Entrepreneur environment management behavior evaluation method derived from environmental economy

Evaluation system can encourage and guide entrepreneurs, and impel them to perform well in environment management. An evaluation method based on advantage structure is established. It is used to analyze entrepreneur environment management behavior in China. Entrepreneur environment management behavior evaluation index system is constructed based on empirical research. Evaluation method of entrepreneurs is put forward, from the point of objective programming-theory to alert entrepreneurs concerned to think much of it, which means to take minimized objective function as comprehensive evaluation result and identify disadvantage structure pattern. Application research shows that overall behavior of Chinese entrepreneurs environmental management are good, specially, environment strategic behavior are best, environmental management behavior are second, cultural behavior ranks last. Application results show the efficiency and feasibility of this method.     

Parametric study along with selection of optimal solutions in dry wire cut machining of cemented tungsten carbide (WC-Co)

This work deals with parametric study of dry wire EDM (WEDM) process of cemented tungsten carbide. Experiments have been conducted using air as dielectric medium to investigate effects of pulse on time, pulse off time, gap set voltage, discharge current and wire tension on cutting velocity (CV) surface roughness (SR) and oversize (OS). Firstly, a series of exploratory experiments were carried out to identify appropriate gas and its pressure. Afterward, preliminary experiments were conducted to investigate effects of process parameters on dry WEDM characteristics and find appropriate ranges for each factor. Then a central composite rotatable method was employed to design experiments based on response surface methodology (RSM). Empirical models were developed to create relationships between process factors and responses by considering to analysis of variances (ANOVA). To increase the predictability of the process, intelligent models have been developed based on back-propagation neural network (BPNN) and accuracy of these models was compared with mathematical models based on root mean square error (RMSE) and prediction error percent (PEP). In order to select optimal solutions in the cases of single-objective and multi-objectives optimization problems, optimization includes two main approaches. First approach was based on mathematical model and desirability function. Also second approach was designed based on neural network and particle swarm optimization. These approaches were applied in both cases of single-objective and multi-objectives optimization problems and their results were compared with together. Results indicated that selection of air at inlet pressure of 1.5 bar is really appropriate for conducting experiments of next stages. Also, the BPNN creates more accurate prediction rather than mathematical model. Moreover, the BPNN-PSO approach was more efficient in optimization of process rather than mathematical model-desirability function in respect with validation tests.     

A spatial-temporal optimization approach to watershed management: Acid mine drainage treatment in the Cheat River watershed, WV, USA

Most water management studies concentrate on the inter-temporal allocation problem or, more recently, spatial dynamics - but not both. While early spatial-temporal studies focused on the allocation of water quantity, this paper presents an approach to water quality analysis that incorporates both spatial and temporal dynamics in a watershed framework. The acid mine drainage (AMD) problem in the Cheat River watershed of West Virginia, USA, serves as a case study and provides an opportunity to test the modeling approach developed. The empirical models are written in General Algebraic Modeling System (GAMS) and solved using the CPLEX mixed integer programming package. The results suggest that available investments should be concentrated in heavily impaired stream segments. The model can be used to assess the economic implications of alternative watershed Total Maximum Daily Load (TMDL) implementation or other management strategies.     

响应面法优化锰氧化细菌发酵培养基

Bacillus sp.WH4是一株锰氧化能力强的锰氧化细菌,在锰污染的水源净化方面具有较好的应用前景.为提高发酵液中Bacillus sp.WH4的活菌数,应用响应面法优化其发酵培养基.Plackett-Burman设计获得对活菌数有显著影响的4个因素:豆粕粉、KH2PO4、MgSO4、FeSO4;最陡爬坡试验确定中心组合实验的最大响应区域;中心组合设计和响应面分析优化出4个显著因素的最佳浓度.优化后的最适培养基(w/%)组成为:蔗糖2、豆粕粉0.96、K2HPO4 0.8、KH2PO4 0.19、MgSO4.7H2O 0.11、CaCl2 0.02、NaCl 0.5、FeSO4.7H2O 0.02.发酵试验表明,最优培养基的活菌数可达4.2×109 CFU mL-1,比初始发酵培养基提高近3倍.     

均匀设计法优化樟芝产三萜液体发酵条件

为在兼顾生物量的基础上提高液体发酵中三萜的百分含量,首先通过单因子试验筛选出最佳的碳源、氮源、无机盐,然后采用均匀设计(UD)对其培养基配比和培养条件进行优化试验,建立适当的数学模型,并对模型进行验证确定优化条件.单因子试验结果表明玉米淀粉既能促进菌丝体的生长,又能促进三萜的合成;麸皮虽然对菌体生长略有不利,但是对三萜的积累作用特别显著;硫酸镁对菌丝体生长效果不显著,但是对三萜的合成比较有利.均匀设计试验结果表明,菌丝体干重最大的培养条件和三萜的最优培养条件相差甚远.菌丝体干重的最优培养条件为:1 L培养液中玉米淀粉47 g,麸皮47 g,硫酸镁0.5 g,初始pH 3.0,培养7 d;三萜最佳培养基配方为:1 L培养液中玉米淀粉20 g,麸皮20 g,硫酸镁1.85 g,初始pH 3.0,培养16 d.菌丝体干重在最优条件下能达到15.58(±0.37)g L-1;三萜百分含量在最优培养条件下高达6.04(±0.03)%,三萜的百分含量比基础发酵结果和报道的最高发酵结果3.18%提高了90%,因此,均匀设计法能有效优化液体发酵培养条件     

饮用水源中挥发性有机物分析方法的优化和应用

采用吹扫捕集—气相色谱—质谱联用技术分析水中的24种挥发性有机物。通过优化分析条件,改善了各组份的分离效果,节省了分析时间,得到各组份检测限为0.001-0.099μg/L,相对标准偏差为2.3%-5.6%,加标回收率为91.2%-107.6%,方法具有较好的精密度、准确度和低检测限。同时对漳州市饮用水源中的24种挥发性有机物进行监测分析,结果均低于检测限。     

塔里木油田三甘醇脱水装置参数优化研究

文章通过三甘醇脱水工艺的第三套三甘醇注醇量调整,第三套再生温度的调节、汽提气注入量调整、贫液进塔温度调整运行参数的优化,得出:当三甘醇脱水工艺循环量在3840kg/h左右时,再生效果最好,贫液浓度最高,所获得的干气水露点最低;三甘醇脱水工艺再生温度在190～200℃之间温度越高,再生效果越好;三甘醇脱水工艺再生装置在汽提气量30Nm3/h左右时,再生效果最好,贫液浓度最高,所获得的干气水露点最低。     

西柏坡电广烟气脱硫装置的运行诊断及优化

以西柏坡电厂一期2×300MW烟气脱硫工程为例,对吸收塔运行状况进行运行监测及化学分析,在不进行大规模改造的前提下,通过CFD技术模拟不同工况下的吸收塔烟气流场,通过增加导流板优化吸收塔烟气流场的分布,达到了提高脱硫效率的目的,对已建成的吸收塔进行后期优化改造,有良好的借鉴作用.     

基于瓦斯涌出量预测的近距离煤层群开采顺序优化选择

随着中厚煤层资源的枯竭,近距离薄煤层群开采成为我国资源的重要补充。煤层群开采时合理的采掘部署是防止工作面瓦斯集中涌出的关键,本文通过分析近距离煤层群开采时各回采顺序下工作面瓦斯涌出量,建立了以工作面瓦斯涌出量预测为基础的近距离煤层群开采优化模型,利用计算机编程实现了模型的可视化操作。该模型通过对比分析全部种回采顺序方案,选择整个回采期间瓦斯涌出量最均衡的方案为最优方案。对翔升煤矿进行了实例分析,结果显示合理的回采方案可以使工作面最大瓦斯涌出量大大减小,使整个回采期间工作面瓦斯涌出量趋于均衡。为煤层群开采优化技术中的瓦斯环节提供了理论依据。     

Monitoring and optimizing the co-composting of dewatered sludge: a mixture experimental design approach

The management of dewatered wastewater sludge is a major issue worldwide. Sludge disposal to landfills is not sustainable and thus alternative treatment techniques are being sought. The objective of this work was to determine optimal mixing ratios of dewatered sludge with other organic amendments in order to maximize the degradability of the mixtures during composting. This objective was achieved using mixture experimental design principles. An additional objective was to study the impact of the initial C/N ratio and moisture contents on the co-composting process of dewatered sludge. The composting process was monitored through measurements of O(2) uptake rates, CO(2) evolution, temperature profile and solids reduction. Eight (8) runs were performed in 100 L insulated air-tight bioreactors under a dynamic air flow regime. The initial mixtures were prepared using dewatered wastewater sludge, mixed paper wastes, food wastes, tree branches and sawdust at various initial C/N ratios and moisture contents. According to empirical modeling, mixtures of sludge and food waste mixtures at 1:1 ratio (ww, wet weight) maximize degradability. Structural amendments should be maintained below 30% to reach thermophilic temperatures. The initial C/N ratio and initial moisture content of the mixture were not found to influence the decomposition process. The bio C/bio N ratio started from around 10, for all runs, decreased during the middle of the process and increased to up to 20 at the end of the process. The solid carbon reduction of the mixtures without the branches ranged from 28% to 62%, whilst solid N reductions ranged from 30% to 63%. Respiratory quotients had a decreasing trend throughout the composting process.