Do human disturbance variables influence more on fish community structure and function than natural variables in the Wei River basin, China?

2016 ◽  
Vol 61 ◽  
pp. 438-446 ◽  
Author(s):  
Wei Wu ◽  
Zongxue Xu ◽  
Mark J. Kennard ◽  
Xuwang Yin ◽  
Depeng Zuo
Keyword(s):  
Community Structure ◽  
River Basin ◽  
Human Disturbance ◽  
Fish Community ◽  
Structure And Function ◽  
Fish Community Structure ◽  
The Wei River Basin ◽  
And Function ◽  
Wei River Basin ◽  
Wei River

Assessing the impact of human interventions on floods and low flows in the Wei River Basin in China using the LISFLOOD model

2019 ◽  
Vol 653 ◽  
pp. 1077-1094 ◽  
Author(s):  
Lingtong Gai ◽  
João P. Nunes ◽  
Jantiene E.M. Baartman ◽  
Hongming Zhang ◽  
Fei Wang ◽  
...  
Keyword(s):  
River Basin ◽  
Low Flows ◽  
The Wei River Basin ◽  
Human Interventions ◽  
The Impact ◽  
Wei River Basin ◽  
Wei River

scholarly journals Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3532
Author(s):  
Qianyang Wang ◽  
Yuan Liu ◽  
Qimeng Yue ◽  
Yuexin Zheng ◽  
Xiaolei Yao ◽  
...  
Keyword(s):  
River Basin ◽  
Prediction Accuracy ◽  
Principal Component ◽  
Time Step ◽  
Flood Peak ◽  
Runoff Forecasting ◽  
The Wei River Basin ◽  
The Impact ◽  
Wei River Basin ◽  
Wei River

A gated recurrent unit (GRU) network, which is a kind of artificial neural network (ANN), has been increasingly applied to runoff forecasting. However, knowledge about the impact of different input data filtering strategies and the implications of different architectures on the GRU runoff forecasting model’s performance is still insufficient. This study has selected the daily rainfall and runoff data from 2007 to 2014 in the Wei River basin in Shaanxi, China, and assessed six different scenarios to explore the patterns of that impact. In the scenarios, four manually-selected rainfall or runoff data combinations and principal component analysis (PCA) denoised input have been considered along with single directional and bi-directional GRU network architectures. The performance has been evaluated from the aspect of robustness to 48 various hypermeter combinations, also, optimized accuracy in one-day-ahead (T + 1) and two-day-ahead (T + 2) forecasting for the overall forecasting process and the flood peak forecasts. The results suggest that the rainfall data can enhance the robustness of the model, especially in T + 2 forecasting. Additionally, it slightly introduces noise and affects the optimized prediction accuracy in T + 1 forecasting, but significantly improves the accuracy in T + 2 forecasting. Though with relevance (R = 0.409~0.763, Grey correlation grade >0.99), the runoff data at the adjacent tributary has an adverse effect on the robustness, but can enhance the accuracy of the flood peak forecasts with a short lead time. The models with PCA denoised input has an equivalent, even better performance on the robustness and accuracy compared with the models with the well manually filtered data; though slightly reduces the time-step robustness, the bi-directional architecture can enhance the prediction accuracy. All the scenarios provide acceptable forecasting results (NSE of 0.927~0.951 for T + 1 forecasting and 0.745~0.836 for T + 2 forecasting) when the hyperparameters have already been optimized. Based on the results, recommendations have been provided for the construction of the GRU runoff forecasting model.

Spatio-Temporal Changes in Potential Evaporation Based on Entropy Across the Wei River Basin

2014 ◽  
Vol 28 (13) ◽  
pp. 4599-4613 ◽  
Author(s):  
Shengzhi Huang ◽  
Jianxia Chang ◽  
Qiang Huang ◽  
Yimin Wang ◽  
Yutong Chen
Keyword(s):  
River Basin ◽  
Temporal Changes ◽  
Potential Evaporation ◽  
The Wei River Basin ◽  
Spatio Temporal ◽  
Wei River Basin ◽  
Wei River

Spatial-temporal change in precipitation patterns based on the cloud model across the Wei River Basin, China

2014 ◽  
Vol 120 (1-2) ◽  
pp. 391-401 ◽  
Author(s):  
Shengzhi Huang ◽  
Beibei Hou ◽  
Jianxia Chang ◽  
Qiang Huang ◽  
Yutong Chen
Keyword(s):  
River Basin ◽  
Temporal Change ◽  
Cloud Model ◽  
Precipitation Patterns ◽  
The Wei River Basin ◽  
Wei River Basin ◽  
Wei River
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