用S型皮托管测固定污染源排气参数的方法探讨

针对固定污染源排气监测实际工作用S型皮托管测定静压方法有争议的问题进行了理论分析和低速风洞试验。结果表明,用S型皮托管测固定污染源排气静压的平行法和垂直法二方法都在不影响排气量和污染物排放量测定结果的范围内;用全压与平行法静压差作为动压来计算流速可影响较大。     

金属体积成形过程有限元模拟中六面体网格重划技术的研究

针对金属体积成形过程有限元模拟中的网格重划问题 ,提出了基于边界构形的有限元网格重划技术 ,并对其中的一系列技术处理进行了详尽的讨论。将该技术应用于矩形块体镦粗过程的有限元模拟中 ,较好地解决了六面体网格重划问题。     

三种填料对生活污水中氨氮的去除效果

研究了沙子、砾石、珍珠岩三种填料对生活污水中氨氮（NH3-N）的去除效果。结果表明：沙子对污水中NH3-N的去除效果最好，珍珠岩次之，砾石的去除效果最差。三种填料对生活污水中NH3-N的平均去除率分别为59．6％、20．4％和13．3％。     

基团贡献法对取代苯类化合物生物降解性的预测

测定了 47种取代苯类化合物在松花江水中的 5日生化需氧量 (BOD5) .分别采用线性基团贡献法和非线性基团贡献法(人工神经网络法 )对化合物的生物降解性BOD5 ThOD(ThOD :理论需氧量 )进行QSBR研究 .得到不同基团对生物降解性的贡献为 :C6H5>COOH >OH >CH3 O CH3 >NH2 >Cl >NO2 .线性基团贡献法对于训练组和测试组的定性预测正确率分别为72 %和 86 % ;而人工神经网络法的预测正确率分别为 92 %和 86 % .预测结果表明线性和非线性基团贡献法的预测效果都很好 ,相比而言 ,非线性方法对生物降解性的预测更准确     

螯合纤维的合成及其吸附重金属离子的研究

研究了含有胺肟基和胺腙基功能纤维的合成、结构表征和螯合性能。新型合纤维对多种重金属离子具有良好的吸附性能，能从被污染的水体和土壤中去除重金属离子，经洗脱后可回收金属，螯合纤维能反复使用。     

HPLC-UV测定水中微量溴酸根的方法

针对水中微量溴酸盐的测定问题,建立了一种用苯酚为衍生试剂、用HPLC-UV检测的柱外衍生测定方法.本方法的检出限为0.82μg·L-1,在溴酸根浓度为5～50μg·L-1范围内具有良好的线性关系(R2=0.9986).测定系列溴酸根浓度的相对偏差(RSD)均小于5%,样品加标平均回收率为99.8%～110.9%.     

己二胺有机废液在流化床中焚烧的实验研究

在实验室规模的热态流化床试验台上，进行了含5％己二胺有机废液的焚烧 实验研究，在700－900℃范围内，研究温度及空气过剩系数对NOx沿床高的变化规律，以及它们对NOx排放浓度的影响。实验结果表明，沿高度方向上NOx浓度 逐渐降低，并且存在NO2浓度大于NO浓度这一有趣现象，在900℃下氧量增加有利于密相区NO、NO2浓度的降低，说明在 有氧条件下NH2促进NOx的还原，在不同空气 过剩系数下和然相区出口NOx几乎为零 ，表明900℃是己二胺有机废液焚烧 的合适温度。     

配煤添加剂对燃烧烟气的影响

燃煤排放的污染是造成我国大气污染的主要原因。本文分析了添加剂对煤炭燃烧的影响机理,指出配煤添加剂是改善动力煤燃烧的污染排放问题的一个可行途径。     

在磁场中活性炭吸附有机物的研究

将磁化技术引入吸附过程中，考察了磁场处理对活性炭吸附苯、硝基苯、苯甲酸、氯苯和苯酚的影响．结果表明，预磁处理能使非极性物质苯和极性较小的氯苯、苯酚在活性炭上的吸附容量减小，而使极性较大的苯甲酸和有NO2基团的硝基苯的吸附容量增大．增大磁场强度能加强苯和苯甲酸的磁处理效果。     

Exploration of relationships between phytoplankton biomass and related environmental variables using multivariate statistic analysis in a eutrophic shallow lake:A 5-year study

Understanding the process of the changing phytoplankton patterns can be particularly useful in water quality improvement and management decisions.However,it is generally not easy to illustrate the interactions between phytoplankton biomass and related environmental variables given their high spatial and temporal heterogeneity.To elucidate relationships between them,in a eutrophic shallow lake,Taihu Lake,relative long-term data set of biotic and abiotic parameters of water quality in the lake were conducted using multivariate statistical analysis within seasonal periodicity.The results indicate that water temperature and total phosphorus(TP)played governing roles in phytoplankton dynamics in most seasons(i.e.temperature in winter,spring and summer; TP in spring,summer and autumn); COD(chemical oxygen demand)and BOD(biological oxygen demand)presented significant positive relationships with phytoplankton biomass in spring,summer and autumn.However,a complex interplay was found between phytoplankton biomass and nitrogen considering significant positive relationships occurring between them in spring and autumn,and conversely negative ones in summer.As the predatory factor,zooplankton presented significant grazing-pressure on phytoplankton biomass during summer in view of negative relationship between them in the season.Significant feedback effects of phytoplankton development were identified in summer and autumn in view that significant relationships were observed between phytoplankton biomass and pH,Trans(transparency of water)and DO.The results indicate that interactions between phytoplankton biomass and related environmental variables are highly sensitive to seasonal periodicity,which improves understanding of different roles of biotic and abiotic variables upon phytoplankton variability,and hence,advances management methods for eutrophic lakes.