Adsorption mechanism of Zn2+, Ni2+, Cd2+, and Cu2+ ions by carbon-based adsorbents: interpretation of the adsorption isotherms via physical modelling

Environmental Science and Pollution Research - A theoretical physicochemical and thermodynamic investigation of the adsorption of heavy metals Zn2+, Cd2+, Ni2+, and Cu2+on carbon-based adsorbents...     

南海球形棕囊藻质体16SrDNA序列分析

测定了采自香港2株球形棕囊藻和湛江1株等鞭金藻质体16SrDNA基因序列,结合GenBank中下载的32条同源序列,分析序列特征并构建分子系统树。发现600bp序列中有可变位点42个,简约信息位点33个,可变位点和简约信息位点分别为全序列的7．0％和5．5％。A＋T的含量（52．5％）略大于C＋G含量（47．5％）,与已报道的棕囊藻属叶绿体和线粒体基因相似;在分子系统树上,同属藻种聚类在一起,属间遗传距离分别为0．0255-0．0503。棕囊藻属属内遗传距离0-0．0050,不同藻种相混杂,并未独立成支;质体16srDNA部分序列虽不能区分棕囊藻属内不同藻种,但能鉴定出GenBank中27个环境样品为棕囊藻属藻株,从而能确定其地理分布和相对丰度,对棕囊藻赤潮的预测预报具有重要意义。质体16srDNA在其他赤潮藻类物种鉴定方面的应用需要进一步研究。     

地震动关键特性对隔震连续梁桥碰撞响应的影响

为考虑地震动特性对隔震连续梁桥顺桥向主梁与桥台碰撞响应的影响,以某三跨混凝土隔震连续梁桥为例,基于ABAQUS建立了考虑混凝土材料损伤及三维接触碰撞的有限元模型。采用12条典型地震动输入,分析了不考虑碰撞时地震动峰值加速度与峰值速度的比值(PGA/PGV)对主梁顺桥向最大位移的影响;并进一步分析了考虑碰撞效应时PGA/PGV对主梁碰撞响应的影响;在此基础上,以一条典型地震动为例,分析了地震动峰值加速度对碰撞响应的影响。结果表明,当不考虑碰撞效应时,主梁顺桥向最大位移随着PGA/PGV的增大而呈现减小趋势;考虑碰撞时,碰撞次数和最大碰撞力的变化具有一定的相似性,但随PGA/PGV的变化并不明显。随着伸缩缝间隙的不同,最大碰撞力随着峰值加速度的增加既可能表现出线性增加的特征,也可能表现出较大波动。     

Construction safety: An analysis of systems failure: The case of the multifunctional Bos & Lommerplein estate,Amsterdam

Bos & Lommer is a district in the west of Amsterdam. The new centre, consisting of the district office, 96 apartments, a few dozen businesses and shops, a two-storey parking lot with capacity for more than 500 cars, and a market place, was completed in 2004. Less than 2 years later, in July 2006, this whole multifunctional complex had to be urgently cleared, because its safety could not be guaranteed.The investigations revealed that the planning and realisation of the Bos & Lommer complex were anything but exceptional. What happened there could have happened anywhere in the Netherlands and possibly elsewhere.This paper analyses the decision-making process in the planning and construction of the Bos & Lommerplein estate on the basis of accident causation theories. It will ascertain which safety science methodology is best equipped to describe and analyse the events in this multifunctional estate. The analysis forms the basis for a reflection on a set of concrete guidelines for designing and constructing complex projects. Construction safety would be enhanced if the scope for improvement in decision-making on complex building projects were properly utilised.     

Auditing the Assessment of the Environmental Impacts of Planning Projects

This paper presents the results from a post-auditing study-a comparison of the predictions of environmental impacts of projects made in environmental statements prior to developmentwith those that actually occurred upon or after development. The purpose of post-auditing is to provide an analysis of prediction performance in environmental impact assessment and thus to improve future practice by learning from experience. By means of a combination of site visits, interviews and document scrutiny, 865 predictions from 28 UK projects granted planning permission were examined. Of these, 488 (56%) were auditable, of which 383 (79%) were deemed 'accurate' or 'nearly accurate' and 105 (21%) 'inaccurate'. The remaining 377 (44%) predictions were not auditable, the main reasons being lack of data, vague or ambiguous predictions and time dependency.There were only six unpredicted impacts. The study reveals some encouraging findings, but also a number of discouraging ones, which indicate the need to increase both enthusiasm for, and implementationof, post-auditing activities. Several suggestions are made to help achieve these objectives.     

Analyses of phenolic compounds occurring in olive oil mill wastewaters by GC–MS

Phenolic compounds in olive oil mill wastewaters were analysed by HRGC–MS after extracting the acidified solution with ethyl acetate and derivatization with N,O-bis(trimethylsilyl)trifluoroacetamide. Both simple and complex phenols were detected with the latter being the most abundant. 1,2-dihydroxybenzene (catechol), p-hydroxyphenyl ethanol (tyrosol), 3,4-dihydroxyphenyl ethanol (hydroxytyrosol) and 4-hydroxy-3-methoxyphenyl ethanol (homovanillyl alcohol) predominated among the simple phenols using a gas chromatograph coupled with a mass selective detector.     

Polychlorinated biphenyl spatial patterns in San Francisco Bay forage fish

Industrialized waterways frequently contain nearshore hotspots of legacy polychlorinated biphenyl (PCB) contamination, with uncertain contribution to aquatic food web contamination. We evaluated the utility of estuarine forage fish as biosentinel indicators of local PCB contamination across multiple nearshore sites in San Francisco Bay. Topsmelt (Atherinops affinis) or Mississippi silverside (Menidia audens) contamination was compared between 12 targeted sites near historically polluted locations and 17 probabilistically chosen sites representative of ambient conditions. The average sum of 209 PCB congeners in fish from targeted stations (441 ± 432 ng g^?1 wet weight, mean ± SD) was significantly higher than probabilistic stations (138 ± 94 ng g^?1). Concentrations in both species were comparable to those of high lipid sport fish in the Bay, strongly correlated with spatial patterns in sediment contamination, and above selected literature thresholds for potential hazard to fish and wildlife. The highest concentrations were from targeted Central Bay locations, including Hunter’s Point Naval Shipyard (1347 ng g^?1; topsmelt) and Stege Marsh (1337 ng g^?1; silverside). Targeted sites exhibited increased abundance of lower chlorinated congeners, suggesting local source contributions, including Aroclor 1248. These findings indicate that current spatial patterns in PCB bioaccumulation correlate with historical sediment contamination due to industrial activity. They also demonstrate the utility of naturally occurring forage fish as biosentinels of localized PCB exposure.     

Analysis and prediction of $$\mathrm{PM}_{10}$$ concentration levels in Tunisia using statistical learning approaches

Over the past years, the health impact of airborne particulate matter \(\mathrm{PM}_{10}\) has become a very topical subject. Thereby, a lot of research effort in the environmental sciences goes towards the modeling and the prediction of ambient \(\mathrm{PM}_{10}\) concentrations. In this paper, we are interested in the statistical classification of the daily mean \(\mathrm{PM}_{10}\) concentration in Tunisia according to the authority regulation. We consider two monitoring stations: a big industrial station and a traffic station. The main goal of this work is to determine the pertinent predictors of \(\mathrm{PM}_{10}\) concentration within a nonlinear multiclass framework. To do this, we used two popular statistical learning methods; the support vector machines (SVM) and the random forests (RF). The statistical results obtained on the real datasets, show that RF outperform SVM for the purpose of variable selection even with a reduced number of observations compared to the number of explicative variables. It was also demonstrated that the \(\mathrm{PM}_{10}\) concentration measured yesterday is the most relevant predictor of its present-day value. Moreover, we found that the more delayed values of \(\mathrm{PM}_{10}\) concentration may be crucial to get an accurate prediction.