DEVELOPMENT OF FLOOD DISCHARGE ESTIMATION METHOD USING NUMERICAL FLOAT MODEL AND DIEX METHOD, AND IT’S APPLICATION FOR RIVERS

2019 ◽  
Vol 75 (2) ◽  
pp. I_625-I_630
Author(s):  
Ryosuke AKOH ◽  
Shiro MAENO ◽  
Akito NAKAYAMA ◽  
Keisuke YOSHIDA
Keyword(s):  
Estimation Method ◽  
Flood Discharge ◽  
Discharge Estimation

Free-flow discharge estimation method for Piano Key weir geometries

2018 ◽  
Vol 19 ◽  
pp. 160-167 ◽  
Author(s):  
B.M. Crookston ◽  
R.M. Anderson ◽  
B.P. Tullis
Keyword(s):  
Estimation Method ◽  
Free Flow ◽  
Flow Discharge ◽  
Piano Key Weir ◽  
Discharge Estimation

scholarly journals A study on the derivation of a mean velocity formula from Chiu's velocity formula and bottom shear stress

2011 ◽  
Vol 8 (4) ◽  
pp. 6419-6442 ◽  
Author(s):  
T. H. Choo ◽  
I. J. Jeong ◽  
S. K. Chae ◽  
H. C. Yoon ◽  
H. S. Son
Keyword(s):  
Shear Stress ◽  
Flow Rate ◽  
Estimation Method ◽  
Maximum Velocity ◽  
Mean Velocity ◽  
River Bed ◽  
The Mean ◽  
Bed Slope ◽  
Discharge Estimation ◽  
Discrepancy Ratio

Abstract. This study proposed a new discharge estimation method using a mean velocity formula derived from Chiu's 2D velocity formula of probabilistic entropy concept and the river bed shear stress of channel. In particular, we could calculate the mean velocity, which is hardly measurable in flooding natural rivers, in consideration of several factors reflecting basic hydraulic characteristics such as river bed slope, wetted perimeter, width, and water level that are easily obtainable from rivers. In order to test the proposed method, we used highly reliable flow rate data measured in the field and published in SCI theses, estimated entropy M from the results of the mean velocity formula and, at the same time, calculated the maximum velocity. In particular, we obtained phi(M) expressing the overall equilibrium state of river through regression analysis between the maximum velocity and the mean velocity, and estimated the flow rate from the newly proposed mean velocity formula. The relation between estimated and measured discharge was analyzed through the discrepancy ratio, and the result showed that the estimate value was quite close to the measured data.

A fast method of flood discharge estimation

2004 ◽  
Vol 18 (9) ◽  
pp. 1671-1684 ◽  
Author(s):  
Yen-Chang Chen ◽  
Chao-Lin Chiu
Keyword(s):  
Fast Method ◽  
Flood Discharge ◽  
Discharge Estimation

scholarly journals Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products

2019 ◽  
Vol 11 (3) ◽  
pp. 252 ◽  
Author(s):  
Nasreddine Belabid ◽  
Feng Zhao ◽  
Luca Brocca ◽  
Yanbo Huang ◽  
Yumin Tan
Keyword(s):  
Real Time ◽  
Flood Forecasting ◽  
High Flow ◽  
Flow Conditions ◽  
Satellite Precipitation ◽  
Flood Discharge ◽  
Precipitation Measurement ◽  
Flood Disasters ◽  
The Difference ◽  
Discharge Estimation

Floods, storms and hurricanes are devastating for human life and agricultural cropland. Near-real-time (NRT) discharge estimation is crucial to avoid the damages from flood disasters. The key input for the discharge estimation is precipitation. Directly using the ground stations to measure precipitation is not efficient, especially during a severe rainstorm, because precipitation varies even in the same region. This uncertainty might result in much less robust flood discharge estimation and forecasting models. The use of satellite precipitation products (SPPs) provides a larger area of coverage of rainstorms and a higher frequency of precipitation data compared to using the ground stations. In this paper, based on SPPs, a new NRT flood forecasting approach is proposed to reduce the time of the emergency response to flood disasters to minimize disaster damage. The proposed method allows us to forecast floods using a discharge hydrograph and to use the results to map flood extent by introducing SPPs into the rainfall–runoff model. In this study, we first evaluated the capacity of SPPs to estimate flood discharge and their accuracy in flood extent mapping. Two high temporal resolution SPPs were compared, integrated multi-satellite retrievals for global precipitation measurement (IMERG) and tropical rainfall measurement mission multi-satellite precipitation analysis (TMPA). The two products are evaluated over the Ottawa watershed in Canada during the period from 10 April 2017 to 10 May 2017. With TMPA, the results showed that the difference between the observed and modeled discharges was significant with a Nash–Sutcliffe efficiency (NSE) of −0.9241 and an adapted NSE (ANSE) of −1.0048 under high flow conditions. The TMPA-based model did not reproduce the shape of the observed hydrographs. However, with IMERG, the difference between the observed and modeled discharges was improved with an NSE equal to 0.80387 and an ANSE of 0.82874. Also, the IMERG-based model could reproduce the shape of the observed hydrographs, mainly under high flow conditions. Since IMERG products provide better accuracy, they were used for flood extent mapping in this study. Flood mapping results showed that the error was mostly within one pixel compared with the observed flood benchmark data of the Ottawa River acquired by RadarSat-2 during the flood event. The newly developed flood forecasting approach based on SPPs offers a solution for flood disaster management for poorly or totally ungauged watersheds regarding precipitation measurement. These findings could be referred to by others for NRT flood forecasting research and applications.

scholarly journals Flood Discharge Estimation using Wavelet Transform (Case Study: Tamer Watershed)

2015 ◽  
Vol 129 (9) ◽  
pp. 9-13
Author(s):  
Bagher Heidarpour ◽  
Sajad Shahabi ◽  
Bahman Panjalizadeh ◽  
Aziz Hosseinnezhad
Keyword(s):  
Wavelet Transform ◽  
Flood Discharge ◽  
Discharge Estimation
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