Abstract Based on the three-dimensional point-mass modeling approach with spatial constraint, we introduce a hydrological model to calculate the correlation coefficient between geographical points. The L-curve method is used to determine the optimal regularization parameters. The results show that the three-dimensional point-mass modeling approach after the introduction of hydrological model has higher proportion of signal-to-noise ratio greater than 0 than the method with zero order Tikhonov constraint. We use this method to monitor the drought in southwest China in 2010. We also use principal component analysis method to analyze the water storage anomaly in southwest China after removing seasonal signals. The results show that the water storage in southwest China has an obvious negative anomaly from autumn 2009 to spring 2010.
SU Yong,WEI Wei,LI Qiong et al. Drought Monitoring in Southwest China in 2010 Using Three-Dimensional Acceleration Point-Mass Modeling Approach[J]. jgg, 2022, 42(4): 403-409.
SU Yong,WEI Wei,LI Qiong et al. Drought Monitoring in Southwest China in 2010 Using Three-Dimensional Acceleration Point-Mass Modeling Approach[J]. jgg, 2022, 42(4): 403-409.
