京津冀地区台风危险性评估——基于Gumbel分布的分析

doi:10.18306/dlkxjz.2018.07.007

地理科学进展 ›› 2018, Vol. 37 ›› Issue (7): 933-945.doi: 10.18306/dlkxjz.2018.07.007

京津冀地区台风危险性评估——基于Gumbel分布的分析

李倩^1,³(), 俞海洋⁴, 李婷⁴, 龙爽^1,³, 邵威³, 王瑛^1,^2,³, 许映军^1,^2,^3,^*()

1. 环境演变与自然灾害教育部重点实验室,北京 100875
2. 地表过程与资源生态国家重点实验室,北京 100875
3. 北京师范大学地理科学学部,北京 100875
4. 河北省气象灾害防御中心,石家庄 050021

收稿日期:2017-09-04 修回日期:2018-02-10 出版日期:2018-07-28 发布日期:2018-07-28
通讯作者: 许映军
作者简介:
作者简介：李倩(1992-),女,河北保定人,博士研究生,主要从事海岸带灾害与资源研究,E-mail: liqian@mail.bnu.edu.cn。
基金资助:
国家重点研发计划支持项目(2017YFC1502505,2017YFA0604903);河北省气象与生态环境重点实验室开放基金项目(Z201603H)

Hazard assessment of typhoons affecting the Beijing-Tianjin-Hebei region based on Gumbel distribution

Qian LI^1,³(), Haiyang YU⁴, Ting LI⁴, Shuang LONG^1,³, Wei SHAO³, Ying WANG^1,^2,³, Yingjun XU^1,^2,^3,^*()

1. Key Laboratory of Environment Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China
2. State Key Laboratory of Earth Surface Processes and Resources Ecology, Beijing Normal University, Beijing 100875, China
3. Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
4. Hebei Meteorological Disaster Prevention Center, Shijiazhuang 050021, China

Received:2017-09-04 Revised:2018-02-10 Online:2018-07-28 Published:2018-07-28
Contact: Yingjun XU
Supported by:
National Key Research and Development Program of China, No.2017YFC1502505, No.2017YFA0604903;Key Laboratory of Meteorology and Ecological Environment of Hebei Province, No.Z201603H

摘要/Abstract

摘要：

台风引发的连续暴雨是京津冀地区主要的气象灾害之一,开展台风危险性评估,旨在识别台风灾害高危险区,为京津冀地区台风灾害防灾减灾能力提升和风险管理提供参考。根据1974-2015年间影响京津冀地区的台风资料,选取该地区148个国家气象站点的气象数据,包括最大日降水量、累积降水量及最大风速3个指标。借助Gumbel分布,求出各气象站点5 a、10 a、30 a及50 a一遇水平下的气象指标数值,利用ArcGIS空间插值表征其空间分布,据此评估京津冀地区台风危险性。结果表明,50 a一遇下台风灾害最大日降水最大值为190.62 mm,累积降水量最大值为253.04 mm,最大风速最大值为16.81 m/s。其中北京东南部、天津北部、河北省东南沿海地区和太行山一带的石家庄、邢台、邯郸等地区为高危险区。

关键词: 台风, 危险性评估, 致灾因子, 京津冀

Abstract:

Continuous rainstorm caused by typhoons is one of the major meteorological disasters in the Beijing-Tianjin-Hebei region. This study focused on the hazard assessment of typhoons, identified the high hazard areas,and provided references for the disaster prevention and mitigation capabilities of typhoons in the Beijing-Tianjin-Hebei region. Based on the typhoons that affected the Beijing-Tianjin-Hebei region from 1974 to 2015, spatial variations of precipitation and wind speed are examined using 42 years of data from 148 meteorological stations, and the spatial distribution patterns are depicted by ArcGIS. Gumbel distribution is used to calculate the values of meteorological parameters at the stations under different return periods (RP 5 a, 10 a, 30 a, 50 a). The results show that the maximum daily precipitation is 190.62 mm, the maximum cumulative precipitation is 253.04 mm, and the maximum wind speed is 16.81 m/s (RP=50 a). Southeastern Beijing, northern Tianjin, southeastern coast of Hebei Province, and the Taihang Mountains are the high hazard areas.

Key words: typhoon, hazard assessment, hazard, Beijing-Tianjin-Hebei region

李倩, 俞海洋, 李婷, 龙爽, 邵威, 王瑛, 许映军. 京津冀地区台风危险性评估——基于Gumbel分布的分析[J]. 地理科学进展, 2018, 37(7): 933-945.

Qian LI, Haiyang YU, Ting LI, Shuang LONG, Wei SHAO, Ying WANG, Yingjun XU. Hazard assessment of typhoons affecting the Beijing-Tianjin-Hebei region based on Gumbel distribution[J]. PROGRESS IN GEOGRAPHY, 2018, 37(7): 933-945.

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参考文献 43

[1]	埃尔斯本里, 弗兰克, 霍兰, 等. 1994. 热带气旋全球观[M]. 陈联寿, 董克勤, 金汉良, 等译. 北京: 气象出版社.
	[Elsberry R L, Frank W M, Holland G J, et al.1994. Global view of tropical cyclones[M]. Chen L S, Dong K Q, Jin H L, et al. Trans. Beijing, China: China Meteorological Press.]
[2]	陈佩燕, 杨玉华, 雷小途, 等. 2009. 我国台风灾害成因分析及灾情预估[J]. 自然灾害学报, 18(1): 64-73. doi: 10.3969/j.issn.1004-4574.2009.01.010
	[Chen P Y, Yang Y H, Lei X T, et al.2009. Cause analysis and preliminary hazard estimate of typhoon disaster in China[J]. Journal of Natural Disasters, 18(1): 64-73.] doi: 10.3969/j.issn.1004-4574.2009.01.010
[3]	陈文方, 方建, 徐伟, 等. 2012. 长三角地区台风危险性定量分析[J]. 自然灾害学报, 21(1): 1-8.
	[Chen W F, Fang J, Xu W, et al.2012. Quantitative analysis of typhoon hazard in the Yangtze River Delta region[J]. Journal of Natural Disasters, 21(1): 1-8.]
[4]	陈文方, 徐伟, 史培军. 2011. 长三角地区台风灾害风险评估[J]. 自然灾害学报, 20(4): 77-83.
	[Chen W F, Xu W, Shi P J.2011. Risk assessment of typhoon disaster at county level in the Yangtze River Delta of China[J]. Journal of Natural Disasters, 20(4): 77-83.]
[5]	程正泉, 陈联寿, 徐祥德, 等. 2005. 近10年中国台风暴雨研究进展[J]. 气象, 31(12): 3-9.
	[Cheng Z Q, Chen L S, Xu X D, et al.2005. Research progression typhoon heavy rainfall in China for last ten years[J]. Meteorological Monthly, 31(12): 3-9.]
[6]	丛春华, 陈联寿, 雷小途, 等. 2011. 台风远距离暴雨的研究进展[J]. 热带气象学报, 27(2): 264-270. doi: 10.3969/j.issn.1004-4965.2011.02.016
	[Cong C H, Chen L S, Lei X T, et al.2011. An overview on the study of tropical cyclone remote rainfall[J]. Journal of Tropical Meteorology, 27(2): 264-270.] doi: 10.3969/j.issn.1004-4965.2011.02.016
[7]	丛春华, 陈联寿, 雷小途, 等. 2012. 热带气旋远距离暴雨的研究[J]. 气象学报, 70(4): 717-727.
	[Cong C H, Chen L S, Lei X T, et al.2012. A study on the mechanism of the tropical cyclone remote precipitation[J]. Acta Meteorologica Sinica, 70(4): 717-727.]
[8]	丁德平, 李英. 2009. 北京地区的台风降水特征研究[J]. 气象学报, 67(5): 864-874. doi: 10.3321/j.issn:0577-6619.2009.05.017
	[Ding D P, Li Y.2009. A study on rainfall features of Beijing associated with typhoons[J]. Acta Meteorologica Sinica, 67(5): 864-874.] doi: 10.3321/j.issn:0577-6619.2009.05.017
[9]	方伟华, 王静爱, 史培军. 2011. 综合风险防范:数据库、风险地图与网络平台[M]. 北京: 科学出版社.
	[Fang W H, Wang J A, Shi P J.2011. Integrated risk governance: Data base, risk map and network platform[M]. Beijing, China: Science Press.]
[10]	高建华, 朱晓东, 余有胜, 等. 1999. 我国沿海地区台风灾害影响研究[J]. 灾害学, (2): 74-78.
	[Gao J H, Zhu X D, Yu Y S, et al.1999. Study of the impact of typhoon disaster on coastal region of China[J]. Journal of Catastrophology, (2): 74-78.]
[11]	韩晖. 2005. 近50年中国台风暴雨研究[D]. 北京: 北京师范大学.
	[Han H.2005. A study on typhoon torrential rain over China during the last about 50 years[D]. Beijing, China: Beijing Normal University.]
[12]	何丽华, 孔凡超, 李江波, 等. 2007. 影响河北两次相似路径台风的湿位涡对比分析[J]. 气象, 33(4): 65-70.
	[He L H, Kong F C, Li J B, et al.2007. Analysis of wet potential vorticity of two similar typhoons affecting Hebei Province[J]. Meteorological Monthly, 33(4): 65-70.]
[13]	建军, 余锦华. 2006. 登陆我国台风与华北夏季降水的相关[J]. 南京气象学院学报, 29(6): 819-826. doi: 10.3969/j.issn.1674-7097.2006.06.014
	[Jian J, Yu J H.2006. Relationship between land falling typhoons and summer precipitation over North China[J]. Journal of Nanjing Institute of Meteorology, 29(6): 819-826.] doi: 10.3969/j.issn.1674-7097.2006.06.014
[14]	江吉喜, 项续康. 1997. “96·8”河北特大暴雨成因初探[J]. 气象, 23(7): 19-23.
	[Jiang J X, Xiang X K.1997. A primary study of the extreme rainfall event in early august 1996 over Hebei Province[J]. Meteorological Monthly, 23(7): 19-23.]
[15]	井喜, 贺文彬, 毕旭, 等. 2005. 远距离台风影响陕北突发性暴雨成因分析[J]. 应用气象学报, 16(5): 655-662. doi: 10.11898/1001-7313.20050512
	[Jing X, He W B, Bi X, et al.2005. Analysis of the abrupt rainstorm in north Shaanxi in relation to typhoon far away[J]. Journal of Applied Meteorological Science, 16(5): 655-662.] doi: 10.11898/1001-7313.20050512
[16]	景华, 李云川. 2005. 经渤海影响河北的4个台风低压的对比分析[C]//中国气象学会2005年年会论文集. 中国气象学会: 4.
	[Jing H, Li Y C.2005. Low pressure comparison of four typhoons affecting Hebei Province from Bohai[C]//Zhongguo Qixiang Xuehui 2005 nian nianhui lunwenji. Chinese Meteorological Society: 4.]
[17]	李江南, 王安宇, 杨兆礼, 等. 2003. 台风暴雨的研究进展[J]. 热带气象学报, (S1): 152-159. doi: 10.3969/j.issn.1004-4965.2003.z1.017
	[Li J N, Wang A Y, Yang Z L, et al.2003. Advancement in the study of typhoon rainstorm[J]. Journal of Tropical Meteorology, (S1): 152-159.] doi: 10.3969/j.issn.1004-4965.2003.z1.017
[18]	李颖, 方伟华. 2013. 热带气旋降水模拟研究进展[J]. 地理科学进展, 32(4): 606-617.
	[Li Y, Fang W H.2013. Review on modeling of tropical cyclone rainfall[J]. Progress in Geography, 32(4), 606-617.]
[19]	任福民, Byron Gleason, David Easterling.2001. 一种识别热带气旋降水的数值方法[J]. 热带气象学报, 17(3): 308-313. doi: 10.3969/j.issn.1004-4965.2001.03.015
	[Ren F M, Byron G, David E.2001. A numerical technique for partitioning cyclone tropical precipitation[J]. Journal of Tropical Meteorology, 17(3): 308-313.] doi: 10.3969/j.issn.1004-4965.2001.03.015
[20]	任振球. 1997. “96.8”河北南部罕见特大暴雨的预测检验和成因分析[J]. 气象, 23(10): 21-26.
	[Ren Z Q.1997. Check of the forecast of a rare rainstorm in south area of Hebei Province in 1996[J]. Meteorological Monthly, 23(10): 21-26.]
[21]	单磊, 谭桂容, 姚叶青, 等. 2014. 一次台风远距离暴雨水汽条件及输送过程研究[J]. 热带气象学报, 30(2): 353-360.
	[Shan L, Tan G R, Yao Y Q, et al.2014. On the water vapor condition and moisture transport for a rain caused by a remote tropical cyclone[J]. Journal of Tropical Meteorology, 30(2): 353-360.]
[22]	史得道, 易笑园, 孙密娜, 等. 2016. 影响天津地区两次北上热带气旋过程对比分析[J]. 气象与环境学报, 32(3): 19-27. doi: 10.3969/j.issn.1673-503X.2016.03.003
	[Shi D D, Yi X Y, Sun M N, et al.2016. Comparative analysis of two northward motion tropical cyclones affecting Tianjin[J]. Journal of Meteorology and Environment, 32(3): 19-27.] doi: 10.3969/j.issn.1673-503X.2016.03.003
[23]	史培军. 1991. 灾害研究的理论与实践[J] .南京大学学报: 自然科学版, 27(11): 37-42.
	[Shi P J.1991. On the theory of disaster research and its practice[J]. Journal of Nanjing University: Natural Science, 27(11): 37-42.]
[24]	孙建华, 齐琳琳, 赵思雄. 2006. “9608”号台风登陆北上引发北方特大暴雨的中尺度对流系统研究[J]. 气象学报, 64(1): 57-71. doi: 10.3321/j.issn:0577-6619.2006.01.006
	[Sun J H, Qi L L, Zhao S X.2006. A study on the mesoscale convective systems of the severe heavy rainfall in north China by "9608" typhoon[J]. Acta Meteorologica Sinica, 64(1): 57-71.] doi: 10.3321/j.issn:0577-6619.2006.01.006
[25]	孙霞, 陈小雷, 俞海洋, 等. 2016. 河北省大风灾害及其危险性区划分析[J]. 中国农学通报, 32(1): 183-187. doi: 10.11924/j.issn.1000-6850.casb15070071
	[Sun X, Chen X L, Yu H Y, et al.2016. Analysis of wind disaster and its hazard regionalization in Hebei Province[J]. Chinese Agricultural Science Bulletin, 32(1): 183-187.] doi: 10.11924/j.issn.1000-6850.casb15070071
[26]	王靖, 张金锁. 2001. 综合评价中确定权重向量的几种方法比较[J]. 河北工业大学学报. 30(2): 52-57.
	[Wang J, Zhang J S.2001. Comparing several methods of assuring weight vector in synthetical evaluation[J]. Journal of Hebei University of Technology, 30(2): 52-57.]
[27]	王静爱, 史培军, 王瑛, 等. 2003. 基于灾害系统论的《中国自然灾害系统地图集》编制[J]. 自然灾害学报, 12(4): 1-8. doi: 10.3969/j.issn.1004-4574.2003.04.001
	[Wang J A, Shi P J, Wang Y, et al.2003. Compilation of “Atlas of Natural Disaster System of China” based on the disaster system theory[J]. Journal of Natural Disasters, 12(4): 1-8.] doi: 10.3969/j.issn.1004-4574.2003.04.001
[28]	王新敏, 赵培娟, 李保生, 等. 2002. 影响河南的登陆台风分析[J]. 河南气象, (2): 14-16. doi: 10.3969/j.issn.1673-7148.2002.02.007
	[Wang X M, Zhao P J, Li B S, et al.2002. Analysis on the landing typhoon of effecting Henan[J]. Meteorology Journal of Henan, (2): 14-16.] doi: 10.3969/j.issn.1673-7148.2002.02.007
[29]	武麦凤, 肖湘卉, 曹玲玲, 等. 2013. 两次台风远距离暴雨过程的对比分析[J]. 暴雨灾害, 32(1): 32-37. doi: 10.3969/j.issn.1004-9045.2013.01.005
	[Wu M F, Xiao X H, Cao L L, et al.2013. Comparative analysis on two rainstorm processes affected by distant typhoon[J]. Torrential Rain and Disasters, 32(1): 32-37.] doi: 10.3969/j.issn.1004-9045.2013.01.005
[30]	徐国强, 胡欣, 苏华. 1999. 太行山地形对“96.8“暴雨影响的数值试验研究[J]. 气象, 25(7): 3-7. doi: 10.7519/j.issn.1000-0526.1999.7.001
	[Xu G Q, Hu X, Su H.1999. Simulation study of Taihang Mountain terrain effects on heavy rain in august 1996[J]. Meteorological Monthly, 25(7): 3-7.] doi: 10.7519/j.issn.1000-0526.1999.7.001
[31]	徐洪雄, 徐祥德, 张胜军, 等. 2014. 台风韦森特对季风水汽流的“转运”效应及其对北京“7·21”暴雨的影响[J]. 大气科学, 38(3): 537-550. doi: 10.3878/j.issn.1006-9895.2013.13173
	[Xu H X, Xu X D, Zhang S J, et al.2014. Long-range moisture alteration of a typhoon and its impact on Beijing extreme rainfall[J]. Chinese Journal of Atmospheric Sciences, 38(3): 537-550.] doi: 10.3878/j.issn.1006-9895.2013.13173
[32]	闫冠华. 2013. 太行山脉对华北暴雨影响的研究[D]. 南京: 南京信息工程大学.
	[Yan G H.2013. Study on the impact of Taihang Mountains on torrential rains in north China[D]. Nanjing, China: Nanjing University of Information Science & Technology.]
[33]	杨玉华, 雷小途. 2004. 我国登陆台风引起的大风分布特征的初步分析[J]. 热带气象学报, 20(6): 633-642.
	[Yang Y H, Lei X T.2004. Statistics of strong wind distribution caused by landfall typhoon in China[J]. Journal of Tropical Meteorology, 20(6): 633-642.]
[34]	殷洁, 戴尔阜, 吴绍洪. 2013. 中国台风灾害综合风险评估与区划[J]. 地理科学, 33(11): 1370-1376.
	[Yin J, Dai E F, Wu S H.Integrated risk assessment and zoning of typhoon disasters in China[J]. Scientia Geographica Sinica, 33(11): 1370-1376.]
[35]	俞海洋, 李婷, 陈笑娟, 等. 2017. 河北省近30年大风时空分布及成灾特征分析[J]. 灾害学, 32(2): 59-63.
	[Yu H Y, Li T, Chen X J, et al.2017. The spatio-temporal distribution and disaster characteristics analysis of the gale in Hebei Province for nearly 30 years[J]. Journal of Catastrophology, 32(2):59-63.]
[36]	张国华, 傅昺珊, 张延宾, 等. 2008. “碧利斯”(Bilis)台风远距离影响河北的数值预报检验[J]. 气象科学, 28(S1): 21-25. doi: 10.3969/j.issn.1009-0827.2008.z1.004
	[Zhang G H, Fu B S, Zhang Y B, et al.2008. The validation of the numerical forecast for the remote typhoon (Bilis) effect on Hebei[J]. Journal of the Meteorological Sciences, 28(S1): 21-25.] doi: 10.3969/j.issn.1009-0827.2008.z1.004
[37]	赵宇, 崔晓鹏, 王建国. 2008. 由台风低压倒槽引发的山东暴雨过程研究[J]. 气象学报, 66(3): 423-436. doi: 10.3321/j.issn:0577-6619.2008.03.012
	[Zhao Y, Cui X P, Wang J G.2008. A study on a heavy rainfall event triggered by inverted typhoon trough in Shandong Province[J]. Acta Meteorologica Sinica, 66(3): 423-436.] doi: 10.3321/j.issn:0577-6619.2008.03.012
[38]	Goldenberg S B, Landsea C W, Mestas-Nunez A M, et al.2001. The recent increase in Atlantic hurricane activity: Causes and implications[J]. Science, 293: 474-479. doi: 10.1126/science.1060040
[39]	Kunkel K E, Easterling D R, Kristovich D A R, et al.2010. Recent increases in U.S. heavy precipitation associated with tropical cyclones[J]. Geophysical Research Letters, 37(24): 701-719. doi: 10.1029/2010GL045164
[40]	Lin N, Emanuel K A, Smith J A, et al.2010. Risk assessment of hurricane storm surge for New York City[J]. Journal of Geophysical Research, 115(D18): 311-319. doi: 10.1029/2009JD013630
[41]	Malmstadt J C, Elsner J B, Jagger T H.2010. Risk of strong hurricane winds to Florida cities[J]. J.appl.meteor.climatol, 49(10): 2121-2132. doi: 10.1175/2010JAMC2420.1
[42]	Ying M, Zhang W, Yu H, et al.2014. An overview of the China meteorological administration tropical cyclone database[J]. Journal of Atmospheric & Oceanic Technology, 31(2): 287-301. doi: 10.1175/JTECH-D-12-00119.1
[43]	Zhu L, Quiring S M.2013. Variations in tropical cyclone precipitation in Texas (1950 to 2009)[J]. Journal of Geophysical Research: Atmospheres, 118(8): 3085-3096. doi: 10.1029/2012JD018554

京津冀地区台风危险性评估——基于Gumbel分布的分析

Hazard assessment of typhoons affecting the Beijing-Tianjin-Hebei region based on Gumbel distribution

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