ADCP-based seawater flow velocity data processing method

Abstract

The invention relates to an ADCP-based seawater flow velocity data processing method. The method comprises the following steps: setting and putting an ADCP instrument; carrying out data extraction andconversion; carrying out data merging and grouping; to be specific, dividing all the converted data into a plurality of '. Mat' files numbered according to a time sequence, each file containing measurement results of all variables in a certain period of time, and needing data merging; complementing the data; and removing a data abnormal value.

Description

technical field [0001] The invention relates to the field of ocean current measurement, in particular to an ADCP-based seawater velocity data processing method. Background technique [0002] The ocean is closely related to human life. Since the beginning of the 21st century, global marine environmental problems have occurred frequently, forcing human beings to pay attention to the ocean and rationally develop marine resources. The way to study the change of marine environment is divided into field observation and numerical simulation, and the data of field observation is the basis of numerical simulation. Seawater velocity data is an important parameter for humans to study the ocean change process. The flow field distribution of seawater can reflect the topography, weather changes and water exchange capacity of the sea area to a certain extent. Therefore, accurate seawater velocity data is the basic data for studying changes in the marine environment. [0003] Acoustic D...

AI Technical Summary

Problems solved by technology

The data occupies a large amount of memory and is troublesome to use

[0005] 2. However, during the long-term measurement process, the instrument will experience short-term instability, and the data will also appear time-discontinuous

If the missing data fragments are ignored, it will have an impact on the data processing results

But it is very difficult to find the location of missing data in such a long-term series of data

[0006] 3. There is a lack of a set of corresponding standards for the determination and elimination of abnormal values ​​measured by instruments, resulting in unsatisfactory data processing results or excessive data elimination, resulting in waste

[0007] 4. From the export of ADCP raw data to the processing into usable secondary data, there is no standard process, and a clear, concise, complete and efficient processing process needs to be established

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