The Characteristic Analysis of Key Contamination Zone around Discharge Outlet after Water Storage of Three Gorges Reservoir Using 2D Numerical Model

2015 ◽  
Author(s):  
Cheng Huang ◽  
Zhi Zhang
Keyword(s):  
Numerical Model ◽  
Three Gorges Reservoir ◽  
Water Storage ◽  
Three Gorges ◽  
Characteristic Analysis ◽  
2D Numerical Model

Establishment and Validation of a 1-D Numerical Model of Unsteady Flow and Sediment Transport in the Three Gorges Reservoir (TGR)

2013 ◽  
Vol 444-445 ◽  
pp. 901-905
Author(s):  
Ren Yong Huang ◽  
Jie Zhang
Keyword(s):  
Sediment Transport ◽  
Numerical Model ◽  
Unsteady Flow ◽  
Calculation Method ◽  
Three Gorges Reservoir ◽  
Three Gorges ◽  
The Three Gorges ◽  
Flow And Sediment Transport ◽  
Simulation Results ◽  
Good Agreement

A numerical model for simulating unsteady flow and sediment transport in the mainstream and its tributaries at the TGR was presented in this paper, and a three-gradation method was applied to solve the flow governing equation. A experience formula was gave for the calculation of the size of groups of different coefficient of saturation recovery based on the analysis, so the traditional calculation method was improved in this paper. The validity of the model was checked with the observed data of the TGR from 2003 to 2011. Good agreement between the calculation and observed data was obtained. The simulation results show that this model could be used to simulate the flow and sediment transport at the TGR.

scholarly journals Using Satellite Gravity and Hydrological Data to Estimate Changes in Evapotranspiration Induced by Water Storage Fluctuations in the Three Gorges Reservoir of China

2020 ◽  
Vol 12 (13) ◽  
pp. 2143
Author(s):  
Yuhao Zheng ◽  
Linsong Wang ◽  
Chao Chen ◽  
Zhengyan Fu ◽  
Zhenran Peng
Keyword(s):  
Water Balance ◽  
Yangtze River ◽  
Three Gorges Reservoir ◽  
Water Storage ◽  
Three Gorges ◽  
The Yangtze River ◽  
Short Term ◽  
The Three Gorges ◽  
Terrestrial Water ◽  
High Precipitation

The change in water storage driven by the Three Gorges Project directly affects the terrestrial water migration and redistribution in the Yangtze River Basin (YRB). As a result, a new water balance is established and regional evapotranspiration (ET) fluctuates in the process. In this paper, data from multiple-sources including from the Gravity Recovery and Climate Experiment (GRACE) satellite, land surface models (LSMs), remote sensing, and in-situ observations were used to monitor the temporal and spatial evolution of terrestrial water and estimate changes in ET in the Three Gorges Reservoir (TGR) from 2002 to 2016. Our results showed that GRACE data scaled using the scale factor method significantly improved the signal amplitude and highlighted its spatial differences in the TGR area. Combining GRACE with surface hydrological observations, ET in the TGR area was estimated to have overall change characteristics highly consistent with results from the MOD16 Moderate Resolution Imaging Spectroradiometer (MODIS), and the uncertainties of monthly ET are mainly from TWS changes derived by GRACE uncertainties such as measurement errors and leakage errors. During our study period, the cyclical ET was mainly driven by climate precipitation but short-term (monthly) ET in the TGR area was also directly affected by human-driven water storage. For example, rising water levels in the three water storage stages (2003, 2006, and 2008) caused an abnormal increase in regional ET (up to 22.4 cm/month, 19.2 cm/month and 29.5 cm/month, respectively). Usually, high precipitation will cause increase in ET but the high precipitation during the water release periods (spring and summer) did not have a significant impact on the increased ET due to the water level in the TGR having decreased 30 m in this stage. Our results also indicate that the short-term fluctuations in flooded area and storage capacity of the TGR, i.e., the man-made mass changes in the main branch and tributaries of the Yangtze River, were the main factors that influenced the ET. This further illustrated that a quantitative estimation of changes in the ET in the TGR allows for a deeper understanding of the water balance in the regional land water cycle process as driven by both climate and human factors.

Eutrophication investigation and assessment of the Daning River after water storage of the Three Gorges Reservoir

2005 ◽  
Vol 24 (2) ◽  
pp. 149-154 ◽  
Author(s):  
Zhong Chenghua ◽  
Xing Zhiguo ◽  
Zhao Wenqian ◽  
Wang Derui ◽  
Deng Chunguang ◽  
...  
Keyword(s):  
Three Gorges Reservoir ◽  
Water Storage ◽  
Three Gorges ◽  
The Three Gorges Reservoir ◽  
The Three Gorges

scholarly journals The Challenge of Spatial Resolutions for GRACE-Based Estimates Volume Changes of Larger Man-Made Lake: The Case of China’s Three Gorges Reservoir in the Yangtze River

2019 ◽  
Vol 11 (1) ◽  
pp. 99 ◽  
Author(s):  
Linsong Wang ◽  
Mikhail K. Kaban ◽  
Maik Thomas ◽  
Chao Chen ◽  
Xian Ma
Keyword(s):  
Volume Change ◽  
Land Surface ◽  
Three Gorges Reservoir ◽  
Water Storage ◽  
In Situ Measurements ◽  
Coarse Grained ◽  
Three Gorges ◽  
Volume Changes ◽  
Near Surface

The Three Gorges Reservoir (TGR) in China, with the largest dam in the world, stores a large volume of water and may influence the Earth’s gravity field on sub-seasonal to interannual timescales. Significant changes of the total water storage (TWS) might be detectable by satellite-based data provided by the Gravity Recovery and Climate Experiment (GRACE) mission. To detect these store water changes, effects of other factors are to be removed first from these data due to band-limited representation of near-surface mass changes from GRACE. Here, we evaluated three current popular land surface models (LSMs) basing on in situ measurements and found that the WaterGAP Global Hydrology Model (WGHM) demonstrates higher correlation than other analyzed models with the in-situ rainfall measurement. Then we used the WGHM outputs to remove climate-induced TWS changes, such as surface water storage, soil, canopy, snow, and groundwater storage. The residual results (GRACE minus WGHM) indicated a strong trend (3.85 ± 2 km3/yr) that is significantly higher than the TGR analysis and hindcast experiments (2.29 ± 1 km3/yr) based on in-situ water level measurements. We also estimated the seepage response to the TGR filling, contributions from other anthropogenic dams, and used in-situ gravity and GPS observations to evaluate dominant factors responsible for the GRACE-based overestimate of the TGR volume change. We found that the modeled seepage variability through coarse-grained materials explained most of the difference between the GRACE based estimate of TGR volume changes and in situ measurements, but the agreement with in-situ gravity observations is considerably lower. In contrast, the leakage contribution from 13 adjacent reservoirs explained ~74% of the TGR volume change derived from GRACE and WGHM. Our results demonstrate that GRACE-based overestimate TGR mass change mainly from the contribution of surrounding artificial reservoirs and underestimated TWS variations in WGHM simulations due to the large uncertainty of WGHM in groundwater component. In additional, this study also indicates that reservoir or lake volume changes can be reliably derived from GRACE data when they are used in combination with relevant complementary observations.

Study on Failure Mechanism of Gongjiafang Bank Slope in Wu Gorge of the Three Gorges, the Yangtze River, China

2013 ◽  
Vol 368-370 ◽  
pp. 1794-1799
Author(s):  
Hong Kai Chen ◽  
Hong Mei Tang ◽  
Xiao Ying He ◽  
Xian Tao Zhao
Keyword(s):  
Yangtze River ◽  
Three Gorges Reservoir ◽  
Water Storage ◽  
Tectonic Stress ◽  
Three Gorges ◽  
The Yangtze River ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Bank Slope ◽  
The Three Gorges

During running period of the Three Gorges reservoir ,failure mechanism of bank slope is one of the important scientific problems of geological disaster mitigation for reservoir bank. GongJiafang bank slope is located in left of Wu Gorge in Three Gorges of the Yangtze River, where damage events appeared in 175 m experimental water storage in 2008 and 175 m normal water storage in 2011.Study shows that, GongJiafang bank slope located in the core of the Heng Shi stream anticline developes two group of tectonic fractures .The first one is unloading fracture of bank slope, whose upper part is in transfixion or intermittent transfixion status,and the second one belongs to shear shear fracture. Bank slope presents cataclastic rock mass structure ,whose water physical properties are poor. The shear strength parameters of bank slope soil reduce after being immersed, a decreas of about 52 % on cohesion, and 30 % on friction. Regional new tectonic stress field control the macroscopic law for failure of GongJiafang bank slope .Especially max2 shear zone in new tectonic stress field is consistent with the first group fracture, which strengthen progress of the unloading fracture developement .Bank slope basically appear unstable failure along with the first group fracture. About 50% unbroken lower part of unloading fracture in GongJiafang bank slope locate in reservoir water level change belt between 145m and 175m.During the reservoir water level rising, stability coefficient of bank slope decreases from 1.31 to 0.88 after being immersed, and it is inevitable for bank slope to fail suddenly. Research results for further exploration on the formation mechanism of bank landslide in the Three Gorges reservoir and its mitigation has positive significance.

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