Taking the equal interval sample sequence of Noctiluca scienlillans in Dapeng Bay in spring as a stochastic process variable, the clustering Stochastic Point Process model for the risk of exceeding the threshold of Noctiluca scientillans was developed on the basis of the theory of stochastic process. A goodness of fit test was made after a stochastic process analysis and results estimate for the risk rate of Noctiluca scientillans red tide. It has a significance in predicting the occurring of the Noctiluca scientillans red tide.
李秋华, 黄伟建*, 骆育敏. 大鹏湾夜光藻赤潮发生风险率的随机过程分析[J]. , 2003, 22(3): 242-244.
LI Qiu-hua, HUANG Wei-jian, LUO Yu-min. A Stochastic Process Analysis for the Risk Rate of Noctlluca scientttlans Red Tide in Dapeng Bay. , 2003, 22(3): 242-244.
[7] 黄伟建,齐雨藻,韩博平,等.1999.Analysis ofgrey modelbetween seawater environmental factors and growth ofphytoplankton in the Dapeng Bay,South China Sea[J].海洋学报(英文版),18(1):103-108.
