Japan PUBJapan PUB, SAKE

Suimon* Adventure for Knowledge Evolution

*Suimon means hydrology

http://flood.dpri.kyoto-u.ac.jp/pub/

水害レポート 2004 より

After Flood Disaster Report, 2004

The stage recorded higher than warning level in 2004.

Over Design LevelOver Warning LevelOver Precaution Level

Fukui Flood Disaster, July 2004Fukui Flood Disaster, July 2004

Maximum Hourly Rainfall 87 mmMaximum Hourly Rainfall 87 mm

Daily Rainfall 285 mmDaily Rainfall 285 mm

Casualties: 5Completely destroyed houses: 66Partly destroyed houses: 135Inundated houses: 13,726

Simulated hydrographs of 2004 flood using identified parameters with historical floods

Climate, Topography, Land use, Water Use, Scale, Available Data etc. are quite different.

Knowledge, Information, Methods, Models in Gauged Basins

Hydrologic Prediction in Ungauged Basins

Trans-Regional Hydrological Trans-Regional Hydrological ModelsModels

Development of transferable hydrologic Development of transferable hydrologic watershed models (HWMs) and land- watershed models (HWMs) and land-surface models (LSMs) applicable across surface models (LSMs) applicable across regions and scales, considering regions and scales, considering interactions between natural variation interactions between natural variation and anthropogenic activitiesand anthropogenic activities

Development of transferable frequency Development of transferable frequency estimation methods of hydrologic estimation methods of hydrologic extremes for ungauged basinsextremes for ungauged basins

Development of down-scaling methods Development of down-scaling methods for transferring atmospheric model for transferring atmospheric model products and global hydrologic products and global hydrologic information to local scale for watershed information to local scale for watershed managements in ungauged basinsmanagements in ungauged basins

Theme 1. Basin inter-comparison and classificationRoss Woods, NZ; Marc Stieglitz, USA; Günter Blöschl, Austria

Theme 2. Conceptualization of process heterogeneityStefan Uhlenbrook, The Netherlands; Chris Soulsby, UK; Simon Lorentz, South Africa

Theme 3. Uncertainty analyses and model diagnosticsThorsten Wagener, USA; Jim Freer, UK; Erwin Zehe, Germany

Theme 4. Develop and use of new data collection approaches Huub Savenije, The Netherlands; Witold Krajewski, USA; John Gibson, Canada;

Theme 5. New hydrological theory Peter Troch, The Netherlands; Jim Kirchner, USA; Louise Heathwaite, UK

Theme 6. New  model approachesDavid Post, Australia; Barry Croke, Australia; John Pomeroy, Canada;

Theme 7. National Working Groups and PUB Tech TransferIan Littlewood, UK; Yasuto TACHIKAWA, Japan; Chris Spence, Canada

PUB Research Themes

Theme 7. National Working Groups and PUB Tech Transfer

Japan PUB

Theme 1. Basin inter-comparison and classificationRelating hydrologic diversity to landscape elements to establish a realistic PUB model

Theme 2. Conceptualization of process heterogeneityRelating hydrologic diversity to landscape elements to establish a realistic PUB model

Theme 3. Uncertainty analyses and model diagnostics Establishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indicesTheme 4. Develop and use of new data collection approachesDam reservoir operation monitoring with remote sensing for large scale hydrologic modeling

Theme 5. New hydrological theory Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysisTheme 6. New  model approachesGlobal-scale hydrological modeling considering interaction between natural variation and anthropogenic activities, and Downscaling of global hydrologic information for local scale watershed managements in ungauged basins

Gauged BasinGauged BasinEstablishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indices

LocalLocalScaleScale

Human ActivityHuman Activity

Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysis

Relating hydrologic diversity to landscape elements to establish a realistic PUB model

Dam reservoir operation monitoring with remote sensing for large scale hydrologic modeling

GlobalGlobalScaleScale

Ungauged BasinUngauged Basin

Global-scale hydrological modeling considering interaction between natural variation and anthropogenic activities, and Downscaling of global hydrologic information for local scale watershed managements in ungauged basins

Climate, Topography, Land use, Water Use, Scale, Available Data etc. are quite different.

Knowledge, Information, Methods, Models in Gauged Basins

Hydrologic Prediction in Ungauged Basins

Trans-Regional Hydrological Trans-Regional Hydrological ModelsModels

National WGs

Chinese PUBJapan PUBKorean PUBNepalese PUBThai PUB

Theme 1 NWG 1

NWG 2

NWG ...

NWG

n

Theme 2

Theme ...

Theme 6

Theme 7SSG

Theme 1 NWG 1

NWG 2

NWG ...

NWG

n

Theme 2

Theme ...

Theme 6

Theme 7SSG

Mae Cham watershed at Thailand(Tebakari, 2005 at PUB Japan National WS)

25 Major Watersheds in ThailandMae Nam SalawinMae Nam KhongMae Nam KokMae Nam ChiMae Nam MunMae Nam PingMae Nam WangMae Nam YomMae Nam NanMae Nam Chao PhrayaMae Nam Sakae KrangMae Nam PasakMae Nam ThachinMae Nam KlongMae Nam PrachinMae Nam Bang PakongTonle SapEast Coast GulfMae Nam Phet-BuriWest Coast GulfPeninsula East CoastMae Nam TapiThale Sap SongkhlaMae Nam PattaniPeninsula West Coast

Mae Cham Watershed

þElevation(m)300 - 800801 - 11001101 - 14001401 - 18001801 - 2600

Mae Cham Main Riverþ P.14 Station

D.A.; 3,853 Sq km

Blind TestModel Inter-comparison

University of Yamanashi(Ari, 2005 at PUB Japan National WS)

Case study: Mae Chaem Basin Input data

Models

Parameters

Tests

TRMMPERSIANN GPCP NCDC Gauges

BTOPMC X1 X2 Xn

Expert’s judgment Proxy basin.Limited Obs.

……

5 years flow volume

Annual flow volume

Monthly flow volume

?

?

Annual flood peak

Continues hydrograph

5 years flow volume

Annual flow volume

Monthly flow volume

Annual flood peak

Continues hydrograph

Theme 7. National Working Groups and PUB Tech Transfer

Japan PUB

Theme 1. Basin inter-comparison and classificationRelating hydrologic diversity to landscape elements to establish a realistic PUB model

Theme 2. Conceptualization of process heterogeneityRelating hydrologic diversity to landscape elements to establish a realistic PUB model

Theme 3. Uncertainty analyses and model diagnostics Establishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indicesTheme 4. Develop and use of new data collection approachesDam reservoir operation monitoring with remote sensing for large scale hydrologic modeling

Theme 5. New hydrological theory Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysisTheme 6. New  model approachesGlobal-scale hydrological modeling considering interaction between natural variation and anthropogenic activities, and Downscaling of global hydrologic information for local scale watershed managements in ungauged basins

1 ha10 ha1 km2

10 km2

100 km2

1000 km2

Spatial Scale

Hillslope processes

Processes controlling hydrological response

Channel processes

Rainfall variability

Landscape elements

・Geomorphology・ Geology・ Climate・ Vegetation・ Land Cover

Understand how much the Hydro-diversity and search criteria for Classification

Understand how much the Hydro-diversity depends on spatial scale and landscape elements

Establish a Model for PUB with Realistic Parameters and evaluate its uncertainty for each Classification and various spatial scales

Theme 1. Basin inter-comparison and classificationTheme 2. Conceptualization of process heterogeneity Relating hydrologic diversity to landscape elements to establish a realistic PUB model

Theme 3. Uncertainty analyses and model diagnostics Establishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indices

dV

T/PAltimeter

TerraMODISH A

A

H０

A０

A1

dV

H – A curveH

H

T/P Altimeter

H

H1

dV

T/PAltimeter

TerraMODISH A

A

H０

A０

A1

dV

H – A curveH

H

T/P Altimeter

H

H1

Schematic diagram of water storage monitoring by satellite (Magome et al., 2003)

Theme 4. Develop and use of new data collection approachesDam reservoir operation monitoring with remote sensing for large scale hydrologic modeling

Magome at Japan PUB National WS, 2005

Kuzuha et al., 2004

Theme 5. New hydrological theory Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysis

Muskingum-Cunge

Qout

Qin

Flow Routing

TOPMODEL ConceptFlow Generation

PE

baseQ

Qsurf

β

Quasi-Stream Network

Block-wise Use

Flow Flow RoutingRouting

Stream NetworkStream Network

Runoff Runoff GenerationGeneration

Distributed Hydrological Model

YHyMYHyM with reservoir operation model

Theme 6. New  model approachesGlobal-scale hydrological modeling considering interaction between natural variation and anthropogenic activities, and Downscaling of global hydrologic information for local scale watershed managements in ungauged basins

Ishidaira at Japan PUB National WS, 2005