通过现场数据和数值模拟评估“Phethai”气旋期间印度东海岸海滩形态变化

IF 2 4区 地球科学 Q2 GEOCHEMISTRY & GEOPHYSICS Marine Geodesy Pub Date : 2023-04-27 DOI:10.1080/01490419.2023.2200043
V. Noujas, R. S. Kankara, B. Rajan
{"title":"通过现场数据和数值模拟评估“Phethai”气旋期间印度东海岸海滩形态变化","authors":"V. Noujas, R. S. Kankara, B. Rajan","doi":"10.1080/01490419.2023.2200043","DOIUrl":null,"url":null,"abstract":"Abstract Episodic extreme waves caused by cyclones can have catastrophic consequences for coastal zones, including drastic beach morphology changes. The present study analyzed the beach morphological changes from Kakinada to Konapapapeta on the southeast coast of India before, during, and after the tropical cyclone Phethai using field survey and numerical modeling. Beach profiles were collected using Trimble RTK GPS and shoreline tracking was performed with handheld GPS. Numerical modeling was carried out using MIKE software to estimate the sediment transport rate before, during, and after the cyclone. Although the intensity of the cyclone reduced to a deep depression before landfall, several morphological changes were observed. Erosion was higher in the northern sector, where the beach width was less, and prominent scarps were seen throughout this region after the cyclone. The inundation varied from 40 to 120 m during the cyclone due to a storm surge of 0.5 to 1 m. During the cyclone, significant wave heights reached up to 4 m. The gross sediment transport rate is 3 to 13 times greater during the cyclone period than during the non-cyclone period. The maximum gross sediment transport rate during the Phethai cyclone was 1040 m3/day. Sediment transport was estimated for the same site for the non-cyclone year 2019, and the gross transport rate was 26,174 m3. As it is projected that extreme events are likely to increase due to climate change, output from this type of study is vital to environmental managers to assess erosion and develop long-term mitigation plans.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of beach morphological changes in the east coast of India during cyclone Phethai, through field data and numerical modeling\",\"authors\":\"V. Noujas, R. S. Kankara, B. Rajan\",\"doi\":\"10.1080/01490419.2023.2200043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Episodic extreme waves caused by cyclones can have catastrophic consequences for coastal zones, including drastic beach morphology changes. The present study analyzed the beach morphological changes from Kakinada to Konapapapeta on the southeast coast of India before, during, and after the tropical cyclone Phethai using field survey and numerical modeling. Beach profiles were collected using Trimble RTK GPS and shoreline tracking was performed with handheld GPS. Numerical modeling was carried out using MIKE software to estimate the sediment transport rate before, during, and after the cyclone. Although the intensity of the cyclone reduced to a deep depression before landfall, several morphological changes were observed. Erosion was higher in the northern sector, where the beach width was less, and prominent scarps were seen throughout this region after the cyclone. The inundation varied from 40 to 120 m during the cyclone due to a storm surge of 0.5 to 1 m. During the cyclone, significant wave heights reached up to 4 m. The gross sediment transport rate is 3 to 13 times greater during the cyclone period than during the non-cyclone period. The maximum gross sediment transport rate during the Phethai cyclone was 1040 m3/day. Sediment transport was estimated for the same site for the non-cyclone year 2019, and the gross transport rate was 26,174 m3. As it is projected that extreme events are likely to increase due to climate change, output from this type of study is vital to environmental managers to assess erosion and develop long-term mitigation plans.\",\"PeriodicalId\":49884,\"journal\":{\"name\":\"Marine Geodesy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine Geodesy\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/01490419.2023.2200043\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Geodesy","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/01490419.2023.2200043","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

由气旋引起的偶发极端海浪会对沿海地区造成灾难性的后果,包括剧烈的海滩形态变化。本文采用野外调查和数值模拟的方法,分析了热带气旋“Phethai”之前、期间和之后印度东南沿海Kakinada至Konapapapeta海滩的形态变化。使用Trimble RTK GPS收集海滩剖面,使用手持式GPS进行海岸线跟踪。利用MIKE软件进行数值模拟,估算气旋发生前、发生中、发生后的输沙率。虽然气旋的强度在登陆前已降至低气压,但仍观察到若干形态变化。飓风过后,北部地区的侵蚀程度较高,海滩宽度较小,整个地区都有明显的陡坡。台风期间,由于风暴潮0.5至1米,淹没范围在40至120米之间。气旋期间,显著浪高高达4米。气旋期的总输沙率是非气旋期的3 ~ 13倍。Phethai气旋期间最大输沙量为1040 m3/d。估算了2019年非气旋年同一地点的输沙量,总输沙量为26174 m3。由于预计极端事件可能因气候变化而增加,这类研究的产出对于环境管理者评估侵蚀和制定长期缓解计划至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Assessment of beach morphological changes in the east coast of India during cyclone Phethai, through field data and numerical modeling
Abstract Episodic extreme waves caused by cyclones can have catastrophic consequences for coastal zones, including drastic beach morphology changes. The present study analyzed the beach morphological changes from Kakinada to Konapapapeta on the southeast coast of India before, during, and after the tropical cyclone Phethai using field survey and numerical modeling. Beach profiles were collected using Trimble RTK GPS and shoreline tracking was performed with handheld GPS. Numerical modeling was carried out using MIKE software to estimate the sediment transport rate before, during, and after the cyclone. Although the intensity of the cyclone reduced to a deep depression before landfall, several morphological changes were observed. Erosion was higher in the northern sector, where the beach width was less, and prominent scarps were seen throughout this region after the cyclone. The inundation varied from 40 to 120 m during the cyclone due to a storm surge of 0.5 to 1 m. During the cyclone, significant wave heights reached up to 4 m. The gross sediment transport rate is 3 to 13 times greater during the cyclone period than during the non-cyclone period. The maximum gross sediment transport rate during the Phethai cyclone was 1040 m3/day. Sediment transport was estimated for the same site for the non-cyclone year 2019, and the gross transport rate was 26,174 m3. As it is projected that extreme events are likely to increase due to climate change, output from this type of study is vital to environmental managers to assess erosion and develop long-term mitigation plans.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Marine Geodesy
Marine Geodesy 地学-地球化学与地球物理
CiteScore
4.10
自引率
6.20%
发文量
27
审稿时长
>12 weeks
期刊介绍: The aim of Marine Geodesy is to stimulate progress in ocean surveys, mapping, and remote sensing by promoting problem-oriented research in the marine and coastal environment. The journal will consider articles on the following topics: topography and mapping; satellite altimetry; bathymetry; positioning; precise navigation; boundary demarcation and determination; tsunamis; plate/tectonics; geoid determination; hydrographic and oceanographic observations; acoustics and space instrumentation; ground truth; system calibration and validation; geographic information systems.
期刊最新文献
Antarctic ice surface properties inferred from Ka and Ku band altimeter waveforms Seafloor Topography Recovery Using the Observation Data of Tiangong-2 Interferometric Imaging Radar Altimeter Adversarial enhancement generation method for side-scan sonar images based on DDPM–YOLO Utilizing Elephant Herd-Inspired Spiking Neural Networks for Enhanced Ship Detection and Classification in Marine Scene Matching Special issue of Marine Geodesy on Remote Sensing of Islands, Reefs, and Coastal Zones
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1