A1B气候情景下海平面变化对东中国海风暴潮的影响

用三维水动力模型Ecomsed,在第四次IPCC评估报告SRES A1B气候情景下,分析21世纪海平面变化对东中国海风暴潮及沿岸脆弱性的影响。在A1B气候情景海平面变化影响下,对17个台风个例进行模拟。结果表明:受海平面变化影响风暴潮增减水出现大概10 cm的变化,风暴潮增水提前,风暴潮增水时段延长;台风强度越大,海平面变化对风暴潮增水强度的影响越明显。海平面变化对海岸带脆弱性具有很大影响,苏北浅滩及环渤海海岸带脆弱性将增强,校核水位在东中国海将会增大。     

舟山海域风暴潮增水数值分析——以台风“灿鸿”为例

基于FVCOM(Finite Volume Coast and Ocean Model)模式,建立了舟山海域台风风暴潮增水数值模型。通过对1509号台风"灿鸿"进行风暴潮过程模拟,验证了模型可用于舟山海域的台风风暴潮增水的模拟和分析;以1509号台风为基础,构造了9条不同路径台风分别进行风暴潮增水模拟,得到了对舟山岱山县沿海最有利增水的台风路径;在最佳路径的基础上,叠加五种不同强度的台风场,分析不同强度台风作用引起的增水情况;应用此模型探讨了未来情景下平面上升30cm和上升66cm后的水位极值分布情况以及其相对于原始海平面的变化情况。     

渤、黄海天文潮—风暴潮相互作用及其对极值水位的贡献

基于Delft3D模型建立了中国渤、黄海风暴潮数值模型,选取1979—2020年影响该海域的93场风暴过程（包括台风、寒潮和温带气旋）,模拟了所产生的风暴增水和风暴潮总水位。采用泊松—皮尔逊复合极值分布理论,推算了渤、黄海对应不同重现期的极值水位;通过数值试验,对天文潮—风暴潮非线性相互作用对极值水位的贡献进行了量化分析。研究结果表明,渤海的莱州湾、渤海湾,以及黄海的江华湾、西朝鲜湾风暴增水最大,其中江华湾北侧和渤海湾西南侧的百年一遇风暴增水可达4 m;天文潮—风暴潮非线性相互作用在潮差较大、水深较浅的河口、湾顶区域更为显著,与耦合模型结果相比,非线性作用使极值水位值偏小,天文潮、风暴潮增水的线性叠加可显著高估极值水位,高估的幅值可达0.5~0.8 m。考虑重现期极值水位是海岸灾害防护工程的关键设计参数之一,对海岸构筑物的安全和建造成本影响极大,应重视天文潮—风暴潮非线性相互作用对重现期水位的影响。     

影响广东省中部沿海热带气旋大风气候特征和重现期分析

利用广东省中部沿海台站气象资料,统计分析了影响该地区的热带气旋频数、强度、发生源地、大风风速等气候特征及变化趋势,并进行了台站资料的重现期风速计算。结果表明,热带气旋影响广东省中部沿海多出现于6—9月,其中尤以8月最多;影响热带气旋以强热带风暴和台风最多,它们多生成于南海北部和菲律宾群岛以东洋面;在过去50年间影响热带气旋频数总体上略有下降,在1970和1980年代较多,1960年代和1995—2010年期间较少,影响热带气旋的强度有减弱的趋势。重现期风速极值分布总体上呈从沿岸向内陆迅速减小,以及西部略大、东部略小的特点。     

宁波台风风暴潮数值模拟与风险计算

基于已有潮位站的台风风暴潮历史资料,利用业务化台风风暴潮数值预报模式对影响宁波的5次较显著台风风暴潮过程进行模拟检验,分析表明模式能较好的模拟台风风暴潮过程,尤其是对最大过程增水的模拟.因此,以镇海潮位站为切入点,选用引发宁波最大风暴增水的5612号热带气旋(Wanda)的路径,平移后组合不同等级的热带气旋参数,构建出多组假想最优热带气旋进行宁波地区风暴潮风险的计算,得到从强热带风暴至超级台风共5类热带气旋登陆宁波时所可能引发的最大风暴增水,并使用皮尔逊Ⅲ型统计计算出对应的历史重现期,为宁波地区今后有效地防范各类热带气旋强度的风暴潮提供决策支持.     

海平面上升对北部湾风暴潮增水影响研究——以 2012 年台风“山神”为例

全球变暖引发的海平面上升将加剧风暴潮增水,进而危及沿海经济发展与社会安全保障。本文基于模型耦合与模型嵌套技术构建北部湾台风风暴潮数值模拟系统,以2012年台风"山神"为天气背景,通过设计7组情景模拟研究未来不同海平面上升背景下北部湾风暴潮增水变化。结果表明:风暴潮期间水位从南向北沿北部湾逐渐涌高,最高水位发生在广西沿岸,达2.4 m以上。天文潮和台风风场拖曳力是形成高水位的主要驱动力,其中天文大潮和最大风场拖曳力对最高水位的贡献率分别约占70%和30%。海平面上升对风暴潮增水的影响具有时空非线性和非均一性特征。其中,潮位波动和波-流耦合效应会改变实际最大增水发生时间,导致钦州湾附近高潮位大致提前1天半,海平面上升1.1 m使得最大风暴潮增水大致提前30 min;未来海平面上升0.66～1.1 m将导致北部湾大部分海域风暴潮增水幅度放大6%～10%,广西沿岸钦州湾和大风江河口出现负增加效应,可能与溺谷海湾地形特征有关。研究结果可为未来北部湾沿岸防御风暴潮灾害提供理论依据。     

海平面上升、强台风和风暴潮对厦门海域极值水位的影响及危险性预估

气候变化背景下海平面上升、强台风和风暴潮对我国东南沿海地区的洪涝灾害影响日益严重,为应对气候变化的影响,本文以位于我国东南沿海的厦门地区为例,应用多种海洋大气观测资料和数理统计及模拟方法,分析了历史上9914号和1614号两次台风对厦门海域极端海面高度(极值水位)的影响,预估了未来海平面上升情景下厦门海域极值水位的变化及其危险性。结果表明:(1) 9914号台风期间,天文大潮、风暴增水和强降水的同时出现造成了厦门沿海地区超警戒极值水位(732 cm)的出现;(2) 风(向岸强风)、雨(强降水)、浪(巨浪)、潮(高潮位)、流(急流)等多致灾因子的共同作用是厦门沿海地区发生严重灾情的重要原因;(3) 在温室气体中等和高排放(RCP4.5和RCP8.5)情景下,到2050年(2100年),当前百年一遇的极值水位将分别变为30年(2年)一遇(RCP4.5)和25年(低于1年)一遇(RCP8.5)的频繁极端事件。这表明未来厦门沿海极值水位的危险性将显著上升,应采取充分的适应措施降低洪涝灾害风险。     

海平面上升对中国沿海地区极值水位重现期的影响

基于中国沿海10个验潮站资料,利用皮尔森Ⅲ型(P-Ⅲ)模型探讨了典型浓度路径(Representative Concentration Pathway,RCP)情景下21世纪海平面上升对中国沿海地区极值水位重现期的影响。结果表明:海平面上升将显著缩短极值水位的重现期。在RCP8.5情景下极值水位的重现期缩短最为显著。预估到2050年,在RCP8.5情景下,所研究的中国沿海地区潮位站的百年一遇极值水位将变为9~43 a一遇。到2100年,在RCP8.5情景下,百年一遇极值水位变为1~18 a一遇。当前极值水位的低概率事件将在2100年变得普遍,在RCP8.5情景下,到2100年千年一遇的几乎每两百年发生一次。由于极值水位的重现期会随着气候变化而缩短,未来沿海地区将会面临更严峻的风险与挑战。     

历年影响广西沿海的热带气旋及其灾害成因分析(英文)

登陆或经过广西沿海的热带气旋是一种严重的自然灾害,每年热带气旋所伴随的大风、大雨、风暴潮等灾害造成沿海地区严重的财产损失或人员伤亡。通过对1950~2012年影响广西沿海的热带气旋的统计分析发现,影响广西沿海的热带气旋数量年际变化明显,最多的年份达9个,最少的年份为0个;热带气旋季节分布具有明显规律性,每年的7、8、9三个月为影响高峰月,其次为6、10月;热带气旋从菲律宾以东洋面进入南海后穿过海南省和雷州半岛再次登陆广西沿海的次数最多,该类热带气旋引起的风暴增水平均值为111.2 cm,到达非登陆台风增水的2.6倍。风暴潮灾害的形成与强台风天气系统、全日大潮、河流下泄洪水直接有关。强台风产生巨浪及降雨,使入海河口水位上升,与风暴潮叠加后产生明显的增水,造成巨大的潮灾。     

历年影响广西沿海的热带气旋及其灾害成因分析

通过对1950-2012年影响广西沿海的热带气旋的统计分析发现,影响广西沿海的热带气旋数量年际变化明显,最多的年份达9个,最少的年份为0个;热带气旋季节分布具有明显规律性,每年的7、8、9三个月为影响高峰月,其次为6、10月;热带气旋从菲律宾以东洋面进入南海后穿过海南省和雷州半岛再次登陆广西沿海的次数最多,该类热带气旋引起的风暴增水平均值为111.2 cm,到达非登陆台风增水的2.6倍。风暴潮灾害的形成与强台风天气系统、全日大潮、河流下泄洪水直接有关。强台风产生巨浪及降雨,使入海河口水位上升,与风暴潮叠加后产生明显的增水,造成巨大的潮灾。     

Recent Sea Level and Sea Surface Temperature Trends Along the Bangladesh Coast in Relation to the Frequency of Intense Cyclones

Bangladesh, one of the most densely populated countries in the world, is a victim of frequent natural calamities like tropical cyclones, tornadoes, floods, storm surges and droughts. Now the sea level rise (SLR) has also been included in these natural calamities. The SLR is likely to have greater impact on that part of Bangladesh having low topography and a wide flood plain. Since 21% of the population lives in the low coastal belt, any increase in sea level will be a problem of ominous proportion for Bangladesh. Since the cyclogenesis enhances over the Bay of Bengal during May and November, the sea level and sea surface temperature (SST) trends of these two months have been analyzed and calculated. The results of the selected stations one in the eastern coast and another in the western coast of Bangladesh show that Bangladesh coastal sea level is rising in the same way as the global sea level, but the magnitude is quite different. The difference in the behavior of sea level rise along the Bangladesh coast and the global trend may be due to the tectonic activity such as subsidence of the land. The mean tide level at Hiron Point (in Sunderbans) has shown an increasing trend of about 2.5 mm/year in May and 8.5 mm/year in November. Similarly near Cox?s Bazar (in the eastern coast of Bangladesh) it has registered a positive trend of about 4.3 mm/year in May and 10.9 mm/year in November. Thus the increment in the sea level along the Bangladesh coast during cyclone months is much more pronounced. In coastal waters near Hiron Point the SST has registered an increasing trend of about 1°C in May and 0.5°C in November during the 14-year period from 1985?1998. Near Cox?s Bazar, SST has shown a rising trend of about 0.8°C in May and about 0.4°C in November during the same 14-year period. The magnitude of SST trend is slightly more along the west coast. Any change in the frequency and intensity of tropical cyclones will have far reaching implications in the South Asian region. The rise in SST in the cyclone months seems to be correlated with the frequency and intensity of tropical cyclones. During these months, an increasing trend in the frequency and intensity of severe cyclones has been observed.     

辽东湾东部区块热带风暴设计增水的计算

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...     

气候变暖与海平面上升

本文通过大量实际资料分析认为,现代全球变暖与海平面上升,源于200多年前小冰期冷峰出现后的气候返暖、海平面回升过程演变的结果。近30年的世界海平面上升的速率,有着上世纪80、90年代和本世纪前10年世界平均气温每10年以0．2F°（0．11℃）为梯度的连续抬升为背景。在此以CO。含量为气候指标,划分出了公元200年以来的八个暖段（暖期）。若按冷暖极值距200年或250年计算,则由目前正在发展的暖期,将在公元2050年或2100年前后结束,而后开始降温。作者依据最近30年同一时段国内外验潮资料计算获得的绝对海平面升降速率为＋1．52±0．27mm／a及相对海平面升降速率为＋1．39±0．26mm/a。按照2010年坎昆气候大会决议要求,在对前人有关研究成果进行考量时,对将来的2050和2100年世界海平面预测及我国地面沉降较明显的沿海城市如天津、上海、厦门、海口等相对海平面升降值,进行了测算与评估。     

基于CMIP5模拟预估21世纪珠江三角洲地区由于海平面上升而导致的淹没区面积

Projections of potential submerged area due to sea level rise are helpful for improving understanding of the influence of ongoing global warming on coastal areas. The Ensemble Empirical Mode Decomposition method is used to adaptively decompose the sea level time series in order to extract the secular trend component. Then the linear relationship between the global mean sea level(GMSL) change and the Zhujiang(Pearl) River Delta(PRD)sea level change is calculated: an increase of 1.0 m in the GMSL corresponds to a 1.3 m(uncertainty interval from1.25 to 1.46 m) increase in the PRD. Based on this relationship and the GMSL rise projected by the Coupled Model Intercomparison Project Phase 5 under three greenhouse gas emission scenarios(representative concentration pathways, or RCPs, from low to high emission scenarios RCP2.6, RCP4.5, and RCP8.5), the PRD sea level is calculated and projected for the period 2006–2100. By around the year 2050, the PRD sea level will rise 0.29(0.21 to 0.40) m under RCP2.6, 0.31(0.22 to 0.42) m under RCP4.5, and 0.34(0.25 to 0.46) m under RCP8.5, respectively.By 2100, it will rise 0.59(0.36 to 0.88) m, 0.71(0.47 to 1.02) m, and 1.0(0.68 to 1.41) m, respectively. In addition,considering the extreme value of relative sea level due to land subsidence(i.e., 0.20 m) and that obtained from intermonthly variability(i.e., 0.33 m), the PRD sea level will rise 1.94 m by the year 2100 under the RCP8.5scenario with the upper uncertainty level(i.e., 1.41 m). Accordingly, the potential submerged area is 8.57×103 km2 for the PRD, about 1.3 times its present area.     

2012年中国沿海海平面上升显著成因分析

2012年,中国沿海海平面变化最突出的特点是海平面升高显著。海平面总体比常年高122mm,较2011年偏高53mm,达1980年以来最高位。本文使用中国沿海及西北太平洋区域近30a的水位、海温、气温、气压和风等水文气象资料,详细分析了中国沿海海平面2012年异常偏高的成因。结果表明:2010-2012年中国沿海海平面处于2~3a、8~9a和准19a周期震荡的高位,几个周期震荡高位叠加,对海平面上升起了明显的影响;2012年,沿海气温和海温分别较常年偏高0.4℃和0.3℃,气压较常年低1.2hPa,气压达历史最低位;2012年,中国南海夏季风爆发时间较常年偏早,结束较常年偏晚,季风持续时间较常年偏长,导致2012年5-6月和8月,在黄海和东海海域,东北风持续偏强,南海海域南风偏强,风场的异常导致黄海、东海和南海沿海海水长时间堆积,是造成海平面升高的原因之一;2012年,热带气旋登陆时间集中,影响范围广,北上和影响东北地区的台风数量均为历史之最,特别是2012年8月,有6个热带气旋相继影响我国沿海,对当月海平面升高影响明显;另外,2012年副热带高压偏北、偏东、偏弱的特点对东海和南海的海平面上升也有一定影响。     

Regional scenarios of sea level rise and impacts on Basque (Bay of Biscay) coastal habitats,throughout the 21st century

Global climate models have predicted a rise on mean sea level of between 0.18 m and 0.59 m by the end of the 21st Century, with high regional variability. The objectives of this study are to estimate sea level changes in the Bay of Biscay during this century, and to assess the impacts of any change on Basque coastal habitats and infrastructures. Hence, ocean temperature projections for three climate scenarios, provided by several atmosphere–ocean coupled general climate models, have been extracted for the Bay of Biscay; these are used to estimate thermosteric sea level variations. The results show that, from 2001 to 2099, sea level within the Bay of Biscay will increase by between 28.5 and 48.7 cm, as a result of regional thermal expansion and global ice-melting, under scenarios A1B and A2 of the Intergovernmental Panel on Climate Change. A high-resolution digital terrain model, extracted from LiDAR, data was used to evaluate the potential impact of the estimated sea level rise to 9 coastal and estuarine habitats: sandy beaches and muds, vegetated dunes, shingle beaches, sea cliffs and supralittoral rock, wetlands and saltmarshes, terrestrial habitats, artificial land, piers, and water surfaces. The projected sea level rise of 48.7 cm was added to the high tide level of the coast studied, to generate a flood risk map of the coastal and estuarine areas. The results indicate that 110.8 ha of the supralittoral area will be affected by the end of the 21st Century; these are concentrated within the estuaries, with terrestrial and artificial habitats being the most affected. Sandy beaches are expected to undergo mean shoreline retreats of between 25% and 40%, of their width. The risk assessment of the areas and habitats that will be affected, as a consequence of the sea level rise, is potentially useful for local management to adopt adaptation measures to global climate change.     

Sea Levels and Coastal Inundation Due to Tropical Cyclones in Indian Coastal Regions of Andhra and Orissa

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.     

Sea Levels and Coastal Inundation Due to Tropical Cyclones in Indian Coastal Regions of Andhra and Orissa

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.