塔山水库蓝藻暴水的成因及控制

简述了塔山水库蓝藻暴发的过程及成因。指出，由于水库的营养物质增多、水质恶化，在不利的水文、气象（高温、光照充足、微风）等条件下，导致蓝藻暴发。提出了相应的控制对策。     

海河流域东北部地表水水源地藻类及代谢物研究

同时对海河流域东北部6个水库型地表水水源地开展了藻类及微囊藻毒素(MC-LR和MC-RR)相关研究工作。研究结果表明:海河流域东北部6个水库型地表水水源地中水体富营养化程度有明显改善,但于桥水库、洋河水库水体仍呈富营养化状态并检出MC-LR和MC-RR。另外,富营养化程度高的水体中蓝藻占明显优势,并且微囊藻毒素浓度与其成正相关关系。虽然检出的MC-RR和MC-LR浓度均低于《生活饮用水卫生规范》标准限制,但是在蓝藻暴发期间(特别是暴发后期)应加密监测,确保微囊藻毒素浓度不会对供水人群健康造成危害。     

韶关市3座供水水库蓝藻种群及微囊藻毒素的季节变化

为了解供水水库的蓝藻种群和微囊藻毒素的季节变化,于2012年1—12月对韶关的苍村、瀑布和花山3座供水水库进行了采样分析。结果表明,3座水库为中营养型水库,监测蓝藻共9属(种),优势种为鱼腥藻和微囊藻,蓝藻最高丰度为5.67×107L-1;降水导致营养盐物质带入水库和水体不稳定性是蓝藻种群和优势种在夏秋两季季节变化和占优势的主要影响因子。3座水库ρ(微囊藻毒素)为0.1~0.9μg/L,最高值接近世界卫生组织对饮用水中MC-LR的指导性限制值(1μg/L)标准。微囊藻与微囊藻毒素呈显著正相关性(R=0.871,P0.01),表明产微囊藻毒素的蓝藻主要为微囊藻,当水库发生微囊藻水华时有发生微囊藻毒素的风险。     

基于qPCR和16S rDNA高通量测序研究蓝藻暴发期间太湖竺山湾水体浮游细菌群落

为了探究浮游细菌和蓝藻暴发之间的关系,利用实时荧光定量PCR和高通量测序技术,对夏季蓝藻暴发期间太湖竺山湾表层水和底泥中浮游细菌群落结构和多样性进行研究。结果表明,从门水平来看,水样和底泥中平均相对丰度最高的为变形菌门,放线菌门次之,此外蓝藻门也有一定的比例,可为水华暴发提供预警指示;从属水平来看,水样中的优势细菌主要为GpXI和GpIIa,底泥中为Gp6和GpIIa。     

于桥水库浮游植物群落特征

于桥水库是天津市惟一饮用水水源地,为了研究该水库浮游植物群落特征,于2012年春、夏、秋对于桥水库浮游植物进行了监测分析。结果表明:该水库共鉴定出绿藻(Chlorophyta)、蓝藻(Cyanophyta)、硅藻(Diatoms)、裸藻(Euglenophyta)、甲藻(Pyrrophyta)、隐藻(Cryptophyta)和黄藻(Xanthophyta)7门114种,群落组成以绿藻-硅藻门为主;浮游植物细胞密度具有明显的季节变化规律,表现为春季较低,夏季急剧增长,到了秋季又有所回落。优势种对于桥水库水质的评价结果表明,春季为中营养水体,夏季为富营养化水体,秋季为中富营养水体。春、夏、秋季于桥水库香农-韦弗多样性指数平均值分别为3.22、2.51和3.17,说明2012年于桥水库春季、秋季为贫营养水体,夏季为中营养水体,且有暴发水华的危险。     

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。     

环境一号卫星多光谱数据在巢湖蓝藻动态监测中的应用

采用环境一号卫星(HJ1A/1B)的多光谱(CCD)数据,通过影像预处理提取巢湖湖域蓝藻的归一化植被指数(NDVI),对巢湖湖域的蓝藻进行动态遥感监测,在GIS平台上计算蓝藻在研究时段内的平均空间分布、模拟其变化趋势及平均改善速度,结果表明,HJ1A/1B-CCD影像数据具有较高时空分辨率,对巢湖湖域蓝藻的识别能力强;巢湖湖域生态环境总体较好,蓝藻只是在局部湖域暴发,其中蓝藻极高密度区、高密度区呈团状、片状,主要集中分布在巢湖西湖区北部沿岸,并且为楔形向中心延伸;巢湖蓝藻暴发的湖域总体呈现改善趋势,但各区改善的程度、速度差异较大,原因复杂,尤其是西湖区北部沿岸不仅改善速度缓、改善程度不佳,甚至出现退化;巢湖西区应以治理为主、监测为重,东区则以着重监测。     

江苏省太湖应急防控形势及对策体系研究

对2008年-2010年来太湖水质状况、蓝藻暴发状况及影响因素、湖泛发生状况及成因、蓝藻生长对湖体水质的影响、蓝藻与湖泛对饮用水安全影响进行了研究.简述了环保、建设、水利、气象、中科院南京地理与湖泊研究所等部门和单位,在监测预警、供水保障、调水引流、打捞蓝藻、生态清淤、控源截污、人工增雨、统筹协调等方面团结协作、多措并...     

湖泊蓝藻水华监测与评价探讨

以长期的湖泊蓝藻监测实践工作为基础，提出了湖泊蓝藻水华监测的点位布设、采样（频次、层次、采集量等）、分析鉴定等技术方法，以太湖为例，在对近几年蓝藻水华暴发情况进行统计分析基础上，制定了蓝藻水华状况的定性描述、蓝藻水华暴发的等级划分标准。     

密云水库浮游藻类和细菌污染现状及趋势分析

为评价密云水库水体富营养化的现状及发展趋势,在水库水面不同方位和不同水深分别布点采样,对水库水质的浮游藻类群落结构、密度和卫生学性状进行了初步监测和评价。结果显示,水体浮游藻类总量有增加趋势,但主要群落结构变化不大,仍以绿藻-硅藻型为主;但蓝藻的比例随水温的增加显著;各项卫生学指标基本在正常范围;同时发现其内湖的蓝藻污染较为严重,对大库区水质形成潜在威胁,应予重视。     

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。     

自动监测预警太湖蓝藻爆发规律研究

以太湖湖体中沙渚、兰山嘴两个自动站的监测数据为基础,分析了太湖蓝藻爆发过程中主要水质指标变化情况。研究结果表明,蓝藻引发灾害性湖泛现象的主要过程分为生长期、平稳期、死亡期、高危前期、灾害期和恢复期,在高危前期和灾害期,溶解氧(DO)快速下降,而总氮(TN)等参数的变化正好与DO变化相反,这一显著特征可作为预警的重要信息。     

蘑菇湖水库浮游植物与富营养化关系初探

根据在蘑菇湖一个水文年度进行的7次调查结果,研究了蘑菇湖浮游植物群落生态学的主要变化(包括数量、种类组成、优势种类、季节变化、多样性指数和初级生产力),年平均总数为1138万个/升,年数量变动曲线为夏季的一个蓝藻高峰,而且数量大,延续时间长,冬季以蓝藻和绿藻占优势,夏季转为以蓝藻、硅藻占优势。结果表明,蘑菇湖的富营养化现象在调查的14个月中都存在。     

Monitoring the Trihalomethanes Present in Water After Treatment with Chlorine Under Laboratory Condition

In this work assays involving chlorinated water samples, which were previous spiked with humic substances or algae blue green and following the production of the THMs for 30 days is described. To implement the assays, five portions of 1,000 ml of water were stored in glass bottles. The water samples were treated with solutions containing 2, 3, 4 and 5 mg l⁻¹ chlorine. The samples aliquots (60 ml) were transferred into the glass vials, 10 ml were removed to have a headspace and 100 μl of the 10 mg l⁻¹ pentafluortoluene bromide solution was added to each vial. The extraction step was performed by adding 10 g of Na₂SO₄ followed by 5 ml of n-pentane. The vials were stopped with a TFE-faced septum and sealed with aluminum caps. The generated THMs were determined by gas chromatography with electron capture detector using reference solutions with concentration ranging from 8 to 120 μg l⁻¹ THMs. Three assays were monitored during 30 days and chloroform was the predominant compound found in the water samples, while other species of THMs were not detected. The results showed that when the chlorine concentration was increased in water samples containing algae the concentration of THM varied randomly. Nevertheless, in water samples containing humic substances the increase of the THM concentration presented a relationship with the chlorine concentration. It was also observed that chloroform concentration increased with the elapsed time up to one and six days to water samples spiked with humic substances and algae blue green, respectively and decreased along 30 days. By other hand, assays performed using water samples containing decanted algae material showed that THM was not generated by the chlorine addition.     

太湖梅梁湾水环境监控预警体系研究

从水质预警站、实验室深度分析和蓝藻遥感监测等技术集成，监控预警模型构建，监控预警体系建立，应急响应工作 机制等方面介绍了太湖梅梁湾水环境监控预警系统的研究，为太湖流域水环境监控预警提供示范。     

不同水动力条件对景观水体富营养化模拟过程中藻类演替的影响

采用微宇宙培养法,分析了不同水动力条件(不循环、水循环和泥循环)对微污染景观水体富营养化模拟过程中藻类演替的影响.结果表明,水循环和泥循环使得水体的TP值前期增加后期减少,前期藻类生长主要受TP影响,而后期浊度成了重要的影响因素;水循环引起的TP值减少及蓝藻聚集状态的破坏,导致了藻类的生长明显减缓,但优势种的演化过程却...     

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     

The Blue Green Algal Bloom in the Nearshore Waters of Cukai Bay Facing the South China Sea

Since the early 1990's, large areas of mangrove forest along the nearshore waters of Cukai bay had been cleared to give way for the development of aquaculture activities, human settlement and setting up of new small scale fish processing industries. The Cukai bay, facing the South China Sea, has inflows from the Cukai river estuaries and other numerous small river tributaries. The water quality examined (April 1993 to March 1994) in the bay indicated that the ammonium, nitrate and phosphorus contents were high during the pre-wet monsoon (October 1993) with values of 28.2, 30.1 and 29.6 g L^-1, respectively. The source of nutrients in the estuary were from the newly established fish processing cottage industries, nearby fish culture activities, agro-based effluents (mainly fertilisers from surrounding paddy plantations), untreated human (from nearby villages) and animal wastes (from domestic cattle and goat farms) and siltation due to erosion from land development. The main bulk of the microplankton were comprised of diatoms, dinoflagellates, ciliophora and blue green algae. The blue green algae encountered were species of Lyngbya, Oscillatoria, Phormodium and Trichodesmium while those of diatom were species of Asterionella, Chaetoceros, Coscinodiscus, Navicula and Nitzschia. Peak microplankton production in the water column occurred in October 1993, reaching a maximum value of 173 g C L^-1 d^-1. This comprised primarily of the blue green alga, Trichodesmium thiebautii.     

淮河流域淮安段着生藻类群落结构特征分析

于2021年5月对淮安境内淮河主要干支流8个点位的水质状况和着生藻类群落结构采样调查，应用3种多样性指数模型评价区域水生态健康状况，并探究影响着生藻类多样性的因素。结果表明：采样期间淮河流域淮安市域共检出着生藻类3门23科32属（种），由硅藻门、蓝藻门和绿藻门组成，硅藻门占绝对优势；多样性指数计算结果显示，流域水生态状况良好，整体表现为清洁-轻污型水体，淮河上游水质稍差于其他水域；结合水质监测数据与卫星遥感影像分析，认为生境状况是影响着生藻类群落分布的主要因素。     

Influence of lake morphology on water quality

Lakes are seriously affected due to urban pollution. The study of the morphological features of a lake system helps to identify its environmental status. The objective of the present study is to analyse the influence of morphometry on water quality in a lake (Akkulam-Veli Lake, Thiruvananthapuram, Kerala). The morphological features namely mean depth, surface area, volume, shoreline length, shoreline development and index of basin permanence have been evaluated. Correlation analysis has been conducted to determine the relationship between morphological features and water quality. Regression analysis has been conducted to find out the extent of influence of morphometric features on water quality. The study revealed that the lake is less affected by wind-induced wave action due to various reasons. The depth and volume have significant role in the water quality. The nitrogen fixation of blue green algae can be observed from the morphological features. The morphology has greater role in the water quality of a lake system.