密度泛函方法预测二英类化合物(PCDD/Fs)的正辛醇/水分配系数

在B3LYP/6-31G水平上全优化计算了多氯代二苯并一对-二(噁)英和多氯代二苯并呋喃(PCDD/Fs)系列物的分子结构;基于得到的分子结构描述符,依据修正的线性溶解能理论,分别建立了PCDDs和PCDFs的正辛醇/水分配系数的定量结构-性质关系模型(R2分别为0.985和0.966),并用交叉验证法对模型进行了验证(q2分别为0.983和0.936),用t-检验对各变量进行了检验.检验结果表明,模型的预测能力优于AM1法、单苯环氯取代指数法和拓扑量子方法得出的模型.     

改性沸石对焦化废水中COD的去除研究

本文研究了沸石经NaCl、NaOH、HDTMA（溴化十六烷基三甲胺）改性后对焦化废水中的COD的去除效果。比较得出HDTMA改性沸石对COD的去除能力较好．而且废水的色度明显减小。接着进一步研究了该废水处理过程中的影响因素，包括吸附时间、烘干温度、改性剂HDTMA的浓度、pH值等。结果表明，HDTMA改性沸石处理焦化废水可使其COD的浓度降低至150mg／L以下，达到污水综合排放二级标准。     

改性活性炭对苯的吸附性能

本文研究了用H_3PO_4,SN (以 NaNO_2为主的复盐) 等改性的活性炭对苯的吸附性能,在不同苯浓度和空述下,经适当改性的活性炭对苯的吸附容量大于活性炭本身,探讨了改性活性炭的表观比表面与其吸附性能的关系。     

用改性硅藻土、活性污泥处理城市垃圾渗滤液的研究

改性硅藻土对城市垃圾渗滤液处理仅限于去除渗滤液中的悬浮物.悬浮物和色度的去除率分别大于98%和96%,CODcr的去除率仅为18.1%～26.4%,而对NH3-N的去除没有任何作用.用特殊驯化过的活性污泥进一步处理改性硅藻土处理后的渗滤液,CODcr又可去除80%,NH3-N去除85%,处理废水达到垃圾渗滤液排放二级标准.     

Nafion修饰电极计时电位溶出法测定水中硝基苯的研究

以Ｎａｆｉｏｎ修饰电极时电位溶出法测定水中硝基苯。讨论了测定条件及富集和电极反应机理。方法的线性范围为２．０－３１μｍｏｌ／ｌ。最低检出浓度为０．９８μｍｏｌ／ｌ；８次平行测定的相对标准偏差为３．４％：回收率为９４．８％－９５．８％。     

SO42-改性TiO2催化降解茜素红水溶液

基于SO42-对TiO2超强酸化改性制备了SO42-/TiO2催化剂,以茜素红为目标物试验研究了该催化剂的催化降解性能,并考察了降解条件等因素对脱色率的影响.结果表明,SO42-/TiO2具有较强催化降解性能及一定的光催化活性,降解过程中SO42-流失是催化剂失活的主要原因.在pH=7,催化剂加入量为2.5g/L,起始浓度为140mg/L,太阳光等优化工艺条件下降解效果最好,脱色率达到92%.     

The use of composite sampling in contaminated sites—a case study

Simulated composite sampling was carried out using data from a contaminated site. The values obtained by composite sampling were compared with the results obtained using discrete (individual) samples. It is appropriate to use a modified investigation level (MIL) when using composite samples. The MIL is lower than the standard investigation level, (IL). Various MILs were considered in this study. Too low an MIL will indicate that some composite samples require further investigation, when none of the discrete samples comprising the composite would have exceeded the IL. Too high an MIL will result in some discrete samples that exceed the IL being missed. A suggested MIL is IL/ where n is the number of discrete samples in the composite sample. This MIL was found to give few false negatives but many fewer false positives than the IL/n rule. Although this MIL was effective on the test data it could be site specific. Some local areas of high concentration may be missed with composite samples if a lower investigation level is used. These however do not make a large contribution to the health risk because they will have a contaminant level only slightly higher than the IL, and the neighboring samples must have a low concentration of the contaminant. The increased risk due this cause may be more than offset by the higher sampling density made possible through the economies of composite sampling When composite sampling is used as the first phase of an adaptive cluster-sampling scheme, it must be augmented by additional samples to delineate the contaminated area to be cleaned up. Composite sampling can also be effectively used in a clean up unit technique, where a clean up unit is represented by one or more composite samples. Suggestions are given for when composite sampling can be used effectively.     

转Bt基因工程菌BioP8在环境中的消长动态及生物学效应

2001~2004年,在河北省保定市对转Bt基因荧光假单胞菌工程菌BioP8进行了环境释放,并跟踪调查该工程菌在田间的定殖、扩散、田间防效以及对田间节肢动物群落的影响.结果表明,BioP8在甘蓝叶、根及土壤中均能定殖、存活,在植物根部存活能力较强.在施药后d3,BioP8菌密度均达最高值,之后趋于衰减;BioP8对甘蓝田中天敌有较明显的保护作用,对田间节肢动物群落物种丰富度有一定的影响,BioP8防治区的节肢动物个体总量介于化防区和空白对照区的个体总量.图2表1参7     

A simulation study of the medium-term effects of field patterns on cross-pollination rates in oilseed rape (Brassica napus L.)

Gene flow between cultivars within a landscape may lead to impurities that reduce harvest value. In OSR, as for most crops, impurity rates are expected to depend on the spatial distribution of crops over the landscape. However, in contrast to other well-studied crops such as maize, OSR crops generate seed banks in European agro-ecosystems. Gene flow is thus a spatio-temporal process which depends on cropping systems. We therefore aimed at identifying spatial variables that have an effect on regional or local harvest impurities, taking account of the time since the introduction of OSR crops in the regions and of cropping system. Gene flow was simulated over 36 field patterns cultivated with either 15% or 30% of OSR fields, among which 10% or 50% were GM, for three contrasted cropping systems, with the GeneSys software already used for EU co-existence studies. Through regression analyses, we determined spatial and agronomic factors that most affected harvest impurity rates of non-GM OSR after one or seven years of OSR cultivation. The cropping system was the main factor explaining regional harvest impurity rates. Its importance increased after six years of OSR cultivation. For a given cropping system, the regional impurity rate after one year increased linearly with the current proportion of GM crop. In contrast, impurity rates after six years largely depended on the proportions of OSR crop (GM or not) in the two preceding years. During the first year of OSR cultivation, local impurity rates were mostly explained by the distance to the closest GM field. After six years, these rates were mostly explained by the density of GM volunteers in the analysed field and, to a lesser degree, to that of volunteers in neighbour non-OSR fields. Cropping systems were most important in determining impurity rates and the way impurity rates related to regional or local factors. Determination of isolation distances to ensure harvest purity should thus consider past history of OSR cultivation in the area and, in particular, how current or future cropping systems will manage volunteers. Regression quantiles were fitted to the simulated data to determine regional rules (i.e. the maximum regional area of GM OSR and isolation distances between GM and non-GM crops) as a function of the risk accepted by the decision-maker (i.e. the % of situations exceeding harvest impurity thresholds), the cropping system and the volunteer infestation.     

Evaluation of a Gaussian-modified dispersion model for atmospheric release from the Marcoule nuclear site

This paper presents a mathematical model of local pollutant dispersion designed to compute the concentration field above and around the Marcoule nuclear site. The model is based on integrating the classical turbulent diffusion equation, corrected (prior to integration) by experimental wind tunnel data obtained for a scaled-down model of the site. The computed results are compared with full-scale experimental observations at Marcoule in the case of neutral atmosphere. A comparison with the standard Gaussian model is also made. Finally, a critical analysis of the model is presented. This revised version was published online in July 2006 with corrections to the Cover Date.