玄武湖蓝藻水华成因探讨

为了解南京玄武湖蓝藻水华的成因，对玄武湖长期监测资料进行了分析和现场调查。结果表明，玄武湖鲢鳙急剧减少中断了正常的食物链，使浮游植物的牧食压力降低，在东南湖回水的诱因作用下，发生了以微囊藻为优势种群的蓝藻水华。指出，玄武湖蓝藻水华的发生进程表明，东南湖回水可能是蓝藻水华发生的诱因，生态失衡是蓝藻水华发生的主要原因，蓝藻水华的暴发与富营养化程度无显著相关性，其暴发加重了玄武湖富营养化程度。     

淡水水体中微囊藻毒素的监测技术

随着水体富营养化的日益加剧 ,有毒蓝藻水华在世界范围内频繁发生。有毒蓝藻产生的毒素对人类和动物有潜在的危害 ,迫切要求对水体中特别是饮用水源中的蓝藻毒素进行监测。微囊藻毒素是蓝藻产生的一类环状七肽 ,可以抑制蛋白磷酸酶 1和 2 A。微量微囊藻毒素还促进肿瘤的发生。简要介绍了近年来发展起来的几类微囊藻毒素监测技术 ,以期引起有关部门的重视     

微囊藻毒素检测方法的研究进展

随着水体富营养化日益严重,有毒蓝藻水华引起的污染事件在世界范围内频繁发生,其产生的毒素对生物有潜在的危害。所以迫切需要建立一种工作原理简单易行、分析速度快、灵敏度较高的统一的检测方法,对水体中特别是饮用水源中的微囊藻毒素进行检测。文章简要介绍了近年来发展起来的几类微囊藻毒素检测技术,以及微囊藻毒素检测技术尚要解决的问题和未来的发展方向。     

荧光技术在太湖蓝藻水华预警监测中的应用

湖库蓝藻水华发生日益频繁,加强湖库饮用水水源地藻类监测,已成为环保、水务部门和学术界共同关注的课题.应用荧光技术分析了蓝藻爆发期苏州太湖三个水源地蓝藻水华的基本特征.结果表明:(1)苏州地区太湖水源地蓝藻水牛的产生主要是受水体动力和气象条件的影响;(2)建基于荧光技术的蓝藻传感器能很好地反映蓝藻水华的变化趋势;(3)荧光技术以其快速测定、可比性强和可连续跟踪监测等优点在太湖蓝藻预警监测中发挥了重要作用.     

宁波市饮用水源地爆发蓝藻水华时微囊藻毒素的污染分析

通过固相萃取净化,建立了超高效液相色谱-串联四极杆质谱法测定水中微囊藻毒素MC-LR和MC-RR的方法,并用该方法监测了宁波市两个饮用水源地爆发蓝藻水华时水体中的微囊藻毒素.监测结果表明,姚江水体中的微囊藻毒素污染水平低,MC-LR和MC-RR没有被检出;梅湖水库水体中MC-RR也未被检出,采取措施后,虽MC-LR有时被检出,但最高时也低于国家标准值(1.0μg/L).     

实时荧光定量PCR法快速测定水中微囊藻

以铜绿微囊藻（Microcystis aeruginosa）16S rRNA基因片段为靶序列设计一对特异性引物，采用Real-time PCR法，对铜绿微囊藻进行定性、定量检测。试验表明，仅含铜绿微囊藻DNA模板的样品有特异性扩增，扩增产物熔解曲线平稳，峰尖且窄，熔解温度为（87±1）℃。以重组质粒pMD-18T-16S为标准品，检测区间为1．1×102 copies/mL～1．1×108 copies/mL，所得标准曲线符合制备实时定量PCR标准曲线的要求，对标准品进行测定，方法检出限为11 copies/mL。用该标准曲线对实验室培养获得的铜绿微囊藻DNA样品进行定量检测，与显微镜计数结果基本一致。     

荧光定量PCR技术在环境领域的应用

实时荧光定量PCR技术作为一项新兴技术,越来越受到人们的重视,它以快速、准确定量、便捷等优点广泛应用于科学研究各个领域。近年来,实时荧光定量PCR技术不断发展,并应用于环境领域中,大大提高了环境监测水平。综述了实时荧光定量PCR技术的基本原理及其在国内外环境领域中的应用。     

太湖蓝藻水华预警监测综合系统的构建

近年来随着浅水型湖泊的富营养化进程不断加快,蓝藻水华暴发现象也频繁出现,采用科学、全面的手段对太湖蓝藻暴发进行预警十分必要。根据太湖蓝藻预警监测中使用的现场巡视、卫星遥感、实验室分析、自动监测等监测技术手段,分别建立各自监测系统,结合各监测系统特点和相互关系,对太湖蓝藻水华预警监测综合系统的构建进行了探讨,以期能够更好地开展太湖蓝藻水华预警监测工作,为确保太湖地区饮用水安全,提高环保部门应对太湖蓝藻水华暴发的能力,为政府决策提供技术支持和保障。     

浮游植物半定量活检法在蓝藻预警监测中的应用

通过夏季太湖梅梁湾监测点位浮游植物的定性和定量研究,提出了半定量活检的蓝藻预警监测方法.半定量活检法不但能够及时、准确地确定蓝藻水华种类,而且通过与鲁哥氏液固定法的比对实验,在确定水华优势种和优势度方面也具有较好的可靠性.     

实时荧光定量聚合酶链反应快速检测产毒铜绿微囊藻

以铜绿微囊藻(Microcystis aeruginosa)产毒株微囊藻毒素合成酶基因(mcyA)为靶序列设计了一对特异性引物,运用实时荧光定量聚合酶链反应(qPCR)方法,对铜绿微囊藻进行了定性定量检测。结果表明,仅含铜绿微囊藻脱氧核糖核酸(DNA)模板的样品有扩增,对照组小球藻(Chlorella)没有检测到扩增信号;扩增产物熔解曲线平稳,峰尖且窄,熔解温度为(83±1)℃,证明该聚合酶链反应扩增产物极为特异。以重组质粒pMD-18T-mcyA为标准品,所得标准曲线具有高度线性相关性,重复性好,符合制备实时定量聚合酶链反应标准曲线的要求。利用该方法建立的标准曲线对实验室培养获得的铜绿微囊藻DNA样品进行定量检测,与显微镜计数结果基本一致。     

太湖蓝藻水华预警监测与风速风向的关系研究

太湖蓝藻水华预警监测的启动问题基本解决，但监测响应日期和周期却一直难以确定。统计分析了太湖2007-2009年蓝藻预警监测、现场观测的历史资料，研究蓝藻水华在水体中的分布与风速风向之间的关联规律，从环境监测部门蓝藻预警监测工作的实际出发，划分出了蓝藻水华预警监测的响应级别，提出具体的监测要求，较好解决了预警监测的响应周期问题。为环太湖地区相关部门更好地开展蓝藻预警监测工作提供了科学依据。     

Detection of microcystins in Pamvotis lake water and assessment of cyanobacterial bloom toxicity

Lake Pamvotis is a shallow, eutrophic Mediterranean lake with ecological significance. This paper deals with the evaluation of cyanobacterial toxicity in Lake Pamvotis. ELISA and HPLC revealed the presence of significant amounts of MCYST-LR. Danio rerio bioassay confirmed the toxic nature of the bloom. Cyanobacterial extracts had adverse toxic effects on development of D. rerio. Also, it was shown that cyanobacterial extracts containing environmentally detected concentrations of MCYST can cause reduced survival rate of fish species. The results clearly indicate that cyanobacterial blooms in Lake Pamvotis may be regarded as human and fish health hazard. Continuous monitoring of the lake is suggested, in order to prevent future possible intoxications.     

太湖蓝藻水华时空分布与预警监测响应的分析

选择2007和2008年200幅EOS/MODIS太湖蓝藻监测遥感影像,统计分析了梅梁湾、竺山湾宜兴段、贡湖湾、东太湖胥口湾和湖州方向湖体蓝藻水华爆发的空间和时间分布规律。并在得出全太湖蓝藻水华空间和时间分布规律的基础上,从环境监测部门蓝藻预警监测工作的实际出发,将蓝藻水华预警监测的响应划分为常规监测和应急监测,提出了具体的监测要求,为环太湖地区的相关部门更好地开展蓝藻预警监测工作提供了科学依据。     

The dynamics of toxic and nontoxic Microcystis during bloom in the large shallow lake,Lake Taihu,China

Lake Taihu is a large shallow freshwater lake (surface area 2,338 km², mean depth 1.9 m) in China, which has experienced toxic cyanobacterial bloom dominated by Microcystis annually during the last few decades. In the present study, the dynamics of toxic and nontoxic Microcystis in three sampling stations (Meiliang Bay (site N2), Gonghu Bay (site N4), and the lake center area (site S4)) were quantified using quantitative real-time PCR (qPCR) during bloom periods from April to September, 2010. Our data showed that the abundance of toxic Microcystis and the toxic proportion gradually increased from April to August in water samples and reached the peak in August. During the study period, toxic Microcystis genotypes comprised between 26.2 and 64.3, between 4.4 and 22.1, and between 10.4 and 20.6 % of the total Microcystis populations in the three sampling sites, respectively. Correlation analysis suggested that there was a strong positive relationship between total Microcystis, toxic Microcystis and the toxic proportion. Chlorophyll a, total phosphorus, and water temperature were positively correlated with the abundances of total Microcystis and toxic Microcystis. Furthermore, the toxic proportion was positively correlated with total phosphorus (P?<?0.05) and water temperature (P?<?0.01), showing that global warming together with eutrophication could promote more frequent toxic blooms.     

“MMA”技术路线在太湖蓝藻水华监测中的应用

通过对3S技术整合,提出"MMA"技术路线应用于蓝藻水华监测,包括监测、测绘、分析等关键步骤。对太湖蓝藻水华研究结果表明,总体规律一致,但又有所差异。一方面,太湖蓝藻密度(CBD)、叶绿素a(Chl-a)及水华频率分布图结果均呈现"西高东低"的空间分布规律;另一方面,太湖湖心区CBD和Chl-a浓度亦较高,而遥感监测后的水华频率图显示为无水华或频率小于1%。故应参照"MMA"技术路线,综合应用3S技术,并核验比对,弥补单项技术存在的不足,全面真实反映藻类水华情况。"MMA"技术路线既适用于水华监测,亦可推广至其他环境监测工作。     

太湖水华的遥感分析

随着太湖流域的经济迅速发展,太湖湖体的富营养化程度日趋严重,特别是在20世纪的后期,水华频繁爆发。国家环保总局常规的水质监测是基于21个点位对全湖进行评价,完成一次采样耗时近1月,其对大面积水华现象的监测具有很大的局限性。文章利用遥感技术快速、大尺度、动态监测的特点,基于多个时相的TM影像对太湖的水温、悬浮物、叶绿素等水质参数的浓度和分布进行了遥感反演,进而对太湖水华的成因、发展程度、影响因素等方面进行分析,从而对太湖水华发生的特点,太湖的水质情况有一个全面的了解。     

巢湖富营养化遥感监测

以巢湖为研究区,通过对蓝藻水华暴发程度与其光谱反射率之间关系的研究,确定MOD IS遥感影像识别水华暴发级别的阈值,对4类不同暴发程度蓝藻水华光谱特征进行遥感识别;进而确立巢湖水体富营养化评价方法,建立巢湖富营养化遥感反演模型,为实时监控巢湖水质,预警蓝藻水华暴发提供技术支持。     

Monitoring of potentially toxic cyanobacteria using an online multi-probe in drinking water sources

Toxic cyanobacteria threaten the water quality of drinking water sources across the globe. Two such water bodies in Canada (a reservoir on the Yamaska River and a bay of Lake Champlain in Québec) were monitored using a YSI 6600 V2-4 (YSI, Yellow Springs, Ohio, USA) submersible multi-probe measuring in vivo phycocyanin (PC) and chlorophyll-a (Chl-a) fluorescence, pH, dissolved oxygen, conductivity, temperature, and turbidity in parallel. The linearity of the in vivo fluorescence PC and Chl-a probe measurements were validated in the laboratory with Microcystis aeruginosa (r(2) = 0.96 and r(2) = 0.82 respectively). Under environmental conditions, in vivo PC fluorescence was strongly correlated with extracted PC (r = 0.79) while in vivo Chl-a fluorescence had a weaker relationship with extracted Chl-a (r = 0.23). Multiple regression analysis revealed significant correlations between extracted Chl-a, extracted PC and cyanobacterial biovolume and in vivo fluorescence parameters measured by the sensors (i.e. turbidity and pH). This information will help water authorities select the in vivo parameters that are the most useful indicators for monitoring cyanobacteria. Despite highly toxic cyanobacterial bloom development 10 m from the drinking water treatment plant's (DWTP) intake on several sampling dates, low in vivo PC fluorescence, cyanobacterial biovolume, and microcystin concentrations were detected in the plant's untreated water. The reservoir's hydrodynamics appear to have prevented the transport of toxins and cells into the DWTP which would have deteriorated the water quality. The multi-probe readings and toxin analyses provided critical evidence that the DWTP's untreated water was unaffected by the toxic cyanobacterial blooms present in its source water.     

典型湖泊水华特征及相关影响因素分析

通过2011-2015年对太湖、巢湖和滇池水华高发季节的连续监测，以藻类密度和水华面积为判据评价了3个湖体的水华情况及变化趋势，探讨了水华发生的主要影响因素。结果表明：太湖水华程度以"轻度水华"为主，巢湖水华程度以"轻微水华"为主，滇池水华程度以"中度水华"为主；太湖、巢湖和滇池水华规模均以"零星性水华"为主；太湖和巢湖藻类密度与水温、pH、溶解氧、总氮、总磷和高锰酸盐指数均呈显著正相关，与透明度呈显著负相关，与氨氮无显著相关性；滇池藻类密度与水温、总磷和高锰酸盐指数均呈显著正相关，与透明度和氨氮呈显著负相关，与pH、溶解氧和总氮无显著相关性。