Ocean Organic Carbon Vertical Distribution Discrimination
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Solution Overview
Problem
Current methods for estimating the stock of organic carbons in ocean water areas are inaccurate due to the inhomogeneous distribution of organic carbons, which cannot be effectively discriminated using existing techniques.
Innovation Solution
A method that involves obtaining concentrations of organic carbons in surface layers, water depths, and mixed layer depths, and then calculating ratios of water depths to mixed layer depths to discriminate vertical distribution models of organic carbons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the method of combining numerical simulation with measured data is used to estimate the stock of organic carbons, then the estimation process can be completed, but the accuracy of the estimation is low due to the inhomogeneous distribution of organic carbons
Solution Approach 1:
The patent segments the ocean water column into different depth layers (surface layer, mixed layer, and deeper layers) and uses different distribution models for each segment. This allows the inhomogeneous distribution of organic carbons to be captured by applying layer-specific models rather than a single uniform model, thereby improving estimation accuracy.
Solution Approach 2:
The patent applies different vertical distribution models to different depth regions based on their specific characteristics. The surface layer uses one model, the mixed layer uses another, and deeper layers use a third model, allowing each region to be represented by the most appropriate local model for its organic carbon distribution pattern.
2Measurement precision
If the distribution of organic carbons is treated as inhomogeneous, then the accuracy can be improved by using multiple distribution models, but the complexity of the discrimination method increases
Solution Approach 1:
The patent changes the parameters used for discrimination from simple water mass identification to a combination of depth ratios and mixed layer depth parameters. By using the ratio of water depth to mixed layer depth as a key parameter, the method can distinguish between different vertical distribution patterns without requiring overly complex discrimination algorithms.
3Measurement precision
If the depth of mixed layer is used to reflect the mixed state of water, then the discrimination accuracy improves, but the measurement and calculation requirements increase
Solution Approach 1:
The patent uses the mixed layer depth as an intermediary parameter that indirectly reflects the vertical distribution characteristics of organic carbons. Instead of directly measuring organic carbon distribution, the method uses mixed layer depth (which can be obtained from temperature or salinity profiles) as a proxy to infer carbon distribution patterns, simplifying the measurement process.
Data Source
AI summary
A method for discriminating vertical distribution models of organic carbons is provided, the method includes: obtaining a concentration of organic carbons in a surface layer of the ocean water area, depths of water of the ocean water area and depths of mixed layers of the ocean water area; determining different vertical distribution models of organic carbons in the ocean water area according to the concentration of the organic carbons in the surface layer and the depths of water of the ocean water area; calculating ratios of the depths of water of the ocean water area to the depths of the mixed layers of the ocean water area; and discriminating the vertical distribution models according to the ratios. According to this method, the accuracy of estimation of the stock of organic carbons in the ocean water area can be improved greatly.