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Acknowledgements The authors gratefully appreciate the financial support from the National Natural Science Foundation of China (No.51378436) and Fundamental Research Funds for the Central Universities (SWJTU11ZT33).
Advanced Materials ResearchVols: 671-674 (2013),pp1122-1125
Design and Construction of Shaft for Xijiang Shield Tunnel in the Pipeline Project of Guangdong Provincial Natural Gas Grid (in Chinese).Chinese Journal of Underground Space and Engineering.2013,Vol.9,No.4 pp0884-0895.

The Application of Support Vector Regression Models which Based on MATLAB on the Simulation of Wastewater Treatment Plant Fuguang Gu 1,a, Zhaobo Chen2,b,*, Hongcheng Wang 3,c,Shunli Zhang 3,d, Shukai Nie3,e 1 School of Mapping and exploration Engineering, Jilin architectural and civil engineering institute, Changchun 130118, China 2 College of Environment and Resources, Dalian Nationalities University, Dalian 116600, China 3 School of Materials Science & Chemical Engineering, Harbin engineering university, Harbin 15001, China awhygfg_77@163.com, bczbhdx@163.com, c 651343752@qq.com, d562332623@qq.com, e 271698666@qq.com awhygfg_77@163.com,bczbhdx@163.com,c562332623@qq.com,d651343752@qq.com, e 419638006@qq.com Keywords： support vector regression model (SVM), simulation, mathematical model Abstract: Mathematical modeling and simulation technology is a very important wastewater treatment plant data processing analysis tools.
[7] JingXu L., HuaiPing C., YueJin-T., Journal of system simulation.Vol.(19) 2007, p. 1540-1547 [8] LIBSVM: a library for support Vector Machines [OL].

Acknowledgements This work is financially supported by the National Natural Science Foundation of China (No.51378436) and the Development Program for Innovative Research Group under the Education Ministry of China (IRT0955).
Chinese Journal of Underground Space and Engineering, 2011, 7(1): p0112-p0120
Applied mechanics and materials. 2014, Vols. 580-583, p1096-p1099.

It means that the approach in the design is possibly taken from other discipline or science, from psychology to biology.
As for the green roof, an ecoroof model developed by EnergyPlus was used as the basic material for the green roof.
The specification of the material are as follows: the leaf area index (LAI) is 5, the leaf reflectivity of 0.2 and the leaf emissivity of 0.95.
[5] Feng, C. et al., Theoretical and experimental analysis of the energy balance of extensive green roof, Journal of Energy and Buildings, 42 (2010), pp 959-965

The experimental materials 2.1 Solid carbon source and filler Corn straw, sawdust were selected as the carbon source for denitrification in this experiment, the straw stalk were cut into about 0.5-1.5cm segments, sawdust were powder.
Acknowledgements This research was financially supported by the Liaoning Province Education Science Research Project (L2013275), Liaoning Province Finance Research Foundation (13C019), Liaoning province university student innovation training project(2014) and Dalian Ocean University Students' innovation and entrepreneurship program plan project(2013).
Journal of the American Water Resources Association,2004,40(1):165-185

Through the basic research about the structure of the Arenga engleri fiber’s materials morphology, chemical composition and physical properties, we get the knowledge of the palm fiber’s structure and properties, which provides a theoretical basis for the application of the AEF.
[2] Yang Guicheng, Zeng Hanmin: Study on the relationship between the modification and tensile propertity of the sisal fiber，Journal of Sun yat-sen university(Natural Science), Vol 35 (1996), p78-80

Modeling and Numerical Investigations for Launching a Free-flight Models Using Light-gas Propulsion Technology LU Xina, ZHOU Yan-huangb and YU Yong-gangc School of Energy and Power Engineering, Nanjing University of Science and Technology Nanjing, China, 210094 aluxin@mail.njust.edu.cn, bzhouyh@mail.njust.edu.cn, cyyg801@mail.njust.edu.cn Keywords: Two-stage light-gas launcher; Mathematical model; Numerical simulation; Launching performance Abstract.
The light-gas gun has proven to be a particularly versatile device in comparison with other launchers because it has the capability of launching models of complex shape having a wide range of weights, sizes, and materials.
Xu: The effects of Geometry and Loading Conditions on Launching Performance of Two-Stage Light-Gas Gun, Journal of Ballistics Vol. 17 (2005), p. 74 [4] C.

., A Model-Based Prognostics Approach to Pneumatic Valves, International Journal of Prognostics and Health Management, pp. 1-16, 2011
[4] Chaitanya S., Bharath P., Anuradha K., Krishna P., et.al, Model-based and Data-driven Prognostics of Automotive and Electronic Systems, 5th Annual IEEE Conference on Automation Science and Engineering, pp. 96-101, 2009
C., and Pecht M., Physics-of-Failure-Based Prognostics and Health Management for High-Power White Light-Emitting Diode Lighting, IEEE Transactions on Device and Materials Reliability, Vol. 11, pp. 407-416, 2011

A number of real materials, in which the modulated ordering is possible, have long risen beyond 100 [1].
Fleury, Phase Transitions, Critical Phenomena, and Instabilities, Science 211 (1981) 125-131
Ibaev, On Choosing the Order Parameter of Modulated Magnetic Structures, Journal of Experimental and Theoretical Physics 116 (2013) 266–271

Q=QAj/Riji=1n(QAj/Rij)QGi (3-1) From the OD flows, we know that: QAj=i=1n(Qij)，QGi=j=1n(Qij) (3-2) In this, Qij means the value of peak hour trip of traffic zone i to j in the forecast planning years; QAj means the peak hour attraction value of traffic zone j;QGi means the peak hour passenger flow occurs of traffic zone I; n means the number of traffic zone; Rij is the travel impedance, including the distance,the time spent and the cost of i and j. 2.2 The Forecast Mode of Every Transport Sharing Rate (1) The Improved Logit Model Based on the research materials about the impedance function of load which researched by the professor Wei Wang in early years[4].We improved the Logit model, synthesized the factor of minimum traffic impedance and random,to predict the free bus sharing rate.
Journal of Nan Jing Institute of Technology,1988 ,18(1):68-79
[6] Jinhua City Planning Design Institute.Comprehensive Traffic Ssurvey Of Jinhua (2011)[R].2011 [7] Yan Hou.The Influence of Own Concepts and Preferences to Transportation- Factor Analysis and Discrete Choice Model[D].Kunming University of Science and Technology,2010.