淮河流域用水效率研究

为研究淮河流域水资源利用效率,从淮河片水资源公报中提取相关指标数据,以淮河流域水资源二级分区为单元,基于数据包络分析法(DEA)和层次分析法(AHP)模型计算出淮河流域各市的用水效率.结果表明,淮河上游以漯河和平顶山市为优,淮河中游以郑州和徐州为优,淮河下游以扬州和盐城为优,沂沭泗以淄博和商丘为优.     

国家环境保护模范城市动态管理系统研究

按照创建国家环境保护模范城市的资料整编要求以及对环保模范城市持续改进的工作需要,本着方便查阅、体现过程、节约环保、突出特色的原则,研究构思了国家环境保护模范城市动态管理系统,以期为申请创建的城市提供参考。     

基于ELM网络的污水处理COD值预报模型研究

通过对沈阳某污水处理厂的叶轮气浮法污水工艺进行研究分析,得知其过程具有多变量、非线性和时变等特性,这些特性对于处理后水质的COD值准确检测非常重要。COD值的在线检测设备通常有一定滞后,影响了现场对水质的控制和提高,为此采用ELM网络来建立COD值的预报模型,并通过MATLAB软件进行了仿真研究,仿真结果表明该模型具有较好的预报效果。     

城市突发环境事件的三维矩阵管理模式研究

针对我国环境事件频繁发生和应急管理法制建设缺位、体制不健全之间的矛盾,结合矩阵管理与应急管理理念,创建了基于事件分级、事件生命周期和事件运行管理为三维的矩阵管理模式,并以此模式分析结果为基础,提出城市应急管理能力建设的阶段性建议。     

模糊控制技术在污水处理中的应用

针对污水处理过程中采用传统的流量程序控制和时间程序控制的不足,提出了一种基于单片机的模糊控制方法。该方法以污水流量、溶解氧(DO)浓度和污泥回流比为主要被控对象,以DO浓度为主要控制参数,通过离散计算和在线查表的模糊推理方法可得到最佳的风机转速,使污水处理生化池内DO浓度保持在最佳状态,同时还通过控制曲线展示了当输入污水流量发生扰动时对DO浓度的控制精度,使污水处理质量保持稳定。通过实际应用表明,该控制方法不但能确保出口净化水水质达标,还可以节约15%的电能。     

基于ANFIS模型的基坑工程位移反分析

在软土地基深基坑开挖支护工程的设计与施工中,岩土体力学参数的取值问题是关键。基于MATLAB(R2007a)模糊工具箱中的自适应神经模糊推理系统(ANFIS)对基坑岩土体力学参数进行了位移反演分析,并结合汉口火车站出站厅基坑工程实例,动态反演了具体参数,检验了反演精度,从而验证了该方法用于基坑工程位移反分析的可行性及工程适用性。     

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.     

《燃煤二氧化硫排放污染防治技术政策》绩效定量评估

基于全国46个城市(其中38个城市位于"两控区")1996~2005年的面板数据,运用difference-in-differ-ences(DID)模型对《燃煤二氧化硫排放污染防治技术政策》的绩效进行了定量评估。结果表明,该政策的实施对于降低工业二氧化硫排放量起到积极作用,使"两控区"城市年工业二氧化硫的排放量平均降低了19.3%。     

Towards a capability approach of sustainability

Despite having a strong influence on development policies, theories of sustainability have not paid much attention to the capability approach (CA) thus far. Against this backdrop, the present paper argues for the CA’s usefulness of sustainability. In order to avoid just an additional contribution to the already confusing theoretical situation as well as to rely our exploration of the CA’s aptness for a conception of sustainability on a transparent and comparable basis, we will first identify six adequacy conditions for concepts of sustainability. We will then work out a categorial framework for conceptions of sustainability. Finally we will demonstrate how the CA is a promising candidate for filling in the demands of this framework and what further research will be needed.     

Carbon footprint of food - approaches from national input-output statistics and a LCA of a food portion

The aim of the study, on which this paper is based, was to provide guidance to consumers to make environmentally responsible choices in their food consumption, to assist food supply chain stakeholders to identify the key areas for environmental improvements, and to provide policy makers with a tool for monitoring the potential impacts on climate change resulting from developments within the food sector. At the macro level, the EIO-LCA model was developed specifically for the Finnish food chain; at the micro level, LCAs were performed on 30 lunch portions. The contribution of the Finnish food chain to climate change was 14%, which comprised 40% CO₂ emissions, 25% CH₄ emissions, and 34% N₂O emissions. The share of impacts from domestic agricultural processes was the highest, at 69%. The impact of a single lunch portion ranged between 0.65 and 3.80 kg of equivalent CO₂. According to the EIO-LCA model, the average impact was 7.7 kg CO₂ eq/person daily. The consumer phase accounted for between 8 and 47% of the climate change impacts for homemade portions. In ready-to-eat portions industry and retail phases were emphasized, representing 25-38% of climate change impacts. We present an approach to steer the Finnish food sector onto an environmentally sustainable path; practical tools for consumers and farmers will especially need to be developed further.