一种基于重力卫星时序数据分析的区域地下水储量变化动态监测方法
By analyzing gravity satellite time-series data and processing multi-source environmental data, the spatial coverage and signal separation problems of large-scale groundwater monitoring have been solved, enabling accurate monitoring and dynamic early warning of groundwater storage changes and providing monitoring reports with high signal-to-noise ratios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN SUMMIT TECH
- Filing Date
- 2026-03-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing groundwater monitoring technologies are unable to achieve continuous surface coverage over large areas, and satellite remote sensing technology has difficulty distinguishing different forms of water components, making it difficult to accurately monitor changes in groundwater reserves.
By analyzing gravity satellite time-series data, combined with multi-source environmental data and signal processing techniques, terrestrial water storage data is retrieved and signals are separated to construct a dynamic groundwater monitoring method. This method includes data preprocessing, multi-source data resampling, non-groundwater storage calculation, and dynamic database construction to identify abnormal groundwater depletion.
It achieves high signal-to-noise ratio and reliability of large-scale inversion benchmark data, keenly identifies abnormal loss trends masked by natural fluctuations, and generates dynamic reports that integrate spatial perception, quantitative statistics, and decision-making recommendations, providing strong decision support for regional water resources management.
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Figure CN121858932B_ABST