優化Kmeans算法在中國近海氣候區劃中的應用
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Application of Optimized Kmeans Clustering Algorithm in China Offshore Climate Regionalization
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    摘要:

    利用我國近海多年的風、浪及溫濕資料,采用DB指標和最大距離法相結合的優化Kmeans聚類算法,對冬季我國近海進行氣候區劃,避免了傳統Kmeans算法中確定聚類數目和初始聚類中心的主觀性。結果表明,冬季我國近海可被劃分為3個區域:1區主要包括28°N以北的海域以及我國東南沿海的一條狹長區域,2區主要包括臺灣周邊海域、臺灣海峽、巴士海峽以及自越南東南部起由西南部向東北部的南海大部分海域,3區則主要包括臺灣島西南部海域、北部灣、廣東沿海以及南海東南部。根據給出的區劃指標,分析各分區的氣候特征及其對海上艦船航行和出海人員的影響,判定1區為基本適宜區,2區為不適宜區,3區為適宜區。

    Abstract:

    Based on wind, wave height, temperature and humidity data, the optimized Kmeans algorithm which combines DB criterion and the method of maximum distance is used in China’s offshore climate regionalization in winterThe optimized algorithm avoids the drawbacks of subjectivity of determining cluster number and initial cluster centers in the traditional Kmeans algorithmThe results show that three regions are obtained: Region 1 mainly includes the sea area north of 28°N and the long narrow area in the southeast coastal of China; Region 2 mainly includes the circumjacent seas of the Taiwan Island, Taiwan Strait, Bashi Channel and most of the South China Sea from the southwest to the northeast; Region 3 mainly includes the sea area in the southwest of the Taiwan Island, Beibu Gulf, coastal areas of Guangdong Province and the southeast of the South China Sea By analyzing the climate characteristics of each region and their influences on ships and people on the seas, according to the regionalization criteria, we conclude that Region 1 is basically suitable for sailing, Region 2 is not suitable, and Region 3 is suitable

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張慧,翟宇梅.優化Kmeans算法在中國近海氣候區劃中的應用[J].氣象科技,2017,45(4):750~755

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歷史
  • 收稿日期:2016-02-01
  • 定稿日期:2017-04-10
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  • 在線發布日期: 2017-08-30
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