悬挂链生物接触氧化工艺处理河道污水

采用悬挂链曝气式接触氧化工艺在3个时段内处理城市河道污水,通过采用磷脂法、TTC-脱氢酶活性法和MPN法研究载体表面生物膜特性,来验证装置的水质净化效果。结果表明,进水水质变化幅度较大的时段1内,水质对缺氧区和好氧区内生物膜量及活性有很大冲击,对污染物的去除效果影响不大,COD、NH+4-N、TN和TP的平均去除率分别达到75.9%、80.8%、64.6%和78.3%;进水水质稳定的时段2内,缺氧区和好氧区内生物膜量和活性要高于其他时段,COD、NH+4-N、TN和TP的平均去除率分别达到77.0%、80.6%、69.4%和55.3%;低温运行的时段3内,缺氧区和好氧区内生物膜量和活性都低于其他时段,水质净化效果明显下降,COD、NH+4-N、TN和TP的平均去除率分别为71.1%、68.5%、48.9%和46.6%。     

高含碳金属化球团制备及对焦化废水的处理

针对传统微电解填料昂贵、生产成本高的问题,利用冶金废弃粉尘制备微电解填料。分析了碳氧比（C/O）、还原时间、还原温度对微电解填料的化学成分、强度性质的影响,并对微电解填料的空隙率、表面形貌进行了实验研究。结果表明：在1 300 ℃,C/O为1.0,还原时间20 min的条件下制备的高含碳金属化球团满足微电解填料性能要求,为最佳制备工艺。同时,利用高含碳金属化球团对焦化废水处理进行了实验研究,COD去除率可达63%,B/C值明显提高,提高了废水的可生化性。     

几种腐殖填料生物滤池COD去除效能比较研究

分别采用腐殖垃圾、泥炭、煤炭等腐殖填料及河沙构筑生物滤池,处理模拟废水,比较研究其COD去除效能及降解特征,为工艺填料改性提供理论依据。几种填料的扫描电镜分析图显示腐殖垃圾及泥炭以团聚体三维空间结构为主;煤炭与河沙表面粗糙程度较小,且主要由颗粒状物质构成。稀释平板涂布法分离出各生物滤池中发挥主要作用的微生物共3种,各系统菌落数量有差异,但种类相同。3种腐殖填料生物滤池在进水有机物浓度为500 mg/L及1000 mg/L时均有较理想的有机物去除效率。3种腐殖填料生物滤池中泥炭构筑的腐殖填料生物滤池有机物比降解速率最小,因而微生物比增长速率最小,微生物增长和自身氧化最易趋向于动态平衡,对应的饱和水力渗透系数最大,滤池最不易发生堵塞,最有利于腐殖填料生物滤池长期稳定运行,证明泥炭是一种优良的生物介质。     

改性建筑垃圾作为橡胶填料的可行性研究

将废旧混凝土和废粘土砖经湿式表面改性后作为橡胶填料,辅以配合剂与丁苯橡胶进行混炼、硫化制得橡胶组合物,并将其与以等量轻质碳酸钙作为填料,按相同配比混炼、硫化制得的橡胶组合物的性能进行比较.结果表明,将加工成微米级别(0.5～12.0 μm)的建筑垃圾(废旧混凝土或废粘土砖)经水解双(三乙氧基硅基丙基)四硫化物(KH-8...     

Environmental forensic investigation of the air pollution from a cement manufacturing unit

Abstract

Cement manufacturing is a process that results in the emission of significant quantities of suspended particulate matter (SPM) to the ambient air. An environmental forensic investigation was carried out in the surroundings of a major cement manufacturing unit at a place called Coimbatore in the southern Indian state of Tamil Nadu. The investigation was carried out to identify the contribution of the cement manufacturing unit to the SPM concentration of the surrounding air environment. The sampling points’ selection and sample collection were done following the principles outlined in the INTERPOL Manual for Pollution Crime Forensic Investigation. On-site monitoring of the air samples was carried out using Mini Laser Aerosol Spectrometer (GRIMM, Mini-LAS Model 11R). The instrument was capable of measuring particles ranging from 0.25 to 32 µm and classifying them into 31 size channels. The test results at majority of the monitoring locations were well above the limits specified in the National Ambient Air Quality Standards of India. Microscopic studies of the dust samples were carried out for surface texture and particle shape. The spatial distribution of particles was analysed using geographic information system (GIS) for the visual identification of the extent of the pollution by keeping the cement factory as the focal point. The results from the GIS and microscopic analysis established the role of the cement factory in the particulate matter pollution of its surroundings, specifically in the areas North-West of the factory. The successfully adopted procedure can serve as a guideline for the environmental forensic investigation of similar pollution incidences.     

丁基锡化合物在水体悬浮颗粒物上的吸附行为研究

将海河河口表层底泥制成悬浮颗粒物(SPM), 采用批量平衡法首次研究了模拟河口条件下三丁基锡(TBT)和二丁基锡(DBT)在该SPM上的吸附行为。结果表明,TBT和DBT均能在SPM上发生吸附,尤以TBT更为显着。吸附速率可用Kuo和Lake的经验公式描述;吸附过程受SPM的浓度及TOC含量、pH值、温度、腐殖酸浓度和盐度影响。实际河口水样中的SPM对TBT和DBT的吸附百分率也较高,因此SPM是TBT和DBT归趋的重要场所,去除SPM可使水体得到一定净化。     

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。     

河口切变锋引起的滩槽泥沙交换效应

切变锋是河口湾锋系中最为常见和最易观察到的锋面类型。本文对长江口的切变锋进行现场观察和滩，槽同步水文资料分析，简述了长江口切变锋发生的部分和基本特性，提出了切变锋引起的滩，槽泥沙呈现螺旋形交换形式等论点。