A grid-based KIneMatic wave STOrm Runoff Model (KIMSTORM) for flood watch of Korea Water Resources Corporation

2008 ◽  
Author(s):  
In Kyun Jung ◽  
Hyung Jin Shin ◽  
Geun Ae Park ◽  
Seong Joon Kim
Keyword(s):  
Water Resources ◽  
Storm Runoff ◽  
Kinematic Wave ◽  
Runoff Model ◽  
Grid Based

Application of distributed KIneMatic wave STOrm Runoff Model (KIMSTORM) for flood simulation considering dam release in the NamHan river basin of Korea

2014 ◽  
Vol 13 (2) ◽  
pp. 167-177 ◽  
Author(s):  
In-Kyun Jung ◽  
Dong-Ryul Lee ◽  
Jong-Yoon Park ◽  
Geun-Ae Park ◽  
Seong-Joon Kim
Keyword(s):  
River Basin ◽  
Storm Runoff ◽  
Kinematic Wave ◽  
Flood Simulation ◽  
Runoff Model

scholarly journals Kinematic wave modeling in water resources

Eos ◽  
1998 ◽  
Vol 79 (16) ◽  
pp. 199-199
Author(s):  
P. Julien
Keyword(s):  
Water Resources ◽  
Kinematic Wave ◽  
Wave Modeling

Discussion of “Urban Storm Runoff Model”

1978 ◽  
Vol 104 (9) ◽  
pp. 1372-1373
Author(s):  
Stanley S. Butler
Keyword(s):  
Storm Runoff ◽  
Runoff Model ◽  
Urban Storm

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 A PROPOSAL OF TOKYO STORM RUNOFF MODEL FOR AN URBAN CATCHMENT USING URBAN LANDSCAPE GIS DELINEATION

2011 ◽  
Vol 67 (4) ◽  
pp. I_517-I_522 ◽  
Author(s):  
Hideo AMAGUCHI ◽  
Akira KAWAMURA ◽  
Tadakatsu TAKASAKI ◽  
Naoko NAKAGAWA
Keyword(s):  
Urban Landscape ◽  
Storm Runoff ◽  
Urban Catchment ◽  
Runoff Model
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