses exist on the generation of causal assemblage(s) imparting redness to waters: Jeeji Bai (1991) linked its origin to acid precipitation – a fallout of burning oil‐fields during the Gulf War – whilst Khan (1993) holds local factor(s) responsible. Field/experimental studies support the latter contention that the influx of untreated sewage, in unison with warm temperatures, high levels of PhAR, iron and interruption to hydrological flow‐pattern together with absence/or reduction in grazing activity created conducive environmental milieu for red tide outbreak. Dal Lake “red tide” drifted the bloom‐inoculum to other waters, including Lake Wular, where additional ecological niches were carved out, threatening the aesthetic value and biological diversity of Kashmir lakes. Ecological monitoring indicates frequent seasonal red tide occurrence in Dal Lake (including summer‐autumn event of 1998) which testifies its unabated eutrophication status. Further studies are needed on ecological adaptability and biogeographic distribution of this rare and unique red tide‐causing flagellate.