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Abstract According to the green tide algae -Ulvaprolifera remote sensing data of the Southern Yellow Sea in 2012~2013, climate factors including temperature, weather, wind direction, wind force and wave height which effect theUlvaprolifera diffusion, the corresponding support vector regression model (SVR) was established. By analyzing the development of the disaster using the model’s weight change, the result of SVM was more accurately draw the right weight of each factor and weight conversion lawcompared with traditional single factor analysis method. Then through the analysis for the change rule of weight, give the division basis of the various stages of green tide.
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Received: 07 April 2015
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