乐安江鄱阳湖河口沉积物样品生态效应的初步

对乐安江鄱阳湖河口三个沉积物样品中主要污染元素含量的分析，表明存在重金属Ｃｕ和Ｚｎ污染。用模拟湖水对沉积物进行溶出实验，上清液金属含量符合国家地表水质量标准。成组生物检验结果表明，三个沉积物样品对无脊椎动物和发光菌均无急性毒性。但对光合藻类的生长有抑制作用。初步用毒性鉴定和评价方案进行的研究结果表明，抑制作用主要由阳离子类型污染物引的。     

黄河中下游表层沉积物中多氯联苯的污染特征

对采自黄河中下游地区12个站点17个表层沉积物样品中的多氯联苯进行了定量分析测定,并讨论了多氯联苯在沉积物中的污染特征.结果表明:①黄河中下游表层沉积物中多氯联苯的浓度范围为ND—5·98μg·kg~(-1),受污染程度较轻;②沉积物样品中多氯联苯同族体的组成特征非常相似,都以含3—5个氯原子的PCB同族体为主,占多氯联苯总量的94·68%以上,且在大多数样品中含量顺序为:四氯联苯>三氯联苯>五氯联苯;③该地区表层沉积物中多氯联苯的含量与TOC和沉积物的机械组成无明显相关性,这可能与黄河中下游复杂的水利条件和沉积物自身的理化性质有关.     

长江口潮滩沉积物的性状对重金属累积的影响

采集长江口无明显点源污染的崇明东滩和九段沙潮滩56个沉积物样品,测定沉积物原样和粘粒中Cu．Zn,Pb,Cr,Cd和Ni的含量以及沉积物的主要性状（粒径分布、游离铁、活性铁、总铁、游离锰、总锰、有机碳和磁化率等）,以相关分析和偏相关分析研究沉积物中重金属含量与沉积物主要性质之间的关系．结果表明,沉积物中粘粒的Cu,Zn,Pb,Cr和Ni含量分别是相应沉积物原样的2．3,3．3,2．0,1．7和2．1倍．潮滩沉积物粘粒的含量是影响重金属累积的主要因素．潮滩沉积物中的磁化率与重金属含量呈显著相关性,表明利用磁信息研究潮滩重金属污染的可行性．     

滏阳河河流水体中重金属污染特征及其对青海弧菌和斜生栅藻的毒性效应

为调查滏阳河水系的重金属污染状况,研究河流重金属污染对水生生物的毒性,根据河流结构、水文条件、排污口分布并考虑空间分布的均匀性,选取66个采样位点,采集河水及对应的表层沉积物样品,分析了样品中的重金属含量。用斜生栅藻和青海弧菌Q67作为模式生物,根据滏阳河水重金属污染较严重的邯郸近郊2号采样点采集水样的重金属含量配制系列重金属浓度的模拟河水进行重金属污染河水的生态毒性测试。结果表明,在全部66个采样点中,29个采样点河水重金属含量超过国家地表水III类水体重金属含量标准,主要污染元素是Hg、Pb、Cr、Zn。几乎所有采样点河水Mn和Fe含量都大大高于国家集中式生活饮用水地表水源地补充项目规定的标准限值。根据2号采样点河水样品中的重金属含量配成的模拟河水对青海弧菌Q67的EC_(50)值为6.65%,为毒性极强的污染物。模拟河水样品对斜生栅藻的抑制作用较小,在实验的最高浓度下(1 000倍河水重金属含量)暴露4 d尚未引起半数藻细胞死亡。随河水重金属浓度上升,斜生栅藻超氧化物歧化酶(SOD)活性总体上呈现先升高后降低的趋势,丙二醛(MDA)含量变化则与此相反,反映河水重金属污染可引起藻细胞的氧化损伤。叶绿素a和b含量则随暴露浓度的提高逐渐降低。在重金属浓度达到2号采样点河水的10%时,斜生栅藻叶绿素a含量已有显著降低,MDA含量显著升高,海河流域重金属污染对生态系统的影响应予以重视。河水发光菌Q67的生长抑制率、斜生栅藻的叶绿素a和MDA含量可以作为评估河流重金属污染生态危害的指标。     

胶州湾贝类养殖区沉积物中汞分布与无机汞不同结合态的初步探究

为了研究贝类养殖对沉积物中汞的分布与不同结合态的影响,2012年5月至2013年5月在胶州湾的红岛、黄岛、胶南以及营海贝类养殖区采集55份沉积物样品,分别用冷原子吸收法和连续提取法测定其总汞及不同结合态汞的含量.研究结果表明,胶州湾贝类养殖区沉积物中总汞含量范围为0.037—0.228 mg·kg~(-1),其中红岛养殖区汞含量最高,超过环境背景值3.2倍.总汞含量在垂直方向上呈从底部到表层增加的趋势,且在沉积物表层富集.通过对比不同区域及不同年代胶州湾表层沉积物总汞含量,发现贝类养殖使得胶州湾养殖区沉积物汞污染程度加重.此外,沉积物中汞主要以残渣态为主,占总汞含量的31.46%,交换态与可溶态所占比例最少,仅占总汞含量的9.06%.几个养殖区域的汞污染程度依次为:红岛营海黄岛胶南,汞的潜在生态风险因子计算结果表明,胶州湾养殖区沉积物存在中等以上的生态风险.     

大源渡库区表层沉积物中重金属污染状况

为了了解大源渡库区 (湘江衡阳段 )合坝发电后重金属的污染状况 ,于 1 999年 8月和 2 0 0 0年 8月分别对库区 1 2个断面表层沉积物样品中重金属的含量进行测定 .在以往工作的基础上 ,将合坝发电后重金属的含量与背景值、历史值进行比较分析 ,并用地质积累指数法和潜在生态危害指数法对库区水系的重金属污染和生态危害进行了评价 .1　样品采集与分析本调研共设 1 2个断面 .每个断面设左、右 2个采样点 .采集的样品为 5ｃｍ以内的表层沉积物 .将样品在室温风干 ,研碎 ,过 1 0 0目筛 .用标准方法对样品中的Ｃｒ,Ｐｂ ,Ａｓ,Ｈｇ,Ｃｄ ,Ｃｕ ,Ｚ…     

胶州湾沉积物中多溴联苯醚的污染特征及风险评价

2015年8月,在胶州湾及邻近海域设置11个采样点,采集表层沉积物,采用索式抽提,利用气相-质谱联用测定了样品中14种多溴联苯醚(PBDEs)的含量,分析了PBDEs的分布与组成特征,探讨了含量与沉积物理化性质的关系,与世界上不同海域沉积物中PBDEs的含量进行了比较,并对其生态风险进行了评价.结果表明,胶州湾沉积物中14种PBDEs总含量的均值为7.48 ng·g~(-1),其中BDE209的均值为6.20 ng·g~(-1).胶州湾东岸海域PBDEs的含量要高于西岸海域,湾内海域的含量高于湾外.BDE209是主要的同系物,其次是BDE47、BDE71.除BDE209外的13种PBDEs的总含量和BDE209含量均与沉积物中的总有机碳含量呈显著正相关关系.与其他海域相比,胶州湾沉积物中PBDEs的含量低于污染严重的欧洲海域,高于中国部分海域.胶州湾海域的PBDEs主要是由陆源污染带来的十溴联苯醚的污染,同时存在商业五溴联苯醚产品的污染.四溴、五溴、十溴联苯醚具有潜在的低和中等生态风险.     

上海市河网水体中As的分布特征及其生态风险评价

2012年4月,在上海市河网采集表层水和沉积物样品各53个,测定其As含量,并采用潜在生态风险指数法对沉积物As的污染状况进行了评价。研究结果表明,上海市河网表层水和沉积物中As的含量分别为0.47～8.84μg·L-1和3.72～12.65μg·g-1,其中表层水中As的浓度处于中国地表水环境质量标准Ⅰ类水平,沉积物中As的浓度有15个样点超过了上海市土壤背景值,但均低于欧盟标准推荐值;表层水中As的浓度与pH呈显著正相关,说明pH值影响河水中As的迁移和转化;沉积物中As的浓度与总有机碳含量呈显著性正相关,说明沉积物中的As主要与总有机碳结合在一起;潜在生态风险评价结果显示,上海市河网沉积物中的As属于低生态风险。     

长江水系沉积物中重金属的赋存形态

分析了长江干流和主要支流的沉积物样品中重金属(Cu,Zn,Pb,Cd,Cr,As,Hg)的含量和赋存形态.结果表明:除Zn外,长江流域水系沉积物中重金属的污染程度总体呈上升趋势,其中,Cd的污染较为严重,Cd主要以可交换态的形式存在,长江水系沉积物中Zn,Pb以及Cu具有相似的同源性,而Cd,As,Hg以及Cr则另为一类.     

北京大学未名湖沉积物中主要重金属250年以来的变化

20 0多年来 ,未名湖没有进行修建 ,湖泊沉积物基本没有受到人为搅动 ,因此 ,它是湖泊周边地区环境变化的良好“指示剂” .为了深入了解未名湖沉积物中重金属的变化及污染影响 ,在湖心对沉积物进行了系统采样 ,对样品进行了主要重金属随深度变化的分析 ,并采用地积累指数法对未名湖沉积物中重金属的含量进行评价 .结果表明 :未名湖沉积物还未受到重金属污染 .1　布点采样根据未名湖的进、出水状态 ,布置 7个采样点 .从钻取的 7孔沉积物柱芯来看 ,底层厚度一般在5 0ｃｍ左右 .以未名湖中心的Ｗ 1 0孔为例 ,其上部为深灰色淤泥 ,厚 1 5ｃｍ ;中…     

粒状铁与甲醇支持的生物-化学联用法去除富氧地下水中硝酸盐

针对富氧地下水中硝酸盐,采用粒状铁和甲醇支持的生物-化学联用法开展了批实验研究,优化了脱氮反应参数,初步探讨了脱氧脱氮的能力及途径。结果表明,该法的优化参数是粒状铁种类为GI-北京,m（粒状铁）∶m（水）为3∶800,粒状铁粒径为0.425~1.0 mm,反应时间为5 d,甲醇用量为210.59 mg.L-1。生物-化学法、粒状铁和好氧异养菌完全脱氧所需的时间分别是174、206和2 746 min。生物-化学法脱氧依赖于粒状铁化学还原和好氧异养菌有氧呼吸,并且前者起着关键作用。随着反应时间的增加,异养脱氮、自养脱氮和化学还原各自引起的NO3-去除率亦增加。当反应时间≤5 d时,自养脱氮和化学还原的去除率均〈10%,而当反应时间为5 d时,生物-化学法的NO3-去除率达到近100%。生物-化学法内存在异养脱氮、自养脱氮和化学还原3种脱氮途径,其中异养脱氮是最主要的途径,且三者存在共生、协同和促进作用。生物-化学法脱氮期间硝酸盐还原速率≥亚硝酸盐还原速率。生物-化学法去除地下水中硝酸盐是有效可行的。     

An integrated investigation of biomarkers’ response in crabs (Liocarcinus depurator) and benthic indices at a metalliferous waste discharge area in North Evoikos gulf,Greece

This study applied biomarkers and benthic indices at an area in North Evoikos Gulf, Greece, affected by metalliferous slag disposal. Biomarkers of antioxidant defense (catalase, glutathione S-transferase), and neurotoxicity (acetylcholinesterase) were measured in crabs Liocarcinus depurator. Iron (Fe), chromium (Cr), nickel (Ni), manganese (Mn), copper (Cu), and zinc (Zn) concentrations in sediments and crabs were also measured. High levels of all metals were found in sediments at the disposal area. Metal levels in the crabs were also higher in the disposal area although spatial differences were not as marked as in the sediments. Accordingly, biomarker responses of crabs in the disposal area were also noted suggesting impact on the antioxidant defense of the organisms against oxidative stress. Benthic indices showed disturbance in the disposal area. The combined approach of measuring biomarkers and contaminant levels in the crabs and sediment was complementary to the benthic indices approach providing indications of metal exposure related effects. Our results support the idea that a twofold monitoring approach of assessing both the benthic community structure shifts and the biomarkers and metal accumulation levels may integrate and capture both the structural and the toxicological effects of dumping onto the benthic communities.     

Improving inverse model fitting in trees—Anisotropy,multiplicative effects,and Bayes estimation

Model fitting for individual-based effects in forests has some problems. Because samples measuring the separate influence of each individual are rarely available, the measured value in the sample represents the influence of all surrounding individual trees. Therefore, it is helpful to build inverse models that use the spatial pattern of the variable as well as that of the source trees. For example, since seed dispersal is influenced by wind effects, a model is discussed describing anisotropic effects to ensure an unbiased estimate of the total fruit number. Further, we present a model describing the absorption of radiation by trees. In this case a multiplicative combination of individual effects yields the total effect. Our approach uses logarithmic transformations of the original data to model multiplicative combinations as sum of transformed single effects. For fitting model parameters we propose an approach based on Bayesian statistics, to ensure ecologically interpretable parameters.     

A proposal for improving the measurement of benefits from pollution abatement

Two basic and competing approaches for measuring the benefits of pollution abatement have found support in the recent literature-the property value approach and the health damage function approach. The purpose of this paper is to show that conditions will often exist when the property value approach will not accurately measure all benefits and conditions will always be present that cause the health damage function approach to underestimate benefits. In general, neither approach can stand alone. It is possible, however, that the two approaches can be combined in such a way as to improve the measurement of abatement benefits. We present an approach for combining these two methods and do so by introducing an “information coefficient” that measures the degree of knowledge about pollution effects held by the public. Approaches to estimating the information coefficient are suggested.     

Control strategies for disinfection byproducts by ion exchange resin,nanofiltration and their sequential combination

● Effects of AER adsorption and NF on DBP precursors, DBPs, and TOX were examined. ● A treatment approach of resin adsorption followed by nanofiltration was developed. ● Both DOC and Br⁻ could be effectively removed by the sequential approach. ● DBPs, TOX, and cytotoxicity were significantly reduced by the sequential approach. Disinfection byproducts (DBPs) are emerging pollutants in drinking water with high health risks. Precursor reduction before disinfection is an effective strategy to control the formation of DBPs. In this study, three types of anion exchange resins (AERs) and two types of nanofiltration (NF) membranes were tested for their control effects on DBP precursors, DBPs, and total organic halogen (TOX). The results showed that, for AER adsorption, the removal efficiencies of DBP precursors, DBPs, and TOX increased with the increase of resin dose, and the strong basic macroporous anion exchange resin (M500MB) had the highest removal efficiencies. For NF, the highest removal efficiencies were achieved at an operating pressure of 4 bar, and the membrane (NF90) with a smaller molecular weight cut-off, had a better control efficiency. However, AER adsorption was inefficient in removing dissolved organic carbon (DOC); NF was inefficient in removing Br⁻ resulting in insufficient control of Br-DBPs. Accordingly, a sequential approach of AER (M500MB) adsorption followed by NF (NF90) was developed to enhance the control efficiency of DBPs. Compared with single AER adsorption and single NF, the sequential approach further increased the removal efficiencies of DOC by 19.4%–101.9%, coupled with the high Br⁻ removal efficiency of 92%, and thus improved the reduction of cyclic DBPs and TOX by 3.5%–4.9%, and 2.4%–8.4%, respectively; the sequential approach also reduced the cytotoxicity of the water sample by 66.4%.     

Ecological metrics of biomass removed by three methods of purse-seine fishing for tunas in the eastern tropical Pacific Ocean

An ecosystem approach to fisheries management is a widely recognized goal, but describing and measuring the effects of a fishery on an ecosystem is difficult. Ecological information on the entire catch (all animals removed, whether retained or discarded) of both species targeted by the fishery and nontarget species (i.e., bycatch) is required. We used data from the well-documented purse-seine fishery for tunas (Thunnus albacares, T. obesus, and Katsuwonus pelamis) in the eastern tropical Pacific Ocean to examine the fishery's ecological effects. Purse-seine fishing in the eastern tropical Pacific is conducted in 3 ways that differ in the amount and composition of target species and bycatch. The choice of method depends on whether the tunas are swimming alone (unassociated sets), associated with dolphins (dolphin sets), or associated with floating objects (floating-object sets). Among the fishing methods, we compared catch on the basis of weight, number of individuals, trophic level, replacement time, and diversity. Floating-object sets removed 2-3 times as much biomass as the other 2 methods, depending on how removal was measured. Results of previous studies suggest the ecological effects of floating-object sets are thousands of times greater than the effects of other methods, but these results were derived from only numbers of discarded animals. Management of the fishery has been driven to a substantial extent by a focus on reducing bycatch, although discards are currently 4.8% of total catch by weight, compared with global averages of 7.5% for tuna longline fishing and 30.0% for midwater trawling. An ecosystem approach to fisheries management requires that ecological effects of fishing on all animals removed by a fishery, not just bycatch or discarded catch, be measured with a variety of metrics.     

有机污染物对藻类毒性的测定

藻类是研究水生毒理学的很好的材料之一，对其毒性是评价化合物危害的基本数据，也是研究化合物结构与生物效应的手段之一，通过测定工业废水，数种硝基芳烃及多种有机锡对藻类的毒性，发现剂量与效应时间有很好的相关性，化合物结构与效应之间也有一定的规律。     

Structural equation-based latent growth curve modeling of watershed attribute-regulated stream sensitivity to reduced acidic deposition

Little information is available about the effects of watershed attributes on long-term stream chemical responses to reduced acidic deposition. Long-term chemical data (1980-2006) for 21 stream sites from the Appalachian Mountain region and data of 8 watershed attributes of the corresponding watersheds were analyzed to study such effects. Latent growth curve modeling (LGM), a structural equation modeling (SEM) approach, was conducted to quantify stream sensitivity to reduced acidic deposition in the region, and to model the initial chemical conditions (intercepts) and changing rates (slopes) in three time periods: 1980s, 1990s, and 2000s. The modeled chemical trends were generally consistent with those trends which were detected by trend analyses in a previous study. Watershed attributes including area, mean elevation, percentage of developed land, percentage of grassland, percentages of shale and sandstone, percentage of barren land, and percentage of soil type Gilpin-Upshur-Vandalia (GUV) were found to affect stream sensitivity to the reduced acidic deposition with their importance in the respective order. The stream sensitivity in turn regulated streams’ chemical initial conditions and their changing rates in the studied watersheds. This innovative application of LGM for modeling long-term chemical trends advanced our understanding of the role of watershed attributes in regulating streams’ responses to reduced acidic deposition. This approach can be applied for evaluating streams’ responses to acidic deposition in other regions and, more broadly, for studying causal effects on long-term behaviors in other ecological and environmental science subjects.     

人工湿地填料有机堵塞问题的化学溶脱法室内模拟

用化学溶脱法解决人工湿地填料的有机堵塞,结果表明:用碱类、酸类、强氧化剂和洗涤剂可以使有效孔隙率和渗透系数均有不同程度的增加,以强氧化剂类(次氯酸钠)最为明显,可以使渗透系数恢复到原来的69%;三种溶液都对基质中的微生物类群和基质酶产生了伤害,但是经过7d可以基本恢复,说明解决人工湿地有机堵塞的问题可以借鉴和尝试"溶脱法".     

An individual-oriented model for ecological risk assessment of wading birds

The contribution of certain contaminants to reproductive failure in many avian species has been an ongoing concern. Appropriate quantitative techniques have focused either on the individual organisms by providing explicit bioaccumulation dynamics or on whole ecosystems by looking at the fate of the contaminant but fail to make the necessary link via population dynamics of interacting individuals. We used the individual-oriented approach in an effort to quantify effects of chronic contaminant exposure on individual birds. This was made possible by the use of an object-oriented model, where individual birds are interacting objects, and their actions are implemented by passing to them appropriate messages. Using this modeling approach a breeding colony of Great Blue Herons (Ardea herodias) is simulated as an assemblage of interacting individuals whose daily actions (foraging, growth, feeding of the young) are simultaneously followed over short time intervals for a nesting season. Spatial distribution of the contaminants in prey resources is used on a cell by cell basis and their effects on certain behavior characteristics of adult birds (e.g. foraging efficiency, effects on flying efficiency, parental care) are taken into account. Results showed that sublethal effects could have a considerable effect on colony success. Appropriate selection of endpoints for risk assessment yields a variety of scenarios for colony success.