Clustering Analysis Research of Sea Reclamation Scale

Hai Ying Mao; Cong Hu; Xiao Ming Hu

doi:10.4028/www.scientific.net/AMM.501-504.2142

Paper Titles

Explore the Influence of Bottom Friction Parameter and Wave Breaking Parameter on Wave Height and Wave Period by MIKE21 SW Module
p.2124

Research on Soft Soil Model and Subsidence Coefficient of Coastal Zone of Yingkou
p.2128

Instrumented Full Scale Test and Numerical Analysis to Investigate Performance of Bamboo Pile-Mattress System as Soil Reinforcement for Coastal Embankment on Soft Clay
p.2132

Research on Flood Integrated Risk Dynamic Management Framework for Coastal Cities
p.2138

Clustering Analysis Research of Sea Reclamation Scale
p.2142

Study on the Applications of Neural Networks for Processing Deformation Monitoring Data
p.2149

Geodetic Datum Transformation and Inverse Transformation
p.2154

Optimization of the Installation of an Earth-to-Air Heat Exchanger and Detailed Design of a Dedicated Experimental Set-Up
p.2158

Application of Artificial Neural Network in GPS Height Transformation
p.2162

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 501-504Clustering Analysis Research of Sea Reclamation...

Clustering Analysis Research of Sea Reclamation Scale

Abstract:

Choosing the development activity of sea reclamation in 11 coastal provinces, cities and autonomous regions of China, according to the characteristics of the scale of sea reclamation during 2002-2012, and using the statistical analysis software SPSS, this paper applies clustering analysis in classifying the development status of sea reclamation in the 11 coastal provinces and cities of China, concludes the growth characteristics of sea reclamation development activity, puts forward the constraining factors which prevent the scale of sea reclamation from growing and the management countermeasures for the development of future sea reclamation activity.

You might also be interested in these eBooks

Advances in Civil and Structural Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 501-504)

Pages:

2142-2145

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.501-504.2142

Citation:

Cite this paper

Online since:

January 2014

Authors:

Hai Ying Mao*, Cong Hu, Xiao Ming Hu

Keywords:

Clustering, Management Countermeasures, Sea Reclamation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Nijkamp, P., Yim, H., 2001. Critical success factors for offshore airports-acomparative evaluation. J. Air Transp. Manage. 7, 181–188.

DOI: 10.1016/s0969-6997(01)00003-5

Google Scholar

[2] Kleija, C.S., Hulschera, S.J.M.H., Loutersb, T., 2003. Comparing uncertain alternatives for a possible airport island location in the North Sea. Ocean Coast. Manag. 46, 1031–1047.

DOI: 10.1016/j.ocecoaman.2003.09.001

Google Scholar

[3] Yuanbin Fu, Ke Cao, Fei Wang. Reclamation evaluation and potential quantitative method for strength. Ocean development and management. 2010, 27(1), 27-30.

Google Scholar

[4] Anning Suo, Yonghai Hai, Jianhua Zhao. Prediction method of Sea Reclamation Scale. Ocean development and management. 2012(7), 17-21.

Google Scholar