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Approach• A priori estimation of parameters related to land-atmosphere interactions, i.e. soil and vegetationsystem, was tried usingGIS analysis. This isbased upon the idea thatA 0real situations nearA Bground surface areCrelatively easily reflectedin GIS with in situ and/orremotely-sensed data.
Development of basin-wide distributedparameterhydrologic modelStudy siteBasehydrologicmodelEvapotranspirationmoduleSoil-moistureaccountingmoduleLittleWashita, OK,USAPRMSNoilhan-Planton(N-P)PRMS originalKhlongLuang,ThailandPRMSN-PModified N-P(Ver.1)Kusaki-dam& ShiobaradamPWRI modelN-PModified N-P(Ver.2)
- Page 3: Contents of Project-22.1 Remote Sen
- Page 6 and 7: Studies at PWRIrelated to2.1 Remote
- Page 8 and 9: Study area (Chuetsu District of the
- Page 10 and 11: Relationship between normalizedsumm
- Page 12 and 13: SWE-rank classification map(1997-98
- Page 14 and 15: Studies at PWRIrelated to2.1 Remote
- Page 16 and 17: 2. River monitoring1)Super high-res
- Page 18 and 19: Land cover classification and detec
- Page 20 and 21: Contents of TLS studies at PWRI•
- Page 22 and 23: Topography mapping with TLSwith thr
- Page 24 and 25: Investigation of river-bed material
- Page 26 and 27: Potential to mapping riverbed topog
- Page 28 and 29: Main water-stage observatoriesnear
- Page 30 and 31: Study AreaCambodia, Tonle Sap Lake
- Page 33 and 34: Estimation of flood inundationof th
- Page 35: BackgroundDistributed-parameter mod
- Page 39 and 40: Characteristics of hydrologicproces
- Page 41 and 42: Actual evapotranspiration (Ea)= Pen
- Page 43 and 44: Net Radiation: Rn ’ ’”
- Page 45 and 46: Soil moisture accounting (wet perio
- Page 48 and 49: Location of the254km 2Kusaki-Damwat
- Page 50 and 51: River-channel networks for Kusaki-D
- Page 52 and 53: NDVI map for the Kusaki-Dam watersh
- Page 54 and 55: Vegetation cover ratio map based on
- Page 56 and 57: Long-termstreamflowsimulation witht
- Page 58 and 59: Long-term streamflow simulationwith
- Page 60 and 61: Characteristics of WEHY model• He
- Page 62 and 63: Model computational unitsSoilparame
- Page 64 and 65: Field survey for ground-truth data
- Page 66 and 67: Verification cases of WEHY modelat
- Page 68 and 69: Conclusions• A priori estimation
- Page 70 and 71: General weather situation• Autu
- Page 72 and 73: 1 Collect the rainfall data Ho
- Page 74 and 75: 2DD (Depth-Duration) analysis• So
- Page 76 and 77: 2DD analysis (based on hour data)Ra
- Page 78 and 79: 24-hour maximum areal rainfall extr
- Page 80 and 81: Analysis of the Tokai-storm DAD cur
- Page 82 and 83: Conclusion (1 of 2)• Tokai-storm
- Page 84: Future subjects• Establishment of
Approach• A priori estimation of parameters related to land-atmosphere interactions, i.e. soil and vegetationsystem, was tried usingGIS analysis. This isbased upon the idea thatA 0real situations nearA Bground surface areCrelatively easily reflectedin GIS with in situ and/orremotely-sensed data.
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