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基于海气耦合模型的渤海两种类型风暴潮数值模拟与对比分析 总被引：1，自引：0，他引：1
渤海一年四季都易受到由温带风暴和热带气旋所致风暴潮的影响。为了缓解风暴潮灾害对海岸地区人员生命财产的影响，十分有必要了解大型风暴潮的发生过程和机制。目前大部分研究主要局限于单一的温带风暴潮或台风风暴潮。本文利用所构建的海气耦合数值模型研究了发生于渤海的两种类型的风暴潮，对发生在渤海的2次典型强风暴潮过程进行了模拟。由WRF模型模拟得到的风场强度和最低海平面气压与实测数据吻合较好，由ROMS模型模拟得到的风暴潮期间水位变化过程与潮位站观测结果也吻合较好。对两种类型风暴潮期间的风场结钩、海面风应力、海洋表面平均流场以及水位分布进行了分析对比，并将耦合模型结果与非耦合模型结果进行了对比。研究表明，渤海两种类型风暴潮期间的风场结钩、海面风应力、海洋表面平均流场以及水位分布等均存在巨大差异。渤海风暴潮的强度主要由海洋表面的驱动力所决定，但同时也受海岸地形地貌的影响。 相似文献
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为研究江苏近海海域风暴潮的特性以及为该海域风暴潮增水变化机理及后报做铺垫,本文基于FVCOM(Finite Volume Coast and Ocean Model)海洋模式和Jelesnianski圆形台风风场模型,建立了江苏近海风暴潮数值模型,并对江苏近海的天文潮以及1109号台风和1210号台风引起的风暴潮进行模拟。结合验潮站水位观测,研究了连云港站和吕泗站的天文潮和风暴潮增水过程。我们将风暴潮与天文潮非线性作用下的风暴潮增水和纯风暴潮增水过程进行对比,讨论了天文潮与1109号和1210号台风风暴潮之间的非线性作用引起的增水特征。结果均表明,在天文潮高潮时,天文潮和风暴潮之间的非线性作用可以抑制增水,在天文潮低潮时,天文潮和风暴潮之间的非线性作用有利于增水。除了气象因子以及天文潮和风暴潮之间的非线性作用外,该海区的地理环境也对台风风暴潮增水产生影响。因此对江苏近海的海岸线变化和浅滩地形变化进行敏感性试验,结果表明,本文所设计的海岸线变化对该海域的风暴潮增水影响较小,江苏沿海岸线的向外推移使得江苏海域风暴潮的增水略微上涨,而本文所设计的地形的变化对风暴潮增水影响较大。 相似文献
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The effects of hurricane forward speed(V) and approach angle(θ) on storm surge are important and a systematic investigation covering possible and continuous ranges of these parameters has not been done before. Here we present such a study with a numerical experiment using the Finite Volume Community Ocean Model(FVCOM).The hurricane track is simplified as a straight line, such that V and θ fully define the motion of the hurricane. The maximum surge is contributed by both free waves and a forced storm surge wave moving with the hurricane.Among the free waves, Kelvin-type waves can only propagate in the down-coast direction. Simulations show that those waves can only have a significant positive storm surge when the hurricane velocity has a down-coast component. The optimal values of V and θ that maximize the storm surge in an idealized semi-circular ocean basin are functions of the bathymetry. For a constant bathymetry, the maximum surge occurs when the hurricane approaches the coast from the normal direction when the free wave generation is minimal; for a stepped bathymetry, the maximum surge occurs at a certain acute approach angle which maximizes the duration of persistent wind forcing; a step-like bathymetry with a sloped shelf is similar to the stepped bathymetry, with the added possibility of landfall resonance when the free and forced waves are moving at about the same velocity. For other cases, the storm surge is smaller, given other parameters(hurricane size, maximum wind speed, etc.)unchanged. 相似文献
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基于1980—2017年实测潮位等资料,运用统计分析和数值模拟方法研究了海口市风暴潮分布特征与影响因子。结果表明：海口市受风暴潮影响较频繁,年均2.79次,通常发生在7—10月,且风暴潮引发的潮灾概率较大;风暴增水平面分布表现为：东寨港风暴增水强度位居第一,其次是秀英港,第三是海甸岛,南港增水相对较弱。影响因子体现为：地形的权重通常比热带气旋移动路径更大;热带气旋移动速度对海口市风暴增水有明显影响,移动速度为14~19 km/h时,风暴增水往往达到最大。 相似文献
6.
The present study evaluates future storm surge risk due to tropical cyclones (typhoons) in East Asia. A state-of-the-art atmospheric general circulation model (GCM) outputs are employed as the driving force for simulating storm surges associated with the projected changes in climate. The reproducibility of tropical cyclone (TC) characteristics from the GCM in the Northwest Pacific (NWP) is confirmed by comparing with the observed best track data, and future typhoon changes were presented. Storm surge simulation is carried out for East Asia, with the finest nested domain on the Japanese coast. The probability of maximum storm surge heights with specified return periods is determined using extreme value statistics. We show a strong regional dependency on future changes of severe storm surges. 相似文献
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《Coastal Engineering》2004,51(4):277-296
A cyclone induced storm surge and flood forecasting system that has been developed for the northern Bay of Bengal is presented. The developed system includes a cyclone forecasting model that uses statistical models for forecasting of the cyclone track and maximum wind speed, and an analytical cyclone model for generation of cyclone wind and pressure fields. A data assimilation system has been developed that allows updating of the cyclone parameters based on air pressure and wind speed observations from surface meteorological stations. The forecasted air pressure and wind fields are used as input in a 2D hydrodynamic model for forecasting storm surge levels and associated flooding. An efficient uncertainty prediction procedure based on Harr's point estimation method has been implemented as part of the forecasting system for prediction of the uncertainties of the forecasted storm surge levels and inundation areas caused by the uncertainties in the cyclone track and wind speed forecasts. The developed system is applied on a severe cyclone that hit Bangladesh in April 1991. The simulated storm surge and associated flooding are highly sensitive to the cyclone data. The cyclone data assimilation system provides a more accurate cyclone track when the cyclone approaches the coastline, which results in a significant improvement of the storm surge and flood predictions. Application of the uncertainty prediction procedure shows that the large uncertainties of the cyclone track and intensity forecasts result in large uncertainties of the forecasted storm surge levels and flood extend. The forecasting system shows very good forecasting capabilities up to 24 h before the actual landfall. 相似文献
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基于ADCIRC建立了三门湾风暴潮模型,模型模拟结果与实测数据吻合较好。以可能最大热带气旋参数为基础构建了多种假想台风路径来计算三门核电厂址处的可能最大风暴潮增水。结果表明,NW向登陆且距离核电厂址左侧为R(最大风速半径)时的假想台风使得三门核电厂址处的增水达到最大,风暴潮增水最大值为4.58 m。将可能最大风暴潮增水叠加天文高潮位进行计算,厂址前沿处水位达到了7.75 m,而三门湾顶附近的最高水位已经达到9 m,超出了三门湾沿岸海堤高程。将三门湾沿岸陆地依照高程概化为计算区域进行漫堤计算,当天文高潮位叠加可能最大风暴潮水位时,三门湾沿岸会发生漫堤溢流现象,淹没范围最严重的区域出现在湾顶处,最大淹没面积达到了120 km2。此时厂址前沿最高潮位为7.25 m,与不溢流相比下降了0.50 m。本研究可为三门核电厂址的安全防护提供科学依据。 相似文献
9.
海口湾沿岸风暴潮漫滩风险计算 总被引：4，自引：0，他引：4
引用《海港水文规范》(1998)中的方法计算海口湾的极值高水位,计算不同重现期的风暴潮与最高天文潮位的组合高水位;同时应用经检验为可靠的台风风暴潮数值模式,由气候学统计方法得出的可能最强台风的参数,按3种路径类型12条路径分别计算,并对产生可能最大风暴潮的假想台风路径根据移速变化分别计算,由此确定海口湾可能最大风暴潮(PMSS)。计算所得3组数据作为海口湾风暴潮漫滩风险值,1000a一遇的极值高水位、1000a一遇的风暴潮与最高天文潮的组合高水位及可能最大风暴潮与最高天文潮的组合高水位分别为546cm,634cm和977cm。 相似文献
10.
The Hangzhou Bay faces frequent threats from typhoon-induced storm surge and has attracted considerable attentions of coastal researchers and environmental workers. A three-dimensional storm surge model system based on Finite-Volume Coastal Ocean Model (FVCOM) and analytical cyclone model is applied to investigate the hydrodynamic response in the Hangzhou Bay to tropical typhoon. This model has been used to reproduce the storm surge generated by Typhoon Agnes (No. 8114) and the simulated wind field and water elevations have been compared with the available field observations. A series of numerical experimental cases have been conducted to study the effects of land reclamation project (shoreline relocation and seabed deformation) and cyclonic parameters (minimal central pressure (MCP), radius to maximal wind (RMW) and translation speed (TS)) on the hydrodynamics in the Hangzhou Bay. The results show that the shoreline relocation and seabed deformation could generate much higher storm surge in the vicinity of reclamation project with the shoreline relocation making main contribution (about 70%) to this increase. It is found that among the cyclonic parameters, RMW is the most important factor affecting the peak surge in the Hangzhou Bay. 相似文献
11.
Extreme sea levels associated with severe cyclonic storms are common occurrences along the east coast of India. The coastal districts of Orissa have experienced major surges in the past. The recent Paradip super cyclone is one of the most severe cyclones, causing extensive damage to property and loss of lives. Extreme sea levels are major causes for coastal flooding in this region. Damages can be minimized if the extreme sea levels are forecast well in advance. In the present study, we develop a location specific, fine resolution model for the Orissa coast on the lines similar to that of IIT-D storm surge model (Dube et al. 1994). The model runs on a personal computer. The bathymetry for the model is extracted from very fine resolution naval hydrographic charts for the region extending from the south of Orissa to south of West Bengal. A simple drying scheme has also been included in the model in order to avoid the exposure of land near the coast due to strong negative sea surface elevations. An attempt was made in this study to simulate extreme sea levels along the Orissa coast using the data of past severe cyclones. The model results reported in the present study are in good agreement with available observations or estimates. 相似文献
12.
Numerical modeling of extreme sea levels associated with tropical cyclones in the Indian seas has been confined to the northern part of the Bay of Bengal (north of Tamil Nadu). However, limited attempts have been made for modeling of surges along the Tamil Nadu and Sri Lankan coasts. Although, very rarely, cyclones form south of 10°N, there are some instances of severe cyclonic storms hitting these areas and causing widespread destruction to life and property. Keeping this in view, a suitable location-specific, high-resolution, numerical model has been developed for the prediction of storm surges in these regions with a grid resolution of 3 km. Using the model, numerical experiments are performed to simulate the storm surge associated with the 1964 Rameswaram cyclone, the 1978 Batticaloa cyclone, the 1992 Tuticorin cyclone, the 1993 Karaikal cyclone, and the 1994 Madras cyclone. During the years 1964, 1978, and 1992, the cyclones struck both Sri Lanka and Tamil Nadu coasts, while in 1993 and 1994, the cyclones struck only the Tamil Nadu coast. It is found that the computed sea surface elevations are in close agreement with the available observations/estimates. 相似文献
13.
Extreme sea levels associated with severe cyclonic storms are common occurrences along the east coast of India. The coastal districts of Orissa have experienced major surges in the past. The recent Paradip super cyclone is one of the most severe cyclones, causing extensive damage to property and loss of lives. Extreme sea levels are major causes for coastal flooding in this region. Damages can be minimized if the extreme sea levels are forecast well in advance. In the present study, we develop a location specific, fine resolution model for the Orissa coast on the lines similar to that of IIT-D storm surge model (Dube et al. 1994). The model runs on a personal computer. The bathymetry for the model is extracted from very fine resolution naval hydrographic charts for the region extending from the south of Orissa to south of West Bengal. A simple drying scheme has also been included in the model in order to avoid the exposure of land near the coast due to strong negative sea surface elevations. An attempt was made in this study to simulate extreme sea levels along the Orissa coast using the data of past severe cyclones. The model results reported in the present study are in good agreement with available observations or estimates. 相似文献
14.
Numerical modeling of extreme sea levels associated with tropical cyclones in the Indian seas has been confined to the northern part of the Bay of Bengal (north of Tamil Nadu). However, limited attempts have been made for modeling of surges along the Tamil Nadu and Sri Lankan coasts. Although, very rarely, cyclones form south of 10°N, there are some instances of severe cyclonic storms hitting these areas and causing widespread destruction to life and property. Keeping this in view, a suitable location-specific, high-resolution, numerical model has been developed for the prediction of storm surges in these regions with a grid resolution of 3 km. Using the model, numerical experiments are performed to simulate the storm surge associated with the 1964 Rameswaram cyclone, the 1978 Batticaloa cyclone, the 1992 Tuticorin cyclone, the 1993 Karaikal cyclone, and the 1994 Madras cyclone. During the years 1964, 1978, and 1992, the cyclones struck both Sri Lanka and Tamil Nadu coasts, while in 1993 and 1994, the cyclones struck only the Tamil Nadu coast. It is found that the computed sea surface elevations are in close agreement with the available observations/estimates. 相似文献
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随着滨海核电厂址的开发利用日趋饱和,选取海岛作为核电厂址成为一种新思路。针对海岛厂址易受台风灾害影响的问题,本文通过对天文高潮位、海平面上升、可能最大风暴潮增水和最大台风浪四个增水因子的研究来确定厂址的设计基准洪水位。结果表明:该区域10%超越概率的天文高潮位为3.14 m,未来80 a海平面上升幅度为0.31 m。基于MIKE21数值模型,以可能最大热带气旋参数为基础构建了多种假想台风路径,发现:当台风移动方向为NW向,距离厂址中心左侧0.5R(R为台风最大风速半径)时,风暴潮增水达到最大,增水最大值为2.99 m;当台风移动方向为W向,且距离厂址左侧R处时,台风浪波高达到最大,厂址前沿H1/100波高最大值达到了8.02 m;岛屿东侧遭受的风暴潮和波浪威胁较其他方向更为严重。各水位影响因子组合叠加后海岛核电厂址设计基准洪水位可达11.25 m。相对于其他滨海厂址,海岛厂址的风暴潮增水相对偏小,但受波浪的影响更为显著。 相似文献
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利用《西北太平洋热带气旋年鉴》资料,简要分析了影响上海地区可能最高潮位的台风路径、强度变化特征.分析表明,造成上海地区严重风暴潮的台风路径有3种类型,它们分别是登陆浙江沿海西行类、近海北上类和正面袭击上海类.上海及其近海区域台风强度随纬度增加而减弱的变化特征明显,在东海北部,近50a内尚未出现过中心气压低于920hPa的台风.利用特定的统计模式,根据假想台风路径、强度变化给出的可能最大增水只有210cm,其值明显偏小,认为用统计方法进行上海地区最大可能增水的估算似乎不合适.在考虑可能变化的台风路径、强度、移动速度以及天文大潮汛等综合因素后,利用高分辨率ECOM-Si的数值模式计算出的上海地区(吴淞)可能最大增水是由5612台风以10km/h速度北抬纬度2°并取所在位置的历史最低气压值造成的,其可能最大增水为367cm,如以长江口区天文可能高潮值420cm计算,则获得长江口的最大可能水位为787cm. 相似文献
17.
The climatology of intense winter cyclone events in the eastern North Atlantic responsible for high magnitude surge generation (top 1% of events) within the region of the South-Western Approaches to northwest France and southwest England is extracted from daily sea-level and 500-hPa level atmospheric pressure analyses. Cluster analysis yields discrete cyclone track regimes linked to upper airflow patterns being responsible for the generation of intense storms (central pressure at sea-level ≤990 hPa) which promote severe surge events ≥60 cm along the French coast of the South-Western Approaches. Fluctuations in storminess are strongly influenced by the southward intrusion and strengthening of the jet stream in mid-Atlantic. These occurrences are often associated with negative sea surface temperature (SST) anomalies near Newfoundland and a strengthening of the thermal gradient across the Atlantic well to the south of its normal position. Resultant cyclogenesis promotes storms displaying a delay in minimum central pressure attainment until well east of 14°W, encouraging enhancement of surge flow. Stepwise multiple regression analysis indicates that the most influential variables in promoting severe surge events in the South-Western Approaches are trans-Atlantic sea surface temperature gradients. The most important influence is the prevailing west–east sea surface temperature gradient during the month of the storm, followed by that for the prior month of the storm and thirdly, the north–south sea surface temperature gradient prevailing during the month of the event. Other influential variables reflect the character of the cyclone, storm duration, mean deepening rate of storm central pressure, the value of the outermost closed isobar around the storm centre, and the longitudinal position of the outermost closed isobar to the right of the cyclone track. In contrast, the North Atlantic Oscillation (NAO) is not very effective as a discriminator of surge activity. This may reflect the greater intra-month volatility of parameters used to derive the NAO index than of other monthly variables considered in the study. The lack of resolvability at the individual storm level probably also arises because of the monthly detailing of the NAO against storms of 2–3 days duration. This behavioural model of extreme storminess in the South-Western Approaches to northwest France provides the basis by which extremes of coastal susceptibility can be calibrated. 相似文献
18.
Statistical analysis of the extreme values of the Baltic Sea level has been performed for a series of observations for 15–125 years at 13 tide gauge stations. It is shown that the empirical relation between value of extreme sea level rises or ebbs (caused by storm events) and its return period in the Baltic Sea can be well approximated by the Gumbel probability distribution. The maximum values of extreme floods/ebbs of the 100-year recurrence were observed in the Gulf of Finland and the Gulf of Riga. The two longest data series, observed in Stockholm and Vyborg over 125 years, have shown a significant deviation from the Gumbel distribution for the rarest events. Statistical analysis of the hourly sea level data series reveals some asymmetry in the variability of the Baltic Sea level. The probability of rises proved higher than that of ebbs. As for the magnitude of the 100-year recurrence surge, it considerably exceeded the magnitude of ebbs almost everywhere. This asymmetry effect can be attributed to the influence of low atmospheric pressure during storms. A statistical study of extreme values has also been applied to sea level series for Narva over the period of 1994–2000, which were simulated by the ROMS numerical model. Comparisons of the “simulated” and “observed” extreme sea level distributions show that the model reproduces quite satisfactorily extreme floods of “moderate” magnitude; however, it underestimates sea level changes for the most powerful storm surges. 相似文献
19.
胶州湾高分辨率三维风暴潮漫滩数值模拟 总被引：1，自引：0，他引：1
基于海表气压项改进的FVCOM(Finite-Volume Coastal Ocean Model)海洋模式,研发胶州湾高分辨率三维风暴潮漫滩数值模式(JS-FVCOM).利用 JS-FVCOM 模式通过对天文潮、台风强度和径流3要素的不同组合,共设计了5个试验,分别进行风暴潮漫滩模拟实验.分析各试验结果得到如下结论:(1)随着台风最大风速的增加,风暴潮增水迅速增加,当综合水位超过防潮堤高程后增水速度明显减慢.海水淹没范围和淹没深度受综合水位超防潮堤高程时间影响明显.(2)在入海河流的河口区,当洪水位与高潮位相遇时,由于高潮位的顶托作用,洪水下泄不畅,造成综合水位上升明显,极易发生海水漫溢现象.JS-FVCOM 的模拟结果清楚地再现了海水漫堤的淹没过程,可为紧急情况下的人员疏散提供科学的基础数据. 相似文献
20.
北印度洋是我国“海上丝绸之路”的重要通道,其每年热带气旋活动引起的风暴潮等严重威胁着船舶航行安全和沿岸国家人民生命财产安全。分析研究北印度洋风暴潮的特征,对我国经济发展及北印度洋沿岸国家防灾减灾具有重要的现实意义。利用美国联合预警中心(the Joint Typhoon Warning Center, JTWC)公布的1950~2020年热带气旋资料、美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration, NOAA)公布的1950~2020年热带气旋资料与1950~2020年的Niño3.4指数、夏威夷大学海平面中心(University of Hawaii Sea Level Center, UHSLC)公布的北印度洋每小时的水位数据进行分析,结果表明: (1)北印度洋大于1 m的风暴潮主要分布在孟加拉湾北部,少量分布在孟加拉湾其他区域与阿拉伯海; (2)孟加拉湾北部区域的年际最大热带风暴潮(annual maximum tropical cyclone storm surge, AMTSS)与当月Niño3.4指数、南方涛动指数(southern oscillation index, SOI)相关性较高、受厄尔尼诺-南方涛动(EI Niño-Southem Oscillation, ENSO)的影响明显; (3)北印度洋AMTSS月际分布呈现双峰分布,与热带气旋(tropical cyclone, TC)的月际分布基本一致; (4) La Niña期间影响孟加拉湾北部的热带气旋在数量与强度方面均超过El Niño期间影响孟加拉湾的热带气旋,是La Niña期间风暴潮极值大于EI Niño期间风暴潮极值的重要原因。研究表明, AMTSS对ENSO信号的响应可能为AMTSS提供了潜在的可预测性,这对早期预警和减少风暴潮灾害具有重要意义。 相似文献