Researching a Coupled Simulation Strategy of SVM-Based Storm Surge Prediction Model and GIS

Abstract:

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Aiming at the difficulties from adopting numerical calculation to solve storm surges at specific geographic, a coupling method of Support Vector Machine (SVM)-based storm surges prediction model and GIS was proposed in this paper. Utilized the powerful function provided by GIS including spatial analysis and data support, and rich graphic expression, combined with the advantages of model at the remarkable ability of numerical solution and analysis and forecasting, it can present spatial correlation and trends of spatial changes. The coupled result shows the spatial and temporal distribution chart of storm tide, which, to a certain degree, increased the analytical capabilities of MGIS and the ease of the model.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1126-1132

DOI:

10.4028/www.scientific.net/AMR.219-220.1126

Citation:

S. J. He et al., "Researching a Coupled Simulation Strategy of SVM-Based Storm Surge Prediction Model and GIS", Advanced Materials Research, Vols. 219-220, pp. 1126-1132, 2011

Online since:

March 2011

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Price:

$35.00

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