秦淮河干流沉积物磷形态沿程分布特征

应用化学连续提取法,分析了秦淮河干流14个表层沉积物样品的磷形态沿程变化特征及其影响因素.结果发现,秦淮河干流由上游至南京市区段,随城市化程度的提高,河流沉积物总磷和各种形态磷沿程增加的趋势十分明显.Ca-P和Fe-P平均含量分别占TP的26.8%和25.7%,是主要的磷形态.易吸附态磷(L-P)在TP中的比例最低,但在城区由于TP的高度富集,其含量均超过15 mg·kg-1.沉积物中的总磷含量在城区河段显著增加,但只有很少部分转化为稳定形态的磷,人口密集区生活污水等各种来源排放的磷仍然深刻影响着城市河流的水环境质量.随城市化程度的提高,秦淮河中下游沉积物样品中钙富集的趋势明显,与之相对应的是沉积物Ca-P含量均超过200 mg·kg-1,相关分析和通径分析结果表明,二者之间存在成因上的联系.钙的富集提高了沉积物的固磷能力,将上覆水体中的磷转化为钙结合态磷.城区河流沉积物中钙含量的升高,对于河流生态系统磷的迁移转化有重要影响.     

不同粒径泥沙理化特性对磷吸附过程的影响

以北京大兴南海子湖表层沉积物为研究对象,测试分析了0.147～0.246 mm(细砂)、0.074～0.147 mm(极细砂)、0.0385～0.0740 mm(粉粒)和<0.0385 mm(粉粒粘粒混合物)4种粒径泥沙对磷的吸附行为,并采用相关分析及逐步回归分析探讨不同粒径沉积物中有机质(OM)、Fe、Al、Ca、Mn和TP含量对磷吸附过程的影响。结果表明,二级动力学方程和Langmuir模型能较好地描述南海子不同粒径泥沙的吸附动力学及等温吸附过程(R2>0.90)。粒径对单位质量泥沙吸附磷量具有明显影响,粉粒粘粒混合物>粉粒>细砂>极细砂。总体上,泥沙有机质(OM)、TP、Fe、Al、Ca和Mn含量随粒径的减小而增大,且粘粒对其影响较大。不同粒径泥沙(OM)、Fe、Al、Ca和Mn含量之间存在极显著正相关关系(P<0.01),且均对单位质量泥沙最大吸附量(Xm)和饱和吸附量(Cse)具有正效应,其中Al含量对该参数的影响更为显著。这说明泥沙对磷的吸附行为可能受到粒径和化学成分的共同影响。     

Use of a food web model to evaluate the factors responsible for high PCB fish concentrations in Lake Ellasjøen, a high Arctic Lake

Background, aim, and scope

Lake Ellasjøen, located in the Norwegian high arctic, contains the highest concentrations of polychlorinated biphenyls (PCBs) ever recorded in fish and sediment from high arctic lakes, and concentrations are more than 10 times greater than in nearby Lake Øyangen. These elevated concentrations in Ellasjøen have been previously attributed, in part, to contaminant loadings from seabirds that use Ellasjøen, but not Øyangen, as a resting area. However, other factors, such as food web structure, organism growth rate, weight, lipid content, lake morphology, and nutrient inputs from the seabird guano, also differ between the two systems. The aim of this study is to evaluate the relative influence of these factors as explanatory variables for the higher PCB fish concentrations in Ellasjøen compared with Øyangen, using both a food web model and empirical data.

Methods

The model is based on previously developed models but parameterized for Lakes Ellasjøen and Øyangen using measured data wherever possible. The model was applied to five representative PCB congeners (PCB 105, 118, 138, 153, and 180) using measured sediment and water concentrations as input data and evaluated with previously collected food web data.

Results

Modeled concentrations are within a factor of two of measured concentrations in 60% and 40% of the cases in Lakes Ellasjøen and Øyangen, respectively, and within a factor of 10 in 100% of the cases in both lakes. In many cases, this is comparable to the variability associated with the data as well as the efficacy of the predictions of other food web model applications.

Discussion

We next used the model to quantify the relative importance of five major differences between Ellasjøen and Øyangen by replacing variables representing each of these factors in the Ellasjøen model with those from Øyangen, in separate simulations. The model predicts that the elevated PCB concentrations in Ellasjøen water and sediment account for 49%–58% of differences in modeled fish PCB concentrations between lakes. These elevated sediment and, to a lesser extent, water concentrations in Ellasjøen are due to PCB loadings from seabird guano. However, sediment–water fugacity ratios of PCBs are consistently greater in Ellasjøen compared with Øyangen, which suggests that internal lake processes also contribute to differences in sediment and water concentrations. We hypothesize that the nutrients associated with guano influence sediment–water fugacity ratios of PCBs by increasing the stock of pelagic algae. As both these algae and the guano settle, their organic carbon content is degraded faster than PCBs, which causes an extra magnification step in Ellasjøen before these detrital particles are consumed by benthic organisms, which are in turn consumed by fish. The model predicts that the remaining ～50% of the differences in PCB concentrations observed between the fish of these lakes are due to other subtle differences in their food web structures.

Conclusions

In conclusion, based on the results of a food web model, we found that the most dominant factors influencing the higher PCB fish concentrations in Lake Ellasjøen compared with Øyangen are the higher sediment and water concentrations in Ellasjøen, caused by seabird guano. Together, sediment and water are predicted to account for 49%–58% of differences in fish concentrations between lakes. Although seabird guano provides a source of nutrients to the lake, in addition to contaminants, empirical data and indirect model results suggest that nutrients are not leading to decreased bioaccumulation, in contrast to what has been observed in temperate, pelagic food webs.

Recommendations and perspectives

The results of this study emphasize the importance of considering even small differences in food web structure when comparing bioaccumulation in two lakes; although the food web structures of Ellasjøen and Øyangen differ only slightly, the model predicts that these differences account for most of the remaining ～50% of the differences in PCB fish concentrations between the two lakes. This study further demonstrates the utility of food web models as we were able to predict and tease apart the influence of various factors responsible for the elevated concentrations in the fish from Lake Ellasjøen, which would have been difficult using the field data alone.     

APPLICATION OF A SEDIMENT ROUTING MODEL TO A MIDDLE EUROPEAN WATERSHED1

ABSTRACT: A simulation model that computes sediment yield due to sheet and rill erosion at the outlet of a large watershed requires daily precipitation and the soil, topographic, and vegetative characteristics of the watershed. An important problem, particularly in a large watershed, is the transport of sediment produced in the sub-watersheds to the outlet of the whole watershed. This problem is approached mathematically by a sediment routing model that is used as a component of the total model.     

Sediment and porewater geochemistry in a metal contaminated estuary,Dulas Bay,Anglesey

Remobilisation of contaminant metals from sediments can occur by chemical, biological or physical changes. This in turn can lead to contaminant fluxes to the porewaters and ultimately the water column. The aim of the research presented here is to document post-depositional controls on metal mobility and fluxes in a heavily metal-contaminated estuary. This will allow for an improved understanding of the impact of contaminated sediments on water quality from both a short-term and long-term perspective. Dulas Bay is situated on the east coast of Anglesey, North Wales, and receives polluted waters from Parys Mountain. Metals within Dulas Bay sediments show surface enrichment and variations in mineralogical form. Diagenesis clearly plays a role in post-depositional behaviour of the metals, forming sulphides and potentially carbonates. The presence of a dominant exchangeable/carbonate fraction, and elevated porewater metals, in this sulphidic system is significant and could indicate the presence of freshwater diagenesis, or, reflect the high levels of metals in the sediment.     

镧铝改性凹凸棒粘土对富营养化湖泊有机磷控制效果

通过吸附与原位模拟实验,研究了镧铝改性凹凸棒粘土(La/Al@ACP)对水体有机磷的吸附性能及其覆盖对沉积物磷释放的影响,并通过沉积物磷分级、DGT技术、扫描电镜能谱技术探讨材料覆盖对沉积物磷形态影响机制.结果显示,La/Al@ACP添加后,上覆水及底泥间隙水中磷含量显著下降,并伴随沉积物有效磷通量的减少.有机磷形态分析表明,添加La/Al@ACP后活性态的Lab-Po不断向稳定态的Hum-Po转化,有效控制了底泥磷向上覆水释放的风险. La/Al@ACP作为一种控制湖泊富营养化的有效材料,可用于底泥内源磷的固定与控制.     

贵州百花湖沉积物磷、氮及有机碳的空间分布特征

采集贵州百花湖沉积物柱芯,测定沉积物总磷(TP)、总氮(TN)和有机碳(Corg)含量,并进行TP、TN及Corg含量相关性分析.结果表明,百花湖沉积物TP、TN及Corg含量平均值分别为976 mg.kg-1,0.34%、2.91%,表层沉积物污染严重,随着沉积物深度的增加沉积物TP、TN及Corg含量逐渐降低.不同沉积物柱芯相同层位TP、TN及Corg含量存在较大差别,表明不同湖区底泥污染程度存在较大差异,在实施内源污染控制工程时需充分考虑这一特点,对不同湖区采用不同的治理与控制措施.     

不同类型湖泊沉积物中氮释放规律研究

通过对武汉市东湖子湖郭郑湖、庙湖以及南湖这3个不同类型的湖泊进行释氮模拟实验,结果表明:(1)在厌氧条件下,不同污染程度的湖泊中沉积物释氮作用均比较明显。为了抑制沉积物向上覆水释氮,控制湖泊富营养化,保持湖泊较高的溶解氧水平是必要的。(2)在厌氧条件下,高温对不同类型湖泊总氮和氨氮的释放均能起到促进作用。(3)沉积物与上覆水间污染物的浓度梯度越大,总氮和氨氮的释放速率与释氮量也越大,此时温度的影响不明显。(4)通过比较3类湖泊沉积物上覆水中总氮和氨氮两者的释放浓度可知,氨氮的释放贡献十分显著,因此控制氨氮的释放量对于控制湖泊氮释放量具有显著效果。     

Dissipation of glyphosate and aminomethylphosphonic acid in water and sediment of two Canadian prairie wetlands

Glyphosate [N-(phosphonomethyl)glycine] is the active ingredient of several herbicide products first registered for use in 1974 under the tradename Roundup. The use of glyphosate-based herbicides has increased dramatically over the last two decades particularly in association with the adoption of glyphosate-tolerant crops. Glyphosate has been detected in a range of surface waters but this is the first study to monitor its fate in prairie wetlands situated in agricultural fields. An ephemeral wetland (E) and a semi-permanent wetland (SP) were each divided into halves using a polyvinyl curtain. One half of each wetland was fortified with glyphosate with the added mass simulating an accidental direct overspray. Glyphosate dissipated rapidly in the water column of the two prairie wetlands studied (DT₅₀ values of 1.3 and 4.8 d) which may effectively reduce the impact of exposure of aquatic biota to the herbicide. Degradation of glyphosate to its major metabolite aminomethylphosphonic acid (AMPA) and sorption of the herbicide to bottom sediment were more important pathways for the dissipation of glyphosate from the water column than movement of the herbicide with infiltrating water. Presently, we are not aware of any Canadian guidelines for glyphosate residues in sediment of aquatic ecosystems. Since a substantial portion of glyphosate entering prairie wetlands will become associated with bottom sediments, particularly in ephemeral wetlands, guidelines would need to be developed to assess the protection of organisms that spend all or part of their lifecycle in sediment.     

底泥与衰亡植物营养释放及细菌群落演替差异的比较分析

为揭示两种"湖泛"因素对水质影响及细菌群落演替差异,对泸沽湖草海底泥和衰亡植物营养释放过程进行对比研究,并通过冗余分析阐明影响细菌群落不同阶段变化的主要环境因子.结果表明,前期是衰亡植物与底泥营养释放及细菌演替差异显著的主要阶段.植物腐解过程中,细菌前期厌氧发酵更剧烈,水体迅速处于低pH、低DO和低ORP(Oxidat...