淮南—蚌埠段淮河流域沉积物中PAHs的分布及来源辨析

采用GC-MS对淮南至蚌埠段淮河流域水源地、支流及排污口采集沉积物中18种多环芳烃(PAHs)进行定量分析.结果表明,研究区水源地及其支流沉积物中PAHs含量范围为308.12～1090.37ng/g;排污口沉积物PAHs范围为1308.36～8793.16ng/g.沉积物PAHs组成以3～4环PAHs为主,5～6环PAHs相对较少.相对于TOC,BC与沉积物总PAHs的含量相关性更好.PAHs组成特征、主成分分析及多特征比值揭示淮南至蚌埠段淮河流域沉积物PAHs主要来源于化石燃料的不完全燃烧,还有少量石油类产品的输入.生态风险评价结果显示,研究区沉积物中多数PAHs化合物已超出ER-L值和ISQV-L值,而姚家湾排污口沉积物PAHs部分化合物已超出ER-H值和ISQV-H值,表明沉积物中的PAHs对研究区环境已造成了极大的生态风险.     

海河悬浮颗粒物影响阿特拉津对斑马鱼的急性毒性研究

悬浮颗粒物对有机污染物的吸附降低了其表观生物富集系数,这一过程是否同时能够减弱有机污染物对水生生物的毒性却少有报道.因此,本研究选取海河干流二道闸沉积物为悬浮颗粒物,以阿特拉津为目标污染物,斑马鱼为目标生物,进行急性毒性试验.结果表明,无悬浮颗粒物时,阿特拉津对斑马鱼的96 h半致死浓度(96h-LC50)为29.06 mg·L-1,95%置信区间为24.41~40.70 mg·L-1,悬浮颗粒物浓度为7500mg·L-1和15000 mg·L-1时这一指标分别为30.74 mg·L-1和39.51 mg·L-1,对应的95%置信区间分别为27.17~40.91 mg·L-1和30.43~126.93 mg·L-1.并且无悬浮颗粒物、7500 mg·L-1悬浮颗粒物、15000 mg·L-1悬浮颗粒物3组染毒系列中出现的最大无效应浓度分别为3、9和15 mg·L-1.研究表明,悬浮颗粒物的存在降低了阿特拉津对斑马鱼的急性毒性.     

沉积物中不同浓度多壁碳纳米管对Cd和BDE-47生态毒性的影响

随着碳纳米管的广泛应用,其将不可避免地进入环境中.由于其具有极好的吸附亲和力和吸附容量,碳纳米管可以充当环境中持久性有毒污染物的载体,从而改变共存污染物的生物有效性和生态毒性.为评价淡水沉积物中不同多壁碳纳米管(MWCNTs)对Cd和BDE-47生态毒性的影响,采用沉积物慢性生物测试研究了不同浓度MWCNTs存在下Cd和BDE-47对铜锈环棱螺肝胰脏抗氧化防御系统关键成分超氧化物歧化酶(SOD)与Ⅱ相解毒反应的关键酶谷胱甘肽-S-转移酶(GST)以及脂质过氧化损伤指标丙二醛(MDA)的影响.结果表明,沉积物中低浓度MWCNTs(0.5 mg·g~(-1))增强Cd对铜锈环棱螺的氧化胁迫,中、高浓度(5、50 mg·g~(-1))MWCNTs引起Cd对铜锈环棱螺的氧化损伤,MWCNTs的存在显著增强了沉积物中Cd对铜锈环棱螺的毒性,而且具有浓度-效应关系;低浓度MWCNTs不影响BDE-47对铜锈环棱螺的毒性,中、高浓度MWCNTs显著降低BDE-47的毒性,同样具有明显的浓度-效应关系.因此,在评价MWCNTs的潜在环境风险时,不仅考虑MWCNTs自身的毒性,还应当考虑MWCNTs的浓度、共存污染物的种类和MWCNTs与共存污染物之间的相互作用.     

北江流域抗生素污染水平和来源初探

北江是发源于湖南(武水)和江西(浈水),汇于广东韶关,流经广东全境并入海的三大河流之一。为了解整个北江抗生素污染情况,共设置44个采样点,并采集了河水及部分沉积物样品,较全面地分析了各样品中12种典型抗生素含量并初步探究了其污染来源。研究发现,包括北江源头在内的全河段均有抗生素的检出,5类抗生素在表层水和沉积物中的平均浓度分别为77.8 ng·L~(-1)和3.6 ng·g~(-1)。其中,大环内酯类污染最为严重,其含量范围为11.7~114.6 ng·L~(-1)和0~435.3 ng·g~(-1),远高于其他类抗生素。表层水中磺胺类的磺胺甲恶唑和氯霉素类的检出率达100%,其中以磺胺甲恶唑(14.7 ng·L~(-1))和阿奇霉素(25.0 ng·L~(-1))为主,而沉积物中以阿奇霉素(35.9 ng·g~(-1))、氧氟沙星(5.4 ng·g~(-1))和四环素(3.3 ng·g~(-1))为主。由于流域污染源种类和数量不同,各抗生素在北江中的分布也存在差异。表层水中抗生素含量水平表现为下游高于上中游,在沉积物中则主要集中于中、下游之间河段。这反映了人类活动强度对北江抗生素污染的直接影响。     

Particle size distribution and characteristics of heavy metals in road-deposited sediments from Beijing Olympic Park

Due to rapid urbanization and industrialization, heavy metals in road-deposited sediments(RDSs) of parks are emitted into the terrestrial, atmospheric, and water environment, and have a severe impact on residents' and tourists' health. To identify the distribution and characteristic of heavy metals in RDS and to assess the road environmental quality in Chinese parks, samples were collected from Beijing Olympic Park in the present study. The results indicated that particles with small grain size(150 μm) were the dominant fraction. The length of dry period was one of the main factors affecting the particle size distribution, as indicated by the variation of size fraction with the increase of dry days. The amount of heavy metal(i.e., Cu, Zn, Pb and Cd) content was the largest in particles with small size(150 μm) among all samples. Specifically, the percentage of Cu, Zn, Pb and Cd in these particles was 74.7%, 55.5%, 56.6% and 71.3%, respectively.Heavy metals adsorbed in sediments may mainly be contributed by road traffic emissions. The contamination levels of Pb and Cd were higher than Cu and Zn on the basis of the mean heavy metal contents. Specifically, the geoaccumulation index(I geo) decreased in the order:CdPbCuZn. This study analyzed the mobility of heavy metals in sediments using partial sequential extraction with the Tessier procedure. The results revealed that the apparent mobility and potential metal bioavailability of heavy metals in the sediments, based on the exchangeable and carbonate fractions, decreased in the order: CdZn≈PbCu.     

洱海弥苴河河口沉积物磷吸附特性研究

以洱海主要入湖河流弥苴河的河口表层沉积物为实验对象,研究其磷吸附特性。研究结果表明,Elovich方程对沉积物吸磷动力学拟合较好,考虑沉积物原有吸附态磷的修正Langmuir方程能较好描述弥苴河河口表层沉积物等温吸附特性。弥苴河河口沉积物存在释磷风险,沉积物间隙水正磷浓度远高于临界磷平衡浓度。     

长江口邻近海域沉积物中生物硅溶解行为研究

对长江口邻近海域进行调查,分析沉积物中生物硅的空间分布特征,探讨影响生物硅溶解以及保存的因素.结果表明,生物硅含量的平面分布具有近岸高于远海的分布趋势,陆源输入、沉积速率以及水动力条件是影响生物硅在沉积物中埋藏的主要因素.生物硅溶解速率常数随空间以及深度无明显变化规律,间隙水中硅酸盐相对于生物硅溶解度的不饱和程度、有机外壳对生物硅的包裹以及间隙水中Al离子浓度等因素会影响生物硅的溶解进而会影响其在沉积物中的保存和间隙水中硅酸盐浓度的变化.     

滇池表层沉积物对磷的吸附特征

在室内模拟条件下,从滇池表层沉积物对磷的吸附动力学与热力学两个角度出发,研究了滇池沉积物对磷的吸附特征,同时探讨了不同磷形态对磷吸附特性的影响,结果表明:1滇池不同形态磷含量顺序为:有机磷钙(O-P)钙结合态磷(Ca-P)金属氧化物结合态磷(Al-P)残渣态磷(Res-P)可还原态磷(Fe-P)弱吸附态磷(NH4Cl-P);2沉积物对磷的吸附动力学过程分为2个阶段,即快吸附和慢吸附阶段.快吸附阶段主要发生在0~0.5 h内,而慢吸附阶段主要发生在0.5~4 h.滇池沉积物对磷的吸附过程主要在4 h内完成.3外海北部上覆水磷酸盐(SRP)浓度低于沉积物中磷的吸附/解吸平衡浓度(EPC0),可初步判断该区域沉积物有向上覆水体释放磷的风险.4不同区域沉积物磷的最大吸附量(Qmax)和总最大吸附量(TQmax)均以外海南部最大.5沉积物本底吸附态磷含量(NAP)与钙结合态磷(Ca-P)呈显著正相关关系(R2=0.5139,p0.05),而其他吸附特征参数与磷形态之间相关性均不显著.6与洱海、太湖等湖泊相比,滇池沉积物磷的本底吸附态磷(NAP)和最大吸附量(Qmax)均处于较高水平,磷污染较为严重.     

Development of a Dynamic Aquatic Model (DynA Model): Estimating Temporal Emissions of DDT to Lake Maggiore (N. Italy)

- DOI: http://dx.doi.org/10.1065/espr2006.01.009 Background, Aims and Scope Most existing models used to describe the fate of chemicals in surface water and sediment generally consider a 'static scenario', in which a contaminant is discharged at a constant rate and environmental input parameters do not change during the simulation time. This approach is not suitable in environmental scenarios characterized by daily or periodic changes of several input parameters. The aim of this study is to estimate approximate emissions of DDT lo Lake Maggiore using a new surface water model, (DynA Model) that describes the fate of a chemical in a dynamic scenario. Methods The model is developed on the grounds of an existing and validated model (QWASI). A numerical solution was adopted to build the fully dynamic version of the model. Results and Discussion The model was applied to Lake Maggiore emitting DDT at a constant rate until steady-state was reached. Emissions were stopped and later sporadic 'pulse' emissions were added. This was done to calculate the amount of DDT needed to simulate concentrations close to those measured in water and sediments. This allowed the evaluation of the order of magnitude of emissions. An uncertainty analysis for sediment resuspension was also performed, given the lack of measured resuspension rates. Conclusion The model showed the time response of the Lake Maggiore system to varying emission scenarios and provided what are regarded as reasonable estimates of DDT emissions. The model demonstrated the importance of sediment-water exchange. Recommendation and Outlook In order to better calculate DDT concentrations the model should be run with different discharge scenarios to clarify the time trends of concentrations, possibly with the use of different sets of measured data (such as biota and sediment deposition/resuspension rates).     

A LOOK AT THE HUDSON RIVER ESTUARY1

This paper provides background information on the effect of tide waves upon the movement of water in the Hudson River estuary. Computations based on records from three continuous stage recorders and current-meter discharge measurements made throughout a tidal cycle show that peak discharge rates in the estuary at Poughkeep-sie may be as great as 500,000 cubic feet per second and that total daily tidal volumes as great as 20 billion cubic feet move in the estuary. Computation of water movement in the estuary requires precise field data and continued efforts are needed to perfect the data-collection system and the computation procedure in order to adequately define water movement in the Hudson estuary.