A Study on Crustal Deformation Patterns induced by Large-Scale River Storage Variation using a Line-Load Model

초록

To quantitatively evaluate crustal deformation induced by variations in large-scale river storage, we conducted acomprehensive analysis using crustal displacement data from the Global Navigation Satellite System (GNSS), satellitegravity observations from the Gravity Recovery and Climate Experiment (GRACE), and outputs from the Water GlobalAssessment and Prognosis (WaterGAP) hydrological model. We employed line-shaped loads to model the temporalvariations in river water storage in the Amazon Basin, which are narrowly concentrated along the river channels. We thencalculated the resulting elastic deformation of the crust and compared it with GNSS measurements. Our findings confirmthat the line‐load model successfully explains the portion of seasonal crustal displacement attributable to river storagevariation in the Amazon Basin. These results not only suggest an approach to estimate large-scale river storage variationsthrough remote sensing data but also provide a framework for separating and validating individual components, such assoil moisture or groundwater changes, from the total terrestrial water storage (TWS) observed by GRACE. Furthermore,the proposed method is expected to enable more refined interpretations and applications across diverse fields, includinghydrological hazard prediction and water resource management under severe global climate change conditions.

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