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台湾浅滩多尺度沙波地貌的地形傅里叶分解
引用本文:朱超,吴自银,周洁琼,阳凡林,赵荻能,刘洋,鲁号号. 台湾浅滩多尺度沙波地貌的地形傅里叶分解[J]. 海洋学报, 2019, 41(9): 136-144. DOI: 10.3969/j.issn.0253-4193.2019.09.013
作者姓名:朱超  吴自银  周洁琼  阳凡林  赵荻能  刘洋  鲁号号
作者单位:山东科技大学测绘科学与工程学院,山东青岛266590;自然资源部第二海洋研究所,浙江杭州310012;国家海洋局海底科学重点实验室,浙江杭州310012;浙江大学海洋学院,浙江舟山316021;自然资源部第二海洋研究所,浙江杭州310012;国家海洋局海底科学重点实验室,浙江杭州310012;浙江大学海洋学院,浙江舟山316021;浙江大学地球科学学院,浙江杭州310027;自然资源部第二海洋研究所,浙江杭州310012;国家海洋局海底科学重点实验室,浙江杭州310012;浙江大学地球科学学院,浙江杭州310027;山东科技大学测绘科学与工程学院,山东青岛,266590;自然资源部第二海洋研究所,浙江杭州310012;国家海洋局海底科学重点实验室,浙江杭州310012;自然资源部第二海洋研究所,浙江杭州310012;国家海洋局海底科学重点实验室,浙江杭州310012;南京大学地理与海洋科学学院,江苏南京210023
基金项目:国家自然科学基金(41830540,41476049);公益性科研院所基本科研业务费专项资金重点项目(JZ1902);卫星海洋环境动力学国家重点实验室自主项目(SOEDZZ1802);科技基础性工作专项(2013FY112900);全球变化与海气相互作用专项(GASI-EOGE-01)。
摘    要:海底沙波在全球广泛分布、成因复杂,但往往多种尺度的沙波叠加在一起形成复杂的沙波地貌体系,导致难以进行量化研究。针对该问题,本文提出一种实用的傅里叶分析方法,设计了巴特沃斯滤波器,将水深数据变换到频率域,进而将复杂沙波地貌分解成不同频率的单一类型沙波。并以台湾浅滩复杂的沙波地貌体系为例进行了分析研究,分解量化出3种空间尺度的沙波:巨型沙波(波长>100 m,波高>5 m)、中型沙波(波长5~100 m,波高0.4~5 m)和沙波纹(波长<5 m,波高<0.4 m)。本文提出的海底沙波地貌量化分析方法,有助于研究不同尺度海底沙波的成因与机理,对沙波区海洋工程的安全评估也具有实用价值。

关 键 词:海底沙波  傅里叶分析  多尺度分解  台湾浅滩  多波束测深
收稿时间:2018-10-29
修稿时间:2019-03-18

Fourier decomposition of multi-scale sand wave fields on the Taiwan Banks
Zhu Chao,Wu Ziyin,Zhou Jieqiong,Yang Fanlin,Zhao Dineng,Liu Yang and Lu Haohao. Fourier decomposition of multi-scale sand wave fields on the Taiwan Banks[J]. Acta Oceanologica Sinica (in Chinese), 2019, 41(9): 136-144. DOI: 10.3969/j.issn.0253-4193.2019.09.013
Authors:Zhu Chao  Wu Ziyin  Zhou Jieqiong  Yang Fanlin  Zhao Dineng  Liu Yang  Lu Haohao
Affiliation:1.College of Geomrtics, Shandong University of Science and Technology, Qingdao 266590, China2.Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China3.Key Laboratory of the Submarine Geosciences, State Oceanic Administration, Hangzhou 310012, China4.Ocean College, Zhejiang University, Zhoushan 316021, China5.School of Earth Sciences, Zhejiang University, Hangzhou 310027, China6.School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
Abstract:Sand waves are widely distributed in the world and have complex genesis. And multi-scale complex sand waves often overlap to form a complex sand wave geomorphology system, which makes it difficult to conduct quantitative research. To solve this problem, a practical Fourier analysis method is proposed in this paper, and Butterworth filter is designed to transform water depth data into frequency domain, and then decompose complex sand wave geomorphology into a series of single types of sand waves in different frequencies. Taking the complex sand wave geomorphology system of Taiwan Banks as an example, three spatial scales of sand waves are quantitatively decomposed, which are:giant sand waves (over 100 m in length, over 5 m in height), medium sand waves (wavelength of 5-100 m, wave height of 0.4-5 m) and sand ripples (wavelength less than 5 m, wave height less than 0.4 m). The quantitative analysis method of sand waves proposed in this paper is helpful to study the genesis and mechanism of sand waves in different scales, and is also of practical value to the safety assessment of marine engineering in sand wave fields.
Keywords:submarine sand waves  Fourier analysis  multi-scale decomposition  Taiwan Banks  multi-beam echo sounding
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