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Economic development is one of the targets of the whole human society. In macroeconomic theory, the developments of the economy are largely driven by consumption, investment, government purchases. In economic theory, we usually use to describe the development of economy, GDP and GDP will be affected by the price level. To measure the price level, we generally use the consumer price index, commodity retail price index to describe; Investment is usually measured with fixed asset investment and gross value of industrial output. In this article, through nearly 20 years in China's gross domestic product (GDP) and gross domestic product (GDP) of some important indicators, such as the residents' consumption level, the fiscal expenditure, gross value of industrial output and commodity retail price index, the consumer price index, urban residents' income, rural residents income, such as the total energy consumption data, using SPSS software to provide the descriptive analysis, factor analysis, regression analysis and other methods of data carried on the thorough analysis, and analysis the problems reflected by some targeted Suggestions are given.

Liangjiang Great Bridge is the prestressed concrete continuous rigid frame bridge with high pier and long-span. It adopts the segmented cantilever construction method. The process of its construction is the key to the construction control simulation analysis. In this paper, based on the characteristics of the bridge construction, finite element method is used to establish the simulation model. Cantilever construction stages and closure stages of bridge are simulated and analyzed. The structure deflection diagrams in the each section construction and the later construction considering the creep and shrinkage of concrete are obtained. The initial camber of each segment is given in the construction. The stress characteristics of key section are analyzed in the construction process. It provides a basis for monitoring and on-site construction of bridge and the reference for similar bridge construction.

Urban power supply system has close relationship with urban public safety. The main risk factors, accident types and the risk degree of failures or accidents in urban power supply system are analyzed. And, it has established the public safety risk assessment system of urban power supply system. In order to show that the assessment system has good applicability in the risk assessment of urban power supply system, the power supply system safety of one urban is assessed using established risk assessment system.

The quantitative area risk assessment (QARA) are definitted based on the characteristics of the area risk assessment, and the model of the QARA are proposesed. Based on the accident consequences analysis method and the theory of grey correlation, it presents the risk correlation analysis method which is used to analysis the risk correlation value between the projects, and discusses the grading method of the risk correlation according to the smooth handling idea. The practical applying results show that the theory of risk correlation has a good practical in QARA.

Air quality in car is attracted attention more and more but the air quality evaluation is difficult to achieve standardization in short time. The fuzzy comprehensive evaluation method was introduced in this paper. The in-car air quality classification method was determined. Weight of each index factor was determined according to the degree of different pollutants harm to human. The evaluation results would provide theoretical basis for the comparison of different in-car air quality conditions and air pollution control. An example was given to illustrate the application of the fuzzy comprehensive evaluation method.

Building space cooling load affected by lots of factors,was transient, multi-dimensional and highly interactive. A model of online least squares support vector machine (LS-SVM) was established to forecast the space cooling load of building, and correlation analysis was used to find out the main influencing factors, such as, dry-bulb temperature, solar irradiance, and so on. As an example, the hourly space cooling load of an office building in shanghai was investigated. The hourly space cooling load was firstly calculated by the simulation software of DEST, and then, an online LS-SVM model was presented to forecast the load. The simulation results showed that the online LS-SVM model was effective for space cooling load prediction.

Hollow nanostructures have important applications in the field of gas adsorption, separation and storage due to their large specific surface areas. Silicon carbide nanotubes (SiCNTs) are one kind of such materials. In this paper, SiCNTs were synthesized from multiwalled carbon nanotubes (MWCNTs) via chemical vapor reaction (CVR) and purification. The SiCNTs were characterized by XRD, SEM and TEM. The results revealed that C-SiC nanotubes were obtained after CVR and most carbon were removed after purification with some traces retained inside SiCNTs. Hydrogen storage capacities measurements indicated that SiCNTs are superior to MWCNTs.