盐度变化对崇明东部河口潮滩氮营养盐循环影响实验模拟研究

以长江口咸淡水交互作用最为典型岸段崇明东部潮滩作为研究区域,运用实验模拟方法,定量地研究了盐度变化对潮滩生态系中无机氮的迁移、转化过程的影响。结果发现,盐度升高有利于沉积物中的NH4-N向上覆水扩散,但NO2-N和NO3-N的界面扩散呈现相反的变化趋势;沉积物中可交换态无机氮含量变化特征显示,在盐度变化剧烈的潮滩生态系统内,硝化作用可能是控制沉积物(尤其是表层沉积物)中无机氮分布的重要因素。     

我国硒淡水水生生物水质基准值推导

水体中硒含量过高会导致水生生态系统退化,而中国现有的地表水环境质量标准对硒的标准值设定并不是基于我国水生生物相关毒理学研究得出的,难以因地制宜地保护我国水生生物.为保护我国水生生物,本研究利用物种敏感度分布法,推导出基于最大无效应浓度（NOEC）、最低有效应浓度（LOEC）的慢性硒（无机）淡水水质一级基准值和基于半数致死效应浓度（LC₅₀）、半数最大效应浓度（EC₅₀）、半数抑制浓度（IC₅₀）的急性硒（无机）淡水水质二级基准值分别为0.58 μg·L^-1、0.52 mg·L^-1,发现我国现有的水质标准可能会对我国水生生物造成欠保护.进一步推导出为保护我国鱼类的硒（无机）淡水水质一级、二级基准值分别为0.21 μg·L^-1、1.60 mg·L^-1,以及硒淡水鱼类饲料有机硒和无机硒含量一级基准值分别为97 μg·kg^-1和98 μg·kg^-1.本研究基于硒对水生生物的急性和慢性毒性效应,推导出硒的系列基准值,为保护我国淡水水生生物安全的标准制定提供数据支撑和科学依据.     

青藏高原淡水湖泊水化学组成特征及其演化

青藏高原淡水湖具有高生态价值和高脆弱性并存的特点.以海拔5 080 m±10 m的打加芒错湖水为研究对象,测试及分析了湖水化学组分,探讨了其主要离子来源、控制因子和湖泊水化学演化趋势.结果表明,湖水阳离子以Ca2+和Na+为主,阴离子以HCO3-为主,为HCO3-Ca型水;TDS为71.2～199.8 mg·L-1,矿化度低;受地表径流的稀释作用和富铝贫钙的地质背景约束湖区东南部水体的EC、Ca2+和HCO3-浓度均较低.湖水的Na+/(Na++Ca2+)为0.08～0.75,Cl-/(Cl-+HCO3-)为0.11～0.35,Ca/Na值为0.58,Mg/Ca值为0.12,HCO3/Na值为1.46,据Gibbs模型和元素化学计量分析表明,其化学组成主要受硅酸盐岩风化控制.湖区流域参与风化的矿物岩石包括斜长石(钙长石、钠长石)、钾长石、云母、石膏、盐岩等,但以斜长石风化为主,湖水的K/Na值平均为0.059,表明流域钾长石风化程度较低.湖水中方解石、白云石、石英、石膏等矿物饱和指数(SI)大于0,石盐的SI则小于0,揭示了青藏高原上淡水湖泊演变成咸水湖的变化趋势.     

长江流域污染物输出对河口水质的影响

基于EFDC模型建立长江口及邻近海域三维水质模型,模拟2004—2007年不同水期的ρ(COD_Mn)、ρ(DIN)、ρ(PO₄3--P)状况,分析水质分布的变化特征,研究流域污染物输出对河口水质分布的影响. 根据GB 3097—1997《海水水质标准》,长江口门以上ρ(COD_Mn)为Ⅱ类水质,ρ(DIN)、ρ(PO₄3--P)为劣Ⅳ类,并且有明显的分层现象. 枯水期各指标等值线均向东北方向延伸,丰水期和平水期向东南延伸,丰水期流域污染物输出对河口水质的影响最大,不同类别水体的分布形态和水体面积年际变化不明显. 按不同时期ρ(COD_Mn)、ρ(DIN)、ρ(PO₄3--P)分布面积进行统计,长江口ρ(COD_Mn)、ρ(DIN)、ρ(PO₄3--P)分布与流域污染物输出之间有显著关系,河口水质分布面积与流域污染物输出之间存在定量的压力-响应关系.ρ(COD_Mn)、ρ(DIN)、ρ(PO₄3--P)达Ⅳ类以上水体面积(y)与流域污染物输出通量(x)的关系分别为:y_CODMn=2 061.4 ln x_CODMn-15 357.0,y_DIN=1 386.8 ln x_DIN-6 546.1,y_PO43--P=2 219.3 ln x_PO43--P-6 166.1.      

Ecological service assessment of human-dominated freshwater ecosystem with a case study in Yangzhou Prefecture, China

Freshwater ecosystems provide a host of services to humanity. These services are now rapidly being lost, not least because of the inability of making the impacts measurable. To overcome this obstacle, assessment frameworks for freshwater ecosystem services are needed. A simple water equivalent framework to assess the ecological services provided by freshwater ecosystems was developed in this study. It translated the occupation of freshwater ecosystem services into biologically freshwater volumes and then compares this consumption to the freshwater throughput, that is, the ecological capacity available in this region. In this way, we use the example of Yangzhou Prefecture, to account the main categories of human occupation of water ecosystem services. The result showed that there is a huge gap between the consumption and the supply of freshwater ecosystem services. This must encourage local government to make land-use and water management decisions both economically rational and environmentally sound.     

长江流域污染负荷核算及来源分析

为研究长江流域污染物输出的时空变化特征和来源,将长江流域划分为114个排污单元,195个纳污河段,应用污染物“产生-排放-入河-消减-输出”模型,结合长江流域2004—2007年的社会经济、水文监测资料,利用朱坨、寸滩、宜昌、大通4个监测断面2004—2007年逐月的水量和水质数据,通过连续演算核算长江流域各河段的污染物输出过程,进行区间污染物输出平衡分析,估算出姚港断面污染物输出过程. 结果表明,各断面计算数据与实测数据相对误差不超过20%,模型及参数组合的可靠性较好. 点源对COD_Mn输出贡献较大,占56.4%;非点源对TN、TP的贡献大,分别占74.3%和92.1%. 从污染物输出分布来看,江西、四川、湖南、湖北四省占流域污染物输出总量的60%以上,贡献率较大,是流域污染物输出的重要区域.      

海河流域水生态功能一级二级分区

水生态功能分区是实现流域水环境"分区、分级、分期和分类"管理的基础.通过分析海河流域的陆地和水生态系统特点,确定了一级二级分区的指标体系,一级分区指标包括地貌类型、径流深、年降水量、年蒸发量,反映水资源供给功能的空间格局特征,共划分了6个一级水生态功能区;二级分区利用植被类型和土壤类型的空间异质性,反映流域生态水文过程及水质净化功能的空间格局特征,共划分了16个二级水生态功能区.最后,通过野外调查各个分区的水生态系统结构和生境差异性(水量、水质、河流生境、水生动植物等),对一级和二级分区结果进行了评价.分区结果能够为海河流域的水质目标管理和区域生态环境建设提供支持,分区方法和指标体系也可以为国内其它类似流域的水生态功能分区提供参考.     

苯并(a)芘在四种食用淡水鱼中的含量和分布

利用GC-MS测定了购自北京市场的4种食用淡水鱼(鲫鱼、胖头鱼、鲤鱼、草鱼)的5种组织器官(脑、肝、泡、卵和肌肉)中BaP的含量,分析了BaP在4种食用淡水鱼中的分布特征及其对人体的健康风险.结果表明,鱼体BaP湿重含量范围为0～0.057ng·g-1,BaP脂标化含量范围为0.02～21·22 ng˙g-1·BaP在不同组织器官和不同鱼种中的湿重含量差别不显著;而不同鱼种和组织器官中BaP脂标化含量则有一定的差异性.4种鱼中,胖头鱼BaP脂标化含量水平最高,鲫鱼次之,草鱼和鲤鱼较低;各组织器官中,肝脏的BaP脂标化含量相对最高,肉、泡、籽次之,脑中BaP脂标化含量相对最低.鱼体中BaP湿重含量均低于USEPA规定的可食用生物组织器官中BaP含量的上限值(0.67 ng·g-1,wetweight),对人体的致癌风险远小于10-5.     

Trace metal levels in freshwater fish, sediment and water

The trace metal concentrations in water, sediment and aquatic organisms, such as fish, could indicate the level and tendency of the pollution. This is important not only for the protection of the environment, but for evaluation of the quality of fish meat either captured from natural waters or cultured in fishponds. The total trace metal concentrations in samples of fish from different regions of Hungary and from different species have been determined by using an X-ray fluorescence technique (EDXRF). Water, sediment and fish samples from fishpond systems with different feeding and stocking has also been analyzed. In the case of zinc contents, differences have been traced between the cultured and wild common carp. In the case of common carp reared under different feeding conditions, differences were also observed in the zinc concentration. The retention of the trace metals in the fish has been studied by measuring the levels in sediment, water and feed. The different retention can be explained by the different availability of zinc in the applied feeds, which can be related to the presence of different metal species in the feeds.     

Temporal variation and distribution of trace metals in freshwater and fish from Calabar River, S.E. Nigeria

An investigation on the abundance and distribution of trace metals (Fe, Cu, Zn, Mn, Cr, Cd and Pb) in water, and nine species of fish samples from Calabar river was carried out in 1992. The concentrations of iron (6000–7240gl^–1), zinc (4910–7230gl^–1), and cadmium (3–7gl^–1) showed moderate pollution while those of copper (420–630gl^–1), manganese (23–48gl^–1), chromium (<10–20gl^–1) and lead (<1–10gl^–1) in water were well below WHO permissible levels. Significant seasonal changes (0.001p0.25) were obtained for iron, copper, zinc, manganese and cadmium in water. Furthermore, iron, zinc and cadmium showed statistically significant spatial changes (0.005p0.10). Of the nine fish species studied, no statistically significant relationship between body weight and the concentrations of the metals was observed. The concentrations of the metals per mean total body weight apparently decreases in the order Fe>Zn>Cu>Mn>Pb>Cd=Cr and were within the limits that were safe for consumption.