浅谈手机废旧电池的回收利用

移动通信的快速发展和手机的大量使用,手机废旧电池给环境带来的危害必将日益明显,但目前关于废旧手机电池的研究很少,主要是一些国外的报道,文章就几种手机电池的组成、危害及回收工艺进行了综合分析,并对电池回收过程提出了几点建议,希望对我国的手机废旧电池的回收利用有所帮助.     

神华集团煤制油项目供水、污水回用经济、技术分析

神东矿区水的矛盾比较突出，在荒水季节更是如此，已经开始制约矿区发展。特别是煤制油项目的全面上马，水的问题将更为突出。大力开展污水回用，是解决水危机切实可行的途径，且可以降低污水处理、供水成本，节约生产费用，同时可以发展相关产业，减少污染物总量的排放。     

中国出口家电反向物流网络及其优化研究

文章分析了反向物流网络的特征、分类以及影响废旧家电回收反向物流构建的因素及构建原则;运用博弈论知识论证了进行废旧家电反向物流的必然性,在此基础上构建了废旧家电反向物流网络,运用混合整数线性规划模型对其进行优化.最后,本文运用例子证明了混合整数线性规划及其算法-分枝定界法的实用性和有效性.     

碳源循环单级生物脱氮技术研究

开发了一种列管式固定化细胞生物反应器，其特征在于硝化菌和反硝化菌被混合固定于中空的PVA凝胶管的管壁之中，PVA凝胶管平行置于圆柱形筒体内，构成一个类似于列管式换热器的生物脱氮反应器。需要处理的氨氮废水在固定化细胞管的外侧与圆柱形壳体的内侧间流动，而反硝化所需的碳源（乙醇水溶液）则在PVA凝胶管内循环。研究了列管式固定化细胞生物反应器进行单级生物脱氮的可行性和连续运行的效果，并证明了在非纯菌种的固定化细胞单级生物脱氮过程化细胞生物反应器进行单级生物脱氮的可行性和连续运行的效果，并证明了在非纯菌种的固定化细胞单级生物脱氮过程中，存在着NH^ 4→NO^-2→N2的短积生物脱氮。     

有机化合物厌氧生物降解性的测定和预测

测定有机物厌氧生物降解性的方法包括非特性参数和特性参数测定法。本文着重介绍有机物厌氧生物降解性的筛选测定法，以基团贡献法为基础，不外加其它理化参数的有机物结构与生物降解性关系的预测已经由简单的线性模型发展至专家系统和人工神经网络模型，并显示出极好的应用前景。     

对淮安市盐化工循环经济发展的探析

主要对江苏淮安盐化工循环经济发展的现状，发展的必要性、可行性及可操作性进行了分析研究，并对加快淮安盐化工循环经济发展提出了几点建议。     

Water technology for specific water usage

BACKGROUND: Water is the basis for life and culture. In addition to the availability of water its quality has become a major issue in industrialized areas and in developing countries as well. Water usage has to be seen as part of the hydrological cycle. As a consequence water management has to be sustainable. The aim of the contribution is to give water usage oriented quality criteria and to focus on the technical means to achieve them. MAIN FEATURES: Water is used for many purposes, ranging from drinking and irrigation to a broad variety of technical processes. Most applications need specific hygienic, chemical and/or physical properties. RESULTS: To meet these demands separation and reaction principles are applied. The reuse of water and the application of water treatment with little or no waste and by-product formation is the way to go. Membrane separation and advanced oxidation including catalytic reactions are promising methods that apply natural processes in sustainable technical performance. Thus elimination of specific water constituents (e.g. salts and metals, microorganisms) and waste water cleaning (e.g. pollutants, nutrients and organic water) can be done efficiently. OUTLOOK: Learning from nature and helping nature with appropriate technology is a convincing strategy for sustainable water management.     

铜酞菁生产中的三废综合治理及其资源化探讨

通过某铜酞菁化工生产企业三废治理及其资源化工艺改进的实践，总结出了一套行之有效的利用酸化工艺废酸的资源化新方法，不但从中回收了高价值的铜泥；同时利用废酸吸收生产工艺中的高含氨尾气，生产硫酸铵，达到了以废治废的目的，整个治理工艺符合循环经济的理念。通过该回收工艺的改进，使上述三废不再进入污水处理系统，从而解决了传统铜酞菁生产废水的高酸度、高盐分、高含氨、高难处理的矛盾，使铜酞菁三废处理易于实行。     

Short-term Model of the Production of Construction Aggregates in Taiwan Based on Artificial Neural Networks

BACKGROUND: Taiwan's geography and limited stock of sandstone have caused sandstone resources to gradually decline to the point of exhaustion after long-term excavation. Moreover, the Taiwanese government has continuously increased the amount of land area near rivers that cannot be excavated to facilitate riverbed remediation and promote conservation of water resources. Accordingly, predicting and managing the annual production of construction aggregates in future construction projects, and dealing appropriately with some thorny problems, for instance, demand that excess supply, excessive excavation, unregulated excavation, and the consequent environmental damage, will significantly affect the efficient use of natural resources in a manner that accords with the national policy of Sustainable Development (SD). METHODS:. This study establishes an empirical model for forecasting the annual production of future construction aggregates using Artificial Neural Networks (ANN), based on 15 relevant socio-economic indicators, such as indicator of annual consumption of cement. A sensitivity analysis is then performed on these indicators. RESULTS AND DISCUSSION: This work applies ANN to estimate the annual production of construction aggregates; the estimates, the verification of the model and the sensitivity analysis are all acceptable. Furthermore, sensitivity analysis results indicate that the annual consumption of cement is the indicator that most strongly influences the production of construction aggregates, as well as whether construction waste can be recycled and steel structures can be used in buildings, helping to reduce the future production of construction aggregates in Taiwan. CONCLUSIONS: The elaborate prediction methodology presented in this study avoids some of the weaknesses or limitations of conventional linear statistics, linear programming or system dynamics. Additionally, the results not only provide a short-term prediction of the production of construction aggregates in Taiwan, but also provide a viable and flexible means of verifying quality certification of the production data of construction aggregates in the future by incorporating those relevant socio-economic indicators. RECOMMENDATIONS AND OUTLOOK: The continuity and quality of the database of relevant indicators used in this study should be closely scrutinized in order to ensure the SD means of exploiting resources.     

基于BP网络的水质综合评价模型及其应用

讨论了BP网络模型存在的不足及建模条件,提出了建立合理的BP网络模型的基本原则和步骤.针对水质评价问题,通过在各类水质污染指标浓度区间内生成随机分布样本的方法,组成足够多用于BP网络训练、检验和测试用的样本,建立了辽河水质综合评价的BP网络模型;给出了区分不同类别水质的模型分界值样本和模型输出分界值.