Japan PUB , S A K E S uimon* A dventure for K nowledge E volution *Suimon means hydrology

1. Japan PUB,SAKE Suimon* Adventure for Knowledge Evolution *Suimon means hydrology http://flood.dpri.kyoto-u.ac.jp/pub/

2. 水害レポート2004より

3. The stage recorded higher than warning level in 2004. Over Design Level Over Warning Level Over Precaution Level After Flood Disaster Report, 2004

4. Fukui Flood Disaster, July 2004 Casualties: 5 Completely destroyed houses: 66 Partly destroyed houses: 135 Inundated houses: 13,726 Maximum Hourly Rainfall 87 mm Daily Rainfall 285 mm

5. Simulated hydrographs of 2004 flood using identified parameters with historical floods

6. Climate, Topography, Land use, Water Use, Scale, Available Data etc. are quite different. Knowledge, Information, Methods, Models in Gauged Basins Trans-Regional Hydrological Models • Hydrologic Prediction in Ungauged Basins

7. Development of transferable hydrologic watershed models (HWMs) and land-surface models (LSMs) applicable across regions and scales, considering interactions between natural variation and anthropogenic activities • Development of transferable frequency estimation methods of hydrologic extremes for ungauged basins • Development of down-scaling methods for transferring atmospheric model products and global hydrologic information to local scale for watershed managements in ungauged basins

8. PUB Research Themes 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 approachesHuub Savenije, The Netherlands; Witold Krajewski, USA; John Gibson, Canada; Theme 5.New hydrological theoryPeter 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

9. 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 diagnosticsEstablishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indices Theme 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 analysis 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 Theme 7. National Working Groups and PUB Tech TransferJapan PUB

10. Gauged Basin Establishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indices Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysis Human Activity Local Scale Global Scale Relating hydrologic diversity to landscape elements to establish a realistic PUB model Global-scale hydrological modeling considering interaction between natural variation and anthropogenic activities, andDownscaling of global hydrologic information for local scale watershed managements in ungauged basins Dam reservoir operation monitoring with remote sensing for large scale hydrologic modeling Ungauged Basin

11. Climate, Topography, Land use, Water Use, Scale, Available Data etc. are quite different. Knowledge, Information, Methods, Models in Gauged Basins Trans-Regional Hydrological Models • Hydrologic Prediction in Ungauged Basins

12. National WGs • Chinese PUB • Japan PUB • Korean PUB • Nepalese PUB • Thai PUB

13. Mae Cham watershed at Thailand(Tebakari, 2005 at PUB Japan National WS) D.A.; 3,853 Sq km

14. Blind TestModel Inter-comparison University of Yamanashi (Ari, 2005 at PUB Japan National WS)

15. Case study: Mae Chaem Basin PERSIANN TRMM GPCP NCDC ? Gauges • Input data • Models • Parameters • Tests BTOPMC X2 …… Xn X1 Expert’s judgment Proxy basin. ? Limited Obs. 5 years flow volume 5 years flow volume Annual flow volume Annual flow volume Monthly flow volume Monthly flow volume Annual flood peak Annual flood peak Continues hydrograph Continues hydrograph

16. 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 diagnosticsEstablishment of an assessing method for hydrologic model performance through a development of uncertainty evaluation indices Theme 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 analysis 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 Theme 7. National Working Groups and PUB Tech TransferJapan PUB

17. Theme 1. Basin inter-comparison and classification Theme 2. Conceptualization of process heterogeneity Relating hydrologic diversity to landscape elements to establish a realistic PUB model • 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 Processes controlling hydrological response Spatial Scale Landscape elements 1 ha 10 ha 1 km2 10 km2 100 km2 1000 km2 ・Geomorphology ・Geology ・Climate ・Vegetation ・Land Cover Hillslope processes Channel processes Rainfall variability

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

19. 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

20. Theme 5. New hydrological theory Estimating frequencies of hydrologic extreme events in ungauged basins by using scaling, regionalization, and historical record analysis Kuzuha et al., 2004

21. Runoff Generation Stream Network Flow Routing 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 Distributed Hydrological Model YHyM with reservoir operation model