scholarly journals Building of a Large Grid Based Runoff Simulation System and its Application to the Shiguang River Basin in China

1999 ◽  
Vol 43 ◽  
pp. 13-18
Author(s):  
Takahiro KAWAKAMI ◽  
Yasuto TACHIKAWA ◽  
Yutaka ICHIKAWA ◽  
Michiharu SHIIBA
Keyword(s):  
River Basin ◽  
Simulation System ◽  
Runoff Simulation ◽  
Grid Based ◽  
Large Grid

Application and comparison of different grid-based hydrological models in the Laoha River basin

2009 ◽  
Author(s):  
Xingze Wang ◽  
Xiumin Song ◽  
Yunhong Xue ◽  
Peng Li ◽  
Linlong Bai ◽  
...  
Keyword(s):  
River Basin ◽  
Hydrological Models ◽  
Grid Based

scholarly journals Sensitivity Analysis to Investigate the Reliability of the Grid-Based Rainfall-Runoff Model

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1839 ◽  
Author(s):  
Mun-Ju Shin ◽  
Yun Choi
Keyword(s):  
Water Movement ◽  
Parameter Sensitivity ◽  
Low Flow ◽  
Rainfall Runoff ◽  
Runoff Simulation ◽  
Rainfall Events ◽  
Flow Calculation ◽  
Rainfall Runoff Model ◽  
Runoff Model ◽  
Grid Based

This study aimed to assess the suitability of the parameters of a physically based, distributed, grid-based rainfall-runoff model. We analyzed parameter sensitivity with a dataset of eight rainfall events that occurred in two catchments of South Korea, using the Sobol’ method. Parameters identified as sensitive responded adequately to the scale of the rainfall events and the objective functions employed. Parameter sensitivity varied depending on rainfall scale, even in the same catchment. Interestingly, for a rainfall event causing considerable runoff, parameters related to initial soil saturation and soil water movement played a significant role in low flow calculation and high flow calculation, respectively. The larger and steeper catchment exhibited a greater difference in parameter sensitivity between rainfall events. Finally, we found that setting an incorrect parameter range that is physically impossible can have a large impact on runoff simulation, leading to substantial uncertainty in the simulation results. The proposed analysis method and the results from our study can help researchers using a distributed rainfall-runoff model produce more reliable analysis results.

scholarly journals Simulation of dissolved nutrient export from the Dongjiang river basin with a grid-based NEWS model

2018 ◽  
Vol 38 ◽  
pp. 01051
Author(s):  
Qiangqiang Rong ◽  
Meirong Su ◽  
Zhifeng Yang ◽  
Yanpeng Cai ◽  
Wencong Yue ◽  
...  
Keyword(s):  
River Basin ◽  
Inorganic Nitrogen ◽  
Fertilizer Application ◽  
Main Stream ◽  
Nutrient Export ◽  
Biological Fixation ◽  
Nitrogen And Phosphorus ◽  
Model Framework ◽  
Dongjiang River ◽  
Grid Based

In this research, a grid-based NEWS model was proposed through coupling the geographic information system (GIS) with the Global NEWS model framework. The model was then applied to the Dongjiang River basin to simulate the dissolved nutrient export from this area. The model results showed that the total amounts of the dissolved nitrogen and phosphorus exported from the Dongjiang River basin were approximately 27154.87 and 1389.33 t, respectively. 90 % of the two loads were inorganic forms (i.e. dissolved inorganic nitrogen and phosphorus, DIN and DIP). Also, the nutrient export loads did not evenly distributed in the basin. The main stream watershed of the Dongjiang River basin has the largest DIN and DIP export loads, while the largest dissolved organic nitrogen and phosphorus (DON and DOP) loads were observed in the middle and upper stream watersheds of the basin, respectively. As for the nutrient exported from each subbasin, different sources had different influences on the output of each nutrient form. For the DIN load in each subbasin, fertilization application, atmospheric deposition and biological fixation were the three main contributors, while eluviation was the most important source for DON. In terms of DIP load, fertilizer application and breeding wastewater were the main contributors, while eluviation and fertilizer application were the two main sources for DOP.

scholarly journals APPLICATION OF A GRID-BASED HYDROLOGICAL CYCLE ANALYSIS MODEL TO TAMA RIVER BASIN

2003 ◽  
Vol 47 ◽  
pp. 199-204
Author(s):  
Takuma HADANO ◽  
Yasuyuki TAKAGI ◽  
Noriyuki NAKASHIMA ◽  
Shigeru NAKAMURA ◽  
Srikantha HERATH
Keyword(s):  
River Basin ◽  
Hydrological Cycle ◽  
Analysis Model ◽  
Grid Based

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.

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