2019_EJRNL_PP_WANQIU_LI_1.pdf
Terbatas  
» Gedung UPT Perpustakaan
Terbatas  
» Gedung UPT Perpustakaan
The Yangtze River Basin is an important economic area in China. Monitoring TWS change in this basin is strongly
meaningful for exploitation of water resources and economic development. Filtering is necessary to derive the
TWS from GRACE time-variable gravity field models, but the signal is distorted. Therefore, we subtract the leakage error from the filtered TWS change to acquire the attenuation signal. We use a scale factor derived from the
basin characteristic function to recover the attenuation signal. We propose a so-called third-filter method to gain
the temporal distribution of the leakage error. In addition, we compare the TWS obtained using the third-filter
method with that from other approaches, e.g., the scaling-factor approach, addictive correction approach, and
multiplicative correction approach. In the spatial distribution, we compare the results from these three
approaches with that from the second-filter method. Furthermore, we validate the effectiveness of our method
in simulation studies. By using the GRACE data, we further analyze the effect of leakage error on TWS change
in the Yangtze River Basin, and we compare the restored signal after correcting the leakage error with the
WGHM and in-situ measurements of TGR impoundment. The results indicate: (1) From the third-filter method,
the annual amplitude of TWS change in the Yangtze River Basin corresponds to a 4.4 ± 0.5 cm equivalent water
thickness, while the semi-annual amplitude is up to an equivalent water thickness of 0.7 ± 0.5 cm. These results
are more consistent with the WGHM model after leakage error is corrected. (2) Additionally, the GRACE and
model results show coincident annual fluctuation of the TWS in the basin, with the largest increase in August
every year. The whole trend of third-filter method result in TGR area is closer to yearly change rate of TGR volume. (3) The third-filter method effectively reconstructs the temporal distribution of the TWS from the GRACE
filtering data. And the multiplicative correction method may achieve a higher precision of spatial TWS change
in the basin.