Interpretation of roadside PM10 monitoring data from Sunderland,United Kingdom

Roadside PM₁₀ has been monitored by Partisol® at three sitesin Sunderland between August 1997 and February 1998. The sites chosen were an inner city kerbside site; a roadside site adjacentto a dual carriageway on the outskirts of Sunderland with an openaspect; and a rural site.The results indicate that there is a seasonal variation in the relationship between the sites in terms of monitored PM₁₀.In the winter there is a poor correlation between the sites whereas in the summer significant correlations are obtained. Of the sites monitored PM₁₀ is consistently highest at the inner city roadside site. During the summer, exceedances of theU.K. 50 g m^-3 standard (DETR, 2000) are associated with conditions suitable for the build-up of photochemical pollutionhowever during the winter period exceedances are recorded duringa variety of weather conditions.At the dual carriageway site PM_2.5 has also been recorded and contributions to measured PM₁₀ are 77% in summer and68% in winter. The results illustrate a number of inconsistencies between this study utilising the Partisol® andothers reporting results where PM₁₀ has been monitored by TEOM®.     

Using improved neural network model to analyze RSP,NOx and NO2 levels in urban air in Mong Kok,Hong Kong

As the health impact of air pollutants existing in ambient addresses much attention in recent years, forecasting of airpollutant parameters becomes an important and popular topic inenvironmental science. Airborne pollution is a serious, and willbe a major problem in Hong Kong within the next few years. InHong Kong, Respirable Suspended Particulate (RSP) and NitrogenOxides NO_x and NO₂ are major air pollutants due to thedominant diesel fuel usage by public transportation and heavyvehicles. Hence, the investigation and prediction of the influence and the tendency of these pollutants are ofsignificance to public and the city image. The multi-layerperceptron (MLP) neural network is regarded as a reliable andcost-effective method to achieve such tasks. The works presentedhere involve developing an improved neural network model, whichcombines the principal component analysis (PCA) technique and theradial basis function (RBF) network, and forecasting thepollutant levels and tendencies based in the recorded data. Inthe study, the PCA is firstly used to reduce and orthogonalizethe original input variables (data), these treated variables arethen used as new input vectors in RBF neural network modelestablished for forecasting the pollutant tendencies. Comparingwith the general neural network models, the proposed modelpossesses simpler network architecture, faster training speed,and more satisfactory predicting performance. This improvedmodel is evaluated by using hourly time series of RSP, NO_x and NO₂ concentrations collected at Mong Kok Roadside Gaseous Monitory Station in Hong Kong during the year 2000. By comparing the predicted RSP, NO_x and NO₂ concentrationswith the actual data of these pollutants recorded at the monitorystation, the effectiveness of the proposed model has been proven.Therefore, in authors' opinion, the model presented in the paper is a potential tool in forecasting air quality parameters and hasadvantages over the traditional neural network methods.     

Preliminary air pollution monitoring in San Miguel, Buenos Aires

Passive diffusion samplers were employed in San Miguel(Buenos Aires Metropolitan Area) for a preliminary airpollution monitoring. The highest loads were observedin downtown, compared with an urban background site.Total suspended particulate matter (TSPM) varied from0.257 to 0.033 mg cm^-2 month^-1; dust was examinedfor particle nature and size distribution. A similartrend was observed for nitrogen dioxide (NO₂) andTSPM spatial distribution, suggesting that traffic isthe major pollution source. Sulphur dioxide (SO₂)values were low and rather homogeneous. Levels for theinvestigated pollutants are below EPA's guide linevalues. Geographic (flat area, near to Rio de LaPlata) and climatologic factors (rainfalls andvariable wind directions) contribute to disperse pollutants.     

盐酸付玫瑰苯胺若干性质讨论

盐酸付玫瑰苯胺是三苯甲烷类染料，分子中存在的共轭体系使其具有以下特性：１．本身带色；２．随介质的ｐＨ变化产生显著的颜色效应，ｐＨ值越高，颜色越深，ｐＨ值越低，颜色越浅；３．对光和水洗的坚牢度较差；４．可发生重氮化反应；５．杂质使其颜色加深。     

用蚕豆叶尖微核技术筛选对环境污染物敏感品种

为了筛选蚕豆叶尖微核监测技术敏感材料,以二甲苯为污染物,对甘肃产的10个蚕豆品种进行了测试。结果表明,蚕引8号微核出现率与二甲苯诱变剂浓度成正比,平均微核率差异极显著,是监测评价二甲苯污染的敏感品种。     

An Assessment on Variation of Sulphur Dioxide and Particulate Matter in Erzurum (Turkey)

Sulphur dioxide and PM₁₀ levels are investigated in Erzurum during the periods of 1990–2000 heating season to assess air pollution level. For that reason, emissions of sulphur dioxide and particulate matter were calculated by using consumption of fuels and Turkish emission factors. These emission values were evaluated together with air pollution levels, which were measured at six stations in Erzurum atmosphere during 1990–2000 winter periods. Results reveal that in 1990–1994 heating period, there is an increasing trend in the emissions and air pollution levels over Erzurum, and the air quality limits were not met. The daily 24 h limit (short-term limit) was exceeded 127 days in 1992–1993 winter period. The reason for this increase was found to be the switching to use of low-quality fossil fuels instead of cleaner ones. Results also indicated that there was a considerable decrease in emissions of air pollutants and air pollution levels after 1995. This can be explained by the consumption of more high-quality fossil fuels. The correlation coefficient of SO₂ with PM₁₀ is obtained as r² = 0.85, which is a high value supporting the idea that both pollutants are emitted from the same source.     

煤气化技术的前景

介绍了“煤气化──无烟燃烧技术”及其在小型工业锅上的应用，为解决我国煤烟型大气污染问题提供了一种全新的办法。     

温度、盐度、铜、氨对对虾仔虾(Penaues orientalis K)和光滑河兰蛤(Potamocorbula laevis)的影响

在室内模拟条件下,进行了热冲击及其与盐度、铜、氨联合对对虾仔虾和光滑河兰蛤的急性影响研究。结果表明,两种动物的起始致死温度(TL₅₀)和最高临界温度(CTM)随驯化温度的升高而增大;随盐度的降低,仔虾的耐高温能力明显降低,而兰蛤对盐度变化反应不明显;高温明显提高铜、氨对仔虾的毒性。也提高铜对兰蛤的毒性,但降低氨对兰蛤的毒性影响。仔虾对高温、低盐、铜离子及非离子氨反应敏感。     

Promotive effect of pyridine on indole degradation by activated sludge under anoxic conditions

Batch experiments were carried out to investigate the promotive effect of pyridine on indole degradation under denitrifying conditions. The seed sludge was obtained from a local coal-coking wastewater treatment facility and was acclimated in the laboratory. Indole and pyridine were supplemented to the synthetic wastewater at different ratios. The optimum ratio of chemical oxygen demand (COD) to nitrate (C/N) was 8.4–8.9 for both denitrification and indole and pyridine degradation. At a temperature of 28°C and pH of 7.0–7.5, the nitrate reductase activity (NRA) was in the best state. The addition of pyridine could promote NRA and the degradation of indole. When the initial concentration of indole was 150 mg/L, the concentration ratio of indole to pyridine was in the range of 1–10. Under optimum C/N conditions, the degradation of indole could be described with pseudo-zero-order kinetics. There was no accumulation of nitrite during the reaction. When the concentration ratio of pyridine to indole was less than 0.25 with an increase in the pyridine proportion, there were more significant augment rates for NRA and the degradation of indole than the situation when the concentration ratio was more than 0.25. __________ Translated from Environmental Science, 2006, 27(2): 300–304 [译自: 环境科学]     

厌氧处理原理及其在低浓度有机废水处理中的应用现状

介绍了厌氧处理原理，并对厌氧处理低浓度废水的最新进展进行了较全面的综速，高效厌氧反应器及组合工艺为这一发展提供了可能。高效厌氧反应器中以膨胀颗粒污泥床（ECSB）反应器为首选。其结构及远行特性决定了它在处理低浓度虚水方面具有潜在的优势，但中国EC,SB的应用仅处于研究阶段，尚未有生产规模的EGSB；组合工艺对低浓度废水中污染物去除率极高，出水中COD、NH3-N、TP和SS浓度均可达到较高的排放标准，对生活污水、稀释后的工业有机废水等低浓度有机废水处理具有广阔的前景。