Ice lake temperature gradient measuring system and method

Abstract

The invention discloses an ice lake temperature gradient measurement system and method, and relates to the field of water body temperature measurement, and the system comprises a buoy, a steel wire rope, a plurality of temperature sensors, a balancing weight, a surface temperature measurement module, an environment meteorological measurement module and a data processing module. The buoy is arranged on the water surface of the ice lake, the balancing weight is arranged at the water bottom of the ice lake, one end of the steel wire rope is connected with the buoy, the other end of the steel wire rope is connected with the balancing weight, and the temperature sensors are arranged on the steel wire rope at equal intervals. The surface temperature measurement module and the environment meteorological measurement module are arranged in the buoy. According to the invention, long-term stable measurement of the whole structure can be realized, and multi-level temperature gradient continuous monitoring can be realized.

Description

Technical Field

[0001] The present application relates to the field of water temperature measurement, and in particular to a system and method for measuring the temperature gradient of an ice lake. Background Art

[0002] Accurately measuring and monitoring water temperature gradients is crucial in fields such as glacial lake ecology research, climate change monitoring, and water resource management. Existing measurement devices often only perform single-point measurements or measurements at limited depths, lacking the ability to continuously monitor temperature gradients across multiple layers of water. During long-term monitoring, these devices are prone to drift, displacement, and poor structural stability, significantly impacting data accuracy and reliability. Summary of the Invention

[0003] The purpose of this application is to provide a glacial lake temperature gradient measurement system and method, which can measure the temperature data of different water layers in real time with high accuracy.

[0004] To achieve the above objectives, this application provides the following solutions.

[0005] In a first aspect, the present application provides a glacial lake temperature gradient measurement system, comprising: a buoy, a steel wire rope, a plurality of temperature sensors, a counterweight, a surface temperature measurement module, an environmental meteorological measurement module, and a data processing module; The buoy is set on the water surface of the ice lake, the counterweight is set on the bottom of the ice lake, one end of the steel wire rope is connected to the buoy, and the other end of the steel wire rope is connected to the counterweight, a plurality of temperature sensors are set on the steel wire rope at equal intervals, and the surface temperature measurement module and the environmental weather measurement module are set inside the buoy; Multiple temperature sensors are used to measure water temperature data in different water layers; The environmental meteorological measurement module is used to measure environmental meteorological data; The surface temperature measurement module is used to measure the surface temperature data of the ice lake; The data processing module is respectively connected to multiple temperature sensors, an environmental meteorological measurement module and a surface temperature measurement module, and is used to measure the correlation between water body temperature data and environmental meteorological data using the Pearson correlation coefficient, and to quantify the impact of environmental meteorological data on water body temperature data and surface temperature data.

[0006] In a second aspect, the present application provides a method for measuring the temperature gradient of an ice lake. The method for measuring the temperature gradient of an ice lake applies the above-mentioned lake temperature gradient measurement system. The method for measuring the temperature gradient of an ice lake includes: Obtain water temperature data of different water layers, environmental meteorological data and surface temperature data of glacial lakes; The Pearson correlation coefficient was used to measure the correlation between water temperature data and environmental meteorological data; Quantify the impact of ambient meteorological data on water body temperature data and surface temperature data.

[0007] According to the specific embodiments provided in this application, this application has the following technical effects.

[0008] (1) The upper and lower combined structure of the buoy and the counterweight can achieve long-term stable measurement of the overall structure, thereby improving the accuracy and reliability of the data.

[0009] (2) Multiple temperature sensors are evenly distributed along the longitudinal direction of the wire rope to measure the water temperature data of different water layers, which can realize continuous monitoring of multi-level temperature gradients.

[0010] (3) The multivariate regression model is used to quantify the impact of environmental meteorological data on water temperature data and surface temperature data, which can fully understand the impact of environmental factors on water temperature changes and further improve the reliability and scientific nature of data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0012] Figure 1 This is a schematic structural diagram of a glacial lake temperature gradient measurement system provided in one embodiment of the present application.

[0013] Figure 2 A schematic flow chart of a method for measuring the temperature gradient of an ice lake provided in one embodiment of the present application. DETAILED DESCRIPTION

[0014] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0015] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0016] In an exemplary embodiment, Figure 1As shown, a glacial lake temperature gradient measurement system is provided, comprising: a buoy 1, a steel wire rope 2, a plurality of temperature sensors 3, a counterweight 4, a surface temperature measurement module, an environmental meteorological measurement module and a data processing module. The surface temperature measurement module, the environmental meteorological measurement module and the data processing module are not shown in FIG. Figure 1 Shown in.

[0017] The buoy 1 is set on the water surface of the ice lake, the counterweight block 4 is set on the bottom of the ice lake, one end of the steel wire rope 2 is connected to the buoy 1, and the other end of the steel wire rope 2 is connected to the counterweight block 4. Multiple temperature sensors 3 are evenly spaced on the steel wire rope 2, and the surface temperature measurement module and the environmental meteorological measurement module are set inside the buoy 1.

[0018] The multiple temperature sensors 3 are used to measure the water temperature data of different water layers; the environmental meteorological measurement module is used to measure the environmental meteorological data (wind speed, atmospheric temperature and air pressure); and the surface temperature measurement module is used to measure the surface temperature data of the ice lake.

[0019] The data processing module is connected to the multiple temperature sensors 3, the ambient weather measurement module, and the surface temperature measurement module, and is used to measure the correlation between water body temperature data and ambient weather data using the Pearson correlation coefficient, and to quantify the impact of ambient weather data on water body temperature data and surface temperature data using a multivariate regression model. This allows a comprehensive understanding of the impact of environmental factors on water body temperature changes, further improving the reliability and scientific nature of data analysis.

[0020] In this embodiment, the buoy 1 is made of antifreeze material and has the characteristics of anti-freezing and anti-low temperature, ensuring that the buoy 1 is not easily damaged in an ice lake environment and can stably provide buoyancy.

[0021] In this embodiment, the steel wire rope 2 is made of corrosion-resistant and high-strength material to ensure that it will not break or corrode during long-term use in an underwater environment.

[0022] In this embodiment, the temperature sensor 3 is a high-precision sensor, and each sensor is provided with an antifreeze protective cover to ensure normal operation in an extremely low temperature environment.

[0023] In this embodiment, the counterweight 4 is made of high-density material to ensure that the entire system is placed vertically and remains stable, thereby reducing the impact of environmental interference on the measurement data.

[0024] In this embodiment, the surfaces of buoy 1 and wire rope 2 are coated with special anti-icing materials and anti-freeze coatings to ensure that the system will not freeze or be damaged in freezing conditions. In addition, an anti-icing sleeve structure is added to wire rope 2 to effectively prevent ice from affecting sensor data collection and the stable operation of the entire measurement system.

[0025] In this embodiment, the environmental meteorological measurement module includes: a wind speed sensor for measuring wind speed, an atmospheric temperature sensor for measuring atmospheric temperature, and an air pressure sensor for measuring air pressure.

[0026] The glacial lake temperature gradient measurement system provided in this embodiment achieves long-term stable measurement through the vertical combination of a buoy 1 and a counterweight 4. The evenly spaced attachment of multiple temperature sensors 3 on the wire rope 4, along with its anti-freeze protection design, ensures overall structural stability and high-precision, continuous measurement in glacial lake environments.

[0027] The above-mentioned ice lake temperature gradient measurement system provided in this embodiment realizes stable, multi-level continuous monitoring of temperature gradients in the ice lake water body, solves the problems of easy equipment drift and inaccurate measurement data in traditional methods, and has the outstanding advantages of simple structure, strong anti-freezing ability, high stability, high measurement accuracy and reliable long-term monitoring.

[0028] The number and arrangement intervals of the temperature sensors 3 in the above-mentioned ice lake temperature gradient measurement system provided in this embodiment can be adjusted according to specific monitoring requirements; the materials of the buoy 1, wire rope 2 and counterweight 4 can also be appropriately adjusted according to the specific application scenario to further enhance the measurement stability.

[0029] Based on the same inventive concept, the present application also provides a method for measuring the temperature gradient of an ice lake, which is applied to the above-mentioned lake temperature gradient measurement system. Figure 2 As shown, the method for measuring the temperature gradient of a glacial lake includes the following steps.

[0030] S1: Obtain water temperature data of different water layers, environmental meteorological data and surface temperature data of glacial lakes.

[0031] S2: Use the Pearson correlation coefficient to measure the correlation between water temperature data and environmental meteorological data.

[0032] Pearson correlation coefficient It is used to measure the linear relationship between two variables. The calculation formula is as follows:

[0033] in, is the i-th measurement value of the water body temperature data, is the jth measurement value of the environmental meteorological data, 、 are the means of water temperature data and ambient meteorological data, respectively; N is the number of water temperature data measurements; and M is the number of ambient meteorological data measurements.

[0034] If r>0.8, it means that there is a strong positive correlation between the water body temperature data and the environmental meteorological data; if r<-0.8, it means that there is a strong negative correlation between the water body temperature data and the environmental meteorological data; if r is close to 0, it means that there is no linear relationship between the water body temperature data and the environmental meteorological data.

[0035] S3: Use a multivariate regression model to quantify the impact of environmental meteorological data on water body temperature data and surface temperature data.

[0036] Step S3 specifically includes the following steps.

[0037] (1) Pair each ambient meteorological data with surface temperature data or water body temperature data.

[0038] (2) Use regression analysis tools (such as the least squares method) to construct a multiple regression model:

[0039] in, is the surface temperature data or water body temperature data, is the wind speed, is the atmospheric temperature, is the air pressure, is a constant term, 、 、 are regression coefficients, is the error term.

[0040] (3) Use statistical software (such as Python's statsmodels or R's lm() function) to calculate the regression coefficient, that is, the contribution of each environmental meteorological data to the surface temperature data or water body temperature data.

[0041] (4) Model validation: Evaluate the R² value of the multiple regression model to determine the goodness of fit of the model. The higher the R² value, the better the model fits the data.

[0042] The glacial lake temperature gradient measurement method provided in this embodiment also includes: using an interpolation algorithm to interpolate water temperature data to construct a two-dimensional distribution diagram of the glacial lake water temperature profile. This more intuitively demonstrates the spatial variation of glacial lake temperature and improves data analysis and decision support capabilities.

[0043] Specifically, to create a two-dimensional schematic diagram of the water temperature profile, water temperature data at different depths can be interpolated to obtain a more detailed temperature distribution. For example, using kriging or inverse distance weighted (IDW) interpolation within a given depth interval, the predicted temperature value at each depth can be obtained. Using this interpolated data, a water temperature distribution map can be drawn to illustrate temperature variations at different depths, allowing analysis of the impact of different environmental meteorological data on temperature at each depth.

[0044] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0045] This document uses specific examples to illustrate the principles and implementation methods of this application. The description of the above examples is only intended to help understand the method and core concept of this application. At the same time, for those skilled in the art, based on the concept of this application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A glacial lake temperature gradient measurement system, characterized in that: include: Buoy, wire rope, multiple temperature sensors, counterweight, surface temperature measurement module, environmental meteorological measurement module and data processing module; The buoy is set on the water surface of the ice lake, and the counterweight is set on the bottom of the ice lake. One end of the steel wire rope is connected to the buoy, and the other end of the steel wire rope is connected to the counterweight. A plurality of temperature sensors are set on the steel wire rope at equal intervals. The surface temperature measurement module and the environmental meteorological measurement module are set inside the buoy; the plurality of temperature sensors are used to measure the water temperature data of different water layers; each sensor is provided with an antifreeze protective cover; The environmental meteorological measurement module is used to measure environmental meteorological data; The surface temperature measurement module is used to measure the surface temperature data of the ice lake; The data processing module is respectively connected to multiple temperature sensors, an environmental meteorological measurement module and a surface temperature measurement module, and is used to measure the correlation between water body temperature data and environmental meteorological data using the Pearson correlation coefficient, and to quantify the impact of environmental meteorological data on water body temperature data and surface temperature data using a multivariate regression model.

2. The glacial lake temperature gradient measurement system according to claim 1, characterized in that: The buoy is made of antifreeze material.

3. The glacial lake temperature gradient measurement system according to claim 1, characterized in that: The wire rope is made of corrosion-resistant and high-strength material.

4. The glacial lake temperature gradient measurement system according to claim 1, characterized in that: The counterweight block is made of high-density material.

5. The glacial lake temperature gradient measurement system according to claim 1, characterized in that: The environmental meteorological data includes wind speed, atmospheric temperature and air pressure.

6. The glacial lake temperature gradient measurement system according to claim 5, characterized in that: The environmental meteorological measurement module includes: Wind speed sensor, used to measure wind speed; Atmospheric temperature sensor, used to measure atmospheric temperature; Air pressure sensor, used to measure air pressure.

7. A method for measuring the temperature gradient of a glacial lake, characterized in that: The ice-lake temperature gradient measurement method is applied to the lake temperature gradient measurement system according to any one of claims 1 to 6, and the ice-lake temperature gradient measurement method includes: Obtain water temperature data of different water layers, environmental meteorological data and surface temperature data of glacial lakes; The Pearson correlation coefficient was used to measure the correlation between water temperature data and environmental meteorological data; A multiple regression model was used to quantify the impact of ambient meteorological data on water body temperature data and surface temperature data.

8. The method for measuring the temperature gradient of a glacial lake according to claim 7, characterized in that: Using the formula Calculate the Pearson correlation coefficient ;in, is the i-th measurement value of the water body temperature data, is the jth measurement value of the environmental meteorological data, 、 are the means of water temperature data and environmental meteorological data, respectively.

9. The method for measuring the temperature gradient of a glacial lake according to claim 7, characterized in that: The expression of the multiple regression model is: ； in, is the surface temperature data or water body temperature data, is the wind speed, is the atmospheric temperature, is the air pressure, is a constant term, 、 、 are regression coefficients, is the error term.

10. The method for measuring the temperature gradient of a glacial lake according to claim 7, characterized in that: The glacial lake temperature gradient measurement method further includes: The water temperature data were interpolated using an interpolation algorithm to construct a two-dimensional distribution diagram of the glacial lake water temperature profile.

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