基于灰色理论的废弃电路板金属回收模型研究

电子废弃物的资源化既能实现资源的二次利用,又能防止环境污染,具有重要的理论意义和应用价值.运用灰色理论对离心复合力场回收废弃电路板金属过程中反冲水、转速和浓度等操作参数对分选效果(精矿品位和精矿的回收率)的影响进行了研究,建立了基于GM(0,N)灰色模型的离心复合力场回收废弃电路板分选模型.经验证模型精度较高.     

浙江省碳排放与经济增长的脱钩关系及驱动因素研究

运用IPCC参考方法、Tapio脱钩模型、协整分析和Granger因果检验,研究了浙江碳排放特征及其驱动因素.结果表明:碳排放量呈增长趋势,碳排放强度呈下降趋势,多数年份碳排放与经济增长之间呈"弱脱钩"状态;经济增长、外贸和人口增长对碳排放正向驱动,能源效率和城市化对碳排放负向驱动;经济增长、外贸、城市化和人口增长是引起碳排放增长的单向Granger原因,能源效率与碳排放互为Granger原因.     

基于改进灰靶模型的污染状况评价方法及应用研究

鉴于环境数据的小样本和少信息特点,将改进的灰靶模型和熵权法相结合,应用于污染状况评价.选用废水、化学需氧量、氨氮、二氧化硫和烟尘作为评价因子,利用地区面积和地区降水量对排放指标进行折算得到污染指数,利用污染指数对山东省17个地市2001年至2013年的污染状况进行综合评价,并对经济和环境的关系进行了分析,评价结果表明:除东营、聊城、滨州外,大部分地区十三年中在省内相对污染状况没有较大变化;仅青岛、威海、烟台等少数地区的经济和环境关系比较和谐,其他大部分地区经济和环境关系不和谐.     

公路线源大气环境影响预测方法对比分析研究

文章通过从模式原理、范围和特点等方面对AERMOD大气预测模式与EIAA预测模式进行对比分析,以甘肃省天水段G310国道升级改造项目为例,分别采用AERMOD和EIAA两种模式对交通线源排放的特征污染因子CO在各环境空气敏感点的小时最大浓度进行预测,并对预测值与实测值进行对比分析,探讨两种模式在公路线源大气环境影响预测中的适用性及差异性。以期为今后开展道路交通类建设项目大气环境影响预测评价中模式的选取提供参考和借鉴。     

Physiologically based pharmacokinetic modeling of perfluoroalkyl substances in the human body

Currently, there are limited data on the levels of perfluoroalkyl substances other than perfluorooctane sulfonic acid and perfluorooctanoic acid in the human body. Most of this information has been extracted from biological monitoring of plasma while the occurrence of perfluoroalkyl substances in other human tissues is rarely studied. The objective of the present study was to develop a physiologically based pharmacokinetic model to assess the concentration of perfluoroalkyl substances in human tissues, based on an existing model previously validated for perfluorooctane sulfonic acid and perfluorooctanoic acid. Experimental data on concentrations of perfluoroalkyl substances in human tissues from individuals in Tarragona County (Catalonia, Spain) were used to estimate the values of some distribution and elimination parameters needed for the simulation. No significant correlations were found between these parameters and the chain lengths. The model was finally validated for five perfluoroalkyl substances.     

Model of chloride ingress into concrete in cold regions

Chloride ingress and freeze-thaw cycles are the most important mechanisms for deterioration of concrete in cold areas. In this study, chloride ingress into concrete that has been exposed to freeze-thaw cycles was investigated. Data demonstrated that freeze-thaw cycles allow for a larger effective diffusion coefficient. Based on our findings, the concept of a developing coefficient was defined to obtain the evolution equation of the effective diffusion coefficient. Together with considering the effect of aging of concrete on the effective diffusion coefficient, the time-dependent diffusion coefficient was also obtained. Based on Fick's second law and time-dependent diffusion coefficient, chloride ingress model of concrete in cold regions was derived. Finally, the model was tested by comparing predicted results, lab results, and in situ inspection data.     

预测沉积物-水微宇宙系统中化学品浓度变化的多介质模型

沉积物-水微宇宙系统是经济合作发展组织(Organisation for Economic Co-Operation and Development,OECD)颁布的化学品测试准则中推荐的试验系统之一,可用来测试化学品对底栖生物的慢性毒性。为了在试验前对化学品的浓度变化进行预测,进而确定试验方法,以摇蚊慢性毒性试验系统为例,采用环境多介质模型的建模方法,构建了一种可通过化学品理化性质和试验系统参数,对化学品在沉积物-水试验系统中浓度变化进行预测的模型。结合试验数据和文献资料,给出了模型中试验系统参数的推荐取值,并使用Matlab软件中的Simulink工具对模型进行编程和求解。以此模型为基础,给出了模型在3个方面的应用,即预测蓄积时间、预测平衡时间以及拟合试验数据。对80种已有或假想化学品的蓄积时间和平衡时间进行了计算,得出的范围分别为1~204 d和1~73 d。此外,适当修改模型结构和模型参数,也可将其应用于其他暴露场景中。但使用模型对化学品浓度进行预测时发现,模型仅对沉积物中化学品浓度的预测结果较为准确,而对水中化学品浓度的预测结果与实测值相差1~2个数量级。模型对浓度的预测精度未来仍需进一步提高。上述研究结果完善了沉积物-水微宇宙系统试验方法。     

SMART-SREC: A stochastic model of the New Jersey solar renewable energy certificate market

Markets for solar renewable energy certificates (SRECs) are gaining in prominence in many states, stimulating growth of the US solar industry. However, SREC market prices have been extremely volatile, causing high risk to participants and potentially less investment in solar power generation. Such concerns necessitate the development of realistic, flexible and tractable models of SREC prices that capture the behavior of participants given the rules that govern the market. We propose an original stochastic model called SMART-SREC to fill this role, building on established ideas from the carbon pricing literature, and including a feedback mechanism for generation response to prices. We calibrate the model to the New Jersey market and backtest it, analyzing parameter sensitivity and demonstrating its ability to reproduce historical dynamics. Finally, we run simulations to investigate the role and impact of regulatory parameters, thus providing insight into the crucial role played by market design.     

Environmental policy and macroeconomic dynamics in a new Keynesian model

This paper studies the dynamic behavior of an economy under different environmental policy regimes in a New Keynesian model with nominal and real uncertainty. We find the following results: (i) an emissions cap policy is likely to dampen macroeconomic fluctuations; (ii) staggered price adjustment alters significantly the performance of the environmental policy regime put in place; (iii) the optimal environmental policy response to shocks is strongly influenced by the degree to which prices adjust and by the monetary policy reaction.     

关于气溶胶颗粒物沉积率系数平均方法模型的改进研究

气溶胶颗粒物在壁面的沉积率系数模型的研究已经成为现代气溶胶动力学研究的重要课题.本文通过实验腔测量和理论分析相结合,对Koivisto等(2012)提出的平均方法模型(AM)中的关键参数(即时间间隔)的选取和对测量数据量的要求两个问题进行研究.选取目前广泛使用的最小二乘法模型(LSM)和Lai和Nazaroff(2000)提出的理论分析模型进行对比.研究发现,AM模型中的时间间隔这一关键参数,应由目前的50矫正为20;AM模型和LSM模型均要求实验测量数据个数等于或者大于10,但是AM模型在小数据量情况下的预测结果更精确.