Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks

A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentration (IC), filling time (FT), reaction time (RT), aeration intensity (AI), SRT and MLVSS concentration were examined on the effluent concentrations of TSS, TP, COD and NH₄⁺-N. The results showed that the optimal removal efficiencies would be obtained at FT of 1 h, RT of 6 h, aeration intensity of 0.88 m³/min and SRT of 30 days. In addition, COD and TSS removal efficiencies decreased and TP and NH₄⁺-N removal efficiencies did not change significantly with increases of influent concentration. The TSS, TP, COD and NH₄⁺-N removal efficiencies were 86%, 79%, 94% and 93%, respectively. The training procedures of all contaminants were highly collaborated for both RBFANN and MLPANN models. The results of training and testing data sets showed an almost perfect match between the experimental and the simulated effluent of TSS, TP, COD and NH₄⁺-N. The results indicated that with low experimental values of input data to train ANNs the MLPANN models compared to RBFANN models are more precise due to their higher coefficient of determination (R²) and lower root mean squared errors (RMSE) values.     

Using chemical process simulation to design industrial ecosystems

Chemical process simulation (CPS) software has been widely used by chemical (process) engineers to design, test, optimise, and integrate process plants. It is expected that industrial ecologists to bring these same problem-solving benefits to the design and operation of industrial ecosystems can use CPS. This paper provides industrial ecology researchers and practitioners with an introduction to CPS and an overview of chemical engineering design principles. The paper highlights recent research showing that CPS can be used to model industrial ecosystems, and discusses the benefits of using CPS to address some of the technical challenges facing companies participating in an industrial ecosystem. CPS can be used to (i) quantitatively evaluate and compare the potential environmental and financial benefits of material and energy linkages; (ii) solve general design, retrofit, or operational problems; (iii) help to identify complex and often counter-intuitive solutions; and (iv) evaluate what-if scenarios. CPS should be a useful addition to the industrial ecology toolbox.     

安徽月山地区闪长岩类地质地球化学研究

安徽月山地区是长江中下游地区的重要成岩-成矿区段。本文通过岩石学、岩石化学和同位素地球化学等方面的研究，探讨和阐明了月山地区闪长岩类的形成环境、物质来源、源区特征、岩浆形成与演化机理等。     

从动力地质作用原理探讨沙漠化成因

大规模沙漠化从岩石记录中可以追溯到中生代中期，第四纪以来南北两半球各存在一条中纬度沙漠带，中国的沙漠化是这个全球沙漠化进程的一个组成部分。沙漠化是在地质演化过程中受内、外动力地质作用联合控制的地质事件。是岩石圈与大气圈、生物圈及水圈强烈作用在地壳表层形成的一种特殊地质现象。这种现象的形成与演化是漫长的和具有周期性的，不会因为局部的条件变化而发生整体意义上的突变。人类活动是局部的，在整个地球沙漠化进程中只是起到一个加速剂的作用。沙漠化过程可分为3个阶段，即物理风化与沙源积聚阶段、风沙作用阶段和沙漠化阶段。沙漠期后沙丘沙经过固化生草、胶结成岩阶段后即形成风成砂岩。     

人工神经网络模型和公路复垦土地适宜性评价

提出了人工神经网络用于公路临时用地复垦土地适宜性评价，利用该模型对京大高速公路山西段复垦山西段复垦土地进行了适宜性评价，探讨了人工神经网络在土地复垦适宜性评价时的特点和注意问题。     

生物作用强化城市污水一级处理工艺研究

提出生物作用强化城市污水一级处理工艺 ,探讨利用生物絮凝吸附作用独立承担城市污水处理任务的可行性、影响因素及运行参数。试验证明 ,处理城市污水 ,当HRT为 1 1h ,DO为 1 0mg L ,CODCr污泥负荷为 3 4～ 4 0kg kg·d时 ,CODCr、BOD5和SS去除率分别为 6 8%～ 78%、6 5 %～ 72 %和 75 %～ 85 %。     

加压活性炭生物膜法处理DSD有机废水

采用加压活性炭生物膜法处理以对硝基甲苯磺酸盐为主的难降解的有机废水的研究,是在活性炭生物膜法处理有机废水基础上发展起来的新技术。本实验结果表明,在加压9.8×10~4Pa(1kgt/cm~2)的条件下,COD_(Cr)去除率为62％～70％,比常压活性炭生物膜法高20％～25％;其容积负荷Nv=1.7～2.9kgCOD/m~3·d,比一般活性污泥法高3～6倍。     

循环悬浮式半干法烟气脱硫技术在煤粉锅炉中的应用

半千法烟气脱硫技术目前在国内正在快速推广应用中，但成功的实例还较少，还存在系统不可靠，技术指标达不到，故障率高等问题。介绍了循环悬浮式半千法烟气脱硫技术及首次在煤粉锅炉中应用的烟气净化新工艺：静电预除尘＋循环悬浮式半干法烟气脱硫＋布袋除尘，论述了净化原理及在我厂的实际应用情况。     

企业计算机网络与系统安全

本文介绍了网络技术与系统的内在结构以及各个环节可能存在的安全漏洞，分别对如何提高局域网，广域网，外部网和系统的安全性进行分析，提出了相应的解决办法。     

供水管线震害量化参数--渗漏面积的估算方法

为了分析管线破坏状态对震后供水管网功能的影响，首先需要对管线的震害状态进行量化。建议用管线渗漏面积标定管线的破坏状态。在管线震害分析和理论计算的基础上，提出了震后管线渗漏面积的计算方法，为进一步进行供水管网抗震分析和设计提供了研究基础。