中国GBZ2.1与德国MAK工作场所化学有害因素职业接触限值比较研究

系统比较中国现行职业接触限值标准GBZ2.1-2007与德国职业接触限值MAK在定义、制定原则和具体数值方面的差异,为中国GBZ2.1的修订提供建议和依据。将 GBZ2.1中规定的OELs与德国MAK于2015年公布的化学有害因素 OELs ,按不同类型建立比较分析数据库,并进行比较分析,分析结果表明:中德2国在职业接触限值的制定原则,化学有害因素的来源、数量与标识等方面有显著差异。 因此,我国应加强对化学性有害因素孕期毒性接触限值的研究和应用。中德在选择化学性有害因素制定OELs时各有侧重,我国在重金属方面制定的OELs,如:钴、钼、铍、铊等,是德国MAK以及美国ACGIH中所未有的,而德国则不再为致癌物质制定OELs。中、德均制定有OELs的化学性有害因素在数值上差异较大,中国有部分OELs同时高于德国MAK和美国ACGIH。我国的职业接触限值更新频率较慢,应缩短OELs更新周期,在对现行的GBZ2.1进行制修订时,可将发达国家OELs作为1项参考。德国风险分级评估方法对致癌物质的管理和评估值得进一步探讨及研究。     

滤筒法测定水中悬浮物的实践

采用重量法用滤筒替代滤膜进行测定水中悬浮物的比对实验,实验结果表明:滤筒测定水中悬浮物比滤膜测定水中悬浮物更具有易恒重、测定误差小、准确度高、快速、简便、成本低等优点,适合水质监测应用。     

反应性气体观测中标准气的误差问题及建议

通过制定严格的质量保证和质量控制措施,在实验室对不同的国产标准气与同一的具有NIST标准的进口标准气进行定量比对.结果发现,国内不同厂家生产及同一厂家生产不同批次的标准气,特别是SO2和NO标准气,其出厂浓度与比对后的浓度间存在较大的偏差.在所有比对结果中,有2/3的SO2标准气样品超过±5%的相对偏差,有1/3的SO...     

Distribution-free two-sample comparisons in the case of heterogeneous variances

Behavioral ecologists are often faced with a situation where they need to compare the central tendencies of two samples. The standard tools of the t test and Mann–Whitney U test (equivalent to the Wilcoxon rank-sum test) are unreliable when the variances of the groups are different. The problem is particularly severe when sample sizes are different between groups. The unequal-variance t test (Welch test) may not be suitable for nonnormal data. Here, we propose the use of Brunner and Munzel’s generalized Wilcoxon test followed by randomization to allow for small sample sizes. This tests whether the probability of an individual from one population being bigger than an individual from the other deviates from random expectation. This probability may sometimes be a more clear and informative measure of difference between the groups than a difference in more commonly used measures of central tendency (such as the mean). We provide a recipe for carrying out a statistical test of the null hypothesis that this probability is 50% and demonstrate the effectiveness of this technique for sample sizes typical in behavioral ecology. Although the test is not available in any commercial software package, it is relatively straightforward to implement for anyone with some programming ability. Furthermore, implementations in R and SAS are freely available on the internet.     

Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia

Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO₂ concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO₂ concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO₂ concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.     

佛山,市新区排水制度的论证

排水制度的选择是城市总体规划阶段要求确定的重要任务之一。而排水制度的选择应从一个城市的具体情况出发,经过经济技术比较方能得出结论。本文着重介绍了在佛山市总体规划修编时,通过对本市地形、地貌、地质、水文、气象、水体情况、人文景观、社会发展要求,以及城市财政能力等情况综合分析研究,确定新区排水制度的论证过程。     

Application of a temperature-dependent von Bertalanffy growth model to bullhead (Cottus gobio)

The most studied and commonly applied model of fish growth is the von Bertalanffy model. However, this model does not take water temperature into account, which is one of the most important environmental factors affecting the life cycle of fish, as many physiological processes that determine growth, e.g. metabolic rate and oxygen supply, are directly influenced by temperature. In the present study we propose a version of the von Bertalanffy growth model that includes mean annual water temperatures by correlating the growth coefficient, k, explicitly and the asymptotic length, L_∞, implicitly to water temperature. All relationships include parameters with an obvious biological relevance that makes them easier to identify. The model is used to fit growth data of bullhead (Cottus gobio) at different locations in the Bez River network (Drme, France). We show that temperature explains much of the growth variability at the different sampling sites of the network.     

大气光化学烟雾反应机理比较(Ⅰ)O3和NOx的比较

在相同初始和排放条件下,对四种应用较广的光化学烟雾反应机理(CB4-99,RADM2,RACM,SAPRC99)进行了比较.研究发现对于O3,在低VOCs/NOx时,四种机理模拟结果相关较小,平均相对标准偏差为7%,在高VOCs/NOx时,平均相对标准偏差为26%,差距较大;对于NOx,多数情况下RACM和RADM2的模拟结果较高,CB4-99和SAPRC99的模拟值偏低,其原因主要来源于不同机理中O3的生成对NOx及VOCs的敏感性不同而造成的.在用模式模拟O3和NOx时,应特别注意机理不同而带来的模拟结果差异.     

不同采样方法测算结果的分析与比较

通过瞬时采样、等时采样、等比例采样测算结果的分析和比较 ,说明用等比例采样法采集水样并核定出污染物的排放总量 ,解决了水样的代表性问题。     

岛津TNP-4110在线分析仪的日常维护

从数据比对、硬件维护两个方面探讨岛津TNP-4110在线仪的日常维护问题。通过分析各种干扰因素来查找造成数据比对差异的原因并提出相应解决措施。在仪器日常维护上设立不同周期保养计划、共享设备维护经验,结合实践制定了合适的检修流程图。