Hydrologic Model Parameter Calibration via Multipoint Parallel Correction
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Solution Overview
Problem
Current methods for calibrating hydrologic model parameters are memory-intensive and time-consuming, often leading to suspended optimization processes in large basin areas, and fail to accurately reflect runoff and convergence characteristics of sub-basins due to single-point calibration.
Innovation Solution
A method for calibrating distributed hydrologic model parameters using multipoint parallel correction, which involves dividing a basin into sub-basins, adding hydrologic units, determining rainfall and flow processes, and using parallel optimization algorithms to find optimal parameters across multiple computers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distributed hydrologic model parameter calibration is performed using traditional single-point optimization methods, then the model parameters can be calibrated at one location, but the computational time increases significantly and computer memory requirements cause the optimization program to suspend for large basin areas
Solution Approach 1:
The patent divides the entire basin into multiple sub-basins and further segments the parameter calibration into multiple parameter-calibrated units. Each unit is calibrated independently using local observed data, allowing parallel computation across multiple computers. This segmentation reduces the computational burden on single systems and enables faster overall calibration while maintaining accuracy through localized optimization.
Solution Approach 2:
The patent transitions from single-point calibration to multipoint parallel calibration by adding the dimension of spatial distribution. Instead of optimizing parameters at one location sequentially, the system performs simultaneous calibration at multiple locations across different sub-basins, utilizing parallel computing resources to achieve both speed and accuracy improvements.
2Productivity
If traditional single-point calibration method is used, then the optimization process can be completed with limited computational resources, but the given parameters cannot reflect the true runoff and convergence characteristics of each sub-basin
Solution Approach 1:
The patent applies local quality by calibrating parameters specifically for each parameter-calibrated unit based on local observed flow processes and characteristics. Each unit's parameters are optimized to reflect its unique runoff and convergence properties rather than applying uniform parameters across the entire basin. This ensures high fidelity representation of local hydrologic behavior while maintaining overall system efficiency.
3Loss of time
If parallel algorithms are used for multipoint calibration across multiple computers, then computational time is reduced and calibration efficiency is improved, but the system complexity and coordination requirements increase
Solution Approach 1:
The patent segments the calibration system into independent parameter-calibrated units that can be processed in parallel. Each unit operates autonomously with its own objective function and optimization process, minimizing inter-unit dependencies and coordination complexity. This segmentation allows straightforward parallel implementation across multiple computers while maintaining system manageability.
Data Source
AI summary
The present invention disclosed a method for calibrating distributed hydrologic model parameters based on multipoint parallel correction, comprising: dividing the research-targeted basin into several sub-basins according to the position of the hydrometric stations of the main stream and larger tributaries within the research-targeted basin, when performing model parameter calibration, dividing the research-targeted basin into several parameter calibrated units according to the positional relationship of the sub-basins and the data situation of the hydrometric stations; integrating the hydrological model parameters of each parameter-calibrated unit to give the hydrological model parameters of the entire basin. The present invention has beneficial effects such as the research-targeted basin being divided into multiple parameter-calibrated units according to the distribution of the hydrometric stations having measured data, and different parameter-calibrated units on multiple computers being corrected and calibrated according to the measured flow process of the hydrometric stations at its outlet section, improving the calibration efficiency.