Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Vehicle emission has been the major source of air pollution in urban areas in the past two decades. This article proposes an artificial neural network model for identifying the taxi gross emitters based on the remote sensing data. After carrying out the field test in Guangzhou and analyzing various factors from the emission data, the artificial neural network modeling was proved to be an advisable method of identifying the gross emitters. On the basis of the principal component analysis and the selection of algorithm and architecture, the Back-Propagation neural network model with 8-17-1 architecture was established as the optimal approach for this purpose. It gave a percentage of hits of 93%. Our previous research result and the result from aggression analysis were compared, and they provided respectively the percentage of hits of 81.63% and 75%. This comparison demonstrates the potentiality and validity of the proposed method in the identification of taxi gross emitters.     

Critical perspectives of sustainable development research and practice

Sustainable development has been intensely debated for more than twenty years, but real progress of our societies to become more sustainable is very slow. Therefore this special issue provides a forum for critical perspectives of Sustainable Development Research and Practice. The papers are grouped into three clusters: a. Sustainability Science, b. Economic Problems and c. Corporate Contributions to Sustainable Development.Although a single special issue cannot address the entire array of issues pertaining to progress of sustainability related research, the selected papers highlight special aspects of sustainability research either due to their theoretical contributions or because they report on valuable empirical evidence. The main goal of sustainability research should be to contribute to our understanding of sustainability problems and to develop and help to implement solutions to solve them. This can be described as the relevance of sustainability research. A precondition to gain relevance is the rigor of sustainability science: it has to be based on solid scientific principles and methods. Additionally it has to be regarded that Sustainable Development is dynamic and that it has both normative and practical aspects. It is concluded that sustainability science and practice should be based upon these four central aspects: rigor, relevance, normative aspects and dynamic     

污染底泥的原位钝化技术研究进展

底泥是湖泊重要的内源污染来源,关于底泥污染控制的研究近年来受到广泛重视。目前对底泥污染的控制技术主要包括原位处理技术和异位处理技术。原位处理技术主要包括钝化、覆盖、生物修复等。钝化技术是一种高效的湖泊内源污染控制技术,它通过抑制内源营养盐的释放来控制水体营养盐含量。文章综述了底泥原位钝化技术的研究及其应用情况;分析了原位钝化技术的特点及主要功能;介绍了常用底泥钝化剂的应用情况以及新型钝化剂的研究进展;并对原位钝化技术的未来发展进行了展望。     

中药工业废水处理研究进展

概述了目前中药工业废水处理应用的各种物化、生物处理技术;对主要处理工艺的应用特点进行了论述;指出了中药工业废水处理技术今后的研究开发方向和思路。     

高锰酸盐指数一酸性法空白质量控制研究

常规监测高锰酸盐指数-酸性法,通过对高锰酸盐指数空白测试与检测限、空白质控图、空白加标回收率进行测试研究,可以得到理想的监测结果。     

3S技术在地震研究领域应用的研究进展

随着3S(RS、GIS、GPS)技术的快速发展,其在地震领域上的应用已引起国内外研究机构和学者的广泛关注。以Web of Science核心数据集为文献源,检索2000-2019年3S技术应用于地震领域的文献,利用Citespace可视化分析软件进行文献分析,通过探究研究主题及研究热点的演变趋势,总结分析了当前研究前沿。研究结果表明,3S技术应用于地震领域涉及到了多个交叉学科及方向,体现出地震领域的研究具有广泛性和综合性的特点;通过聚类分析,发现可划分为8个知识群组,形成了以"地震案例"与"板块运动"为主的两条演化路径;关键词分析表明"合成孔径雷达应用"、"模型反演","滑动分布研究"成为近几年的研究热点,并趋向于多样化的趋势发展。     

生态文明建设理论发展历程初探

生态文明建设理论以可持续发展、环境保护及生态学理论为基础,吸收了中国传统文化的养分,目前已成为中国特色社会主义道路的有机组成部分,得到了党和国家的高度重视.本文对生态文明建设理论的产生背景和过程进行了简单梳理.     

乡镇小型屠宰场污水处理技术研究

本文在分析生猪屠宰污水的来源及水质特点基础上,对比各种污水处理的好氧和厌氧的方法与措施,提出将“两级沉淀＋两段曝气”工艺应用到小型屠宰场污水处理系统中,具有重要的理论意义和工程实用价值.     

氟化铵制备氟化钙最优条件研究

试验采用氟化铵与石灰石粉、石灰乳反应制取氟化钙,研究了反应温度、物料浓度、物料过量系数等各主要参数变化对氟化钙结晶、过滤速度、氟收率及其含量的影响,摸索出最优反应条件。     

装备研制项目可靠性风险预警技术研究

目的研究装备研制项目可靠性风险预警技术及应用。方法从可靠性风险预警技术对装备研制项目整体质量的影响度出发,对装备研制项目可靠性风险进行特征归类,分析现有装备研制项目可靠性风险预警流程的局限性。结果提出了装备研制项目可靠性风险预警机构的组织管理和权限建议,引入风险阈值理论优化了装备研制项目险预警流程,并给出优化流程中不同风险分析子集的模型应用情景。结论研究提出的装备研制项目可靠性风险预警体系框架和分析模型,可为可靠性风险预警实践提供理论支撑。