scholarly journals KINEMATIC WAVE FLOW MODELS FOR RIVER BASIN RUNOFF SIMULATION

2008 ◽  
Vol 52 ◽  
pp. K1-K4 ◽  
Author(s):  
Michiharu SHIIBA ◽  
Yasuto TACHIKAWA ◽  
Yutaka ICHIKAWA
Keyword(s):  
River Basin ◽  
Wave Flow ◽  
Kinematic Wave ◽  
Runoff Simulation ◽  
Flow Models

Comparison of recorded rainfall with quantitative precipitation forecast in a rainfall-runoff simulation for the Langat River Basin, Malaysia

2011 ◽  
Vol 3 (3) ◽  
Author(s):  
Lawal Billa ◽  
Hamid Assilzadeh ◽  
Shattri Mansor ◽  
Ahmed Mahmud ◽  
Abdul Ghazali
Keyword(s):  
Response Time ◽  
River Basin ◽  
Flood Forecasting ◽  
Precipitation Forecast ◽  
Limited Area ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Noaa Avhrr ◽  
Quantitative Precipitation Forecast ◽  
Langat River

AbstractObserved rainfall is used for runoff modeling in flood forecasting where possible, however in cases where the response time of the watershed is too short for flood warning activities, a deterministic quantitative precipitation forecast (QPF) can be used. This is based on a limited-area meteorological model and can provide a forecasting horizon in the order of six hours or less. This study applies the results of a previously developed QPF based on a 1D cloud model using hourly NOAA-AVHRR (Advanced Very High Resolution Radiometer) and GMS (Geostationary Meteorological Satellite) datasets. Rainfall intensity values in the range of 3–12 mm/hr were extracted from these datasets based on the relation between cloud top temperature (CTT), cloud reflectance (CTR) and cloud height (CTH) using defined thresholds. The QPF, prepared for the rainstorm event of 27 September to 8 October 2000 was tested for rainfall runoff on the Langat River Basin, Malaysia, using a suitable NAM rainfall-runoff model. The response of the basin both to the rainfall-runoff simulation using the QPF estimate and the recorded observed rainfall is compared here, based on their corresponding discharge hydrographs. The comparison of the QPF and recorded rainfall showed R2 = 0.9028 for the entire basin. The runoff hydrograph for the recorded rainfall in the Kajang sub-catchment showed R2 = 0.9263 between the observed and the simulated, while that of the QPF rainfall was R2 = 0.819. This similarity in runoff suggests there is a high level of accuracy shown in the improved QPF, and that significant improvement of flood forecasting can be achieved through ‘Nowcasting’, thus increasing the response time for flood early warnings.

scholarly journals Kinematic wave hydrologic model of the Turbio River basin, Guanajuato, Mexico

2018 ◽  
Vol 10 (1) ◽  
pp. 33-47
Author(s):  
Gregorio Vargas-Castañeda ◽  
◽  
Laura Alicia Ibáñez-Castillo ◽  
Ramón Arteaga-Ramírez ◽  
Gustavo Arévalo-Galarza ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrologic Model ◽  
Kinematic Wave

scholarly journals Evaluation of TMPA Satellite Precipitation in Driving VIC Hydrological Model over the Upper Yangtze River Basin

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3230
Author(s):  
Bin Zhu ◽  
Yuhan Huang ◽  
Zengxin Zhang ◽  
Rui Kong ◽  
Jiaxi Tian ◽  
...  
Keyword(s):  
River Basin ◽  
Time Scales ◽  
Satellite Data ◽  
Yangtze River ◽  
Hydrological Model ◽  
Yangtze River Basin ◽  
Runoff Simulation ◽  
Satellite Precipitation ◽  
Upper Yangtze River ◽  
The Upper Yangtze River

Although the Tropical Rainfall Measurement Mission (TRMM) has come to an end, the evaluation of TRMM satellite precipitation is still of great significance for the improvement of the Global Precipitation Measurement (GPM). In this paper, the hydrological utility of TRMM Multi-satellite Precipitation Analysis (TMPA) 3B42 RTV7/V7 precipitation products was evaluated using the variable infiltration capacity (VIC) hydrological model in the upper Yangtze River basin. The main results show that (1) TMPA 3B42V7 had a reliable performance in precipitation estimation compared with the gauged precipitation on both spatial and temporal scales over the upper Yangtze River basin. Although TMPA 3B42V7 slightly underestimated precipitation, TMPA 3B42RTV7 significantly overestimated precipitation at daily and monthly time scales; (2) the simulated runoff by the VIC hydrological model showed a high correlation with the gauged runoff and lower bias at daily and monthly time scales. The Nash–Sutcliffe coefficient of efficiency (NSCE) value was as high as 0.85, the relative bias (RB) was −6.36% and the correlation coefficient (CC) was 0.93 at the daily scale; (3) the accuracy of the 3B42RTV7-driven runoff simulation had been greatly improved by using the hydrological calibration parameters obtained from 3B42RTV7 compared with that of gauged precipitation. A lower RB (14.38% vs. 66.58%) and a higher CC (0.87 vs. 0.85) and NSCE (0.71 vs. −0.92) can be found at daily time scales when we use satellite data instead of gauged precipitation data to calibrate the VIC model. However, the performance of the 3B42V7-driven runoff simulation did not improve in the same operation accordingly. The cause might be that the 3B42V7 satellite products have been adjusted by gauged precipitation. This study suggests that it might be better to calibrate the parameters using satellite data in hydrological simulations, especially for unadjusted satellite data. This study is not only helpful for understanding the assessment of multi-satellite precipitation products in large-scale and complex areas in the upper reaches of the Yangtze River, but also can provide a reference for the hydrological utility of the satellite precipitation products in other river basins of the world.

Steady Flow Approximations in Three-Dimensional Ship Motion Calculation

2007 ◽  
Vol 51 (03) ◽  
pp. 229-249 ◽  
Author(s):  
Booki Kim ◽  
Yung-Sup Shin
Keyword(s):  
Green Function ◽  
Wave Field ◽  
Steady Flow ◽  
Three Dimensional ◽  
Wave Flow ◽  
Steady Wave ◽  
Flow Models ◽  
Submerged Sphere ◽  
The Mean ◽  
Green Function Approach

When a ship advances at constant speed in waves, the steady flow interacts with the unsteady wave field generated by the ship's motion. The interaction between the steady flow and the unsteady wave field appears in so-called mj terms. The three different steady flow models, that is, free stream, double body flow, and steady wave flow, are considered for the realization of the mj terms. For completeness in a linear sense, the steady flow contributions are retained in a consistent manner in the expressions for the hydrodynamic and restoring forces, which can be derived from the integration of the linearized pressure over the mean wetted part of the hull surface. The steady trim and sinkage are also considered important in determining the mean wetted position. The numerical results are obtained using a three-dimensional panel method based on a translating and pulsating Green function approach. An efficient numerical method is applied for the accurate evaluation of the mj terms without deriving the second derivatives of the Green function. Numerical calculations have been made for a submerged sphere and a Wigley hull. It is found that the steady flow has strong influence on added masses and damping forces in heave and pitch at relatively low encounter frequencies, while its effect is not observed as significant in wave exciting forces. The importance of the steady flow effect is also pronounced in the peak values of heave and pitch motion responses. In comparison with semiana-lytical and experimental results, the double body and steady wave flows are found to be the proper choices for the steady flow approximation.

Development of a Flow Routing Model Including Inundation Effect for the Extreme Flood in the Chao Phraya River Basin, Thailand 2011

2013 ◽  
Vol 8 (3) ◽  
pp. 415-423 ◽  
Author(s):  
Supattana Wichakul ◽  
◽  
Yasuto Tachikawa ◽  
Michiharu Shiiba ◽  
Kazuaki Yorozu
Keyword(s):  
River Basin ◽  
Kinematic Wave ◽  
Flow Routing ◽  
Tank Model ◽  
Kinematic Wave Equation ◽  
Prediction Tools ◽  
Overbank Flow ◽  
Extreme Flood ◽  
Efficient Prediction ◽  
Chao Phraya River

In the second half of 2011, massive flooding in the lower part of the Yom and Nan River Basins and the Chao Phraya River Basin resulted in tremendous loss and adversely impacted on the livelihood, society, and economy of Thailand. The development of reliable and efficient prediction tools is important for prevent similar occurrences in the future. Consequently, this study thus aimed to develop an applicable distributed flow routing model including the inundation effect. A flow routing model using a kinematic wave equation was modified based on the concept of a diffusive tank model, which included the inundation effect. Overbank flow was estimated by using a broad crested weir equation. The inundation model had ten parameters that provided a good fit for observed and simulated discharge in 2011 at the C.2 Station with a Nash-Sutcliffe efficiency of 0.91.

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