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1.
Although the frequency of tropical cyclones is less in the Arabian sea compared to that of the Bay of Bengal, there are several severe tropical cyclones which caused extensive damage along the Gujarat coast. In view of the high tidal range in the funnel-shaped gulfs of the Khambhat and the Kachch, it is very useful to study the surge response in these regions. There is always a possibility of abnormal rise of sea level when the occurrence of surge coincides with high tide, which may eventually cause inundation of vast stretches of shallow coastal areas. In view of this, a location specific fine resolution model is developed for the Gujarat coast. The east-west and north-south grid distances for the model are 5.1 km and 5.2 km, respectively. Several numerical experiments are carried out to compute the extreme sea levels using the wind stress forcings representative of 1982, 1996, and 1998 cyclones, which crossed this region. The model-computed extreme sea levels are in good agreement with the available observations. 相似文献
2.
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
3.
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
4.
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
5.
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
6.
气候变化背景下,海平面上升叠加台风—风暴潮、天文大潮等产生的海岸极值水位事件趋多增强,对我国滨海城市社会经济可持发展构成了严重威胁。为认识未来我国滨海城市海岸极值水位危害性（强度和频率）的变化,本文首先采用第五次国际耦合模式比较计划（CMIP5）数据,分析了不同气候情景下（RCP2.6, 4.5, 8.5,简称为RCPs）下,未来不同年代（2030年、2050年和2100年）我国滨海城市沿岸海平面变化幅度;其次,基于沿海验潮站的历史观测资料和文献数据,分析了未来热带气旋强度变化对海岸极值水位的影响;最后,利用皮尔逊Ⅲ型（P-Ⅲ）水文概率曲线方法,预估了不同气候（RCPs）情景下未来不同年代（2030年、2050年和2100年）我国9个滨海城市海岸极值水位重现期的变化。结果表明：（1）在不同气候情景下,我国滨海城市沿海平均海平面均呈现上升趋势,其中,到21世纪末,长三角地区沿海海平面上升幅度最大,上升速度比全国平均高出约30%;（2）热带气旋的强度与台风—风暴潮的增水幅度存在正相关关系。预计到21世纪末,热带气旋的整体强度很可能将增强,热带气旋引发的台风—风暴潮的增水幅度较当前很可能有明显提高。（3）未来我国滨海城市沿海极值水位将有显著增高的趋势,当前极值水位的重现期将明显缩短。到21世纪末,我国滨海城市当前百年一遇的极值水位,重现期几乎都将缩短至20年一遇以下,其中,大连、青岛、上海和厦门等城市海岸极值水位重现期很可能缩短为（或低于）1年一遇。本文虽在一定程度上反映了不同气候情景下海岸洪水危害性的变化,但对于未来热带气旋的变化及其影响的研究尚有待进一步深入。 相似文献
7.
Coastal inundation associated with extreme sea levels is the main factor which leads to the loss of life and property whenever a severe tropical cyclonic storm hits the Indian coasts. The Andhra and Orissa coasts are most vulnerable for coastal inundation due to extreme rise in sea levels associated with tropical cyclones. Loss of life may be minimized if extreme sea levels and associated coastal flooding is predicted well in advance. Keeping this in view, location specific coastal inundation models are developed and applied for the Andhra and Orissa coasts of India. Several numerical experiments are carried out using the data of past severe cyclones that struck these regions. The simulated inland inundation distances are found to be in general agreement with the reported flooding. 相似文献
8.
Coastal inundation associated with extreme sea levels is the main factor which leads to the loss of life and property whenever a severe tropical cyclonic storm hits the Indian coasts. The Andhra and Orissa coasts are most vulnerable for coastal inundation due to extreme rise in sea levels associated with tropical cyclones. Loss of life may be minimized if extreme sea levels and associated coastal flooding is predicted well in advance. Keeping this in view, location specific coastal inundation models are developed and applied for the Andhra and Orissa coasts of India. Several numerical experiments are carried out using the data of past severe cyclones that struck these regions. The simulated inland inundation distances are found to be in general agreement with the reported flooding. 相似文献
9.
海港水位频率的组合计算 总被引：1，自引：0，他引：1
本文提出的海港水位及其频率的组合计算,重点在热带气旋增水与天文潮的组合,将增水从历年实测的热带气旋影响下的水位中分离出来,并分析其频率分布,再同具有确定比率的天文潮位组合,求得组合后水位的频率,并且结合实例说明所求得的结果较目前通常使用的年最高水位抽样组成系列进行计算的结果为佳。 相似文献
10.
东海及其邻近海区是受热带气旋影响较为严重的区域,研究该海域的热带气旋风灾风险有助于防灾减灾。选取1980—2019年影响该海域的587个热带气旋资料,利用Holland经验风场模型获得该海域热带气旋风场数据集,参照Simpson风灾指数方法,构建联合风速及其累计时间的风灾指数。结果表明:①东海及其邻近海区大部分海域受热带气旋影响,都会出现最大风速超过30 m/s。②进入20世纪,东海热带气旋风速有增强的趋势,每10 a的平均增速约1.6 m/s。③近岸海域最大风速主要发生在7月中旬至9月中旬。④从宁德至温州近岸海域的风灾等级相对较高,且风灾等级向南北两侧呈递减趋势。 相似文献
11.
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
12.
以辽东湾东部区块出现的极值增水序列为例,考虑热带气旋过程出现频次的影响,采用泊松-最大熵复合极值分布进行了增水统计分析,计算得到辽东湾东部区块的增水重现值.最大100年一遇值为183cm,最大50年一遇值为158cm,皆出现于第1区块.由于受地形的影响,区块1、2与3的增水大小相似,区块4则略小.该结果对辽东湾东部区块... 相似文献
13.
根据1965—2009年间影响北海市沿岸的热带气旋资料和风暴增水资料,进行统计分析北海市沿岸的风暴潮特征。结果表明:北海市沿岸平均每年发生风暴增水2—3次,其中较大以上强度的风暴增水每年0.87次,严重以上强度的风暴增水每3年有一次;北海市沿岸每年4—11月均有可能发生风暴增水,且集中在7—10月,尤以9月最多。影响北海市沿岸的热带气旋主要以西北行路径为主,且多是穿过雷州半岛或海南岛后在越南沿海登陆,此种情况下,风暴增水曲线表现为周期性波动。另外,本文还采用Pearson-Ⅲ分布和Gumbel分布来估算风暴增水频度,得出北海市沿岸不同重现期的高潮位值。 相似文献
14.
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
15.
采用1979—2019年热带气旋最佳路径资料,分析影响中国沿海的热带气旋的时空演变特征,并结合Ni?o3.4指数、海表温度和海洋上层热容量资料,对热带气旋与ENSO变化关系进行初步探讨。结果表明,近40年来影响中国沿海的热带气旋经历了1990年代减弱,2000年代增强的变化过程,且在2000年以后呈现显著向岸迁移趋势。影响中国沿海的热带气旋与表征ENSO的Ni?o3.4指数的相关关系在2000年发生突变,具体表现为ACE与Ni?o3.4指数在2000年前呈显著正相关,2000年后二者相关性明显下降。通过将ACE分解成平均强度ACE1、持续时间ACE2和频数ACE3这三个分量,发现2000年前Ni?o3.4指数与平均强度ACE1呈显著正相关,但2000年后Ni?o3.4指数与ACE1相关关系减弱,这可能是导致ACE与Ni?o3.4指数的相关关系在2000年左右发生突变的主要原因。持续时间ACE2与Ni?o3.4指数一直保持显著正相关,频数ACE3<... 相似文献
16.
The influences of tropical cyclone paths and shelf bathymetry on the inducement of extreme sea levels in a regional bay are investigated. A finite volume coastal ocean model(FVCOM) has been configured for the Gulf of Thailand-Sunda Shelf. A parametric wind model is used to drive the FVCOM. The contributions of the tropical cyclone characteristics are determined through a scenario-based study. Validation based on a historical extreme sea level event shows that the model can resolve the oscillation mechanism well. The intensification of severe storm surges in the region highly depends on four factors including phase propagation of the storm surge wave determined by the landfall position, funnel effect caused by locality of the coastline, and shelf bathymetry determined by the state of mean sea level and coastline crossing angle of the storm path. The coexistence of these factors can cause particular regions e.g. the Surat Thani Bay, inner Gulf of Thailand and Ca Mau Peninsular to experience a larger surge magnitude. These areas are found to be highly related to monsoon troughs that develop during the onset and early northeastern monsoon season(October–November). 相似文献
17.
2016年中国沿海海平面上升显著成因分析及影响 总被引：1，自引：0，他引：1
使用中国沿海及西北太平洋区域的水位、海温、气温、气压和风等水文气象资料，详细分析了2016年中国沿海海平面显著升高的成因及影响。分析结果表明:（1）2012-2016年，中国沿海海平面处于准2 a、4 a、准9 a和准19 a周期振荡的高位，几个周期振荡高位叠加，对该时段海平面上升起了一定的作用；（2）2016年，中国沿海气温和海温较1993-2011年的平均值分别高0.7℃与0.5℃，均处于1980年以来高位；气压较1993-2011年的平均值低0.2 hPa；（3）2016年4月、9月、10月和11月，中国沿海海平面均达到1980年以来同期高位，这4个月的风场距平值在东海以南均明显偏大，且以偏南向和向岸风为主，风生流使得海水向岸堆积，沿海长时间以增水为主，对当月局部海平面上升的贡献率达到40%~80%；（4）2016年，中国沿海降水总体偏多，局部区域降水量达到历史同期最高，加上沿海径流量的增加，对沿海局部海平面升高有一定贡献；（5）2016年9-10月，有5个台风相继影响我国南部沿海，持续的风暴潮增水导致台风影响期间的海平面高于当月平均海平面70~360 mm，风暴潮和洪涝灾害给当地造成直接经济损失超过30亿元。 相似文献
18.
19.
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