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Application of the distributed runoff model to the Incheon catchment. GREEN TEAM Kakuta Fujiwara (Kyoto University) Lian Guey Ler (National University of Singapore) Jong Ok Seo (University of Incheon) Sang U k Cho (University of Incheon). Introduction. Introduction.
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Application of the distributed runoff model to the Incheon catchment GREEN TEAM Kakuta Fujiwara (Kyoto University) Lian Guey Ler (National University of Singapore) Jong Ok Seo (University of Incheon) Sang Uk Cho (University of Incheon)
Introduction Name: Kakuta Fujiwara (Leader) Nationality: Japan University: Kyoto University Grade: The first grade in the master’s course Major: Civil Engineering Scope of Study: Biological modeling of a food chain in a river
Introduction Name: Seo-Jong Ok Nationality: Korea University: Natinal University of Incheon Major: Civil and Environment Hydraulics Scope of Study: Flows of Floval sediment
Introduction Name: Cho-Sang Uk Nationality: Korea University: National University of Incheon Major: Civil and Environment Hydraulics Scope of Study: Flood dister management
Introduction Name: Ler Lian Guey Nationality: Singaporean University: National University of Singapore Major: Civil Engineering Scope of Study: Water Hydraulics
Japan Korea Singapore Progress of green team project Preparing data Composing DEM Simulate the study area Get a meeting
Geographic Information System (GIS) • Digital Elevation Map (DEM) • Triangulated Irregular Network (TIN)
Digital Elevation Map (DEM) TIN File ASCII DEM
Digital Elevation Map (DEM) • Purpose of DEM • Essential piece of information in determining the flow direction A A A’ B’ B B B’ A’
Runoff calculations • Black box • Unit hydrograph • Time sequence • Physical-based model • Lumped model • Storage function, Tank model • Distributed parameter model • Kinematic wave, etc.
precipitation evapo-transpiration surface runoff recovery flow waste water River flow infiltration groundwater runoff The distributed runoff model(Basic constitution) • watershed schematization • precipitation – evapotranspiration, runoff • water temperature surface river A layer B layer C layer D layer
Runoff in Hydro-BEAM River 1km 1km Kinematic wave model River flow Surface flow Surface A layer Vertical outlet B layer Horizontal outlet Linear storage model C layer D layer
Kinematic wave model Saint-Venant equations Energy equation Continuous equation A is cross-sectional flow area [m2], q is discharge [m3/s], t is time [s], x is longitudinal distance along a channel or surface [m], and r is lateral inflow per unit length of flow [m3/m.s] Kinematic wave Energy equation Continuous equation Manning low n is equivalent roughness coefficient i is slope
Linear Storage Model where S is storage amount [m] I is inflow [ms-1] O is outflow [ms-1] k1 ,k2 is outlet coefficient.
Channel network Sink Four directions Eight directions Gradient Gradient Gradient
Modeling of mesh Mountain Urban Paddy field Irrigation channel Drainage channel
Evapotranspiration Heat balance • Input radiation ; • Bulkformula ; • Laterant heat ; Thornthwaite
Flowchart The catchment data DEM Evapotranspiration data Flow direction Landuse data Rainfall data Result
Target area A C B
Catchment b a Central point
Rainfall data Rainfall in 2004 (mm) Rainfall in 2005 (mm)
Evapotranspiration data Thornthwaite method
Landuse Incheon is located in urban area. Meshes covered with urban landuse.
Point A A Result 1 20042005 A Point B C B 20042005 Point C 20042005
Conclusion • We applied the distributed runoff model to the Incheonkyo catchment. • In this project, members living in different countries cooperated with each other using internet. • Basically, Hydro-BEAM is designed to be applied for open channels, so we considered the other way, too.
Suggestion • Change the roughness
Change the roughness coefficient • before • after Occure Flood A cite
Change the roughness coefficient • before • after
Further Study • Checking the information of old pipe line and change of roughness coefficient • Analyze Hydrobeam • Checking the flood area when roughness coefficient is changed
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