Biological Activity in a Heavily Organohalogen-Contaminated River Sediment (8 pp)

Background, Aims and Scope Sediments of the Spittelwasser creek are highly polluted with organic compounds and heavy metals due to the discharge of untreated waste waters from the industrial region of Bitterfeld-Wolfen, Germany over the course of more than one century. However, relatively few data have been published about the chloroorganic contamination of the sediment. This paper reports on the content of different (chloro)organic compounds with special emphasis on polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/F), and chlorobenzenes. Existing concepts for the remediation of Spittelwasser sediment include the investigation of natural attenuation processes, which largely depend on the presence of an intact microbial food web. In order to gain more insight in terms of biological activity, we analyzed the capacity of sediment microflora to degrade organic matter by measuring the activities of extracellular hydrolytic enzymes involved in the biogeochemical cycling of carbon, nitrogen, phosphorus and sulfur. Furthermore, the detection of physiologically active bacteria in the sediment, particularly of those known for their capability to reductively dehalogenate organochlorine compounds, illustrates the potential for intrinsic bioremediation processes. Methods PCDD/F and chlorobenzenes were analyzed by gas chromatography(GC)/mass spectrometry and GC/flame ionization detection, respectively. The activities of hydrolytic enzymes were determined from freshly sampled sediment layers using 4-methylumbelliferyl (MUF) or 7-amino-4-methylcoumarin-conjugated model compounds and kinetic fluorescence measurements. Physiologically active bacteria from different sediment layers were microscopically visualized by fluorescence in situ hybridization (FISH). Specific bacteria were identified by 16S rRNA gene amplification and sequencing. Results and Discussion The PCDD/F congener profile was dominated by dibenzofurans. In addition, the presence of specific tetra and pentachlorinated dibenzofurans supported the assumption that extensive magnesium production was one possible source for the high contamination. A range of other chloroorganic compounds, including several isomers of chlorobenzenes, hexachlorocyclohexane and 1,1,1-trichloro-2,2-bis (p-chloro-phenyl)ethane (DDT), was present in the sediment. Activities of extracellular hydrolytic enzymes showed a strong decrease in those sediment layers that were characterized by high contents of absorbable organic halogen (AOX), indicating disturbed organic matter decay. Interestingly, an abnormal increase of cellulolytic enzyme activities below the organochlorine-rich layers was observed, possibly caused by residual cellulose from discharges of sulfite pulping wastes. FISH revealed physiologically active bacteria in most sediment layers from the surface down to the depth of about 60 cm, including members of Desulfitobacterium (D.) and Sulfurospirillum. The presence of D. dehalogenans was confirmed by its partial 16S rRNA gene sequence. Conclusions Results of chemical sediment analyses demonstrated high loads of organochlorine compounds, particularly of PCDD/F. Several years after stopping the waste water discharge to Spittelwasser creek, this sediment remains a main source for pollution of the downstream river system by way of the ongoing mobilization of sediment during high floods. As indicated by our enzyme activity measurements, the decomposition potential for organic matter is low in organochlorine-rich sediment layers. In contrast, the comparably higher enzyme activities in less organochlorine-polluted sediment layers as well as the presence of physiologically active bacteria suggest a considerable potential for natural attenuation. Recommendations and Perspectives From our data we strongly recommend to explore the degradative capacity of sediment microorganisms and the limits for in situ activity towards specific sediment pollutants in more detail. This will give a sound basis for the integration of bioremediation approaches into general concepts to reduce the risk that permanently radiates from this highly contaminated sediment. Submission Editor: Dr. Henner Hollert (Henner.Hollert@urz.uniheidelberg.de)     

化学溶胀法分离废弃线路板中金属与基板

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玛纳斯河流域生态问题的潜在风险性评估

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改善太仓城区水环境原型调水实验研究及模型建立

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河湖水系连通的理论探讨

在全球气候变化和水资源形势日趋严峻的背景下,为了从根本上提高水资源统筹配置能力、改善河湖健康状况和增强抵御水旱灾害能力,河湖水系连通作为国家新时期的一个治水方略被提出。当前关于河湖水系连通的理论基础研究要落后于实践,尚在探索之中。论文尝试从河、湖与水系等水循环基本概念入手,探讨水系的结构、特征和连通性,揭示水系连通的水循环物理机制,并进一步分析河湖水系连通的战略思想,探明其中涉及的几个关键水循环基础问题,包括水量平衡、能量平衡、水资源可再生性、水循环尺度等问题,为河湖水系连通战略的实施和理论体系的建立奠定基础。     

贵阳城市污水及南明河中氯霉素和四环素类抗生素的特征

采用固相萃取-高效液相色谱（UV检测）分析了贵阳城市污水、南明河水和沉积物中氯霉素和四环素类抗生素的特征.结果显示,南北两岸污水中氯霉素、土霉素、四环素和金霉素的平均含量分别为27.0、 2.3、 11.0、 1.1 μg·L^-1和21.2、 2.1、 9.5、 0.5 μg·L^-1,其中以氯霉素的污染为主;污水中抗生素的含量呈现明显的季节变化,这与用水量和疾病特点有关.南明河已广泛受到包括农业、养鱼塘、城市污水等来源的抗生素污染,其中城市污水是最重要的来源,受其影响,污水口下游的抗生素污染尤为严重.河水中氯霉素、土霉素和四环素在冬季的含量范围分别在2.1～19.0、ND～3.0、 0.8～6.8 μg·L^-1之间,夏季分别在0.2～1.3、ND～0.03、 0.2～0.3 μg·L^-1之间,金霉素只在冬季检出,含量范围在0.09～0.14 μg·L^-1之间;沉积物中4种抗生素在冬季的平均含量分别为147.6、 76.6、 99.2和1.6 μg·kg^-1;在夏季分别为195.8、 89.1、 34.4和9.0 μg·kg^-1.数据表明,河水中抗生素的含量受河水流量及来源特点的影响很大,冬季河水中抗生素的含量明显高于夏季;沉积物中抗生素的季节变化不明显.     

大龙潭水电站扩建小机组释放生态流量

恩施大龙潭水利枢纽于1995年5月完成环境影响评价,2003年8月开工建设,2006年5月建成投入使用,2006年10月进行竣工环保验收,验收审查时专家组发现,大坝下游至清江与带水河汇入口约700 m清江江段出现脱水现象,环保主管部门提出通过技术改造使大龙潭水利枢纽直接释放生态流量至电站坝下游,通过技术经济论证,大龙潭水利枢纽工程实施在水库大坝左岸8#坝段,将一处原用于龙凤坝自来水供给的预留管道口管道上追加连接一根长107 m直径为1.4 m的管道,将大坝上游的水引至左岸导流洞,在导流洞出口处安装一台1 600 kW小机组发电将出水直接放坝下游清江,使该河段电站坝下游脱水状态得到了恢复,经济和环境效益明显。     

废旧线路板回收的污染防治技术综述

废旧线路板回收不仅能够解决电子废弃物迅速增长带来的环境污染问题,而且可以实现资源再生利用,是中国当前鼓励发展的行业。线路板回收过程也将不可避免的带来一定环境污染问题。中国企业现阶段常用的线路板回收工艺主要包括机械物理法、湿法冶金、火法冶金、热解法等。废旧线路板的回收工艺不同,污染物产生特点也不同,企业应根据线路板回收工艺有针对性的选择污染防治措施。线路板回收过程中产生的废渣再利用应成为今后研究的重点。     

沙颍河流域行政单元的排污权初始分配研究

初始排污权的有效分配是排污权交易制度实施的基础,结合中国现行行政特征,以行政单元作为排污权初始分配主体开展排污权初始分配研究。具体是：以沙颍河流域为例,根据淮河水利委员会制定的沙颍河流域水功能区划及COD、氨氮限排总量要求,以COD、氨氮作为排污权初始分配的客体,通过等比例削减方法对沙颍河流域内的行政单元进行了排污权初始分配,得到了流域内各市县级行政单元的COD、氨氮初始排放权,并在此基础上从政策可行性、区域合作性及上下游城市的协调性等方面提出了开展排污权初始分配的若干建议。     

辽河流域畜禽养殖污染源仿真研究

随着国家对流域水质改善要求的逐渐提高,流域污染源管理变得日益重要。提出了一种基于CPNTOOLS的辽河流域畜禽养殖行业污染源仿真技术,并采用CPNTOOLS软件对辽河流域内一家典型畜禽养殖基地进行了仿真研究,经过多次仿真与数据统计分析,分别得出了该畜禽养殖基地的CODCr,BOD5,NH3-N,TP,TN日排放量的正态分布均值在90%,95%,99%置信水平下的置信区间,并结合排水量分别计算出各污染物指标排放浓度的区间。结合BAT处理技术对污染物浓度削减进行了计算仿真,并得出了处理后CODCr,BOD5,NH3-N,TP,TN排放浓度的正态分布均值在90%,95%,99%置信水平下的置信区间以及排放浓度的极大值和极小值。