An ecological information analysis-based approach for assessing the sustainability of water use systems: a case study of the Huaihe River Basin, China

2015 ◽  
Vol 17 (8) ◽  
pp. 2197-2211 ◽  
Author(s):  
Reti Hai ◽  
Hong Shi ◽  
Bo Zhang ◽  
Yanan Zhai ◽  
Yuan Li ◽  
...  
Keyword(s):  
River Basin ◽  
Water Use ◽  
Huaihe River Basin ◽  
Information Analysis ◽  
Huaihe River ◽  
Ecological Information ◽  
The Huaihe River

Changes in extreme climate events in eastern China during 1960–2013: A case study of the Huaihe River Basin

2015 ◽  
Vol 380-381 ◽  
pp. 22-34 ◽  
Author(s):  
Wei Zhang ◽  
Shaoming Pan ◽  
Liguo Cao ◽  
Xun Cai ◽  
Kexin Zhang ◽  
...  
Keyword(s):  
River Basin ◽  
Eastern China ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Extreme Climate Events ◽  
Extreme Climate ◽  
The Huaihe River ◽  
Climate Events

scholarly journals Dynamics of Land-Use and Vegetation Change Using NDVI and Transfer Matrix: A Case Study of the Huaihe River Basin

2018 ◽  
Vol 28 (1) ◽  
pp. 213-223 ◽  
Author(s):  
Fang Liu ◽  
Tianling Qin ◽  
Abel Girma ◽  
Hao Wang ◽  
Baisha Weng ◽  
...  
Keyword(s):  
Land Use ◽  
Transfer Matrix ◽  
River Basin ◽  
Vegetation Change ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
The Huaihe River

Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin

2021 ◽  
Vol 14 (18) ◽  
Author(s):  
Mohammad Ilyas Abro ◽  
Dehua Zhu ◽  
Ehsan Elahi ◽  
Asghar Ali Majidano ◽  
Bhai Khan Solangi
Keyword(s):  
River Basin ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Hydrological Simulation ◽  
Precipitation Estimates ◽  
The Huaihe River

Atmospheric-hydrological modeling of severe precipitation and floods in the Huaihe River Basin, China

2006 ◽  
Vol 330 (1-2) ◽  
pp. 249-259 ◽  
Author(s):  
Charles A. Lin ◽  
Lei Wen ◽  
Guihua Lu ◽  
Zhiyong Wu ◽  
Jianyun Zhang ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrological Modeling ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
The Huaihe River

scholarly journals Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Chenkai Cai ◽  
Jianqun Wang ◽  
Zhijia Li
Keyword(s):  
River Basin ◽  
Lead Time ◽  
Flood Control ◽  
Ensemble Methods ◽  
New Method ◽  
Support Vector ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Reservoir Regulation ◽  
The Huaihe River

Recently, the use of the numerical rainfall forecast has become a common approach to improve the lead time of streamflow forecasts for flood control and reservoir regulation. The control forecasts of five operational global prediction systems from different centers were evaluated against the observed data by a series of area-weighted verification and classification metrics during May to September 2015–2017 in six subcatchments of the Xixian Catchment in the Huaihe River Basin. According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. The results indicate that the raw forecast datasets have large missing alarm errors (MEs) and cannot be directly applied to the extension of flood forecasting lead time. Although the ensemble methods can improve the performance of rainfall forecasts, the missing alarm error is still large, leading to a huge hazard in flood control. To improve the lead time of the flood forecast, as well as avert the risk from rainfall prediction, a new ensemble method was proposed on the basis of support vector regression (SVR). Compared to the other methods, the new method has a better ability in reducing the ME of the forecasts. More specifically, with the use of the new method, the lead time of flood forecasts can be prolonged to at least 3 d without great risk in flood control, which corresponds to the aim of flood prevention and disaster reduction.

Sign in / Sign up

Export Citation Format

Share Document