The distribution of peak wind speeds induced by typhoons along the coasts of the Changjiang Estuary and Hangzhou Bay

doi:10.3969/j.issn.1000-5641.2021.02.001

Abstract

Abstract:

In this study, four typical typhoons that significantly affected Shanghai were selected based on their respective intensity and the water level along the Shanghai Coast. The RMW (Radius of Maximum Winds) formula, moreover, was determined using in-situ data from recent typhoons. The typhoon model was built and validated using in-situ wind speeds from the four typhoons selected. The peak wind speed and the forward peak wind speed along the Shanghai Coast were calculated, case by case, during all typhoons over the period from 1949 to 2014 as well as the four typical typhoons selected. Finally, the range and distribution of the peak (forward peak) wind speed were quantitatively studied.

Key words: Shanghai Coast, typhoon, peak wind speed

CLC Number:

P732.1

Lu LI, Xiaotao DU. The distribution of peak wind speeds induced by typhoons along the coasts of the Changjiang Estuary and Hangzhou Bay[J]. Journal of East China Normal University(Natural Science), 2021, 2021(2): 1-11.

Figures/Tables 9

Fig.1

Table 1

Table 2

Fig.2

Fig.3

Table 3

The peak wind speed (m·s–1) and the forward peak wind speed (m·s–1) as well as the corresponding typhoon numbering along the Shanghai Coast during all typhoons over the period from 1949 to 2014 as well as the four typical typhoons selected"

序号	区域	全路径全风向		全路径正向		4路径全风向		4路径正向
序号	区域	极值风速	台风名称	有效极值风速	台风名称	极值风速	台风名称	有效极值风速	台风名称
1	宝山	35.94	4906	32.83	4906	21.14	0515	15.35	0012
2	宝山	36.80	4906	31.75	4906	20.69	0515	15.85	0012
3	浦东	37.31	4906	30.30	4906	21.04	8114	16.34	0012
4		37.69	4906	31.34	4906	21.98	8114	16.84	0012
5		37.99	4906	29.37	4906	22.80	8114	17.33	0012
6		38.82	4906	30.99	4906	23.74	8114	17.98	0012
7		39.41	4906	29.45	4906	24.80	8114	18.71	0012
8		40.40	4906	31.42	4906	26.11	8114	19.58	0012
9		41.80	5901	30.69	4906	27.60	8114	20.73	0012
10		42.79	4906	39.65	5901	27.44	8114	17.58	0515
11	奉贤	42.72	4906	37.83	4906	26.12	8114	18.38	0515
12		41.93	4906	36.44	4906	24.82	8114	19.25	0515
13		41.01	4906	31.94	5901	23.66	8114	22.77	0515
14		40.09	4906	30.05	5901	23.81	0515	23.81	0515
15	金山	39.10	4906	26.39	9015	25.08	0515	25.08	0515
16		38.15	4906	27.89	5612	26.40	0515	26.40	0515
17		37.45	4906	29.15	5612	27.41	0515	27.41	0515
18	崇明东滩	37.72	7708	33.94	5901	24.37	0012	16.94	0515
19	崇明北沿	38.14	7708	32.40	8509	23.98	0012	21.11	8114
20		36.40	7708	31.69	8509	22.64	0012	19.36	8114
21		35.13	7708	30.11	8509	21.66	0012	17.93	8114
22		34.16	7708	30.49	8509	20.87	0012	17.14	8114
23		32.73	7708	29.57	8913	19.89	0012	15.89	8114
24		31.44	4906	29.28	8913	19.73	0515	14.81	0012
25	崇西	31.27	4906	26.80	8406	20.89	0515	17.90	0012
26	崇明南沿	32.54	4906	28.65	8506	21.58	0515	14.47	0515
27		33.97	4906	28.83	8506	20.97	0515	13.72	0515
28		34.91	4906	29.98	8506	20.20	0515	12.60	0515
29		35.39	4906	30.19	8506	20.71	0012	12.10	0515
30		35.20	4906	32.28	5901	21.83	0012	11.64	0515
31		36.59	7708	35.92	5901	23.23	0012	11.09	0515
32	长兴东南	37.65	5901	32.15	4906	23.40	8114	16.92	0515
33	长兴北沿	36.43	4906	28.69	8913	22.52	8114	18.24	0012
34	长兴南沿	36.86	4906	34.53	5901	21.62	8114	11.41	0515
35	横沙北沿	39.10	5901	29.46	8913	24.76	8114	20.63	8114
36	横沙南沿	38.25	5901	31.27	4906	24.40	8114	16.32	0515

Table 3

Fig.4

Fig.5

Fig.6

References 10

1	上海市水利工程设计研究院有限公司. 上海市海塘安全评估与检测关键技术开发与应用 [R]. 上海: 上海市水利工程设计研究院有限公司, 2018.
2	YING M, ZHANG W, YU H, et al. An overview of the China Meteorological Administration tropical cyclone database. Journal of Atmospheric and Oceanic Technology, 2014, 31, 287- 301. doi: 10.1175/JTECH-D-12-00119.1
3	GRAHAM H E, NUNN D E. Meteorological considerations pertinent to the standard project hurricane, Atlantic and Gulf coasts of the United States [R]. Washington DC: U.S. Dept of Commerce, 1959.
4	SCHWERDT R W, HO F P, WATKINS R R. Meteorological criteria for standard project hurricane and probable maximum hurricane windfields, gulf and east coasts of the United States [R]. Washington DC: NOAA, 1979.
5	WILLOUGHBY H E, RAHN M E. Parametric representation of the primary hurricane vortex Part I: Observations and evaluation of the Holland (1980) Model. Monthly Weather Review, 2004, 132, 3033- 3048. doi: 10.1175/MWR2831.1
6	FUJITA T. Pressure distribution in typhoon. Geophysical Magazine, 1952, 23, 437- 452.
7	TAKAHASHI K. Distribution of pressure and wind in a typhoon. Journal of the Meteorological Society of Japan, 1939, 17, 417- 421.
8	JELESNIANSKI C P. Numerical computations of storm surges without bottom stress. Monthly Weather Review, 1966, 94 (6): 379- 394. doi: 10.1175/1520-0493(1966)094<0379:NCOSSW>2.3.CO;2
9	PHADKE A C, MARTINO C D, CHEUNG K F, et al. Modeling of tropical cyclone winds and waves for emergency management. Ocean Engineering, 2003, 30, 553- 578. doi: 10.1016/S0029-8018(02)00033-1
10	UENO T. Numerical computations of storm surges in Tosa Bay. Journal of Oceanographical Society of Japan, 1981, 37, 61- 73. doi: 10.1007/BF02072559

台风	类型	时间	气压/(hPa)	风速/(m·s^–1)
4906号	登陆(浙江舟山)	7月24日(农历六月廿九, 中潮)	968	40
5612号	登陆(浙江象山)	8月2日(农历六月廿六, 小潮)	923	60
8114号	近海北上	9月1日(农历八月初四, 大—中潮)	955	40
9711号	登陆(浙江温岭)	8月18日(农历七月十六, 大潮)	955	40
0012号	近海北上	8月30日(农历八月初二, 大潮)	965	35
0509号	登陆(浙江玉环)	8月6日(农历七月初二, 大潮)	950	45
0515号	登陆(浙江台州)	9月11日(农历八月初八, 小潮)	945	50
1211号	登陆(浙江象山)	8月8日(农历六月廿一, 中—小潮)	965	42
1323号	登陆(福建福鼎)	10月7日(农历九月初三, 大潮)	965	45

台风	金山嘴	芦潮港	吴淞	黄浦公园	米市渡
4906号			5.18	4.77
5612号				4.08
8114号	5.59	4.85	5.74	5.22	3.70
9711号	6.57*	5.68*	5.99*	5.72*	4.27
0012号	5.54	5.22	5.87	5.70	4.15
0509号	5.69	4.83	5.04	4.94	4.38
0515号	3.91	4.02	3.51	3.47	3.44
1211号	5.71	4.81	4.52	4.48	4.05
1323号	5.57	4.99	5.15	5.17	4.61*

[1]	GAO Qin-qin， ZHU Jian-rong， DUAN Yi-hong， SUN Ming-hua. Impacts of the symmetrical and unsymmetrical typhoons on the storm surge simulation in the East China and the South China Seas [J]. Journal of East China Normal University(Natural Sc, 20120, 2012(6): 57-72.
[2]	Xinmiao ZHANG, Liming XUE, Benwei SHI, Wenxiang ZHANG, Tianyou LI, Biaobiao PENG, Xiuzhen LI, Yaping WANG. Research on the impact of a typhoon on the accretion-erosion of mudflats: Based on UAV photogrammetry and in situ hydrodynamic measurements [J]. Journal of East China Normal University(Natural Science), 2024, 2024(4): 150-160.
[3]	Peng YU, Xiaojing ZHONG, Xupu GENG. Inversion methods for typhoon wind fields using Sentinel-1 [J]. Journal of East China Normal University(Natural Science), 2022, 2022(3): 125-136.
[4]	WANG Hao-bin, YANG Shi-lun, YANG Hai-fei. A study of the surficial suspended sediment concentration in response to typhoons in the Yangtze Estuary [J]. Journal of East China Normal University(Natural Sc, 2019, 2019(2): 195-208.
[5]	CHEN Jie, SONG Cheng-Cheng, LI Meng-Ya, WANG Jun-. Potential hazard assessment of typhoon storm surge based on scenario simulation methodology in Yuhuan County, Zhejiang Province [J]. Journal of East China Normal University(Natural Sc, 2016, 2016(3): 125-135.
[6]	WANG Zhang-hua, WANG Xi-hua, SHEN Guo-chun. Effects of typhoon disturbance on the litter production in an evergreen broad-leaved forest in the Tiantong, Zhejiang [J]. Journal of East China Normal University(Natural Sc, 2014, 2014(1): 79-89.
[7]	NIU Hai-yan, LIU Min, LU Min, QUAN Rui-song, ZHANG Li-jia,WANG Jing-jing, XU Shi-yuan. Risk assessment of typhoon hazard factors in China coastal areas [J]. Journal of East China Normal University(Natural Sc, 2011, 2011(6): 20-25,35.