US 2026/0266990 A1Published application

Method and system for integrated measurement of hydrological elements in high-salinity and high-sediment environment

AssigneeChina Three Gorges University

InventorsChangwen LI, Feihan LI, Yuxin XIE, Jiaqi ZHU, Haoxiong ZHAN, Zhiwei LI, Xiaolei LV, Shuyun DU, Chenxue GONG, Jiale HUANG, Sujing LIN, Rui ZHOU, Liting YANG, Yang YI, Ziye SHENG, Shijie JIN, Yujia HUANG, Ye HUANG, Ziyang ZOU

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Abstract

Provided is a method and system for integrated measurement of hydrological elements in a high-salinity and high-sediment environment. When the method is utilized to measure an underwater topography, theoretical received signal strengths of sonars are corrected using an established acoustic attenuation model and then effective signal-to-noise ratios are calculated, whereby data fusion is performed on water depth data of the sonars. Moreover, iterative optimization is performed on model parameters. High accuracy is achieved. When the method is utilized to measure a water flow velocity and a flow rate, iterative decoupling is performed based on a comprehensive sediment particle movement model to obtain a sediment particle velocity. The water flow velocity is then updated based on a difference between the measured apparent velocity and the sediment particle velocity. Once the updated water flow velocity converges, the accurate water flow rate can be calculated in combination with a discharge section area.

Claims18

Dependent claims

A method for integrated measurement of hydrological elements in a high-salinity and high-sediment environment, wherein the method is used to accurately measure an underwater topography in the high-salinity and high-sediment environment using an unmanned surface vehicle equipped with a plurality of measuring instruments and comprises:

establishing an acoustic attenuation model for a laser particle size analyzer and a multi-frequency sonar group carried by the unmanned surface vehicle, wherein the multi-frequency sonar group comprises a plurality of sonars with different frequencies;
and the acoustic attenuation model is configured to characterize respective attenuations of acoustic waves emitted by the sonars with different frequencies at different sediment concentrations;
correcting theoretical received signal strengths of the sonars using the acoustic attenuation model and an acoustic wave propagation distance, thereby obtaining corrected theoretical received signal strengths of the sonars;
performing time synchronization and space registration on water depth data of the sonars, and calculating effective signal-to-noise ratios of the sonars based on the corrected theoretical received signal strengths of the sonars;
performing data fusion on the water depth data of the sonars by using a dynamic weight fusion algorithm based on the effective signal-to-noise ratios of the sonars so as to obtain fused water depth data, wherein the water depth data is water depth data measured after calibrating velocities of the acoustic waves emitted by the sonars with a salinity, a water temperature, and a turbidity;
and
performing iterative optimization on parameters of the acoustic attenuation model using an inversion method based on residual minimization according to residual values between actual received signal strengths and the theoretical received signal strengths of the sonars, thereby achieving dynamic parameter adjustment in a complex environment where the salinity and the sediment concentration change dynamically.

4 more elements

A method for integrated measurement of hydrological elements in a high-salinity and high-sediment environment, wherein the method is used to accurately measure a water flow velocity and a flow rate in the high-salinity and high-sediment environment using an unmanned surface vehicle equipped with a plurality of measuring instruments and comprises:

aligning timestamps and spatial positions of the plurality of measuring instruments carried by the unmanned surface vehicle to achieve time synchronization and space registration of various types of measurement data, wherein the measuring instruments carried by the unmanned surface vehicle comprise an electromagnetic flow meter, a radar current meter, a laser particle size analyzer, and a corrosion-resistant acoustic Doppler current profiler;
iteratively decoupling a sediment particle velocity according to a water flow velocity measured by the electromagnetic flow meter and based on a comprehensive sediment particle movement model to obtain the sediment particle velocity;
calculating an updated water flow velocity based on an apparent velocity measured by the corrosion-resistant acoustic Doppler current profiler and the sediment particle velocity;
determining whether the updated water flow velocity converges based on a comparison of a difference between the updated water flow velocity and a surface flow velocity measured by the radar current meter with a water flow velocity error threshold;
if the updated water flow velocity does not converge, optimizing parameters of the comprehensive sediment particle movement model, and iteratively decoupling the sediment particle velocity according to the water flow velocity measured by the electromagnetic flow meter and based on the comprehensive sediment particle movement model to obtain the sediment particle velocity;
and
if the updated water flow velocity converges, correcting the water flow velocity based on the measured salinity, and calculating a water flow rate based on the corrected water flow velocity with the salinity and a discharge section area.

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Dependencies are inferred from the claim text.