测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 178-182.doi: 10.13474/j.cnki.11-2246.2023.0094

• 测绘地理信息技术应用案例 • 上一篇    

多层常梯度声速剖面的测深误差改正方法

樊小涛1, 杜泽东2, 叶飞3, 郑亚慧4, 马耀昌1   

  1. 1. 长江水利委员会水文局长江上游水文水资源勘测局, 重庆 400021;
    2. 中国三峡建工(集团)有限公司, 四川 成都 610095;
    3. 武汉天宝耐特科技有限公司, 湖北 武汉 430075;
    4. 长江水利委员会水文局, 湖北 武汉 430010
  • 收稿日期:2023-01-11 发布日期:2023-04-04
  • 作者简介:樊小涛(1980-),男,高级工程师,研究方向为河道测绘、数据处理。E-mail:50430378@qq.com
  • 基金资助:
    中国长江三峡集团有限公司科研项目(JGAJ0421004)

Correction method of sounding error of multi-layer constant gradient sound velocity profile

FAN Xiaotao1, DU Zedong2, YE Fei3, ZHENG Yahui4, MA Yaochang1   

  1. 1. Bureau of Hydrology and Water Resources Survey of the Upper Yangtze River, Chongqing 400021, China;
    2. China Three Gorges Construction Engineering Corporation, Chengdu 610095, China;
    3. Wuhan TianBaoNet Technology Co., Ltd., Wuhan 430075, China;
    4. Hydrology bureau of Yangtze River Water Resources Commission, Wuhan 430010, China
  • Received:2023-01-11 Published:2023-04-04

摘要: 声速剖面(SVP)是多波束测深重要参数。为提高观测数据质量,在复杂水域地带往往通过声速剖面加密观测法或数据内插法,但始终会产生不同程度的折射误差。本文通过分析声速对测深系统的影响和构建常梯度等效声速模型进行了推导,提出了常梯度声速剖面改正模型,较好地解决了声速代替误差或声速剖面不准确带来的影响。试验结果表明,该模型后处理解析的地形边缘数据具有更好的一致性,定量成果优于传统声速剖面改正算法。

关键词: 多波束测深系统, 声速剖面改正, 多层常梯度声速剖面模型, 声线跟踪

Abstract: Sound velocity profile (SVP) is an important parameter of multibeam sounding. However, in the complex area of water, sound velocity profile is often used to encrypt observations or interpolate observations, but there are always varying degrees of refraction errors. In order to enhance the quality of observation data, it is usually corrected by post-processing method. At present, the research tends to focus on acoustic tracking algorithm and how to enhance and invert SVP quality and methods. This paper analyzes the influence of sound velocity on sounding system and deduces how to build the constant gradient equivalent sound velocity model, and puts forward the constant gradient sound velocity profile correction model, which solves the influence of sound velocity substitution error or sound velocity profile inaccuracy well. The experimental results show that the model has better consistency in the topographic edge data of post-processing analytical data, and the quantitative results are better than the traditional sound velocity profile correction algorithm.

Key words: multi-beam sounding system, sound velocity profile correction, multi-layer constant gradient sound velocity profile model, acoustic tracking

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