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.     

环境保护在学习实践科学发展观活动中的地位与作用——从环境哲学角度看学习实践科学发展观活动

环境保护是科学发展观的题中之意，科学发展观关于环境保护的论述，是党的环境保护理论的精髓。学习实践科学发展观活动，是一个哲学内涵非常丰富的课题，是十分难得的研究环境哲学的大好机遇。试点经验显示了环境保护在学习实践科学发展观活动中的重要作用。他们一方面在科学发展中通过转变发展方式，调整经济结构，解决环境难题；一方面坚持环境保护与经济发展并重，在保护环境中求发展，努力实现环境与经济“双赢”。其共性是，注重治本、注重生态、注重政策。深入学习实践科学发展观，关键在实践，要深入一线，深入调研，融人群众的实践，总结来自一线的新鲜经验。要适应新形势，了解新情况，解决新问题。在学习实践科学发展观活动中，不断提高落实科学发展观，在科学发展中，提高解决环境问题的能力，实现环境与发展、环境与经济的“双赢”。     

试论生态文明建设中的环境保护

随着经济的发展，人们越来越清醒地认识到，以污染环境和破坏生态来换取一时经济繁荣的危害日益突出。正是这种清醒，推动人类文明进行着一场深刻的反思和变革，把追求人与自然的和谐相处，推上当今社会发展主旋律的位置，它预示着人类进入一个生态文明的新时代。生态文明是协调发展物质文明的保障者，是与时俱进的精神文明的塑造者，是日益完善的政治文明的体现者。因此，建设生态文明既是实现全面建设小康社会奋斗目标的内在需要，又是深入贯彻落实科学发展观的重要内容；建设生态文明，必须强化政策支撑，增加生态文明建设的内生动力；必须强化执法监督，增加生态文明建设的环保执行力；必须强化生态补偿能力，构建最具活力的绿色发展模式。     

科技论文的写作

本文介绍了科技论文的写作步骤和基本格式,指出科技论文写作中应注意的事项。     

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.     

精品意识在教学过程中的实施

以教师、课程与教材、课堂、科研等要素为出发点,提出了精品意识在教学过程中的实施方法。     

提高环境科研和监测工作质量和效能的探讨

西部大开发中，就如何提高内蒙古自治区环境科技和环境监测工作质量和效能的问题，本文围绕在工作定位，工作重点及实施措施等方面进行了探讨，供同仁们讨论。     

生态环境科学研究中的数据管理

本文简要介绍了生态环境科学研究中数据管理的基本概念，详细介绍了数据文档文件的建立工并讨论了数据管理的数据共享政策在数据管理中的重要作用。     

环境科学科技期刊的定位及发展方向

科技期刊发展方向确定了科技期刊的定位。社会定位是意识形态定位;经济定位是期刊走向问题;读者定位、编辑定位、管理定位是办刊的方法和手段。     

周口店地质遗迹保护现状分析及对策建议

周口店地区地质遗迹丰富,在考古界和地质界都拥有极高的地位.通过实地考察,发现目前的保护中存在很多问题,如开山采石破坏了有价值的地质遗迹、众多水泥厂排放的烟尘污染了空气等,笔者针对存在的问题,提出了加强立法、严格执法、保护第一、积极开发、充分发挥其旅游文化价值等一系列方案措施;对比较典型突出的问题,提出了具体解决方案,希望以此唤起社会的进一步重视,以更好保护这一人类共有的财富.