太湖北部夏季浮游藻类多样性与水质评价

于2004年7月对太湖北部浮游藻类的种群组成进行了调查,分析了藻类种属组成的空间分布,利用多种多样性评价指数对水体的污染情况进行了评价,初步探讨了太湖藻类种群组成的变化特征。太湖北部浮游藻类的密度较大,介于2.54×107～8.53×108个·L-1,主要由蓝藻、绿藻、硅藻、甲藻、裸藻和隐藻等组成,以微囊藻为优势种。自湖岸向湖心,单位体积内藻类的个数及生物量逐渐递减,种属逐渐增加。其中含较多指示污染及富营养化程度的藻类种属,各种评价指数显示水体的污染程度较为严重,属中营养—富营养化范畴。     

磷及环境因子对太湖梅梁湾藻类生长及其群落影响

在太湖梅梁湾进行的围隔试验表明,藻类生长与水华形成受气候(如水温、风浪)与营养因子(如N,P)影响。统计分析发现各点硝态氮均与叶绿素a显著负相关,在不同围隔中水温、总磷、总氮等与叶绿素a显著相关。各围隔中优势种主要为蓝藻,尤其是微囊藻类。加磷对藻类生长与群落结构均有影响,但磷营养不是目前太湖水华爆发的关键因素。     

基于藻类生长潜力评估调水对藻类生长的影响

为评估水体生态健康,量化和确定供水输入的浮游藻类群落对受水水体浮游藻类生长的影响程度具有重要意义。该研究在不同季节的调水期测定了供、受水水体的理化因子,同时利用藻类生长潜力试验比较和分析了不同比例的供、受水水体混合处理后浮游藻类细胞密度和群落结构变化。结果显示,调水期间受水水库的氮磷营养盐浓度没有显著变化(P>0.05)。不同季节的藻类生长潜力试验显示,夏、冬季处理组的浮游藻类细胞密度峰值时间比对照组提前了4 d,且密度峰值随着混合比例的提高而增大;但夏季培养末期(20 d)处理组的浮游藻类密度均低于对照组,同时夏、秋和冬季处理组的实际藻类密度峰值均低于理论估算值,分别低10%、17%～24%和31%。处理组的群落结构变化表现为夏季受水水库的绝对优势种转变为输入的优势种,秋、冬季绝对优势种的相对丰度随调水比例的提高而增加,明显受到供水优势种生长的影响。供、受水水体的营养盐浓度差异是影响藻类生长的主要因素,持续调水显著影响受水水体浮游藻类的群落结构,但在一定程度上降低了发生藻类水华的风险。     

藻类超弱发光及其光子计数率与藻类数量的关系

用高敏超弱光测量仪测得二角多甲藻(Peridinium bipes),莱因衣藻(Chlamydomonas veinhardii),纤细裸藻(Euglena gracilis)和四尾栅藻(Scenedesmus quadricauda)等四种藻类发射的自然超弱光,并求出藻类浓度(个/ml)与超弱光光子计数率(hy·min~(-1))的线性回归方程及相关系数;显着性检验表明两个计量之间的相关性是显著或是非常显著(r>r_(0.05)或r>r_(0.01))     

富硒藻类研究进展

微量元素硒不仅是人和动物必需的营养元素,也是植物生长发育不可缺少的元素。硒酸盐在水体中溶解度高于其他环境介质,导致水生生物对无机硒(硒酸盐)有更高的利用率。藻类能吸收无机硒,可将无机硒有效地转化为有机形态。藻体内的硒主要以硒蛋白、硒核酸、硒多糖等生物大分子以及硒代半胱氨酸和硒代蛋氨酸等生物小分子有机化合物存在。在水生生态系统中,藻类是硒的主要吸收者。富硒藻类通过食物链将硒传递至浮游动物、贝和鱼等动物体内,能提高其抗氧化能力,从而导致其对重金属耐受性增强。本文综述了藻类在自然界硒生物有机化中的地位和作用,藻类对硒的富集方式及代谢途径,硒在藻类中的生物学效应,富硒藻类的开发利用现状及今后的发展方向,较全面地综述了富硒藻类研究进展。     

人工湿地中试系统基质中藻类组成的研究

从2003年3月到2004年2月，在水力负荷为600mm／d的条件下研究了人工湿地中试系统（medium scale plot，MSP）基质中藻类的组成．结果表明，栅藻、小球藻、盘星藻、空星藻、纤维藻、舟行藻、小环藻、平裂藻和颤藻属的一些种类在下行池基质各层不同季节均有出现，下行池表层藻类较丰；上行池基质中不同季节的藻类组成中念珠藻和鱼腥藻均为固氮种类，菱板藻、舟行藻和卵形藻属的一些种类在上行池表层出现较多，上行池藻类组成较下行池少．本实验探讨了在人工湿地基质中存在的藻类组成，为湿地除藻机理和评估系统的稳定性提供参考．图1表2参10     

太湖不同湖区生态系统健康评价方法研究

基于长期的监测资料，计算了表征湖泊生态系统健康的系统能（Ex）、系统能结构（Exs1）和生态缓冲容量（｜β｜）指标，以及湖泊营养状态指数（Its）。结果表明，太湖不同湖区生态系统健康状况差异明显，1998-2001年太湖典型湖区健康状况由好到差的相对顺序为：东太湖、贡湖和湖心区、梅梁湾、五里湖。在此基础上，提出了富营养化浅水湖泊生态系统健康指标阈值和湖泊系统能量健康指数（IEx）及其健康状况分级。经2002、2003年太湖不同湖区实测检验表明，所提出的湖泊系统能量健康指数及其健康状况分级适用于评价太湖不同湖区生态系统健康的区域分异状况。     

藻类与有机污染物间的相互作用研究

本文就若干有机污染物对藻类的毒性效应及藻类对这些污染物的富集降解作用进行了系列研究。结果表明，不同污染物对藻类的毒性有很大差别，其中三有机锡的毒性最大。此外，不同藻类对毒物具有不同的敏感性，其中扁藻Platymonas sp.和斜生栅藻S．obliquus最敏感。藻类通过生物富集和生物降解两种途径去除水中污染物，其中，邻苯二甲酸二丁酯最容易被去除。藻类固定化能够在一定程度上增加藻类对污染物的降解。     

水中藻类检测方法的改进

藻类是指悬浮生活在水中的水生植物,一般个体大小在２－２００μｍ,极少数小于２μｍ,种类繁多,均含叶绿素,在显微镜下观察是带绿色的有规则的小个体或群体．根据水中的含量能间接地反映水体被污染程度和水处理的效果、近年来,随着水资源的污染,水中藻类的快速生长,直接影响了自来水的生产和供应．加上水质标准的提高,对水中藻类的监测研究也逐渐提到了日常的工作中．传统的测定方法是将一定量的水样加鲁哥试剂固定,在筒型分液漏斗中进行自然沉淀,４８ｈ后,借助虹吸方法     

饮用水处理中藻类去除方法的研究进展

水体富营养化导致藻类的大量繁殖 ,从而藻类及其分泌物质会影响饮用水质量 .本文对饮用水处理过程中藻类的去除方法进行阐述和比较 ,并对其中影响藻类去除效果的影响因素进行了分析 .参 5 4     

应用物种敏感性分布法分析太湖及天目湖水体的生态风险

采用物种敏感性分布法(SSDs法),应用水生生物急性和慢性毒性数据计算了31种污染物在水中和其中疏水物质在沉积物中的预测无效应浓度(PNECwater和PNECsed),通过收集以往报道的16种污染物在太湖和天目湖的环境浓度,用商值法求得物质的风险商并进行排序.结果发现:蒽、菲、萘、荧蒽、阿特拉津和马拉硫磷在太湖的梅梁湾和五里湖具有很大的生态风险;毒死蜱、三丁基锡氧化物和环己锡虽无环境浓度报道但很有可能具有风险.     

太湖沉水和浮叶植被及其水环境效应研究

运用GPS定位技术和常规采样方法,于2004年5月和9月对太湖沉水植物与浮叶植物的种类、群落类型、生物量及其水质状况进行了调查。结果表明:沉水植物与浮叶植物是太湖水生植被的主要类型,沉水植物群落类型主要有6个:微齿眼子菜群落;马来眼子菜群落;伊乐藻群落,穗花狐尾藻群落,金鱼藻群落,苦草群落;浮叶植物群落类型主要有3个:莕菜群落,金银莲花群落,菱群落。在春季,沉水植物占绝对优势,在夏秋季,浮叶植物则逐渐发展,尤其以莕菜生长最快。通过对有草区和无草区水质的比较,发现水生植被能显著提高水体的透明度、降低营养盐浓度和叶绿素含量,改善水质。     

太湖不同湖区生态系统健康评价方法研究

基于长期的监测资料,计算了表征湖泊生态系统健康的系统能(Ex)、系统能结构(Exst)和生态缓冲容量(|β|)指标,以及湖泊营养状态指数(Its)。结果表明,太湖不同湖区生态系统健康状况差异明显,1998—2001年太湖典型湖区健康状况由好到差的相对顺序为:东太湖、贡湖和湖心区、梅梁湾、五里湖。在此基础上,提出了富营养化浅水湖泊生态系统健康指标阈值和湖泊系统能量健康指数(IEx)及其健康状况分级。经2002、2003年太湖不同湖区实测检验表明,所提出的湖泊系统能量健康指数及其健康状况分级适用于评价太湖不同湖区生态系统健康的区域分异状况。     

太湖五里湖背角无齿蚌体内滴滴涕和六六六的残留

作为建立淡水"贝类观察"体系的初步尝试,选定2003年3月采自太湖五里湖水域的背角无齿蚌(Anodonta woodiana)为研究对象,测定其体内滴滴涕(DDT)和六六六(HCH)含量.除β型外,α型、γ型和δ型HCH异构体及p,p'-DDE,o,p'-DDT,p,p'-DDD,p,p'-DDT均在蚌样本中明显检出.∑DDTs湿重含量5.86～14.13 ng·g-1[平均(9.27±3.04) ng·g-1],高于∑HCHs湿重含量2.45～6.46 ng·g-1[平均(4.00±1.22) ng·g-1].p,p'-DDE、p,p'-DDD与α型、γ型HCH异构体分别为∑DDTs和∑HCHs的优势组分,说明太湖五里湖水域目前DDT的污染源可能很少,但存在较明显的新输入HCH.各蚌样的残留水平没有超过农业部、美国食品与药品管理局(FDA)和联合国粮农组织(FAO)颁布的最大限量.     

普萘洛尔在太湖沉积物上的吸附特征

主要研究了pH、离子强度、腐殖酸和沉积物有机质对普萘洛尔在太湖沉积物上吸附行为的影响.结果表明,沉积物对普萘洛尔具有一定的吸附能力.在强酸环境下,由于H+与带正电荷的普萘洛尔之间的竞争作用使得普萘洛尔的吸附量较小,随着pH的增大,吸附量逐渐增大至基本稳定,但当pH＞9时,吸附量明显下降.K+、Na+和Ca2+的存在会减...     

A vertical-compressed three-dimensional ecological model in Lake Taihu, China

A three-dimensional ecological model on the basis of the analyses of environmental characteristics is set up for Lake Taihu, one of the largest shallow lakes in China. The hydrodynamic processes, nutrient cycling, chemical processes and biological processes are integrated in the model. Model state variables include: water current, surface displacement, nutrients of nitrogen and phosphorus, as well as their different forms such as ammonia nitrogen, nitrate nitrogen, phosphate phosphorus, etc., biomasses of macroplankton, phytoplankton, zooplankton and fish, and also the nutrient levels of macroplankton and phytoplankton. A nutrient budget and sediment transformation are also coupled in the model. The data from January 17, 1997 to January 18, 1998 are use to calibrate the model. The model results have shown good agreement with the observations. It implies that the model could be used for the lake environmental management and research for examining the processes and determining the water quality. The reasons of deviations between the modelled results and the observed values are also discussed. There are six factors that explain the deviations of the modelled results from the observed values and they can be grouped into two sets. One set of problems is associated with the standard deviation introduced by sampling and analyses. The second set of problems can be solved by introduction of processes lacking in the present model (resuspension, phytoplankton transportation mode under the wind with low speed, shifts in species composition and varied size of phytoplankton and zooplankton). The latter two processes should be included in the model at a later stage by integration of a structurally dynamic approach into the three-dimensional model.     

Ecological risk assessment of pesticide residues in Taihu Lake wetland, China

As a major ecosystem type, wetland provides invaluable ecological services. Environmental pollution, especially pesticides pollution should be paid more attention to keep wetlands healthy. Based on the risk quotient method, coupled with a probabilistic risk assessment model, this paper proposed a methodology suitable for ecological risk assessment of pesticide residues for wetland ecosystems. As an important industrializing and ecologically vulnerable area in China, the Taihu Lake wetland was chosen for the case study. The risks of eight pesticides in Taihu Lake wetland were assessed, as single substances and in mixtures. The assessment indicates that risks of the representative species are not significant. In general, the herbicide is found to be more toxic for algae, whereas insecticides pose more risks to zooplankton, insect and fish. For each pesticide in the wetland, the ecological risk it poses is acceptable. But the combined ecological risk posed by mixture can harm more than 10% of species of the wetland ecosystem, mainly dominated by dichlorvos, dimethoate and malathion contributions. These results imply that pesticide residues have been posing pressures on the ecosystem of the Taihu Lake wetland. It is recommended that proper countermeasures should be implemented to reduce the risks.     

Impact of climate factors on cyanobacterial dynamics and their interactions with water quality in South Taihu Lake,China

Cyanobacterial bloom events in South Taihu Lake cause serious water quality problems and disturb aesthetic view of lake’s environment. In this study, correlations between cyanobacterial blooms and hydro-meteorological factors, including water quality, temperature and precipitation were investigated. Results demonstrated that South Taihu Lake was heavily affected by cyanobacteria and the proliferation of cyanobacteria due to variations in hydro-meteorological factors and water quality conditions. Water quality parameters, including COD, NH₃-N, TN and TP improved significantly since 2008 even at an elevated cyanobacterial bloom situation. Correlation analyses have shown that the development of cyanobacterial density and chlorophyll a concentration was sensitive to a wider temperature variation. The optimum temperature for cyanobacteria was 20°C, while extremely low and high temperatures were found to suppress their growth. Moreover, unusual rainfall patterns were measured during the study period (2003–2009), which showed an adverse impact on cyanobacterial development. Findings from this study suggested that seasonal lake’s water quality monitoring; suitable treatment of cyanobacterial blooms and strict policy implementation can solve the water quality issues in highly eutrophic lakes like Taihu.