Hybrid CFD and Satellite Pollution Source Mapping
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Solution Overview
Problem
Current methods for accurately modeling and visualizing air pollution distribution face challenges due to errors in weather models and low resolution in satellite data, leading to incomplete and inaccurate representations of pollution sources.
Innovation Solution
A hybrid approach combining computed fluid dynamics (CFD) models with satellite-observed pollution data, using weighted coefficients based on relative errors to optimize the physical dispersion model, interpolating satellite data onto a finer CFD grid for enhanced pollution source mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite data is used for pollution observation, then coverage area is improved, but resolution is worsened
Solution Approach 1:
The patent combines satellite observation data with CFD model data to create a hybrid pollution distribution map. The satellite data provides broad coverage while the CFD model provides detailed local information, merging both data sources to overcome their individual limitations regarding coverage area and resolution.
2Productivity
If weather models are used for pollution modeling, then computational efficiency is improved, but accuracy is worsened
Solution Approach 1:
The patent uses satellite observation data as an intermediary to calibrate and optimize the CFD model. The satellite data serves as a reference to adjust the weather model parameters and improve the accuracy of pollution distribution predictions while maintaining the computational efficiency of the CFD approach.
3Measurement precision
If CFD models are used for pollution distribution, then resolution is improved, but computational complexity is worsened
Solution Approach 1:
The patent segments the computational domain into different regions, using satellite data for broad-area pollution distribution and CFD models only for specific regions of interest where high resolution is needed. This segmentation reduces the overall computational complexity while maintaining high resolution where necessary.
Data Source
AI summary
A method for modeling air pollution includes receiving a weather model for a particular geographic region. Satellite-observed pollution observation data over the geographic region is received. A physical dispersion model for pollution over the geographic region is generated using the received weather model. The received satellite-observed pollution observation data is interpolated to the generated physical model. The interpolated satellite-observed pollution observation data and the generated physical model are combined using weighted coefficients for both the interpolated satellite-observed pollution observation data and the generated physical model. The weighted coefficients are calculated in accordance with a relative error in both the physical dispersion model and the satellite-observed pollution observation data.