应用XAD系列树脂分离和富集天然水体中溶解有机质的研究进展

溶解有机质(dissolvedorganicmatter,DOM)是一类由腐殖质和非腐殖质构成的非均质混合物,广泛存在于土壤、煤炭和水体中,产生重要的生态环境效应。溶解有机质中相似组分的分离一直是有机质研究的难点。近年来,随着XAD树脂分离技术在DOM分离中的广泛应用,腐殖质和非腐殖质的分离取得了很大进展,文章对这些方法进行了详细的综述,并做了进一步的展望。     

开放源对环境空气质量影响的评估技术与实例

开放源排放的颗粒物已经成为城市环境大气颗粒物的主要来源之一,介绍了其对环境空气质量影响的评估技术,采用开放源的动力学经验公式测算S市粉煤灰场、原煤堆场、土堆、沙石料堆4类开放源不同粒径颗粒物的起动风速及扩散距离,并利用箱模型(A值)和源解析(化学质量平衡法,CMB)模型测算开放源的区域年均起尘量及其对环境空气中颗粒物的贡献值.结果表明:开放源排放的颗粒物易升腾而且影响面积很大;S市区开放源类排放的小于100 μm的颗粒物约22.2×104 t/a,小于10 μm的颗粒物约15.8×104 t/a;开放源对环境空气中TSP的贡献值约370 μg/m3,质量浓度分担率达60%,对PM₁₀的贡献值约263 μg/m3,分担率达64%.      

水量衡算条件下人工湿地对有机物的去除研究

构建了芦苇和无植物2种人工湿地，在系统水量衡算的基础上比较了2种湿地对生活污水中有机物的去除效果。结果证明，在植物收割后的冬季，芦苇湿地对有机物的去除率低于无植物湿地系统约2％；在其他季节，芦苇湿地对污水CODcr的去除率比无植物湿地高出3.3％-5％。但对BOD5的去除率却比无植物湿地低了1.9％-2.7％。因此，芦苇湿地对有机物的去除效果比无植物湿地高，但提高不多。比较了2种系统的氧化还原电位，芦苇湿地比无植物湿地的高（P〈0.05），这种提高主要集中在湿地水面以下约10cm的深度；从整个湿地床体来看。2块连续运行的潜流水平湿地内部氧化还原状态大部分相同。主要是厌氧状态。比较了2种人工湿地基质中降解有机物的细菌，放线菌和真菌的数量，二者没有明显的差别。考察了湿地进水有机负荷与去除量的关系，二者呈现显著的线性相关性（R^2〉0.99）。     

皮革和毛皮加工废水处理技术

采用混凝沉淀-酸化水解-悬挂链曝气-生物接触氧化组合工艺处理皮革和毛皮加工生产废水。实验结果表明;进水COD为2400mg/L,处理后出水COD≤100mg/L,去除率≥95.8%。各项水质指标均稳定地达到了GB8978-96污水综合排放一级标准。     

兼性生化处理生活污水最佳工况研究

在常温条件下进行兼性生化处理生活污水试验,研究COD去除率与HRT、MLSS、进水有机物浓度和混合液水温的关系。在试验中最佳的水平搭配为MLSS=5500mg/L,进水有机物浓度=180mg/L,HRT=8h和混合液水温=20℃,与回归分析所得出MLSS=5881mg/L,进水有机物浓度=192.7mg/L,HRT=8.9063h和混合液水温=21.3790℃的最佳工艺条件相吻合。最后通过等高线分析得出常温下生活污水兼性生化的适宜范围。     

悬浮颗粒物对黄河铜的生物有效性影响的研究

利用t检验分析了悬浮颗粒物对黄河水体中铜的生物有效性的影响.结果表明,虽然过滤后水样的EC50比未过滤水样的EC50高,但是过滤前后24h-EC50和48h-EC50在统计学上没有显著差异;而过滤前后72h-EC50和96h-EC50存在显著差异.通过分析,认为造成这种现象的原因有两个:(1)未过滤的水样泥沙含量阻碍了藻类的光合作用;(2)试验过程中水样的理化性质发生改变,导致颗粒物中吸附的铜再次发生了解吸现象。     

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.     

新疆河流洪水水污染分析

洪水期间的水污染主要来源于面源。其特点是污染物的浓度高、负荷量大。给工业、渔业和人民生活都会带来不同程度的危害。悬浮物是洪水过程中的主要面污染产物，同时还作为载体吸附和携带大量的有机物、无机盐、重金属类和微生物进入水体，致使河流水质下降。在研究洪水灾害的同时。不应忽略洪水期间的水污染问题。     

Stabilization effects of surplus soft clay with cement and GBF slag

Utilization of industrial waste and surplus construction soft clay as construction material was recommended, and many attempts at geotechnical waste utilization were undertaken. This study aimed at the application of cement and a kind of industrial wastes, i.e. granulated blast furnace slag, on stabilization of surplus soft clay. The results showed that the cement and slag can successfully stabilize Ariake clays even though this high organic clay fails to be stabilized by lime and cement. Addition of slag in cement for stabilization induces higher strength than cement alone for longer curing time. The application of the cement with slag is more suitable than cement alone for stabilization because of economical consideration.