污染密集型企业区域迁移后的环境行为分析

在国家主体功能区规划和区域经济发展战略的共同推动下,大量污染密集型企业从东部沿海向中西部地区迁移。中西部地区如何实现经济发展和生态环境保护的双赢,迁移企业的环境行为改善成为问题的关键。本文以江西省G市H电源公司为案例,研究迁移企业环境行为改善的阶段特征,分析各利益相关者的相互作用以及企业响应,探讨促进企业环境行为改善的驱动机制。研究发现,迁移企业的环境行为优化和环境绩效提高不是自发的,是各利益相关者多次博弈的过程。在这个过程中,严格的环境规制和民众环保意识的提高是重要的推动因素;地方政府具有执行环境规制和追求经济增长的双重角色,使迁移企业环境行为的改善进程更加复杂,污染密集型企业的可持续发展需要新的思路。在案例研究的基础上,本文试图探索中西部地区实现经济发展与生态环境保护双赢的路径,为实现中国经济的绿色转型和升级提供有益的借鉴和参考。     

交通系统碳交易实现途径研究

由于交通运输行业的移动点源碳排放不同于电力和钢铁等固定排放点源,具有不易于管理和监测的特点,且方法学发展滞后,使得大多数碳排放交易系统未将其纳入早期控排范围。本文分析比较了交通系统碳交易方法学的发展状况,将碳交易项目开发潜在领域归纳为4类:道路交通领域,涉及到的方法学比较复杂,有十几种之多;城市轨道交通领域,主要采取ACM0016和CM-028-V01方法学;航空运输领域,至2014年10月尚未有适用于该领域的方法学获得批准;铁路运输领域,涉及到的方法学主要是AM0101。并分别各领域计算出相应的潜在减排量。分析了交通系统3个碳交易项目案例,其中,已在北京环境交易所挂牌的不停车电子收费系统碳开发项目,认可的温室气体清单为:基准线排放量27 078.936 103 t CO2e;项目排放量20 975.456 103 t CO2e;泄露0;项目减排量6 103 t CO2e。已完成碳核查报告的城市燃料替换公共交通项目,第一年减排量计算结果为:基准线排放量218 333 t CO2e;项目排放量158 824 t CO2e;泄露0;项目减排量59 509 t CO2e。正在开发的城市轨道公共交通项目,预计在整个10年的计入期内可以产生减排量2 057 064 t,平均每年205 706 t。基于案例分析,提出在总量控制碳交易试点下的交通系统碳交易项目测量、报告、核查建设要点:1建立交通温室气体排放数据统计、核算和管理体系。2编制城市交通体系温室气体清单。3参与制定《交通行业温室气体排放核算与报告指南》。4建立节能减排管理制度和团队,系统化、规范化管理企业能源消耗以及温室气体排放。     

基于响应面法的污泥快速固化效能综合影响

针对现有污泥固化技术存在的固化养护时间长、低温条件下固化效能低等问题。研究提出污泥快速（3d）固化技术,采用响应曲面分析方法,重点考察了石灰、组分A、硅酸盐水泥、粉煤灰和温度等5因素对固化效能的综合影响,研究结果表明,石灰、组分A、硅酸盐水泥、粉煤灰和养护温度等因素对3d固化体的无侧限抗压强度和含水率的线性效应显著,石灰和组分A、石灰和养护温度对无侧限抗压强度的交互影响显著,石灰和粉煤灰、组分A和养护温度、硅酸盐水泥和粉煤灰对含水率的交互影响显著;得出了5因素对固化体3d无侧限抗压强度和含水率影响的定量模型,可对污泥快速固化进行优化和预测;并利用XRD和SED对污泥固化块的化学成分和微观结构进行了分析。     

A Box-Behnken design for determining the optimum experimental condition of the fungicide (Vapam) sorption onto soil modified with perlite

In the present study, response surface methodology (RSM) based on the Box-Behnken design (BBD) was employed to investigate the effects of the different operating conditions on the removal of the fungicide (Vapam) onto soil modified with perlite using sorption process. The process parameters such as pH of the fungicide solution (2, 5 and 8), temperature (15, 25 and 35°C), shaking time (2, 13 and 24 h) and the percentage of perlite in the modified soil (0, 2 and 4 %) were investigated using a four-factor-three-level Box-Behnken design at an initial fungicide concentration of C₀ = 1.6 mg/L as a fixed input parameter. A second-order quadratic model suggested the optimum conditions to be as follows: fungicide solution pH of 3.57, temperature of 15°C, shaking time of 3.5 h and 4% of perlite in the modified soil which resulted in the improvement of Vapam sorption. Under optimum conditions, the fungicide (Vapam) removal was predicted 12.88 μg/g by BBD. The confirmatory experiments were conducted and the results revealed that the fungicide removal was 13.14 μg/g which indicated that the predicted and the observed values of response (Vapam removal) were in close agreement. Therefore, the soil modified with perlite holds good potential for Vapam sorption. This is the first report on fungicide Vapam sorption onto soil modified with perlite using statistical experimental design employing response surface methodology.     

一株高效广谱染料脱色菌脱色条件的优化

以模拟酸性大红3R染料废水为对象,在单因素实验基础上,选取温度、初始染料浓度、酵母粉浓度三因素为影响因子,以染料脱色率为响应值,利用Box-Behnken设计及响应面分析法研究了各因素对一株广谱型染料脱色菌株Enterobacter cloacae strain M3脱色效果的影响及各因素间交互作用,建立了二次多项式回归方程的预测模型,确定了菌株脱色酸性大红3R废水的优化条件。结果表明：回归方程极显著,拟合性好。最优脱色条件为温度36℃,染料浓度121.12 mg/L,酵母粉浓度1.99%,在此条件下,染料脱色率可达99.21%。经实验验证,实际值与模型预测值拟合良好,偏差仅为0.79%。     

响应面优化CCl4增强超声降解左旋氧氟沙星模拟废水

利用响应面优化实验设计方法对CCl4增强超声降解左旋氧氟沙星模拟废水的影响因素进行探讨和分析,考察了溶液初始pH值、超声功率、左旋氧氟沙星初始浓度的影响。应用Box—Behnken中心组合设计得到一个二次多项式数学模型,确定了US／CCl4降解左旋氧氟沙星的优化条件：初始pH值6．8,超声功率189W,左旋氧氟沙星初始浓度为5mg／L时,左旋氧氟沙星的去除率达到最大（82．99％）。经实验验证,实际值与模型预测值吻合性良好,偏差仅为0．036％。     

响应曲面法优化固相反硝化的工艺条件

以一种新型可降解材料PLA/PHBV共混物为碳源和生物膜载体,对硝酸盐污染水进行反硝化脱氮。在温度为(29±1)℃,pH为(7.5±0.2)条件下,利用响应曲面法考察了进水硝态氮浓度、水力停留时间(HRT)和出水硝态氮浓度之间的关系,建立了以出水硝态氮浓度为响应值的二次多项式回归模型,模型预测值与实验值能很好吻合。方差分析结果表明,进水硝态氮浓度和HRT及其交互作用对响应值均具有显著性影响(P<0.01)。     

Box-Behnken响应曲面优化铁炭微电解降解结晶紫

在单因素实验的基础上,以结晶紫脱色率为评价指标,铁炭比、反应时间与曝气量为考察因素,采用Box-Be-hnken响应曲面法优化铁炭微电解降解结晶紫的工艺条件,同时得出相应的数学模型。实验表明,在结晶紫初始浓度为100mg/L和体积为300 mL,pH为3,反应时间为80 min,铁屑的投加量为20 g,铁炭质量比为2∶1,曝气量为20 L/h的条件下,铁炭微电解对结晶紫的脱色率可达到89.6%。通过Box-Behnken响应曲面可知,铁炭比、反应时间、曝气量以及铁炭比和反应时间的交互作用对结晶紫的脱色率均有显著影响,其中曝气量对脱色率的影响尤为显著;回归模型决定系数R2=0.9067,P=0.039,表明此模型拟合程度良好,且模型显著。铁炭微电解降解结晶紫最佳的工艺条件为:铁炭比为2.4∶1,反应时间为84 min、曝气量为40 L/h,脱色率为93.25%,回归模型的预测值与测定值偏差率为2.26%。     

Implementation of a software platform to support an eco-design methodology within a manufacturing firm

The paper aims to explore the implementation of an eco-design methodology and the related software platform (G.EN.ESI – Green ENgineering dESIgn) within technical departments of a manufacturing firm. The G.EN.ESI eco-design methodology is based on the life cycle thinking concept and the software platform is conceived as a set of inter-operable software tools able to efficiently exchange data among them and with the traditional design systems (i.e. CAD, PDM and PLM). A multinational company, designing and producing household appliances, adopted the proposed methodology and related software platform for redesigning two cooker hood models with the aim to improve their environmental performances. Design and engineering departments evaluated the methodology and platform impact on the product development process, as well as the platform inter-operability with traditional design tools. The results indicate that methodology and software platform satisfy the requirements of the enterprise in terms of: (i) degree of expertise and training requirement on this subject, (ii) low impact in a consolidated design process and, (ii) good level of inter-operability among heterogeneous tools. However, the testing results highlight the necessity of a further platform optimisations in terms of software integration (single workbench made by integrated software tools with the same graphical user interface).     

The sustainability of China's major mining cities

The aim of this paper is to identify principal factors controlling the Degree of Sustainable Development of Mineral Resources (DSDMR) of mining cities and then to measure their DSDMR and reveal their developing trends. To do this, 78 Chinese mining cities are used as an example. These cities are classified on a hierarchical level of the DSDMR in order to support decision-making of sustainable development. Six principal factors controlling the DSDMR are recognized using factor analysis. They are used to measure the DSDMR of the Chinese mining cities and their developing trends. The results show that in terms of the type of mineral resources, the DSDMR decreases from petroleum to multi-resources to non-metal to coal to metal cities. It decreases also from middle to old to young aged cities and from eastern to central to western cities in geographical location. In addition, large and very large cities have higher DSDMR values than middle- and small-sized cities. These Chinese mining cities are classified into six clusters by cluster analysis, which forms the basis for policy making.