A Filtering Calculation Method for Vertical Water Temperature Monitoring Data

Abstract

The invention discloses a filter calculation method for vertical water temperature monitoring data, comprising the following steps: A. obtaining the minimum envelope of the vertical water temperature measured data; B. obtaining the maximum envelope of the vertical water temperature measured data; The envelope and the maximum envelope obtain the water temperature correction curve; D. obtain the minimum envelope of the water temperature correction curve in step C as the updated minimum envelope; E. obtain the maximum envelope of the water temperature correction curve in step C as the updated maximum envelope; F. cyclically execute steps C to E at least once; G. calculate filtered and corrected water temperature monitoring data according to the updated minimum envelope and maximum envelope. The invention can eliminate abnormal data fluctuations such as temperature inversion layers, and ensure that the vertical water temperature monitoring data after filtering and calculation increases monotonously, retains the characteristics of thermocline layers, and restores the actual distribution characteristics of water temperature.

Description

technical field [0001] The invention belongs to the field of correction of vertical water temperature monitoring data in the engineering field, and in particular relates to a filtering calculation method of vertical water temperature monitoring data. Background technique [0002] Vertical water temperature monitoring is an important link in the water temperature monitoring work, and the measured vertical water temperature distribution data is also an important data for analyzing the water temperature structure of the reservoir. [0003] Existing vertical water temperature monitoring instruments can be divided into multiple types such as temperature chains and optical fibers. Limited by the stability and accuracy of the measurement data of the monitoring instruments, the vertical water temperature monitoring data often has unreasonable data fluctuations along the vertical direction, and even when the water temperature exceeds 4°C, a temperature inversion layer as high as 10m ...

AI Technical Summary

Problems solved by technology

At the same time, the distribution curve of water temperature along the elevation is complex in shape, including isothermal distribution, single thermocline distribution, double thermocline distribution, etc. It is difficult to describe the characteristics of water temperature distribution curve with common mathematical equations, and common filtering algorithms cannot ensure corrected water temperature monitoring data Monotonically increasing and retaining thermocline distribution characteristics

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