Ecohydrological Impacts of Two Large Cascade Reservoirs in the Middle Yellow River, China

2021 ◽  
Vol 26 (11) ◽  
pp. 05021029
Author(s):  
Xiaoming Guo ◽  
Yu Deng ◽  
Yan Guo ◽  
Ying Zhao ◽  
Qiuyue Niu
2015 ◽  
Vol 523 ◽  
pp. 758-767 ◽  
Author(s):  
Tao Bai ◽  
Jian-xia Chang ◽  
Fi-John Chang ◽  
Qiang Huang ◽  
Yi-min Wang ◽  
...  

2019 ◽  
Vol 158 ◽  
pp. 6288-6295 ◽  
Author(s):  
Peng Shaoming ◽  
Zheng Xiaokang ◽  
Wang Yu ◽  
Li Kefei

2012 ◽  
Vol 24 ◽  
pp. 217-224
Author(s):  
Zhang Zezhong ◽  
Xu Jianxin ◽  
Qi Qingqing ◽  
Huang Qiang

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Jie Yang ◽  
Jing Ma ◽  
De-xiu Hu ◽  
Lu Wang ◽  
Ji-na Yin ◽  
...  

It is difficult to effectively identify and eliminate the multiple correlation influence among the independent factors by least-squares regression. Focusing on this insufficiency, the sediment deposition risk of cascade reservoirs and fitting model of sediment flux into the reservoir are studied. The partial least-squares regression (PLSR) method is adopted for modeling analysis; the model fitting is organically combined with the non-model-style data content analysis, so as to realize the regression model, data structure simplification, and multiple correlations analysis among factors; meanwhile the accuracy of the model is ensured through cross validity check. The modeling analysis of sediment flux into the cascade reservoirs of Long-Liu section upstream of the Yellow River indicates that partial least-squares regression can effectively overcome the multiple correlation influence among factors, and the isolated factor variables have better ability to explain the physical cause of measured results.


2019 ◽  
Vol 19 (7) ◽  
pp. 1918-1928 ◽  
Author(s):  
Jia-qi Bian ◽  
Zeng-chuan Dong ◽  
Yi-fei Jia ◽  
Dun-yu Zhong

Abstract The reservoirs (hydro plants) along the upper Yellow River are typical cascade reservoirs, with multiple objectives regarding flood control, ice control, water supply, power generation, and ecological security. The competition among these multiple objectives reflects the competition among various agencies with different interests. There has been a certain degree of conflict between ‘power scheduling’, which aims at obtaining greater power generation from the cascade reservoirs, and ‘water regulation’, which is currently being implemented. Questions of how to reasonably use the comprehensive regulation capacity of the cascade reservoirs, in order to relieve the conflicts among multiple objectives, and understand the nature of the competition between ‘power scheduling’ and ‘water regulation’, require urgent research and solutions. Based on an analysis of the current situation regarding water supply, electricity demand, flood control, ice control, and ecology, a multi-objective optimal operation model for the cascade reservoirs in the upper and middle reaches of the Yellow River has been constructed to reveal the relationships between power generation and other objectives. This study provides theoretical evidence for the informed operation of the cascade reservoirs and will be of great significance for coordinating the relationship between power generation and water regulation.


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