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Issue 4
Sep.  2015
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KANG Xing, ZHANG Bei, DU Pan-jun, XU Ting-ting, ZHANG Hui. Statistical forecasting of storm surge under single stationobservations in Zhoushan island terrain[J]. Journal of East China Normal University (Natural Sciences), 2015, (4): 26-33. doi: 10.3969/j.issn.1000-5641.2015.04.004
Citation: KANG Xing, ZHANG Bei, DU Pan-jun, XU Ting-ting, ZHANG Hui.
Statistical forecasting of storm surge under single stationobservations in Zhoushan island terrain[J]. Journal of East China Normal University (Natural Sciences), 2015, (4): 26-33. doi: 10.3969/j.issn.1000-5641.2015.04.004


Statistical forecasting of storm surge under single stationobservations in Zhoushan island terrain

doi: 10.3969/j.issn.1000-5641.2015.04.004
  • Received Date: 2014-03-28
  • Publish Date: 2015-07-25
  • According to Zhoushan tidal observations including Dinghai, Daishan, Shengshan, and CMA STI tropical cyclone best tracking data from 1982 to 2011, we found two kinds of typical typhoon path caused the heaviest and most frequently storm surge. One is landing in southern Zhejiang, and the other is northward moving and near shore turning.Based on the above two kinds of typhoon data, we analyzed the relationship between characteristics of the typhoon(such as strength, moving speed, distance factor etc.) and tide and the storm surge intensity and type.Using the multivariate nonlinear regression analysis, we choose the most relevant factors to create a statistical model for storm surge forecasting. It showed the good results through the actual cases appling such as matsa, muifa and tembin.
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  • [1]
    [1]王晶,鲁美,丁骏.浙江沿海台风风暴潮时空分布特征[J].海洋预报,2010,27(3):1622.

    [2]温克刚.中国气象灾害大典(浙江卷)[M].北京:气象出版社,2008:4344.

    [3]施雅风.我国海岸带灾害的加剧发展及其防御方略[J].自然灾害学报,1994,3(2):315.

    [4]杨桂山.中国沿海风暴潮灾害的历史变化及未来趋向[J].自然灾害学报,2000,9(3):2330.

    [5]季子修,施雅风.海平面上升、海岸带灾害与海岸防护问题[J].自然灾害学报,1996,5(2):5763.

    [6]张振克,丁海燕.近十年来中国大陆沿海地区重大海洋灾害分析[J].海洋地质动态,2004,20(7):2527.

    [7]高建华,朱晓东,余有胜,等.我国沿海地区台风灾害影响研究[J].灾害学,1999,14(2):7377.

    [8]冯士筰.风暴潮的研究进展[J].世界科技研究与发展,1998,20(4):4447.

    [9]秦增灏,冯士笮.浅海风暴潮动力机制的初步研究[J] .中国科学,1975,18(1): 6478.

    [10]国家海洋环境预报中心.风暴潮预报技术指南(征求意见稿)[R].北京:国家海洋环境预报中心,2009.

    [11]朱建荣,朱首贤.ECOM模式的改进及在长江河口、杭州湾及邻近海区的应用[J].海洋与湖沼,2003,34(3):364374.

    [12]YU F J,ZHANG Z H.Implementation and application of a nested numerical storm surge forecast model in the East China Sea[J].Acta Oceanologica Sinica,2002,21(1):1931.

    [13]端义宏,朱建荣,秦曾灏,等.一个高分辨率的长江口台风风暴潮数值预报模式及其应用[J].海洋学报,2005,27(3):1119.

    [14]吴少华,王喜年,尹庆江.台风风暴潮极值高潮位的统计预报[J].海洋预报,1994,11(2):6972.

    [15]项素清.舟山港台风风暴潮的分析及预报[J],气象,2004,30(3):3539.

    [16]许肩望,谭树东.风暴潮灾害经济损失评估方法研究[J].海洋通报,1998,17(1):112.

    [17]史键辉,王名文,王永信,等.风暴潮和风暴灾害分级问题的探讨[J].海洋预报,2000,17(2):1215.

    [18]郭洪寿.我国潮灾灾度评估初探[J].南京大学学报,1991(5):1822.

    [19]许映龙,韩桂荣,麻素红,等.1109 号超强台风“梅花”预报误差分析及思考[J].气象,2011,37(10):11961205.
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