scholarly journals Study on the Variation of Terrestrial Water Storage and the Identification of Its Relationship with Hydrological Cycle Factors in the Tarim River Basin, China

2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Peng Yang ◽  
Jun Xia ◽  
Chesheng Zhan ◽  
Yongyong Zhang ◽  
Jie Chen

The terrestrial water storage anomalies (TWSAs) in the Tarim River Basin (TRB) were investigated and the related factors of water variations in the mountain areas were analyzed based on Gravity Recovery and Climate Experiment (GRACE) data, in situ river discharge, and precipitation during the period of 2002–2015. The results showed that three obvious flood events in 2005, 2006, and 2010 resulted in significant water surplus, although TWSA decreased in the TRB during 2002–2015. However, while the significant water deficits in 2004, 2009, and 2011 were associated with obvious negative river discharge anomalies at the hydrological stations, the significant water deficits were not well consistent with the negative anomalies of precipitation. While the river discharge behaved with low correlations with TWSA, linear relationships between TWSA and climate indices were insignificant in the TRB from 2002 to 2015. The closest relationship was found between TWSA and Pacific Decadal Oscillation (PDO), with correlations of -0.56 and 0.58 during January 2010–December 2015 and during January 2006–December 2009, respectively. Meanwhile, the correlation coefficient between TWSA and El Niño-Southern Oscillation (ENSO) index in the period of April 2002–December 2005 was -0.25, which reached the significant level (p<0.05).

2019 ◽  
Vol 50 (2) ◽  
pp. 761-777 ◽  
Author(s):  
Jun Xia ◽  
Peng Yang ◽  
Chesheng Zhan ◽  
Yunfeng Qiao

Abstract Drought is a widespread natural hazard. In this study, the potential factors affecting spatiotemporal changes of drought in the Tarim River Basin (TRB), China, were investigated using the empirical orthogonal function (EOF) and multiple hydro-meteorological indicators such as the standardized precipitation index (SPI), standardized soil moisture index (SSI), and terrestrial water storage (TWS). The following major conclusions were drawn. (1) Inconsistent variations between SPIs/SSIs and TWS in the TRB indicate a groundwater deficit in 2002–2012. (2) The results of EOF indicate that soil moisture in the TRB was significantly affected by precipitation. However, the variations between the EOFs of SSIs and those of TWS were not identical, which indicates that soil water had less effect on TWS than groundwater. (3) Drought evaluations using SPI and SSI showed that a long drought duration occurred over a long accumulation period, whereas a high frequency of drought was related to a short accumulation period. (4) Hydrological features related to extreme soil moisture conditions in the TRB could also be influenced by the El Niño–Southern Oscillation. The findings of this study are significant for use in drought detection and for making water management decisions.


2021 ◽  
Vol 13 (5) ◽  
pp. 889
Author(s):  
Fei Wang ◽  
Yaning Chen ◽  
Zhi Li ◽  
Gonghuan Fang ◽  
Yupeng Li ◽  
...  

Estimating terrestrial water storage (TWS) not only helps to provide a comprehensive insight into water resource variability and the hydrological cycle but also for better water resource management. In the current research, Gravity Recovery and Climate Experiment (GRACE) data are combined with the available hydrological data to reconstruct a longer record of terrestrial water storage anomalies (TWSA) prior to 2003 of the Tarim River basin (TRB), based on a Long Short-Term Memory (LSTM) model. We found that the TWSA generated by LSTM using soil moisture, evapotranspiration, precipitation, and temperature best matches the GRACE-derived TWSA, with a high correlation coefficient (r) of 0.922 and a normalized root mean square error (NRMSE) of 0.107 during the period 2003–2012. These results show that the LSTM model is an available and feasible method to generate TWSA. Further, the TWSA reveals a significant fluctuating downward trend (p < 0.001), with an average annual decline rate of 0.03 mm/year during the period 1982–2016 in the TRB. Moreover, the TWS amount in the north of the TRB was less than that in the south of the basin. Overall, our findings unveiled that the LSTM model and GRACE data can be combined effectively to analyze the long-term TWS in large-scale basins with limited hydrological data.


2010 ◽  
Vol 26 (3) ◽  
pp. 347-353
Author(s):  
Jian-kang SHI ◽  
An-ming BAO ◽  
Hai-long LIU ◽  
Xian-wei FENG ◽  
Wei-sheng WANG ◽  
...  

2016 ◽  
Vol 147 ◽  
pp. 12-24 ◽  
Author(s):  
Xihui Gu ◽  
Qiang Zhang ◽  
Vijay P Singh ◽  
Yongqin David Chen ◽  
Peijun Shi

Sign in / Sign up

Export Citation Format

Share Document