首页 | 本学科首页   官方微博 | 高级检索  
     检索      

大深度近海底精细地形地貌探测技术
引用本文:张同伟,唐嘉陵,李正光,齐海滨,秦升杰,王向鑫.大深度近海底精细地形地貌探测技术[J].海洋测绘,2018(5):20-24.
作者姓名:张同伟  唐嘉陵  李正光  齐海滨  秦升杰  王向鑫
作者单位:国家深海基地管理中心,山东 青岛 266237 ;青岛海洋科学与技术国家实验室,山东 青岛 266237
基金项目:国家自然科学基金(41641049);青岛海洋科学与技术国家实验室开放基金(QNLM2016ORP0406);山东省自然科学基金(ZR2015EM005);山东省重点研发计划(2016GSF115006);青岛市自主创新计划(15-9-1-90-JCH);泰山学者工程专项(TSPD20161007)
摘    要:船载低频多波束测深声纳、侧扫声纳可以对深海海底地形地貌进行快速、高效、大面积探测,但其测量精度有限,难以满足深海科学考察、资源勘探开发对高精度海底地形地貌的需求。随着各类大深度水下移动载体(如深海拖体、水下机器人、遥控潜器和载人潜水器)的涌现,特别是各类耐高压测绘声纳的商业化,使大深度近海底精细地形地貌探测成为可能。首先分析了多波束测深声纳、侧扫声纳和测深侧扫声纳等3种测绘声纳的基本原理,然后分别介绍了各类测绘声纳的国内外典型商业化产品,并通过典型实例分析了其在大深度近海底精细测绘中的应用情况。

关 键 词:地形地貌测绘  水下移动载体  多波束测深声纳  侧扫声纳  测深侧扫声纳

Near Seabed Fine Topography Detection Technology in Deep Sea
ZHANG Tongwei,TANG Jialing,LI Zhengguang,QI Haibin,QIN Shengjie,WANG Xiangxin.Near Seabed Fine Topography Detection Technology in Deep Sea[J].Hydrographic Surveying and Charting,2018(5):20-24.
Authors:ZHANG Tongwei  TANG Jialing  LI Zhengguang  QI Haibin  QIN Shengjie  WANG Xiangxin
Abstract:The low-frequency multibeam sonar and sidescan sonar can carry out fast,efficient and large-scale detection for deep sea topography by surface ship,but the measurement accuracy is limited,so it is difficult to meet the demand of high precision topography for deep sea scientific investigation,resource exploration and development.With the emergence of different kinds of deep underwater moving vehicles,especially the commercialization of high pressure mapping sonars,it is possible to make near seabed fine topography detection in deep sea.In this paper,the basic principles of three kinds of sonars are analyzed,such as multibeam sonar,side scan sonar and bathymetric side scan sonar.Then,typical commercial products of various types of surveying and mapping sonars at home and abroad are discussed.Finally,through typical examples the near seabed fine topography detection technology in deep sea is analyzed.
Keywords:
本文献已被 CNKI 等数据库收录!
点击此处可从《海洋测绘》浏览原始摘要信息
点击此处可从《海洋测绘》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号