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Comparing measurement correction of echo sounder in shallow-water area

Abstract

Error correction of echo sounder is very important for the accurate measurement of water-depth in shallow-water area. There are some issues in measuring the water depth, they are accuracy, resolution, inaccurate beamwidth of transmit and can be solved by the existing methodologies. In this article, comparing measurement is an efficient method for error correction of echo sounder. The most commonly used comparing methods are sounding poles, plumb-lines and thermohaline methods. However, the sounding poles method can only measure the water-depth less than 5 m as its limited by the length of measuring poles; the plumb-lines method cannot guarantee the accuracy of water-depth value as its difficult to determine whether the plumb-line falls vertically onto the water floor or into the underwater sediment; the thermohaline methods is time-consuming as its need lots of the temperature and salinity information for the correction of sound velocity. Based on these knowledge and experience, we put forward a comparator for comparing measurement of water-depth, which could adjust sound velocity of echo sounder for precisely measure actual water-depth of the survey area without complicated thermohaline correction work. The comparator method has practical implications for the quick error correction of echo sounder survey in shallow-water area. The experimental results predict that the mistakes are easily caused by the complicated correction work which can be avoided and establishes that the water-depth measurement is more efficient.

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Data Availability

All data generated or analyzed during this study are included in the manuscript.

References

  • Bu X, Mei S, Yang F, Luan Z, Xu F, Luo Y (2021) A precise method to calibrate dynamic integration errors in shallow-and deep-water multibeam bathymetric data. IEEE Trans Geosci Remote Sens

  • Designing Institute of Water Transport Planning of Ministry of Transport (1987) Port Engineering Technical Specification 1987, vol 1988. Beijing: People's Communications Press, p 204

  • Dewi RS, Rizaldy A (2021) Accuracy assessment of satellite derived bathymetry model for depth extraction in sorong shallow water area. In: IOP conference series: earth and environmental science, vol 925, no. 1. IOP Publishing, p. 012053

  • Gao JH, Shi Y, Sheng H et al (2019) Rapid response of the Changjiang (Yangtze) River and East China Sea source-to-sink conveying system to human induced catchment perturbations. Mar Geol 414:1–17

    Article  Google Scholar 

  • Jiang SY (2008) Comparator of water depth measurement: China, ZL (20204755.3. 2008-02-02)

  • Jiang C, Pan S, Chen S (2017) Recent morphological changes of the Yellow River (Huanghe) submerged delta: causes and environmental implications. Geomorphology 293:93–107

    Article  Google Scholar 

  • Li G, Xu K, Xue Z G et al (2020) Hydrodynamics and sediment dynamics in Barataria Bay, Louisiana, USA. Estuarine Coastal and Shelf Science, p 249

  • Lu X, Feng C, Ma Y et al (2019) Calibration method of rotation and displacement systematic errors for ship-borne mobile surveying systems. Surv Rev 51(364):78–86

    Article  Google Scholar 

  • Menandro PS, Bastos AC (2020) Seabed mapping: a brief history from meaningful words. Geosciences (switzerland) 10(7):273

    Google Scholar 

  • Patel A, Katiyar SK, Prasad V (2021) Bathymetric mapping for shallow water using landsat 8 via artificial neural network technique. In: Recent trends in civil engineering. Springer, Singapore, pp. 717–733

  • Picard K, Brooke BP, Harris PT et al (2018) Malaysia airlines flight MH370 search data reveal geomorphology and seafloor processes in the Remote Southeast Indian Ocean. Mar Geol 395:301–319

    Article  Google Scholar 

  • Rajput P, Ramakrishnan R, Francis S, Thomaskutty AV, Agrawal R, Rajawat AS (2021) Investigating shallow water bottom feature using SAR data along Gulf of Khambhat, India. Remote Sens Appl Soc Environ 23:100592

    Google Scholar 

  • Ranndal H, Sigaard Christiansen P, Kliving P, Baltazar Andersen O, Nielsen K (2021) Evaluation of a statistical approach for extracting shallow water bathymetry signals from ICESat-2 ATL03 photon data. Remote Sensing 13(17):3548

    Article  Google Scholar 

  • Yang L, Liu F, Gong W et al (2019) Morphological response of Lingding Bay in the Pearl River Estuary to human intervention in recent decades. Ocean Coast Manag 176:1–10

    Article  Google Scholar 

Download references

Funding

This work was supported by the Marine economic development project of Guangdong Province (GDNRC[2020]050).

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Authors

Contributions

ZZ, SJ and WZ contributed to the design and methodology of this study, the assessment of the outcomes and the writing of the manuscript.

Corresponding author

Correspondence to Weizhu Zeng.

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Conflict of interest

There is no conflict of interest among the authors.

Ethical Statement

This paper complies with the ethical standards of research and methodology.

Additional information

Edited by Dr. Elena Verdu (GUEST EDITOR) / Prof. Gabriela Fernández Viejo (CO-EDITOR-IN-CHIEF).

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Zheng, Z., Jiang, S. & Zeng, W. Comparing measurement correction of echo sounder in shallow-water area. Acta Geophys. 70, 1677–1686 (2022). https://doi.org/10.1007/s11600-022-00802-x

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  • DOI: https://doi.org/10.1007/s11600-022-00802-x

Keywords

  • Echo sounder
  • Comparing measurement
  • Comparator
  • Sounding poles
  • Plumb-lines
  • Shallow-water Area
  • Sound velocity