基于遥感海浪信息的近岸水深反演模型  

Nearshore Water Depth Inverting Model Based on Remote Sensing Wave Information

作　　者：李森 张文静 王岗[1] 付睿丽 LI Sen;ZHANG Wenjing;WANG Gang;FU Ruili(Key Laboratory of Ministry of Education for Coastal Disaster and Protection,Hohai University,Nanjing 210098,China;College of Meteorology and Oceanography,National University of Defense and Technology,Changsha 410072,China)

机构地区：[1]河海大学海岸灾害及防护教育部重点实验室,江苏南京210098 [2]国防科技大学气象海洋学院,湖南长沙410072

出　　处：《海洋技术学报》2023年第2期1-11,共11页Journal of Ocean Technology

基　　金：国家自然科学基金资助项目(52071128,52201319);江苏省自然科学基金资助项目(BK20220082,BK20220980)。

摘　　要：基于遥感影像的测深技术具有易获取、成本低和覆盖率大等优势,是目前的研究热点问题之一。为在波浪折射的基础上,进一步综合考虑绕射及非线性的影响,本文提出了一种基于海浪波数和波高信息的近岸水深反演模型。将模型与Berkhoff椭圆形浅滩理想试验对比,平均误差为0.13%,显著小于现有基于频散关系反演水深的方法。进一步应用模型反演三亚湾近岸地形,通过与海图对比,平均误差为11.58%,且大部分区域的误差小于10%。部分区域误差较大,主要是由于遥感影像获取的波数空间分辨率和精度较低。以上结果表明该模型可以利用遥感海浪信息较准确推算近岸水深。本文对于近岸浅海区的水深反演工作具有一定的参考价值。Bathymetry with remote sensing image has the advantages of easy access,low cost and large coverage,which is one of the hot research issues at present.In order to further consider the influence of difiraction and nonlinearity on the basis of wave refraction,a nearshore depth inversion model based on wave number and wave height is proposed in this paper.The comparison with Berkhoff elliptic shoal ideal experiment,the average error is 0.13%,which is significantly smaller than the existing methods based on dispersion relationship.The model is further applied to retrieve the nearshore topography of Sanya Bay,the average error is 11.58%,and the error is less than 10%in most areas by comparing with the chart.Large error in some regions is mainly due to the low spatial resolution and accuracy of wavenumber obtained from remote sensing images.The above results show that the model can accurately calculate the nearshore water depth by using remote sensing ocean wave information.And this study will have a certain reference value for water depth inversion in the nearshore shallow water area.

关 键 词：水深反演模型 遥感测深 拓展型缓坡方程 

分 类 号：TV221[水利工程—水工结构工程]