2022
DOI: 10.3390/rs14061369
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Natural- and Human-Induced Influences on Terrestrial Water Storage Change in Sichuan, Southwest China from 2003 to 2020

Abstract: A quantitative understanding of changes in water resources is crucial for local governments to enable timely decision-making to maintain water security. Here, we quantified natural-and human-induced influences on the terrestrial water storage change (TWSC) in Sichuan, Southwest China, with intensive water consumption and climate variability, based on the data from the Gravity Recovery and Climate Experiment (GRACE) and its Follow-on (GRACE-FO) during 2003–2020. We combined the TWSC estimates derived from six G… Show more

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Cited by 13 publications
(11 citation statements)
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“…It may be due to the continuous hydropower development in the UY in recent decades. Cui et al [ 35 ] indicate that the contribution of reservoir water storage to TWSC in Sichuan (UY) reached 43.32%. And the area of Sichuan accounts for nearly 50% of the UY.…”
Section: Resultsmentioning
confidence: 99%
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“…It may be due to the continuous hydropower development in the UY in recent decades. Cui et al [ 35 ] indicate that the contribution of reservoir water storage to TWSC in Sichuan (UY) reached 43.32%. And the area of Sichuan accounts for nearly 50% of the UY.…”
Section: Resultsmentioning
confidence: 99%
“…This difference is mainly due to human factors. According to statistics, the water storage capacity of reservoirs in Sichuan Province (UY) has increased sharply, from 12.241 billion cubic meters in 2009 to 52.908 billion cubic meters in 2020, an increase of nearly 5 times [ 35 ]. Therefore, the main factor that affects floods and droughts in the UY and MLY is PPT.…”
Section: Resultsmentioning
confidence: 99%
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“…Due to the discrepancies in the SH solutions from different institutions, it may lead to inconsistent results [43]. To improve the reliability of our results, we used the GTCH method to evaluate the uncertainties of TWSC results from six GRACE solutions.…”
Section: Different Datasets Fusionmentioning
confidence: 99%
“…The observations series can be decomposed into the long-term trend change term, acceleration term, seasonal change term (annual change and semi-annual change), and residual term. The expression is as follows [43]:…”
Section: Long-term Trend Change and Accelerationmentioning
confidence: 99%