scholarly journals Response of Erosion and Deposition in Ningxia-Inner Mongolia Reach to the Application of Long-Liu Reservoiron the Upper Yellow River

Author(s):  
Yanshuang Zheng ◽  
Qing Feng ◽  
Xiaohua Zhang ◽  
Qianlu Xiao
CATENA ◽  
2013 ◽  
Vol 109 ◽  
pp. 72-82 ◽  
Author(s):  
Xiaoli Fan ◽  
Changxing Shi ◽  
Wenwei Shao ◽  
Yuanyuan Zhou

2014 ◽  
Vol 75 (S2) ◽  
pp. 179-197 ◽  
Author(s):  
Cheng-Guo Wu ◽  
Yi-Ming Wei ◽  
Ju-Liang Jin ◽  
Qiang Huang ◽  
Yu-Liang Zhou ◽  
...  

2012 ◽  
Vol 226-228 ◽  
pp. 2313-2316
Author(s):  
Yan Shuang Zheng ◽  
Xiao Hua Zhang ◽  
Hong Peng

Based on the actual measurement datum in flood seasons in the Ningmeng Reach of the Upper Yellow River Reach, Authors search the law of erosion and deposition and sediment transport characteristics with built the quantitative correlation of erosion and deposition efficiency and water and sediment combination (sediment coming coefficient, sediment concentration/discharge)of the flood season. When the sediment coming coefficients of flood season is0.0038kg.s/m6 the Ningmeng reach in relative equilibrium state. The Ningmeng reach has the characteristic of “the more sediment coming, the more depositing, the more sediment transporting”, the sediment discharge increases with sediment concentration of coming flow increasing. The result of these research can be used in the Yellow River management and alluvial channel regulation.


2012 ◽  
Vol 282 ◽  
pp. 152-162 ◽  
Author(s):  
Xiaoli Fan ◽  
Changxing Shi ◽  
Yuanyuan Zhou ◽  
Wenwei Shao

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 748
Author(s):  
Ming Li ◽  
Qingsong Tian ◽  
Yan Yu ◽  
Yueyan Xu ◽  
Chongguang Li

The sustainable and efficient use of water resources has gained wide social concern, and the key point is to investigate the virtual water trade of the water-scarcity region and optimize water resources allocation. In this paper, we apply a multi-regional input-output model to analyze patterns and the spillover risks of the interprovincial virtual water trade in the Yellow River Economic Belt, China. The results show that: (1) The agriculture and supply sector as well as electricity and hot water production own the largest total water use coefficient, being high-risk water use sectors in the Yellow River Economic Belt. These two sectors also play a major role in the inflow and outflow of virtual water; (2) The overall situation of the Yellow River Economic Belt is virtual water inflow, but the pattern of virtual water trade between eastern and western provinces is quite different. Shandong, Henan, Shaanxi, and Inner Mongolia belong to the virtual water net inflow area, while the virtual water net outflow regions are concentrated in Shanxi, Gansu, Xinjiang, Ningxia, and Qinghai; (3) Due to higher water resource stress, Shandong and Shanxi suffer a higher cumulative risk through virtual water trade. Also, Shandong, Henan, and Inner Mongolia have a higher spillover risk to other provinces in the Yellow River Economic Belt.


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