Life history of Caenis lubrica Tong and Dudgeon, 2002 (Ephemeroptera: Caenidae) in a Three Gorges Reservoir feeder stream, subtropical Central China

2021 ◽  
pp. 1-21
Author(s):  
Xian-Fu Li ◽  
Si-Cheng Ao ◽  
Xin Shi ◽  
Jing-Jing Cheng ◽  
Lu Tan ◽  
...  
Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2448 ◽  
Author(s):  
Jianzhong Zhou ◽  
Benjun Jia ◽  
Xiao Chen ◽  
Hui Qin ◽  
Zhongzheng He ◽  
...  

In the long-term operation of hydropower reservoirs, operating rules have been used widely to decide reservoir operation because they can help operators make an approximately optimal decision with limited runoff information. However, the problems faced by reservoir managers is how to make and select an efficient operating rule properly. This study focuses on identifying efficient and reliable operating rules for the long-term operation of hydropower reservoirs using system dynamics (SD) approach. A stochastic hydrological model of reservoir inflow time series was established and used to generate a large number of inflow scenarios. A deterministic optimization operation model of hydropower reservoirs was constructed and then resolved using dynamic programming (DP) algorithm. Simultaneously, within implicit stochastic optimization (ISO) framework, different operating rules were derived using linear fitting methods. Finally, the most efficient one of the existing operating rules was identified based on SD simulation coupled with the operating rules. The Three Gorges Reservoir (TGR) in central China was used as a case study. The results show that the SD simulation is an efficient way to simulate a complicated reservoir system using feedback and causal loops. Moreover, it can directly and efficiently guide reservoir managers to make and identify efficient operating rules for the long-term operation of hydropower reservoirs.


2018 ◽  
Vol 108 (5B) ◽  
pp. 3016-3028 ◽  
Author(s):  
Lifen Zhang ◽  
Jinggang Li ◽  
Xiaodan Sun ◽  
Wulin Liao ◽  
Yannan Zhao ◽  
...  

2020 ◽  
Vol 41 (1) ◽  
pp. 45-54
Author(s):  
Xin Shi ◽  
Xian-Fu Li ◽  
Si-Cheng Ao ◽  
Qing-Yi Luo ◽  
Lu Tan ◽  
...  

2016 ◽  
Vol 28 (4) ◽  
pp. 1212-1227 ◽  
Author(s):  
Felix Stumpf ◽  
Philipp Goebes ◽  
Karsten Schmidt ◽  
Marcus Schindewolf ◽  
Sarah Schönbrodt‐Stitt ◽  
...  

2020 ◽  
Vol 221 (2) ◽  
pp. 1402-1411
Author(s):  
Chi-Chia Tang ◽  
Han Xu ◽  
Lupei Zhu ◽  
Rong Huang ◽  
Yinhe Luo

SUMMARY Slippage on a deep fault, which cannot be directly measured, can be inferred from repeating earthquakes. Here, we use a matched filter technique (MFT) to detect missing earthquakes near the Xiannvshan fault in the Three Gorges Reservoir region of Central China. We detected 13 repeating aftershock sequences (RASs) containing 107 events after a Ms 4.4 local earthquake that occurred on 26 March 2014. The RASs occurred in the vicinity of the Ms 4.4 main shock hypocentre and were concentrated within a depth range of 4–7 km. The short-term slip rates estimated from these RASs varied from ∼0.001 to 0.31 mm d–1. The slip rates of the RASs followed an approximately logarithmic decay with RAS duration, suggesting that the deep Xiannvshan fault behaviour tended to follow the logarithmic velocity-strengthening friction law. Relatively high-stress RAS events seemed to influence the occurrence of other RAS events whereas we found no evidence that high-stress nearby events, including a Ms 4.6 local earthquake that occurred on 29 March 2014, triggered the RAS events. We suggest that the fault stress change caused by the Ms 4.4 main shock played a role in triggering the RAS events. Our results demonstrate that the MFT can effectively help identify repeating aftershocks, which could help decipher fault zone rheology.


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