人工神经网络和专家系统在污水生物处理系统中的应用

对近年来国内外污水生物处理系统中人工神经网络和专家系统的应用进行了简要的回顾。分析了废水生物处理工艺难于控制的原因及人工神经网络和专家系统的结构和特点。结果表明．国外智能控制发展迅速,并且应用领域遍及污水生物处理的各个方面,国内尚处于起步阶段。简要探讨了废水生物处理智能控制今后应深入研究的问题及方向。     

两种垃圾焚烧炉灰渣的重金属成分与放射性检测

对8种重金属As、Hg、Mn、Cr、Cu、Cd、Co、Ni和Pb在两种垃圾焚烧炉灰渣中的浓度分布,浸出毒性及放射性进行检测.样品(炉渣和飞灰)分别取自北京(循环流化床焚烧炉CFBI)和深圳(炉排焚烧炉)两台不同燃烧方式的垃圾焚烧炉.研究表明,CFBI炉渣及飞灰中的重金属As、Mn、Cu、Cd、Co含量在炉渣中含量最低,中灰次之,飞灰中含量最高.重金属Hg在炉渣和飞灰中的含量相当,在中灰中的含量最低;Cr和Ni在炉渣中的含量也偏高,在中灰和飞灰中的含量相当Pb含量依中灰、炉渣和飞灰的顺序逐渐升高.浸出毒性检测结果显示,循环流化床垃圾焚烧后炉渣及飞灰中的重金属浸出毒性远低于国家标准1～2个量级,重金属总体排放量较低.炉排炉垃圾焚烧的炉渣及飞灰中的重金属含量却高很多,尤其是Cr、Pb、Cd和Cu.放射性检测结果表明,两种焚烧所产生的灰渣放射性均低于国家标准.在排放时无需作任何放射性方面的处理.最后,对焚烧灰渣的稳定化技术进行了讨论.     

A heuristic approach to predicting water beetle diversity in temporary and fluctuating waters

An understanding of the causal mechanisms and processes that shape macroinvertebrate communities at a local scale has important implications for the management and conservation of freshwater biodiversity. Here we compare the performance of linear and non-linear statistics to explore diversity-environment relationships using data from 76 temporary and fluctuating ponds in two regions of southern England. We focus on aquatic beetle assemblages, which have been shown to be excellent surrogates of wider freshwater macroinvertebrate diversity. Ponds in the region contained a rich coleopteran fauna, totaling 68 species, which provided an excellent model system with which to compare the performance of two non-linear procedures (artificial neural networks—ANNs and generalised additive models—GAMs) and one more traditional linear approach (Multiple linear regression—MLR) to modelling diversity-environment relationships. Of all approaches employed, the best fit was obtained using an ANN model with only four input variables (conductivity, turbidity, magnesium concentration and depth). This model accounted for 82% of the observed variability in Shannon diversity index across ponds. In contrast, the best GAM and MLR models only explained 50% and 14% of this variation, respectively. Contribution profile analysis of conductivity, turbidity, magnesium concentration and depth, obtained from the best fit ANN through a hierarchical cluster analysis, allowed the identification of direct and proxy effects in relation to the environmental variables measured in this study. In each case, distinct clusters of ponds were identified in contribution profile analysis, suggesting that ponds across the two regions fall into a number of discrete groups, whose beetle faunas respond in subtly yet significantly different ways to key environmental variables. Aquatic coleopteran diversity in ponds in the two regions appears to be driven at a local scale by changes in relatively few physicochemical gradients, which are related to diversity in a clearly non-linear manner.     

Interspecific mating of the introduced bumblebee <Emphasis Type="Italic">Bombus terrestris</Emphasis> and the native Japanese bumblebee <Emphasis Type="Italic">Bombus hypocrita sapporoensis</Emphasis> results in inviable hybrids

The bumblebee Bombus terrestris is not only an effective pollinator, but also a potential invasive alien species outside its native range. Recently, nearly 30% of queens of the Japanese native species Bombus hypocrita sapporoensis and B. hypocrita hypocrita were estimated to copulate with B. terrestris males in the field, suggesting that indigenous bumblebees could be genetically deteriorated through hybrid production with the introduced species. In this study, we evaluated hybrid production between the introduced B. terrestris and the indigenous B. hypocrita sapporoensis under laboratory conditions. The hatching rate of eggs derived from interspecific matings was 0% and 8.6% depending on the direction of the cross, which was significantly lower than that from intraspecific matings of B. terrestris (76.9%) and B. hypocrita sapporoensis (78.9%). Genetic studies using microsatellite markers revealed that both haploid and diploid individuals were present in the egg stage, whereas all hatched larvae were haploid. In addition, histological studies revealed that eggs derived from interspecific matings terminated development 2 days after oviposition. These results strongly suggested that eggs derived from interspecific matings are inviable due to post-mating isolation mechanisms. Mass release of exotic pollinators could cause serious population declines of native bumblebee species.     

Occupational exposure to natural radioactivity in a zircon sand milling plant

Raw zirconium sand is one of the substances (naturally occurring radioactive material, NORM) which is widely used in the ceramic industry. This sand contains varying concentrations of natural radionuclides: mostly U-238 but also Th-232 and U-235, together with their daughters, and therefore may need to be regulated by Directive 96/29/EURATOM. This paper describes the method used to perform the radiological study on a zircon sand milling plant and presents the results obtained. Internal and external doses were evaluated using radioactivity readings from sand, airborne dust, intermediate materials and end products. The results on total effective dose show the need for this type of industry to be carefully controlled, since values near to 1 mSv were obtained.     

新旧版GB6566《建筑材料放射性核素限量》比较研究

为了方便检测机构、消费者和企业理解掌握新版GB6566-2010标准内容,笔者对与旧标准相比的主要变化、标准具体内容进行了归纳整理,并对实际应用中应注意的问题加以解析。     

Predictability of marine nematode biodiversity

In this paper, we investigated: (1) the predictability of different aspects of biodiversity, (2) the effect of spatial autocorrelation on the predictability and (3) the environmental variables affecting the biodiversity of free-living marine nematodes on the Belgian Continental Shelf. An extensive historical database of free-living marine nematodes was employed to model different aspects of biodiversity: species richness, evenness, and taxonomic diversity. Artificial neural networks (ANNs), often considered as “black boxes”, were applied as a modeling tool. Three methods were used to reveal these “black boxes” and to identify the contributions of each environmental variable to the diversity indices. Since spatial autocorrelation is known to introduce bias in spatial analyses, Moran's I was used to test the spatial dependency of the diversity indices and the residuals of the model. The best predictions were made for evenness. Although species richness was quite accurately predicted as well, the residuals indicated a lack of performance of the model. Pure taxonomic diversity shows high spatial variability and is difficult to model. The biodiversity indices show a strong spatial dependency, opposed to the residuals of the models, indicating that the environmental variables explain the spatial variability of the diversity indices adequately. The most important environmental variables structuring evenness are clay and sand fraction, and the minimum annual total suspended matter. Species richness is also affected by the intensity of sand extraction and the amount of gravel of the sea bed.     

Modelling spatial distribution of hard bottom benthic communities and their functional response to environmental parameters

In this study we analyzed and modelled spatial distribution of hard bottom benthic communities in the Lagoon of Venice, and used the model to derive functional response of these communities to changing environmental conditions.     

膜组合工艺对地下水中铀的去除及其微生物群落特征

含铀地下水因具有放射性和化学毒性对人类健康构成严重威胁,常规工艺有时无法有效去除地下水铀故需增加处理工艺以满足饮用水水质要求.以我国某地膜组合工艺处理工程为研究对象,监测了6个月运行过程中铀去除效果及常规水质参数,并对各工艺阶段出水及生物膜进行样品采集.结合水质分析与高通量测序探讨了不同工艺段出水水质参数变化,微生物群...     

不同填料人工湿地处理系统的净化能力研究

研究了沸石、沸石－石灰石、石灰石3种填料的人工湿导的净化能力。结果表明：（1）沸石和石灰石混合使用，不会降低沸石吸附氨氮的能力；（2）沸石可促使难溶性P的释放，使得石灰石吸附P被植物和微生物吸收利用；（3）沸石和石灰石发生了协同作用，对TN、TP的去除效果均好于其单独使用。