An Example on HydrologicalModeling Training toContribute AWCI Capacity
Building

Oliver SAAVEDRA
Earth Observation Data Integration and Fusion Research Initiative(EDITORIA)
Department of Civil Engineering

DHM Training course
Objective: Assist users to be familiar with themodel, input data preparation and understandingof the hydrological modeling• Simulate floods events• Track spatial variability of rainfall, stream flow
• Simulate long-term climate change effects• Quantify water resources availability• Optimize WRM

Distributed Hydrological Model• In order to take advantage of remotesensing data and spatially distributed
rainfall we suggest to use a Distributed
Hydrological Model• A grid-based version DHM wasdeveloped at University of Tokyo byDawen Yang
• From the initial version is has being
constantly improved according to needs

Some Facts about GBHM
• Physically based using the governing
equations• Low execution cost due to its 1-D distributionfunction• Capable to simulate large river basins such
us Chao Phraya and even Yellow River• Flexibility to be coupled with hydraulicstructures such as dams, levees, gates, etc.
Also with LSS, Atmospheric models,optimization.
• We do have an existing training course

Distributed Hydrological Model• A grid-based version of GBHM (by D. Yang)• Physically based & 1-D distribution function
Precipitation

outletdx

Transpirationx
Flow intervaldAC(x)Evaporation
Infiltration

GWβl
HILLSLOPE ELEMENT..backScope of the Training Course• Class_0: GETTING STARTED WITH ARCINFO• Class_1: TO DELINEATE A WATERSHED FROM A DEM• Class_2: TO DELINEATE SUBBASINS WITH PFAFSTETTER
CODING SYSTEM• Class_3: TO DEFINE THE GEO-MORPHOLOGY OF ALL SUBBASINS• Class_4: TO PREPARE INPUT RAIN GAUGE DATA• Class_5: TO PREPARE SPATIAL INPUT DATA &PARAMETERS• Class_6: TO COMPLETE PREPARING SPATIAL INPUT DATA• Class_7: TO UNDERSTAND THE STRUCTURE OF GBHM2CODE• Class_8: TO EXAMINE GBHM2 CODE AND SUBROUTINES• Class_9: TO CALIBRATE MODEL PARAMETERS

Required Software• Arc/info v. 8.2 (complete version incl.
GRID) from ESRI, GIS mainly for rasterdata• ArcView 3.2(with spatial analyst ext.) fromESRI, GIS mainly for vector data
• Compaq Visual Fortran compiler v.6

Asa River at Takahata discharge gauge
800
700
Simulated

500

Observed

m3/s

600

400
300
200
100

2001

8/29.9z8/30.19z

8/27.23z

8/25.3z8/26.13z

8/22.7z

8/23.17z

8/20.21z

8/18.1z8/19.11z

8/15.5z8/16.15z

8/12.9z

8/13.19z

8/10.23z

8/8.3z8/9.13z8/5.7z8/6.17z8/3.21z8/2.11z8/1.1z0

Applications of DHM
Geographic Information
System
Arc/info v.8.2

Programming Language
Fortran 90/95

Geomorphology
Based
HydrologicalModeling (code)
Coupled with
optimization
algorithms

CoupledWith LSS

Coupledwith
Snowmeltmodel

Couplingwithinundation
areas

Improve water resources management

GLOBAL DATASETSRTM90 m DEM

FAO
Soil Map

DERIVEDINPUT DATA & PARAMETERS•Elevation & slope•River channel network•Geomorphology properties•Sub- basins delineation•Soil unit
•Sat. Hydraulic Conductivity•Sat. Soil Moisture•Alpha & water N

LOCALDATA SET

Fine DEM

DigitalSoil Map

Satellite
Land use•Max. canopy storage•Max. surface storage•Vegetation coverage

DigitalLand use

NDVI or
LAI

Vegetation indexes
e.g. Max. Leaf Area Index

Field work
Inspection

SatelliteRainfall

Spatial distributed rainfallObserved rainfall•Rain gauge•RadarSatellite
Imagery•River morphology•River cross- sections

Measured Riverchannels

Globaldischarge

River stream flow

Observed
River discharge

Satellite
Imagery

Estimation of overflow

Flood Inundationmaps

Thanks!