Bulletin of Surveying and Mapping ›› 2022, Vol. 0 ›› Issue (7): 7-11.doi: 10.13474/j.cnki.11-2246.2022.0195

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Prediction of the outbreak scale of Enteromorpha prolifera in the Yellow Sea based on historical data

LIU Lu, LUO Nianxue, ZHAO Qiansheng   

  1. School of Geodsy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2021-10-15 Revised:2022-05-21 Published:2022-07-28

Abstract: According to the historical data of initial coverage area and the maximum coverage area of Enteromorpha prolifera in yellow Sea, we selected the precipitation, temperature, light intensity, the three most important influence factors for the growth and diffusion of Enteromorpha prolifera, proposed and established a modle which base on BP neural network to determine the conversion coefficient R to prediction Enteromorpha prolifera coverage. It can realize the simulation and prediction of the maximum coverage area of Enteromorpha prolifera in this year at the early stage. By using historical data to validate, the results showed that the prediction of Enteromorpha prolifera maximum outbreak scale was consistent with the real situation. The results of this study can provide some references for the emergency preparation of Enteromorpha prolifera for more time.

Key words: Enteromorpha prolifera, environmental factors, BP neural network, coverage area, outbreak scale, area prediction

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