原水水质对输水管道硝化作用形成的影响

采用配制水样模拟Ⅱ类、Ⅲ类和劣Ⅴ类地表水,利用管道模拟反应器研究不同原水水质条件下输水管道中硝化作用的形成及对输水水质的影响.结果表明:原水中氨氮(NH4+-N)及溶解氧(DO)含量对NH4+-N去除均有一定影响,DO充足时,去除率随原水中NH4+-N含量的增加而增加,DO浓度低时,DO成为影响NH4+-N去除的主要因素;原水NH4+-N含量对运行初期NO2--N积累有重要影响,NH4+-N含量越高,NO2--N积累量越大,随着生物膜的成熟,影响作用逐渐减弱;反应器中AOB数量主要受原水NH4+-N浓度的影响,随NH4+-N浓度升高而增加;NOB数量受NH4+-N和DO浓度的双重影响,DO含量低会抑制NOB活性,使NOB数量减少,导致NO2--N积累;输水管道中的硝化作用是水中及生物膜中硝化细菌共同作用的结果,但生物膜中硝化细菌存在水平高,其硝化作用占主导地位.     

基于ASP的配网业务管理系统的研发及应用

针对配网设备台账管理不规范、业务流程繁琐以及工作效率低的问题,在深入分析原因的基础上,基于动态服务器页面(Active Server Page, ASP)编程,采用Access数据库,研发了配网业务管理系统。应用结果表明:配网业务管理系统规范了配网设备台账和业务流程管理,确保了配网基础数据的准确性、一致性及数据源端唯一性,提高了配电网精益化管理水平,为配网基础管理工作提供了技术支持和应用平台。     

Performance of different macrophytes in the decontamination of and electricity generation from swine wastewater via an integrated constructed wetland-microbial fuel cell process

Plants constitute a major element of constructed wetlands(CWs).In this study,a coupled system comprising an integrated vertical flow CW(IVCW) and a microbial fuel cell(MFC) for swine wastewater tre atment was developed to research the effects of macrophytes commonly employed in CWs,Canna indica,Acorus calamus,and Ipomoea aquatica,on decontamination and electricity production in the system.Because of the different root types and amounts of oxygen released by the roots,the rates of chemical oxygen demand(COD) and ammonium nitrogen(NH_4~+-N) removal from the swine wastewater differed as well.In the unplanted,Canna indica,Acorus calamus,and Ipomoea aquatica systems,the COD removal rates were 80.20%,88.07%,84.70%,and 82.20%,respectively,and the NH_4~+-N removal rates were 49.96%,75.02%,70.25%,and 68.47%,respectively.The decontamination capability of the Canna indica system was better than those of the other systems.The average output voltages were 520±42,715±20,660±27,and 752±26 mV for the unplanted,Canna indica,Acorus calamus,and Ipomoea aquatica systems,respectively,and the maximum power densities were 0.2230,0.4136,0.3614,and0.4964 W/m~3,respectively.Ipomoea aquatica had the largest effect on bioelectricity generation promotion.In addition,electrochemically active bacteria,Geobacter and Desulfuromonas,were detected in the anodic biofilm by high-throughput sequencing analysis,and Comamonas(Proteobacteria),which is widely found in MFCs,was also detected in the anodic biofilm.These results confirmed the important role of plants in IVCW-MFCs.     

酸雨和SO2对蔬菜生长和产量的影响

应用开顶式熏气装置,以油菜和白菜为材料,分别将其暴露于模拟酸雨(pH2.8—5.6)和模拟酸雨与0.1ppmSO_2环境中,测定单独污染与复合污染对蔬菜生长反应和产量的影响。结果表明,酸雨(pH2.8)和酸雨(pH4.6)与0.1ppmSO_2复合处理均对LAR有明显抑制,LAR最多可减少37.5%。模拟酸雨(pH2.8,3.6)使蔬菜减产1.4—8.7%,而模拟酸雨与SO_2复合污染可使蔬菜产量减少7.9—28.9%(P<0.05)。     

竹炭-微生物联合法对沼液中氨氮的去除

采用竹炭-微生物联合法,考察了竹炭用量、菌液用量、进水氨氮浓度、pH、DO、HRT等因素对氨氮废水处理效果的影响;同时采用对比实验,初步探讨了竹炭-微生物联合法处理沼液的作用机理。结果表明,竹炭-微生物法去除沼液氨氮的最优条件推荐为:竹炭用量30 g/L,微生物活性液用量3%,pH 7.0～8.0,DO为2 mg/L,HRT为48 h。竹炭-微生物法对沼液氨氮的去除过程可用一级反应动力学模型C=272.56e-0.0148描述,其去除效果来源于竹炭吸附和生物降解的协同作用,协同程度为48.45%。     

ABR处理硫酸盐有机废水的BP神经网络建模

通过厌氧折流板反应器(ABR)处理硫酸盐有机废水的实验数据对BP神经网络进行训练,建立了ABR处理硫酸盐有机废水的BPNN模型,通过测试对比,找出了较优训练函数为traingda,较优训练次数为1 900.利用分割连接权值法(PCW)对影响出水SO42-和COD的主要因素进行分析,结果显示进水COD、SO42-、pH、COD/SO42-和HRT对出水SO42-和COD均产生一定影响,其中进水pH对出水SO42-和COD的影响最大,相对重要性(RI)指数分别为30.79％和23.44％;并通过样本试验数据分别建立了对SO42-和COD去除率的限制因子仿真模型,为预测硫酸盐有机废水的厌氧处理过程提供指导.     

南通市冬季PM2.5中水溶性离子污染特征

根据南通市2016和2017年冬季大气多参数站自动监测PM2.5数据和在线离子色谱分析仪Marga监测的PM2.5中水溶性离子数据,分析了南通市冬季PM2.5中水溶性离子污染特征。结果表明,南通市2016和2017年冬季,ρ(PM2.5)分别为58和54μg/m 3,均高出其年均值(14μg/m^3);ρ(水溶性离子)总占ρ(PM2.5)百分比分别为74.5%和74.3%;二次离子ρ(NO3^-、SO4^2-和NH4^+)占ρ(PM2.5)百分比分别为66.8%和66.6%;各水溶性离子占比大小依次为:NO3^-、SO4^2-、NH4^+、Cl^-、K^+、Na^+、Ca^2+、Mg^2+。对ρ(NO3^-)/ρ(SO 4^2-)分析表明,移动源已经成为南通市冬季的主要污染源,且呈逐年增强趋势。对氯氧化率和硫氧化率的分析表明,南通市冬季存在较明显的二次污染,SO2的转化程度大于NO2。除Na^+和Mg^2+外,其他离子与PM2.5均呈显著相关性,NO3^-、SO4^2-与NH4^+之间的相关系数最高,Cl^-与除Na^+外的所有阳离子均呈显著相关性。     

基于粒子群-支持向量机(PSO-SVM)的苯储罐泄漏事故风险预测

将支持向量机(SVM)模型运用于事故前苯储罐泄漏事故风险预测,为使模型性能最优,采用粒子群算法PSO优化SVM模型参数,建立了PSO-SVM风险预测模型。为验证模型风险预测性能,分别采用遗传算法(GA)和网格搜索法(GS)优化SVM参数,并比较测试集与PSO-SVM、GA-SVM、GS-SVM三种模型预测结果的均方误差及相关系数。然后进一步探讨模型中权重调整方式、种群规模对PSO-SVM模型预测性能的影响。研究发现,权重线性递减所建PSO-SVM预测值与测试集相关系数更高、均方误差更小、预测效果更好,种群规模没有影响PSO-SVM模型预测值但会影响计算时间,这为危化品泄漏事故的风险预测提供了一种新的方法。     

层间隔震结构简化模型地震响应计算方法研究

建立了层间隔震结构双质点系简化计算模型,研究了简化模型的动力特性及地震响应对模型质量比、周期比的敏感性,推导了模型参数的简化算式,提出了基于非比例阻尼的层间隔震结构的简化计算方法,并用实例验证了方法的可靠性和实用性。结果表明:层间隔震结构的动力特性与上下部结构质量比及周期比密切相关,并且可以反映层间隔震的高阶振型特点。利用本文提出的简化计算方法,可快速估计层间隔震结构的地震响应,方法概念清晰、计算简单且具有一定精度。     

A regional environmental management information system for Chinese EPA—the system analysis and design

REMIS is one of key research projects sponsored by the central government. It is recommended to regional EPAs as a main tool of the environmental management. REMIS simulates the functions of the regional EPAs and aimed to improve their management level. The national environmental management information system will base on REMIS.Functional analysis is the kernel of the REMIS system analysis. Data and data flow analysis are used to support the functional analysis.Investigations on the functions of the local EPAs of eight provinces and 12 cities have been taken. The functions were carefully sorted. Modular design method was used in system analysis and system design.The system analysis included functional analysis, data analysis and data flow analysis. The system design is based on the system analysis. HIPO diagram of each modular, data base structure, menu design, selection of hardware and software environment were the main items of the system design.