A spatially distributed flash flood forecasting model

2008 ◽  
Vol 23 (4) ◽  
pp. 464-478 ◽  
Author(s):  
G BLOSCHL ◽  
C RESZLER ◽  
J KOMMA
Keyword(s):  
Flash Flood ◽  
Flood Forecasting ◽  
Forecasting Model ◽  
Spatially Distributed ◽  
Flash Flood Forecasting

scholarly journals Study of Beijiang catchment flash-flood forecasting model

2015 ◽  
Vol 368 ◽  
pp. 150-155 ◽  
Author(s):  
Y. Chen ◽  
J. Li ◽  
S. Huang ◽  
Y. Dong
Keyword(s):  
Flash Flood ◽  
Southern China ◽  
Flood Forecasting ◽  
Parameter Determination ◽  
Forecasting Model ◽  
Model Parameters ◽  
Human Beings ◽  
Pearl River Basin ◽  
Small Catchment ◽  
Flash Flood Forecasting

Abstract. Beijiang catchment is a small catchment in southern China locating in the centre of the storm areas of the Pearl River Basin. Flash flooding in Beijiang catchment is a frequently observed disaster that caused direct damages to human beings and their properties. Flood forecasting is the most effective method for mitigating flash floods, the goal of this paper is to develop the flash flood forecasting model for Beijiang catchment. The catchment property data, including DEM, land cover types and soil types, which will be used for model construction and parameter determination, are downloaded from the website freely. Based on the Liuxihe Model, a physically based distributed hydrological model, a model for flash flood forecasting of Beijiang catchment is set up. The model derives the model parameters from the terrain properties, and further optimized with the observed flooding process, which improves the model performance. The model is validated with a few observed floods occurred in recent years, and the results show that the model is reliable and is promising for flash flood forecasting.

A river flash flood forecasting model coupled with ensemble Kalman filter

2014 ◽  
Vol 9 (2) ◽  
pp. 178-192 ◽  
Author(s):  
N. Kimura ◽  
M.-H. Hsu ◽  
M.-Y. Tsai ◽  
M.-C. Tsao ◽  
S.-L. Yu ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Flash Flood ◽  
Flood Forecasting ◽  
Forecasting Model ◽  
Flash Flood Forecasting

2D hydraulic model integration to real-time flash flood forecasting chain

2012 ◽  
Author(s):  
C Girard ◽  
T Godfroy ◽  
M Erlich ◽  
E David ◽  
C Sorbet ◽  
...  
Keyword(s):  
Real Time ◽  
Flash Flood ◽  
Flood Forecasting ◽  
Hydraulic Model ◽  
Model Integration ◽  
Flash Flood Forecasting

scholarly journals Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region

2015 ◽  
Vol 368 ◽  
pp. 89-95 ◽  
Author(s):  
Z. Li ◽  
D. Yang ◽  
Y. Hong ◽  
Y. Qi ◽  
Q. Cao
Keyword(s):  
Flash Flood ◽  
Critical Role ◽  
Flood Forecasting ◽  
Three Gorges ◽  
Distributed Hydrological Model ◽  
Ground Clutter ◽  
Three Gorges Region ◽  
Physically Based ◽  
Precipitation Estimation ◽  
Flash Flood Forecasting

Abstract. Spatial rainfall pattern plays a critical role in determining hydrological responses in mountainous areas, especially for natural disasters such as flash floods. In this study, to improve the skills of flood forecasting in the mountainous Three Gorges Region (TGR) of the Yangtze River, we developed a first version of a high-resolution (1 km) radar-based quantitative precipitation estimation (QPE) consideration of many critical procedures, such as beam blockage analysis, ground-clutter filter, rain type identification and adaptive Z–R relations. A physically-based distributed hydrological model (GBHM) was established and further applied to evaluate the performance of radar-based QPE for regional flood forecasting, relative to the gauge-driven simulations. With two sets of input data (gauge and radar) collected during summer 2010, the applicability of the current radar-based QPE to rainstorm monitoring and flash flood forecasting in the TGR is quantitatively analysed and discussed.

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