Distributed Hydrological Model for Fuji River Basin

Yao, Huaxia; Terakawa, Akira

doi:10.1061/(asce)1084-0699(1999)4:2(108)

Cited by 12 publications

(5 citation statements)

References 11 publications

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“…peak vs base flows) using a distributed hydrological model (Yao & Hashino, 2001) will be the focus of future studies. With the estimated annual water balance components, a global regression interpolator was applied to Fuji River basin in central Japan (Yao & Terakawa, 1999) and a local spline interpolator was applied to Hiji River basin in Shikoku Island (Yao & Hashino, 2001). These two interpolators were then applied to the whole Shikoku Island for inter-comparison.…”

Section: Détermination De Bilans Hydriques Spatialisés Pour Des Sitesmentioning

confidence: 99%

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Determining Spatially-Distributed Annual Water Balances for Ungauged Locations on Shikoku Island, Japan: A Comparison of Two Interpolators/D�termination de Bilans Hydriques Spatialis�s pour des Sites Non-Jaug�s de L'?le de Shikoku, au Japon: Comparaison de Deux Interpolateurs

Yao

Creed²

2005

hysj

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Methods were evaluated for interpolating precipitation (P), evapotranspiration (ET), and runoff (RO) at ungauged points on Shikoku Island, Japan, using data gathered from gauged stations on the same island. Two methods were examined: a "local" cubic spline interpolator, which, for a given point, fitted the function exactly to nearby gauged data points; and a "global" multivariate regression interpolator, which fitted the function to all gauged data points based on their topographic positions (i.e. latitude, longitude, altitude). Local and global interpolators did not generate similar results for P and temperature (T). The spatial density of gauged data points used in the interpolation affected the performance of the interpolators. With any given density of gauged data points included in the interpolation, the local interpolator outperformed the global interpolator. The findings indicate that local interpolators are more accurate predictors of the spatial distribution of water balance components in mountainous regions such as Shikoku Island.Key words evapotranspiration; interpolation; Japan; precipitation; runoff; spatial distribution; ungauged basin; water balance Détermination de bilans hydriques spatialisés pour des sites nonjaugés de l'Īle de Shikoku, au Japon: comparaison de deux interpolateurs Résumé Des méthodes d'interpolation de la précipitation (P), de l'évapotranspiration (ET) et de l'écoulement (D) ont été évaluées pour des points sans observations de l'Ile de Shikoku, au Japon, en utilisant des données fournies par des stations d'observation de la même île. Deux méthodes ont été examinées: un interpolateur spline cubique "local" qui, pour un point donné, ajuste la fonction strictement aux points d'observation du voisinage; et un interpolateur de régression multivariée "global", qui ajuste la fonction à tous les points d'observation, compte tenu de leur position topographique (i.e. latitude, longitude et altitude). Les deux interpolateurs, local et global, ont généré des résultats différents, aussi bien pour P que pour la température (T). La densité spatiale des points d'observation utilisés dans l'interpolation a eu de l'influence sur la performance des interpolateurs. Pour une densité de points d'observation donnée, quelle qu'elle soit, l'interpolateur local surpasse l'interpolateur global. Les résultats indiquent que les interpolateurs locaux sont des indicateurs plus précis pour la prévision de la distribution spatiale des composantes du bilan hydrique dans des régions montagneuses semblables à l'Ile de Shikoku.

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Section: Détermination De Bilans Hydriques Spatialisés Pour Des Sitesmentioning

confidence: 99%

“…For the global interpolator, a multivariate regression model was developed based on the assumption that P a and ET a were a function of geographical features (Yao & Terakawa, 1999;Yao & Hashino, 2000). For simplicity, as few geographical features as possible were included in the regression model.…”

Section: Distributed Romentioning

confidence: 99%

Determining Spatially-Distributed Annual Water Balances for Ungauged Locations on Shikoku Island, Japan: A Comparison of Two Interpolators/D�termination de Bilans Hydriques Spatialis�s pour des Sites Non-Jaug�s de L'?le de Shikoku, au Japon: Comparaison de Deux Interpolateurs

Yao

Creed²

2005

hysj

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“…It is relatively easier to know the spatial distribution of temperature than rainfall, as the temperature at a site is strongly related to the elevation of site. Statistical relationship of temperature to geographical factors was found out and spatial temperature distribution could be well implemented (Yao et al, 1998;Yao and Terakawa, 1999). In this study a similar and improved method is to be used.…”

Section: Creation Of Grid Temperaturementioning

confidence: 99%

“…A distributed hydrological model is applied. It is a grid-orientated and GIS-based model (Yao and Terakawa, 1999;Yao et al, 1998), and improved with the flow routing algorithm in river network. The model accepts distributed daily rainfall, temperature and other inputs, estimates evapotranspiration, soil moisture and runoff generation in grids, and routes these runoffs in the digitized river network.…”

Section: Daily Discharge By Modelmentioning

confidence: 99%

Analysis on Spatial Distribution of Annual Water Budget and Daily Runoff Along River Network in a Basin

Yao

Hashino

2000

PROCEEDINGS OF HYDRAULIC ENGINEERING

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Annual and daily runoffs at most locations of a basin are unknown , which are estimated by the proposed methodology. First a squared region covering the Fuji River basin is divided into 9,450 grids of nearly 1 km2. Annual or daily precipitation data of 27 gauges in the region are used to derive the precipitation at each grid, by applying a spatial interpolation algorithm called spline function. Monthly or daily mean temperatures at grids are estimated by a step-wise regression method . Second annual water yield at any grid is obtained with Hamon and Pike formulas and the water budget equation. Runoff distribution in the river network drawn out using digital elevation data is estimated . Finally, based on daily rainfall and temperature, the daily runoffs along the rivers are simulated by a distributed hydrologic model. All runoff estimations are checked by the observations in several sites .

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“…Also, the same evaporation and transpiration kernel is used to minimize the differences due to the different model formulations. Some of the studies that used PM or energy balance method whose summary of results is presented in Table 1 are: (1) Murakami, et al (2000); (2) Mizutani and Ikeda (1995); (3) Rampisela, et al (1990); (4) Tada, et al (1996); (5) Yao and Terakawa (1999). Table 1 For the models, the initial storage was set to zero.…”

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confidence: 99%

Comparison of Forest Canopy Interception Models Combined with Penman-Monteith Equation.

Mulungu

Shiiba

Ichikawa

2002

J. Japan Soc. Hydrol. and Water Resour.

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Its use in this study was proposed because it has been widely used in Japan and in experimental sites and therefore can be used as a basis for comparison. Since much interest was on net rainfall, the control volume for the water accounting was between top of the canopy and above the ground surface and hence does not include soil moisture and transpiration. Results showed that forest canopy evaporation ranged from 22 to 29% of gross rainfall. Much model prediction differences were observed in winter, with lower rainfall intensity where wet canopy storages or rainfall did not meet the potential (atmospheric) evaporation demand.The annual net rainfall and transpiration ranged from 71 to 78% of gross rainfall and from 727 to 733 mm respectively. The adopted power function had significant impact on transpiration rate and small impact on evaporation rate for the Modified Kondo model. The Modified Kondo model predicted fairly close to the two models and therefore can be used for providing hourly input into hydrological models. The differences in the predicted hydrological fluxes resulted from the different model for mulations especially throughfall coefficients and drainage functions.

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Distributed Hydrological Model for Fuji River Basin

Cited by 12 publications

References 11 publications

Determining Spatially-Distributed Annual Water Balances for Ungauged Locations on Shikoku Island, Japan: A Comparison of Two Interpolators/D�termination de Bilans Hydriques Spatialis�s pour des Sites Non-Jaug�s de L'?le de Shikoku, au Japon: Comparaison de Deux Interpolateurs

Determining Spatially-Distributed Annual Water Balances for Ungauged Locations on Shikoku Island, Japan: A Comparison of Two Interpolators/D�termination de Bilans Hydriques Spatialis�s pour des Sites Non-Jaug�s de L'?le de Shikoku, au Japon: Comparaison de Deux Interpolateurs

Analysis on Spatial Distribution of Annual Water Budget and Daily Runoff Along River Network in a Basin

Comparison of Forest Canopy Interception Models Combined with Penman-Monteith Equation.

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