Seawater space temperature profile reconstruction method and system

Abstract

The invention discloses a reconstruction method and system for a seawater space temperature profile, and the method comprises the steps: carrying out the principal component analysis of temperature profile data in a pre-established historical data set, and obtaining an average temperature profile and an empirical orthogonal function; selecting a plurality of depth values, and calculating a coefficient of a K-order empirical orthogonal function according to the temperature profile data of the selected depth values in combination with the average temperature profile and the empirical orthogonal function; according to the coefficient of the K-order empirical orthogonal function, reconstructing the temperature profile data in the historical data set by combining the empirical orthogonal function, and selecting an optimal drag measurement depth value according to a mean root mean square error minimum principle; dragging measurement is carried out on the measuring line of the optimal dragging measurement depth value, and a temperature profile measurement value of the depth value is obtained; and obtaining temperature profile space distribution by combining a temperature profile measurement value with an empirical orthogonal function. According to the method, used equipment is simple, the measurement cost is low, and the space measurement efficiency is high.

Description

technical field [0001] The invention relates to the field of hydroacoustic physics, in particular to a method and system for reconstructing a seawater space temperature profile. Background technique [0002] A large number of multi-scale dynamic processes in the ocean will cause uneven distribution of seawater parameters in time and space, and the resulting uncertainty in the marine environment is important for underwater sound field research, sonar performance, target positioning, and communication and navigation. Therefore, capturing the uncertainty of marine environmental profiles has become a hot topic in hydroacoustics research. The dynamic process in the ocean mainly depends on the distribution of the speed of sound in the sea and affects the propagation of sound energy. Among the three parameters of temperature, salinity and depth that determine the speed of sound in the sea, the most uncertain marine environmental parameter is the temperature in the sea. Therefore, ...

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Problems solved by technology

The fixed-point measurement of the sound velocity profile can be realized by using temperature chains, temperature-salinity profilers (CTD) and other equipment, but their spatial measurement efficiency is low and the coverage is limited, and it is difficult to meet the large-scale measurement requirements comparable to the sonar range; the disposable temperature-depth Disposable measuring equipment such as XBT can realize on-line temperature profile measurement, but it needs to be placed intensively to obtain accurate spatial temperature profile changes, and because the equipment is not recyclable, the measurement cost is high

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