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.     

Renewable Resources in an Overlapping Generations Economy Without Capital

We incorporate a renewable resource into an overlapping generations model without capital and with quasi-linear preferences. Besides being an input for production the resource serves as a store of value. We characterize the dynamics, efficiency, and stability of the steady-state equilibria. The stability properties are sensitive to the type of resource growth. For constant growth there is only one steady-state equilibrium which is stable and efficient. In the general case of the concave growth function, there are usually at least two steady-state equilibria, one of which is stable and the other one unstable. The unstable steady state is efficient, but the stable one may or may not be. We study the robustness of our results by assuming a logarithmic utility function. We show that for the Cobb–Douglas production function the steady state is unique and stable regardless of whether the equilibrium is efficient or inefficient. Our analytical results are illustrated by numerical calculations.     

我国人口资源与食物问题

人口增多,耕地减少,部分地区供水不足,是我国人口与资源矛盾的基本格局。由于人口的压力,对资源实行超强度的利用,使较大范围的地区生态环境恶化,严重威胁农业生产,并成为许多地区多灾、低产、贫困的根本原因,较低的食物人均占有水平,将继续成为中国国民经济发展和人民生活水平提高的严重限制因素。增加食物,必须挖掘资源的潜力,开源与节流相结合,以内涵挖潜为主。首先是要立足现有的耕地,致力于提高单产;同时,合理开发水域、山地、草地等资源,广辟食物来源,提高非耕地资源的生产力,提高林牧渔业的发展水平。耕地应以深度开发为主,走资源节约型(节地、节水、节时、节能)的集约化道路。     

中国经济的“阿基米德支点”

资源是经济发展的“阿基米德支点”：世界十大经济国每年能源的生产占全球的６２．１％，消费为７１．０％。重要矿产资源的生产多排在世界前１０名生产国之，外面是消费则多排在１０名之内，且对这些矿产资源的消费量多在９５％以上。     

云南地热资源──以腾冲地区为重点进行解剖

位于中国西南部的云南省,具有丰富的地热资源。这些地热资源大致可分为三类：①高温水热系统;②中-低温水热系统;③“隐伏型”地热资源。根据地热背景（大地构造和热流）和热显示,本研究首先对各构造单元中的地热资源进行了评价,然后重点分析了腾冲地热区的地热资源及其热源和水源的成因。研究结果表明．腾冲地热田形成于板块的碰撞带,其丰富的高温水热系统地热资源的主要形成机制是：①高温热能来自地幔以及地壳中的熔融岩浆囊;②丰富的大气降水补给──大气降水通过断层（特别是活断层）的循环并与少量来自地球内部的水混合。本文提供的资料表明,腾冲地热资源具有开发利用价值──发电和发展旅游业,在东川一个旧一线（东经103°20′）以西地区,中─低温地热资源一般钻进深度不到1000m就能开发出来。     

高浓度废水预处理

从分析冲击炼油污水处理的原因出发，阐述了高浓度废水预处理的重要性；重点介绍了三种好氧生物法处理技术；其中ＳＢＲ法由于工程技术日趋成熟，可优先推广应用     

含柠檬酸盐电镀废水的处理

对含柠檬酸盐电镀废水的几种处理方法的比较表明,氯化钡添加法能较好地使柠檬酸盐沉淀,操作简便,处理效果理想,其柠檬酸根离子的去除率达98％以上。     

论DNA分子标记在家畜遗传多样性保护中的应用

本文就ＤＮＡ分子遗传标记在家畜遗传多样性保护中应用的可行性及途径进行了探讨，提出了家畜遗传多样性标记辅助保护新策略。     

石油亚砜萃取巯基醋酸的研究

对石油亚砜(PSO)萃取巯基醋酸的条件和影响进行了实验研究,确定了石油亚砜通过氢键和巯基醋酸形成的萃合物的组成.为从废水中回收巯基醋酸以及石油硫醚的综合利用提供了依据.     

高级氧化技术机理及在水处理中的应用进展

综述了近年来发展迅速的高级氧化技术，主要包括Fenton法、臭氧氧化法、湿式氧化技术、超临界水氧化法、纳米光催化氧化法电化学催化降解法及超声降解法等。介绍了各种高级氧化技术的基本原理及在废水处理中的应用进展，并对其特点进行了评述。