|
摘要:
|
| 利用Delft3D水动力模型和XBeach沙滩模型相结合的方式,探究了2023年11月寒潮过程中莱州湾月亮湾砂质海岸的响应过程,以0~19 h、20~27 h、28~47 h和48~70 h分别代表寒潮影响初期、寒潮影响最大阶段、寒潮影响减小阶段和寒潮影响结束阶段。分析结果表明:寒潮影响初期(0~19 h),各剖面呈现同步侵蚀-堆积响应,呈现“上淤下蚀”形态;寒潮影响最大阶段(20~27 h),侵蚀锋面向海推进,最大侵蚀深度增加,80%输沙量堆积于潮间带上部,出现沿岸输移分异现象;寒潮影响减小阶段(28~47 h),复合动力作用导致最大侵蚀量突破0.4 m,潮间带上部形成0.45 m堆积体,滩面沙源空间开始分配失衡;寒潮影响后期阶段(48~70 h),波高衰减至0.8 m后地形调整趋缓,但累计效应使最大冲淤量达0.5 m。研究期间,寒潮导致的波浪爬高极值达3.46 m,其空间分布呈现显著剖面差异性,但均低于各剖面滩顶临界高程。这种水位-地形耦合作用导致潮间带上部持续处于动力超冲带,形成系统性侵蚀环境,这一机制是整个海滩剖面呈现净侵蚀主导地貌演变模式的核心原因。 |
| This paper uses the Delft3D hydrodynamic model and the XBeach beach model to investigate the responses of the sandy coastline at Moon Bay in Laizhou Bay to the cold wave in December 2023. The periods of wave generation, wave peak, wave decay and wave die out are represented by 0~19 h, 20~27 h, 28~47 h, and 48~70 h, respectively. The results show that during the wave generation period(0~19 h), all profiles exhibit synchronous erosion-deposition responses, forming a "siltation above, erosion below" pattern; during the peak period(20~27 h), the erosion front advances towards the sea, with the maximum erosion depth increasing, and 80% of the sediment load is deposited on the upper inter tidal zone, leading to coastal transport differentiation; during the wave decay period(28~47 h), composite dynamic forces cause the maximum erosion volume to exceed 0.4 m, forming a 0.45 m deposit on the upper inter tidal zone, and the spatial distribution of sand sources begins to unbalance; during the wave die out period(48~70 h), after the wave height decays to 0.8 m, the terrain adjustment slows down, but cumulative effects result in a maximum sedimentation volume of 0.5 m. During the study period, the extreme wave height caused by the cold wave reaches 3.46 m, showing significant spatial differences across profiles, but all below the critical elevation of the intertidal top. This water-level-topography coupling effect keeps the upper intertidal zone in a super-sedimentation zone, creating a systematic erosion environment |
|
参考文献:
|
[1] DONNELLY C, KRAUS N, LARSON M. State of knowledge on measurement and modeling of coastal overwash[J]. Journal of Coastal Research, 2006, 224(4):965-991. [2] QI H S, CAI F, LEI G, et al. The response of three main beach types to tropical storms in South China[J]. Marine Geology, 2010,275(1-4):244-254. [3] 邢浩,张丽丽,李华庆,等.基于砂质海岸剖面形态数值模拟的参数敏感度分析[J]. 海洋科学, 2022, 46(9):36-45.XING H, ZHANG L L, LI H Q, et al. Parameter sensitivity analysis based on numerical simulation of sandy coast profile[J]. Marine Sciences, 2022, 46(9):36-45. [4] 尹航,戚洪帅,蔡锋,等.高分影像砂质海岸线精细提取及校正方法[J]. 海洋学报, 2022, 44(4):143-152.YIN H, QI H S, CAI F, et al. Sandy coastline fine extraction and correction method based on high resolution image[J]. Haiyang Xuebao, 2022, 44(4):143-152. [5] HAERENS P, BOLLE A, TROUW K, et al. Definition of storm thresholds for significant morphological change of the sandy beaches along the Belgian coastline[J]. Geomorphology, 2012, 143-144:104-117. [6] 郭俊丽,时连强,陈沈良,等.台风季节朱家尖岛砂、砾质岬湾海滩的不同沉积地貌动态变化[J]. 热带海洋学报, 2022, 41(4):82-96.GUO J L, SHI L Q, CHEN S L, et al. Dynamic variations of different sedimentary geomorphology of sandy and gravel embayed beaches on the Zhujiajian Island during typhoon season[J]. Journal of Tropical Oceanography, 2022, 41(4):82-96. [7] 范荣山.沙丘海岸侵蚀的数值模拟[D]. 大连:大连理工大学,2018.FAN R S. Numerical investigation of the erosion of coastal sand dune[D]. Dalian:Dalian University of Technology, 2018. [8] CLAUDINO-SALES V, WANG P, HORWITZ M H. Factors controlling the survival of coastal dunes during multiple hurricane impacts in 2004 and 2005:Santa Rosa barrier island, Florida[J]. Geomorphology, 2008, 95(3-4):295-315. [9] 莫冬雪.中国近海寒潮影响下的灾害性海洋动力环境研究[D]. 青岛:中国科学院大学(中国科学院海洋研究所), 2018.MO D X. Study on disastrous ocean dynamical environment under the influence of cold waves in the northern East China Sea[D]. Qingdao:University of Chinese Academy of Sciences(Institute of Oceanology, Chinese Academy of Sciences), 2018. [10] 刘森,王盼盼,朱滢,等.健康中国视角下山东半岛海洋景观生态康养文化旅游发展研究[J]. 建筑与文化, 2020(9):225-226.LIU S, WANG P P, ZHU Y, et al. Research on the development of marine landscape ecological health culture tourism in Shandong peninsula from the perspective of healthy China[J]. Architecture&Culture, 2020(9):225-226. [11] 孙文郡,范博渊,黎栩霞,等.基于Delft3D模型对深圳湾近岸海域污染物迁移模拟[J]. 海河水利, 2024(3):22-30.SUN W J, FAN B Y, LI X X, et al. Simulation of pollutant migration in the coastal area of Shenzhen bay based on Delft3D model[J]. Haihe Water Resources, 2024(3):22-30. [12] 张炜,胡乐,钱启蒙,等.基于Delft3D的苏州市渭塘镇河道水动力水质模拟[J]. 水利水电科技进展, 2023, 43(6):96-102.ZHANG W, HU L, QIAN Q M, et al. Simulation of hydrodynamics and water quality for Weitang Town river network in Suzhou based on Delft3D[J]. Advances in Science and Technology of Water Resources, 2023, 43(6):96-102. [13] 陈大喜,黄君宝,刘旭,等.岬湾沙滩地貌对台风响应的数值模拟研究[J]. 浙江水利科技, 2024, 52(3):31-37.CHEN D X, HUANG J B, LIU X, et al. Numerical study of geomorphologic evolution induced by typhoon in embayed beach[J]. Zhejiang Hydrotechnics, 2024, 52(3):31-37. [14] 林宇强.广西典型砂质海岸侵蚀过程与动力研究[D]. 南宁:广西大学, 2024.LIN Y Q. Research on the erosion process and dynamics of typical sandy coastal in Guangxi[D]. Nanning:Guangxi University, 2024. [15] 胡鹏鹏.广东海滩裂流特征与数值模拟研究[D]. 湛江:广东海洋大学, 2023.HU P P. Study on characteristics and numerical simulation of rip current in the Guangdong province[D]. Zhanjiang:Guangdong Ocean University, 2023. [16] 周嬴涛,何俊彪,朱钰,等.“圆规”台风后海口铺前湾沙滩恢复效率与主控因素研究[J]. 应用海洋学学报, 2024, 43(3):554-564.ZHOU Y T, HE J B, ZHU Y, et al. Recovery efficiency and leading factor of sandy beach in Puqian Bay after Typhoon Kompasu[J]. Journal of Applied Oceanography, 2024, 43(3):554-564. [17] 胡鹏鹏,李志强,朱道恒,等.基于XBeach模型的深圳金沙湾裂流的数值模拟[J]. 海洋学报, 2022, 44(4):122-133.HU P P, LI Z Q, ZHU D H, et al. Numerical simulation of rip current in Jinsha Bay, Shenzhen based on XBeach model[J]. Haiyang Xuebao, 2022, 44(4):122-133. [18] 朱磊,刘会欣.基于Delft3D模型的风暴潮增减水模拟研究--以“9711”号台风为例[J]. 海洋湖沼通报, 2018(5):1-10.ZHU L, LIU H X. A numerical simulation of storm surge with Delft3D model:a case study of typhoon Winnie[J]. Transactions of Oceanology and Limnology, 2018(5):1-10. [19] 张旭日.基于监测与数值模拟的潍坊河流氮源对莱州湾氮含量的影响研究[D]. 烟台:鲁东大学, 2024.ZHANG X R. Study on the impact of nitrogen sources from Weifang river on the nitrogen content in Laizhou bay based on monitoring and numerical simulation[D]. Yantai:Ludong University, 2024. [20] 邢浩.风暴潮作用下楮岛沙滩侵蚀监测与数值模拟研究[D]. 烟台:鲁东大学, 2024.XING H. Monitoring and numerical simulation study of Chudao beach erosion under storm surge conditions[D]. Yantai:Ludong University, 2024. |
|
服务与反馈:
|
|
【文章下载】【发表评论】【查看评论】【加入收藏】
|
|
|