Original Articles

Calculation of Return Period for Storm Surge in the Pearl River Delta Region

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  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101,China;
    2. Graduate University of Chinese Academy of Sciences, Beijing100039, China

Received date: 2009-08-01

  Revised date: 2010-01-01

  Online published: 2010-04-24

Abstract

The Pearl River Delta Region is one of the few regions in our country which are seriously threatened by storm surges. Affected by global warming and sea-level rise, the return period for storm surge in this area is obviously changing. According to Gumbel and Pearson Ⅲ, the return periods of 11 tide stations for storm surge in the Pearl River Delta Region are calculated separately and the results are compared. Gumbel and Pearson Ⅲ distribution curves of extreme storm surge are mapped. The results show that the Gumbel distribution curves in most tide stations agree better with the experience frequency dots than Pearson Ⅲ distribution curves, but the Pearson Ⅲ distribution curves in the other tide stations agree better with the experience frequency dots than the Gumbel distribution curves. It is the best way to integrate Gumbel and Pearson Ⅲ methods. We analyze the basic characteristics of the return periods for storm surge in this area. Finally, we summarize the relationship between storm surges and the typhoon path, astronomical tide and the terrain. All the calculated results would be useful for the planning and design department to make decisions. This research would provide a scientific basis for the government for storm surge prediction, coastal engineering design and estimation of disaster demage.

Cite this article

LI Kuo,LI Guosheng . Calculation of Return Period for Storm Surge in the Pearl River Delta Region[J]. PROGRESS IN GEOGRAPHY, 2010 , 29(4) : 433 -438 . DOI: 10.11820/dlkxjz.2010.04.007

References


[1] 河海大学交通学院. 海洋学院海岸灾害及预报. 南京: 河海大学, 2003: 45-48.

[2] 沙文钮, 杨支中, 等. 风暴潮、浪数值预报. 北京: 海洋出版社, 2004: 28-34.

[3] 冯士筰. 风暴潮导论. 北京:科学出版社, 1982: 12-16.

[4] 杨华庭, 田素珍, 叶琳, 等. 中国海洋灾害四十年资料汇编. 北京: 海洋出版社, 1994: 1-7.

[5] 孙绍聘. 灾害评估研究内容与方法探讨.地理科学进展, 2001, 20(2): 122-130.

[6] 何洪钜. 台风风暴潮位频率计算的商讨.风暴潮, 1983, (1): 41-46.

[7] 王超. 随机组合概率分析方法及设计水位的推算.海洋学报, 1986, 8(3): 366-375.

[8] 赵庆良, 许世远, 王军, 等. 沿海城市风暴潮灾害风险评估研究进展.地理科学进展, 2007, 26(5): 32-40.

[9] 董胜, 刘德辅, 孔令双. 极值分布参数的非线性估计及其工程应用.海洋工程, 2000, 18(1): 50-55.

[10] 中华人民共和国行业标准. 海港水文规范(JTJ213-98).北京: 人民交通出版社, 2000: 6-9.

[11] 陆人骥. 中国历代灾害性海潮史料. 北京海洋出版社, 1984: 9-21.

[12] 张俊香, 李平日, 黄光庆, 等. 基于信息扩散理论的中国沿海特大台风暴潮灾害风险分析. 热带地理, 2007, 27(1): 11-14.

[13] 马进荣, 张金善, 宋志尧. 渤、黄、东海海域9711号风暴潮数值模拟.海洋通报, 2008, 27(6): 15-19.

[14] 唐巨山, 袁文喜, 曾甄. 海堤堤顶高程确定中若干问题的探讨. 水力发电, 2008, 34(2): 39-42.

[15] 董胜, 于亚群, 徐斌. 日照地区风暴潮增水重现值计算. 中国海洋大学学报, 2007, 35(4): 655-660.

[16] 张文婷, 张行南, 刘永志, 等. 基于GIS的风暴潮洪水风险分析系统研究. 水电能源科学, 2008, 26(2): 44-47.

[17] 尹宝树, 徐艳青, 任鲁川, 等. 黄河三角洲沿岸海浪风暴潮耦合作用漫堤风险评估研究. 海洋与湖沼, 2006, 37(5): 457-463.

[18] 叶涛, 郭卫平, 史培军. 1990年以来中国海洋灾害系统风险特征分析及其综合风险管理. 自然灾害学报, 2005, 14(6): 65-70.

[19] 程义吉, 刘广生. 黄河三角洲风暴潮灾害与防御措施. 中国水利, 2008(17): 40-42.

[20] 叶雯, 刘美南, 陈晓宏. 基于模式识别的台风风暴潮灾情等级评估模型研究. 海洋通报, 2004, 23(4): 66-70.

[21] 张俊香, 黄崇福, 刘旭拢. 广东沿海台风风暴潮灾害的地理分布特征和风险评估(1949-2005). 应用基础与工程科学学报, 2008, 16(3): 393-402.

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