Norwegian Meteorological Institute’s real-time dispersion model snap (Severe Nuclear Accident Program): Runs for ETEX and ATMES II experiments with different meteorological input

The Norwegian Meteorological Institute (DNMI) has developed and implemented for operational use a real-time dispersion model Severe Nuclear Accident Program (SNAP) with capability for predicting concentrations and depositions of the radioactive debris from large accidental releases. SNAP has been closely linked to DNMI’s operational numerical weather prediction (NWP) models.How good are these predictions? Participation in ETEX has partly answered this question. DNMI used SNAP with LAM50S giving meteorological input for these real-time dispersion calculations. LAM50S Limited Area Model with 50 km grid squareswas DNMI’s operational NWP model in 1994 when ETEX took place.In this article we report on how SNAP performed in the first of the ETEX releases in near-real-time mode, using LAM50S—and in hindcast mode for ATMES II, using “ECMWF 1995: ETEX Data set (ATMES II)”as meteorological input data. These two input data sets came from NWP models with quite different characteristics but with similar resolution in time and space.The results from these dispersion simulations matched closely. Deviations early in the simulation period shrank to insignificant differences later on. Since both input data sets were based on “weather analysis” and had similar resolution in space and time, SNAP described the dispersion of the released material very similar in these two simulations.     

高效菌PACT法处理染料废水实验研究

采用高效菌PACT法处理染料废水 ,结果表明该法CODCr去除率为 88% ,与普通活性污泥法比较提高 10 %。高效菌PACT法处理染料生产废水方法稳定 ,经半年的试运行 ,出水的CODCr、pH、色度均达国家排放标准。     

线源扩散的快速模拟

提出了一种计算风向与线源成任意角时任意长地面线源大气扩散的简化模式。通过与数值积分方法计算结果的比较表明,模式的最大相对误差在风向与线源平行时最大,但不超过18％。随风向与线源夹角的增大,相对误差迅速减小,当夹角大于5°时,已小于2％。为城镇公路网大气扩散的快速、准确模拟提供了新手段。     

Implications of Atmospheric Change for Biodiversity of Aquatic Ecosystems in Canada

Overall, the greatest threats to Canadian and global biodiversity are associated with conversions of natural ecosystems to anthropogenic ones, and over-exploitation of biological resources. This circumstance does not, however, trivialize the importance of atmospheric influences. Although scientific understanding of the risks is incomplete, it is nevertheless clear that anthropogenic changes in atmospheric stressors are potentially damaging to biodiversity and other ecological values over medium- and longer-term scales. It is important that greater investments be made in support of longer-term monitoring and research designed to understand the effects of atmospheric and other environmental stressors on the biodiversity and structure and function of Canadian ecosystems.     

Maximum ground level concentration for Gaussian plume formula using standard and Briggs methods

This work aims to determine the maximum concentration and downwind distance at the earth's surface in two methods Briggs and standard for two conditions are slightly unstable and neutral by using the Gaussian equation at different effective heights and wind seeped at (8.9, 8.5 and 8 m/s) under lateral and vertical dispersion coefficient measurement.     

持久性有机污染物环境多介质空间分异模型研究进展

环境多介质空间分异模型能够对持久性有机污染物(POPs)在环境多个介质中空间尺度上的迁移转化和分配过程进行准确、细致和接近真实的描述,是进行POPs的环境多介质归趋模拟和环境风险评价的重要工具.将环境多介质空间分异模型分为环境多介质质量平衡空间区划模型和大气化学传输模型,对目前几种常用的环境多介质空间分异模型GLOBO...     

Effects of Polluting Soil with Cassava Mill Effluent on the Bacteria and Fungi Populations of a Soil Cultivated with Maize

The study was carried out to investigate the effects of application of cassava mill effluent on bacteria and fungi types and population in a soil grown to maize (Zea Mays L.) Microbial populations were determined before pollution of soil with cassava mill effluent, six weeks after pollution with effluent and at the end of the experiment. Results obtained showed that bacteria and fungi populations increased with time as rates of pollution increased. It was also observed that some bacteria present in the soil at the beginning of the experiment and up to the sixth week after pollution with effluent became extinct at the end of the experiment.     

Toxic Metals in the Austrian Pine (Pinus Nigra) Bark in the Thrace Region, Turkey

Austrian pine (Pinus nigra) bark was collected in thirty-seven localities in the Thrace region, Turkey, for the determination of airborne toxic metal distribution. Five toxic metals, As, Cd, Cu, Pb, and Zn, were monitored using atomic absorption spectrometry. Distribution maps of toxic elements in the region were plotted according to Geographic Information System technology. In general, the concentrations of all investigated elements were not high in the region apart from the vicinity of big cities, Tekirdag, Istanbul and, close to Bulgarian border. However, the highest concentrations were not at pollution level. They have a similar distribution pattern throughout the region.     

反硝化真菌-细菌优化组合及其脱氮能力研究

从多种真菌中筛选到3株脱氮活性较高的真菌,并将其与一株从武汉市郊新筛选分离到的具有较强脱氮能力的细菌HS-03进行混和培养,通过正交实验确立其最佳培养条件。正交实验方差分析表明:碳源、pH值和温度3个因素对脱氮率的影响都非常显著,菌种因素对脱氮率有一定影响。实验结果表明,真菌与细菌混合脱氮的最佳培养条件为:以琥珀酸钠为碳源,NaNO3为N源,C/N为10,pH=7.5,温度30℃。细菌HS-03和真菌Fusariumoxyspurum的组合优于其它组合。在最佳培养条件下,该组合能在21h内去除10mmolNO3-,优于相同条件下细菌HS-03或真菌F.oxyspurum的反硝化能力。     

Application of a luminescence-based biosensor for assessing naphthalene biodegradation in soils from a manufactured gas plant

Despite numerous reviews suggesting that microbial biosensors could be used in many environmental applications, in reality they have failed to be used for which they were designed. In part this is because most of these sensors perform in an aqueous phase and a buffered medium, which is in contrast to the nature of genuine environmental systems. In this study, a range of non-exhaustive extraction techniques (NEETs) were assessed for (i) compatibility with a naphthalene responsive biosensor and (ii) correlation with naphthalene biodegradation. The NEETs removed a portion of the total soil naphthalene in the order of methanol > HPCD > βCD > water. To place the biosensor performance to NEETs in context, a biodegradation experiment was carried out using historically contaminated soils. By coupling the HPCD extraction with the biosensor, it was possible to assess the fraction of the naphthalene capable of undergoing microbial degradation in soil.