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Statistical Relationship Between Multibeam Backscatter, Sediment Grain Size and Bottom Currents

机译:多次反散射,沉积物粒度和底部电流之间的统计关系

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The bathymetry data and backscatter data are collected using multibeam sonar (MBES) system to recognize seafloor types was identified in the three study area coral reef, natural reef, and artificial reef. Ground truth data in using Ponar grab for collect sediment samples and ADCP in currents flow were is collected 34 stations.in the study, the relationship between backscatter, sediment grain size and bottom currents is examined using linear regression and multiple linear regressions. As a result, show that there is significant backscatter from multibeam sonar and ground truth data. In linear regression, relationship R2 backscatter with sediment is a 0.703, sediment with bottom current (speed) is a0.810 and multiple linear regression, relationship R2 backscatter, sediment and currents is a 0.709. The study provided a good relationship between backscatter, sediment and currents (speed).
机译:使用MultiBeam Sonar(MBES)系统收集的浴约定数据和反向散射数据,以识别Seafloor类型在三个研究区珊瑚礁,天然礁和人造礁中识别。采用Ponar抓取用于收集沉积物样品的地面真理数据,在电流流中收集34个站。在研究中,使用线性回归和多元线性回归来检查反向散射,沉积物粒度和底部电流之间的关系。因此,表明,来自多滨声纳和地面真理数据存在显着的反向散射。在线性回归中,沉积物的关系R2反向散射是0.703,底部电流(速度)的沉积物是A0.810和多元线性回归,关系R2反向散射,沉积物和电流是0.709。该研究提供了反向散射,沉积物和电流(速度)之间的良好关系。

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