CAJ | 학술논문

钱塘江大潮在每年吸引大量游人的同时也频发安全事故。为提高潮涌预报水平，基于传统预报算法，提出一种基于涌潮动态监测的钱塘江潮涌分段实时预报算法。该算法具有自学习、自适应功能，可通过下游监测信息来预测涌潮达到上游站点的时间。实验结果表明，该算法对涌潮到达时间的预报精度达到分钟级水平。
전당강대조재매년흡인대량유인적동시야빈발안전사고。위제고조용예보수평，기우전통예보산법，제출일충기우용조동태감측적전당강조용분단실시예보산법。해산법구유자학습、자괄응공능，가통과하유감측신식래예측용조체도상유참점적시간。실험결과표명，해산법대용조도체시간적예보정도체도분종급수평。
A lot of visitors are attracted by QianTang River tide every year ,but it also leads to dangerous accidents .In order to improve the level of real-time detecting and forecasting of tide bore ,we proposed a real-time prediction algorithm that is based on water level data and black -box modeling theory .The algorithm owns self -learning and self -adaptive function and can forecast arriving upstream time of tidal bore by real-time data of downstream water level .In a result ,the algorithm has a higher precision of forecasting arriving time of tidal bore and reaches the level of minutes .