白洋淀的纤毛虫及与水质污染的关系

对白洋淀纤毛虫的种类组成、优势种进行了初步调查，同时对水质进行理化监测，共鉴定出纤毛虫４８种。根据Ｍａｒｓｓｏｎ引出的污水生物体系法分析，白洋淀纤毛虫主要由耐有机污染的种群组成。说明白洋淀主要受有机污染。纤毛虫的种类数与水体中ＴＮ、ＴＰ、ＢＯＤ５有着密切关系。     

杞麓湖主要污染物的动态变化特征研究

以１９９７年杞麓湖水质监测结果为基础，运用相关分析，双因子方差分析等方法，对杞麓湖主要污染物动态变化特征的研究结果表明，杞麓湖主要污染物的空间分布较为均匀；ＢＯＤ５和ＴＮ都有较为明显的季节变化。     

青海湖地区生物多样性的空间特征与GAP分析

根据实地考察与有关资料,建立了青海湖环湖地区生态环境信息系统,在此基础上,提出了青海湖地区的生态系统分类,将青海湖环湖地区生态系统分为湖区及湖周水漫滩生态系统、草原生态系统、荒漠生态系统、高寒灌丛生态系统、高寒草甸生态系统、高寒荒漠生态系统、人工生态系统等。利用地理信息系统技术分析了青海湖地区的生物多样性空间特征,通过生物多样性保护的代表性、特有性、濒危性、敏感性原则与已经建立的青海湖国家级自然保护区进行叠加,进行ＧＡＰ分析,发现代表性的生态系统和普氏原羚等国家级保护动物的最适宜的生境没有包括在保护区内。然后,提出了青海湖自然保护区的分区方案及青海湖生物多样性的保护对策     

Heavy-metal contents in suspended solids of Meiliang Bay, Taihu Lake and its environmental significances

Surface water was taken from river mouth to the central area of Meiliang Bay, Taihu Lake, a large shallow eutrophic lake in China. Suspended solids were condensed by centrifugation 25L surface water samples from each selected site. Suspended solids and surface sediments were further freeze-dried and microwave digested before determining the metals by ICP-AES. Among the metals analyzed in suspended solids and sediments, contents of Cr, Cu, Mn, Ni, and Zn in suspended solids were significantly higher than those in sediments while contents of AI, Ba, Be, Ca, Co, Fe, K, Mg, Pb, and V in suspended solids were 10%-30% higher than those in sediments. Sr and Ti contents in suspended solids and sediments were very similar. Na content in suspended solids was lower than that in sediments. Heavy metals were significantly accumulated in suspended solids. From the river mouth to the center of Meiliang Bay, contents of Cr, Cu, Pb, and Zn in suspended solids showed a gradual decreasing trend indicating the river(Zhihugang River) still discharged large quantity of heavy metals to Meiliang Bay. The study suggests that the geochemical behaviors and ecological effects of heavy metals in suspended solids may serve as a good indicator for the pollution of lake.     

Application of Bayesian regularized BP neural network model for analysis of aquatic ecological data-A case study of chlorophyll-a prediction in Nanzui water area of Dongting Lake

Bayesian regularized BP neural network（BRBPNN） technique was applied in the chlorophyll-α prediction of Nanzui water area in Dongting Lake. Through BP network interpolation method, the input and output samples of the network were obtained. After the selection of input variables using stepwise/multiple linear regression method in SPSS i1.0 software, the BRBPNN model was established between chlorophyll-α and environmental parameters, biological parameters. The achieved optimal network structure was 3-11-1 with the correlation coefficients and the mean square errors for the training set and the test set as 0.999 and 0.000？8426, 0.981 and 0.0216 respectively. The sum of square weights between each input neuron and the hidden layer of optimal BRBPNN models of different structures indicated that the effect of individual input parameter on chlorophyll- α declined in the order of alga amount 〉 secchi disc depth（SD） 〉 electrical conductivity （EC）. Additionally, it also demonstrated that the contributions of these three factors were the maximal for the change of chlorophyll-α concentration, total phosphorus（TP） and total nitrogen（TN） were the minimal. All the results showed that BRBPNN model was capable of automated regularization parameter selection and thus it may ensure the excellent generation ability and robustness. Thus, this study laid the foundation for the application of BRBPNN model in the analysis of aquatic ecological data（chlorophyll-α prediction） and the explanation about the effective eutrophication treatment measures for Nanzui water area in Dongting Lake.     

长荡湖底泥污染特征及水体富营养化状况

根据长荡湖底泥和水体实测资料,分析了底泥的污染及营养物质释放特征,发现底泥释放再悬浮产生的污染负荷占到入湖污染负荷总量的比例分别是:高锰酸盐指数为16%,TN为25%,TP为21%,是引起近年来长荡湖水体富营养化加剧的重要因素,特别是湖西区和湖南区达到富营养水平,湖心区水体含氮磷浓度也较往年有明显增大。为控制长荡湖底泥污染及水体富营养化的加剧,提出了长荡湖水环境保护的相关对策措施。     

东湖沉积物中色素的环境意义研究

介绍了用紫外可见分光光度法测定东湖沉积物中几种指示色素含量的方法及各色素所代表的环境意义,探讨了近百年来东湖地区的环境演化历程。结果表明,近二十多年来,随着该地区工业的发展和人口的大量聚集,东湖已呈现严重的富营养化态势。     

大纵湖水环境污染分析及防治对策研究

大纵湖是江苏省里下河地区的重要湖泊之一,该文介绍了大纵湖自然概况,分析了大纵湖污染现状,如对水环境状况,出、入湖河流水质状况,底泥污染状况以及污染源状况进行了分析,并剖析了大纵湖水环境和污染源特征。针对存在的氮磷超标导致湖体富营养化、生态退化以及入境客水污染等主要环境问题,提出了控制污染物排放总量、修复湖泊生态、治理客水和强化水质监控等措施,为有效地改善大纵湖水环境质量,遏制湖泊富营养化趋势提供科学支撑。     

太湖流域水环境监测数据资源目录体系构建研究

太湖流域水环境监测数据来源广泛,涉及部门众多。数据资源目录体系建设是实现数据有序组织、满足信息共享需求的有效途径。通过分析太湖流域水环境监测数据资源管理和利用现状、存在问题,指出建设流域水环境监测数据资源目录体系的必要性。构建了流域水环境监测数据资源目录体系总体架构,实现数据资源的编目、注册、目录管理与目录服务。在此基础上,建设了流域水环境监测数据交换与共享平台原型,为实现流域水环境监测数据交换与共享提供技术支撑。     

马来眼子菜群丛对太湖不同湖区沉积物磷形态的影响

采用磷分级提取的方法对太湖贡湖湾、南部湖区马来眼子菜(Potamogeton malaianus)群落内外的沉积物样品进行了采集和分析,调查了沉积物中的不同形态磷的垂直分布状况,研究马来眼子菜群落对沉积物磷迁移转化的影响.结果表明:植物群丛对沉积物铁铝磷(Fe/Al-P)的影响在贡湖湾和南太湖表现不同.贡湖湾马来眼子菜群丛内部沉积物Fe/Al-P高于群落外部的27.6%,差异性显著(P<0.05);南太湖马来眼子菜群丛内部沉积物中Fe/Al-P均值低于群丛外部的47.4%,差异性显著(P<0.05).植物群丛对沉积物有机磷(OP)的影响在贡湖湾和南太湖表现相似,两湖区植物群丛外部沉积物中OP含量均值高于群落内部.马来眼子菜群丛对贡湖湾和南太湖沉积物中Ca-P有较明显的影响,植物的影响主要体现在表层0~15cm范围内,贡湖湾湖区沉积物Fe/Al-P和OP含量较高,在植物的影响下转化为Ca-P,因此Ca-P在表层沉积物中呈上升趋势;南太湖沉积物中Ca-P含量较高,在植物影响下Ca-P有一定量的释放,因此Ca-P在表层沉积物中呈下降趋势.