基于灰色-马尔科夫模型的我国能源消费结构优化调整

本文以我国1997—2010年的消费结构数据为基础,运用灰色-马尔科夫链模型对数据进行了分析和预测,然后通过MATLAB预测了我国未来十年的能源消费结构,结合我国政府承诺的非化石能源目标对模型预测结果做了进一步的修正,最后根据能源发展趋势给出了能源消费结构的优化策略。     

构造煤孔隙结构与瓦斯耦合特性研究

利用压汞法、低温氮吸附法、瓦斯等温吸附和解吸试验对平煤八矿构造煤和共生原生结构煤进行综合分析,探讨了构造煤孔隙结构与瓦斯耦合特性.结果表明,构造煤以微孔为主,中孔和大孔相对发育且含较多细颈瓶孔,孔隙连通性差.与共生原生结构煤相比,构造煤各孔径阶段的孔容和孔比表面积都有所增加.构造煤比表面积的增加具有阶段性,即孔径＜ 1.2 nm时为慢增加阶段,孔径=1.2 ～ 4.9nm时为快增加阶段,孔径＞4.9 nm时为稳定阶段.构造煤极限瓦斯吸附量a的增大与比表面积快增加阶段关系密切,但小于其BET比表面积的增幅.瓦斯解吸初期0～2 min内构造煤瓦斯解吸速度和解吸量明显大于共生原生结构煤,与中孔和大孔的变化一致,2 min以后瓦斯解吸迅速衰减.低煤体强度、高瓦斯含量的构造煤以气-煤共溶体形式储集更多弹性潜能,突然卸压时瓦斯膨胀能迅速释放,煤层中发育的构造煤增加了煤与瓦斯突出的危险性.     

A dual-sensor-based method to recognize pipeline leakage and interference signals

During the detection of pipeline leakages, false alarms of leak detection could be markedly reduced if the interference signals resulting from pressure regulating, pump regulating or valve movements could be accurately distinguished. A digital recognition method for interference signals and leakage signals based on a dual-sensor system is proposed in this paper. It is demonstrated that the direction of the signal can be recognized by a cross-correlation calculation between two signals from the dual-sensor, one of which undergoes forward linear interpolation and backward linear interpolation. Based on this theory, the interference signal and the leak signal can be discriminated exactly, and the distance between the two sensors in the dual-sensor system can be considerably reduced without needing to increase the sampling frequency. The monotonicity of the cross-correlation function is demonstrated, and a fast discrimination algorithm based on a binary extreme search method, which decreases the computational load and maintains global optimization, is also proposed. A pre-processing method of the actual signal is proposed to decrease the identity requirement for the two sensors in a dual-sensor system. In the experiment based on artificial signals, the proposed discrimination algorithm could achieve accurate recognition of the abnormal signal, and as such, the theory and application of pipeline leak detection based on dual-sensor systems are extended.     

污染排放对经济发展的负面影响研究

以1998—2009 年各地区的数据为样本,利用联立方程模型检验污染排放对经济发展的负面影响,以及宏观经济结构对这种影响的调节作用.研究发现,经济发展与污染排放之间存在相互影响的关系,经济结构与污染排放之间也存在相互影响的关系.当期经济发展水平的提高必然会引起污染排放的增加,但当期污染排放的增加会对今后经济发展产生滞后的负面效应.投资和出口对污染排放的负面影响存在调节作用,即投资比重越高,出口比重越低,当期经济增长引起的污染排放越少,污染排放的负面影响也越小.不过,消费比重对污染排放负面影响不存在调节作用.     

Could wastewater analysis be a useful tool for China? — A review

Analysingwastewater samples is an innovative approach that overcomesmany limitations of traditional surveys to identify and measure a range of chemicals that were consumed by or exposed to people living in a sewer catchment area. First conceptualised in 2001, much progress has been made to make wastewater analysis (WWA) a reliable and robust tool for measuring chemical consumption and/or exposure. At the moment, the most popular application of WWA, sometimes referred as sewage epidemiology, is to monitor the consumption of illicit drugs in communities around the globe, including China. The approach has been largely adopted by lawenforcement agencies as a device tomonitor the temporal and geographical patterns of drug consumption. In the future, themethodology can be extended to other chemicals including biomarkers of population health (e.g. environmental or oxidative stress biomarkers, lifestyle indicators or medications that are taken by different demographic groups) and pollutants that people are exposed to (e.g. polycyclic aromatic hydrocarbons, perfluorinated chemicals, and toxic pesticides). The extension of WWA to a huge range of chemicals may give rise to a field called sewage chemical-information mining (SCIM) with unexplored potentials. China has many densely populated cities with thousands of sewage treatment plants which are favourable for applying WWA/SCIM in order to help relevant authorities gather information about illicit drug consumption and population health status. However, there are some prerequisites and uncertainties of the methodology that should be addressed for SCIM to reach its full potential in China.     

Molecular diversity of arbuscular mycorrhizal fungi at a large-scale antimony mining area in southern China

Arbuscular mycorrhizal fungi (AMF) have great potential for assisting heavy metal hyperaccumulators in the remediation of contaminated soils. However, little information is available about the community composition of AMF under natural conditions in soils contaminated by antimony (Sb). The objective of this study was to investigate the characteristics of AMF molecular diversity, and to explore the effects of Sb content and soil properties on the AMF community structure in an Sb mining area. Four Sb mine spoils and one adjacent reference area were selected from around the Xikuangshan mine in southern China. The association of AMF molecular diversity and community composition with the rhizosphere soils of the dominant plant species was studied by Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE). Results from all five studied sites showed that the diversity of AMF decreased with increasing Sb concentration. Principal component analysis (PCA) indicated that the AMF community structure was markedly different among these groups. Further redundancy analysis (RDA) showed that Sb contaminationwas the dominating factor influencing the AMF community structure in the Sb mine area. However, the multivariate analysis showed that, apart from the soil Sb content, extractable nitrogen content and organic matter content also attributed to AMF sequence distribution type. Some AMF sequences were only found in the highly contaminated area and these might be ideal candidates for improving phytoremediation efficiency in Sb mining regions. Gene sequencing analysis revealed that most species were affiliated with Glomus, suggesting that Glomus was the dominant AMF genus in the studied Sb mining area.     

Responses of soil ammonia oxidizers to a short-term severe mercury stress

The responses of soil ammonia-oxidizing archaea(AOA) and ammonia-oxidizing bacteria(AOB) to mercury(Hg) stress were investigated through a short-term incubation experiment.Treated with four different concentrations of Hg(CK,Hg25,Hg50,and Hg100,denoting 0,25,50,and 100 mg Hg/kg dry soil,respectively),samples were harvested after 3,7,and 28 day incubation.Results showed that the soil potential nitrification rate(PNR) was significantly inhibited by Hg stress during the incubation.However,lower abundances of AOA(the highest in CK: 9.20 × 10~7 copies/g dry soil; the lowest in Hg50: 2.68 × 10~7 copies/g dry soil) and AOB(the highest in CK: 2.68 × 10~7 copies/g dry soil; the lowest in Hg50:7.49 × 10~6 copies/g dry soil) were observed only at day 28 of incubation(P 0.05).Moreover,only the community structure of soil AOB obviously shifted under Hg stress as seen through DGGE profiles,which revealed that 2–3 distinct AOB bands emerged in the Hg treatments at day 28.In summary,soil PNR might be a very useful parameter to assess acute Hg stress on soil ecosystems,and the community structure of soil AOB might be a realistic biological indicator for the assessment of heavy metal stress on soil ecosystems in the future.     

基于改进灰色关联分析法在居民环境消费结构中的研究

依据平顶山市2005年-2012年的统计年鉴,平顶山市居民环境人均消费性数据,选取食品、衣着、居住、家庭设备用品及服务、医疗保健、交通和通信、教育文化娱乐服务、杂项商品及服务八大类,将改进的灰色关联度分析方法和综合评价模型相结合,建立灰色关联度分析模型,对平顶山市居民环境结构关系进行分析.结果表明:教育文化娱乐环境服务的关联性最高,食品、交通通信、居住医疗保健、衣着、家庭设备用品及服务、杂项商品和服务环境位居其后.     

基于圈层建设用地密度分析的中国主要城市扩张的时空特征

基于圈层建设用地密度分析,提出了城市扩张核心度指数;通过计算城市扩张核心度指数和城市扩张强度指数,分析了1990~2010年中国27个主要城市距城市中心不同距离区域的城市扩张的时空模式。研究发现:(1)1990~2010年,大部分城市核心度指数不断降低,城市空间结构变化与国家区域政策密不可分,呈现明显的区域特征。1990~2000年东部沿海地区城市核心度值减少幅度较大,2000~2010年则是东北部和中西部城市降低明显。总体上看,西部和东北部城市的核心度指数要高于东部和中部的城市,结构更加紧凑。(2)城市扩张最活跃的地方总是出现在核心区边界附近,并不断向外推移。(3)城市的形态与城市的发展阶段密切相关。1990~2000年,一线城市扩张的强度和范围远大于其他城市;2000~2010年,二三线城市的扩张强度和范围明显增加。经济比较发达的城市,建设用地的扩张逐渐由单中心扩展向多中心协同发展转变,而经济相对落后西部城市和东北部城市,城市结构比较紧凑,保持着单中心的城市形态。