中国电力行业可持续发展研究

能源问题是可持续发展研究中的重点之一.目前电力是应用最广泛、最方便、最清洁的一种二次能源.在分析中国电力行业的发展概况,对未来电力需求作出预测,并总结了目前中国电力行业的供给情况,提出当前电力行业存在的结构不合理、产能过剩、电网建设滞后等问题;并以此为基础,从提高经济与环境协同度的角度出发,针对电力行业的结构调整提出发展水电核电的建议,最后探讨了在电力行业中发展清洁生产和循环经济,旨在对中国电力行业的可持续发展作出初步研究.     

A theoretical study of hydrogen-bonded molecular clusters of sulfuric acid and organic acids with amides

Amides, a series of significant atmospheric nitrogen-containing volatile organic compounds (VOCs), can participate in new particle formation (NPF) throught interacting with sulfuric acid (SA) and organic acids. In this study, we investigated the molecular interactions of formamide (FA), acetamide (AA), N-methylformamide (MF), propanamide (PA), N-methylacetamide (MA), and N,N-dimethylformamide (DMF) with SA, acetic acid (HAC), propanoic acid (PAC), oxalic acid (OA), and malonic acid (MOA). Global minimum of clusters were obtained through the association of the artificial bee colony (ABC) algorithm and density functional theory (DFT) calculations. The conformational analysis, thermochemical analysis, frequency analysis, and topological analysis were conducted to determine the interactions of hydrogen-bonded molecular clusters. The heterodimers formed a hepta or octa membered ring through four different types of hydrogen bonds, and the strength of the bonds are ranked in the following order: SOH???O > COH???O > NH???O > CH???O. We also evaluated the stability of the clusters and found that the stabilization effect of amides with SA is weaker than that of amines with SA but stronger than that of ammonia (NH₃) with SA in the dimer formation of nucleation process. Additionally, the nucleation capacity of SA with amides is greater than that of organic acids with amides.     

Influencing factors and prediction of ambient Peroxyacetyl nitrate concentration in Beijing, China

Peroxyacyl nitrates (PANs) are important secondary pollutants in ground-level atmosphere. Accurate prediction of atmospheric pollutant concentrations is crucial to guide effective precautions for before and during specific pollution events. In this study, four models based on the back-propagation (BP) artificial neural network (ANN) and multiple linear regression (MLR) methods were used to predict the hourly average PAN concentrations at Peking University, Beijing, in 2014. The model inputs were atmospheric pollutant data and meteorological parameters. Model 3 using a BP-ANN based on the original variables achieved the best prediction results among the four models, with a correlation coefficient (R) of 0.7089, mean bias error of ? 0.0043 ppb, mean absolute error of 0.4836?ppb, root mean squared error of 0.5320?ppb, and Willmott's index of agreement of 0.8214. Based on a comparison of the performance indices of the MLR and BP-ANN models, we concluded that the BP-ANN model was able to capture the highly non-linear relationships between PAN concentration and the conventional atmospheric pollutant and meteorological parameters, providing more accurate results than the traditional MLR models did, with a markedly higher goodness of R. The selected meteorological and atmospheric pollutant parameters described a sufficient amount of PAN variation, and thus provided satisfactory prediction results. More specifically, the BP-ANN model performed very well for capturing the variation pattern when PAN concentrations were low. The findings of this study address some of the existing knowledge gaps in this research field and provide a theoretical basis for future regional air pollution control.     

Watershed protection and landscape enhancement by utilization of river water

A scheme for watershed protection and landscape enhaneement(WPLE) by utilization of fiver water was proposed to renovate water resources and protect ecological environment in Qiongshan City, Hainan Province, China. Utilization of fiver water may diminish the drought and flood risks. The scheme is benefieial to solve the problems of water resources shortage, groundwater declines and saltwater intrusion in the watershed. The object of the WPLE scheme is to aehieve a sustainable integrated development of environment, ecology, economy and society.A kind of physieally beautiful and funetionally vivid landscape may exert its synthetieal funetion on the diversity of landscape and the enjoyment of inhabitants. Feasibility of the scheme will be demonstrated by more exoeriments and tests, as well as observations in a long term.     

含硫酸盐有机废水的厌氧生物处理

本文对硫酸盐在废水的厌氧生物处理过程中的影响进行了综述.着重论述了厌氧消化中硫酸盐还原菌和产甲烷茵竞争基质的机理,硫化物对甲烷菌的抑制作用,并介绍含硫酸盐废水的处理工艺,及厌氧出水中硫化物去除的方法.     

中国出口家电反向物流网络及其优化研究

文章分析了反向物流网络的特征、分类以及影响废旧家电回收反向物流构建的因素及构建原则;运用博弈论知识论证了进行废旧家电反向物流的必然性,在此基础上构建了废旧家电反向物流网络,运用混合整数线性规划模型对其进行优化.最后,本文运用例子证明了混合整数线性规划及其算法-分枝定界法的实用性和有效性.     

新式十字轴径向挤压模具

此文提出了一种新式的十字轴径向挤压模具,此模具动作平稳可靠,生产率高,模具寿命较长,稍加改进后,此模具可适用于各种枝状件径向冷挤压或热锻.     

南岳森林群落生物多样性研究(Ⅱ)广济寺森林群落植物物种多样性测定

本文根据实地调查资料及其统计分析结果,选用了24个物种多样性指数公式,并采用重要值、株数或鲜重以及优势度或盖度等作为测度指标,对南岳广济寺森林群落植物物种多样性进行了研究。结果表明,南岳广济寺森林属落多样性较高,接近山地季雨林的水平;此外,不同测度指标对物种多样性指数计算值并无明显的规律性。     

南岳森林群落生物多样性研究(Ⅲ)广济寺森林群落植物物种相对多度分布格局

本文选用几何级数分布、分割线段、对数级数分布和对数正态分布等模型研究了南岳广济寺森林群落植物物种相对多度的分布格局。结果表明,对数级分布模型适于拟合南岳广济寺森林群落乔木层和灌木层物种相对多度的分布格局;分割线段中的序列一多度模型仅适合于乔木层;对数正态分布模型仅适合于草本层;几何级数分布模型完全适合于拟合任何层次。此外,α指数值亦显示出本群落接近山地季雨林的多样性水平。     

连云港市新海地区水污染集中控制系统

本文论述了连云港市新海地区水污染集中控制系统的四个主要问题：尾水最终出口，污水截流工程，污水集中处理工艺、点源治理规划。提出了的近北远南，截流沟道、河滩漫流、排口分级管理的新观点。